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Palladino R, Monasta L. Estimating the Prevalence and Burden of Multiple Sclerosis in China Using the Global Burden of Disease Study: Challenges and Future Directions. Neurology 2024; 102:e209521. [PMID: 38759138 DOI: 10.1212/wnl.0000000000209521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2024] Open
Affiliation(s)
- Raffaele Palladino
- From the Department of Primary Care and Public Health (R.P.), Imperial College School of Public Health, London, United Kingdom; and Institute for Maternal and Child Health IRCCS Burlo Garofolo (L.M.), Trieste, Italy
| | - Lorenzo Monasta
- From the Department of Primary Care and Public Health (R.P.), Imperial College School of Public Health, London, United Kingdom; and Institute for Maternal and Child Health IRCCS Burlo Garofolo (L.M.), Trieste, Italy
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Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2100-2132. [PMID: 38582094 DOI: 10.1016/s0140-6736(24)00367-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/15/2024] [Accepted: 02/22/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation.
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Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2204-2256. [PMID: 38762325 DOI: 10.1016/s0140-6736(24)00685-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 03/29/2024] [Accepted: 04/02/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. METHODS Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. FINDINGS In the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8-63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0-45·0] in 2050) and south Asia (31·7% [29·2-34·1] to 15·5% [13·7-17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4-40·3) to 41·1% (33·9-48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6-25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5-43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5-17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7-11·3) in the high-income super-region to 23·9% (20·7-27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5-6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2-26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [-0·6 to 3·6]). INTERPRETATION Globally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions. FUNDING Bill & Melinda Gates Foundation.
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MZ, Yousefi Z, Yu C, Yu Y, Yuan CW, Zafari N, Zakham F, Zaki N, Zamagni G, Zandi M, Zandieh GGZ, Zangiabadian M, Zastrozhin MS, Zhang H, Zhang M, Zhang Y, Zhong C, Zhou J, Zhu B, Zhu L, Zielińska M, Zou Z, Zyoud SH, Murray CJL, Smith AE, Vollset SE. Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2057-2099. [PMID: 38521087 DOI: 10.1016/s0140-6736(24)00550-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/28/2023] [Accepted: 03/15/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Accurate assessments of current and future fertility-including overall trends and changing population age structures across countries and regions-are essential to help plan for the profound social, economic, environmental, and geopolitical challenges that these changes will bring. Estimates and projections of fertility are necessary to inform policies involving resource and health-care needs, labour supply, education, gender equality, and family planning and support. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 produced up-to-date and comprehensive demographic assessments of key fertility indicators at global, regional, and national levels from 1950 to 2021 and forecast fertility metrics to 2100 based on a reference scenario and key policy-dependent alternative scenarios. METHODS To estimate fertility indicators from 1950 to 2021, mixed-effects regression models and spatiotemporal Gaussian process regression were used to synthesise data from 8709 country-years of vital and sample registrations, 1455 surveys and censuses, and 150 other sources, and to generate age-specific fertility rates (ASFRs) for 5-year age groups from age 10 years to 54 years. ASFRs were summed across age groups to produce estimates of total fertility rate (TFR). Livebirths were calculated by multiplying ASFR and age-specific female population, then summing across ages 10-54 years. To forecast future fertility up to 2100, our Institute for Health Metrics and Evaluation (IHME) forecasting model was based on projections of completed cohort fertility at age 50 years (CCF50; the average number of children born over time to females from a specified birth cohort), which yields more stable and accurate measures of fertility than directly modelling TFR. CCF50 was modelled using an ensemble approach in which three sub-models (with two, three, and four covariates variously consisting of female educational attainment, contraceptive met need, population density in habitable areas, and under-5 mortality) were given equal weights, and analyses were conducted utilising the MR-BRT (meta-regression-Bayesian, regularised, trimmed) tool. To capture time-series trends in CCF50 not explained by these covariates, we used a first-order autoregressive model on the residual term. CCF50 as a proportion of each 5-year ASFR was predicted using a linear mixed-effects model with fixed-effects covariates (female educational attainment and contraceptive met need) and random intercepts for geographical regions. Projected TFRs were then computed for each calendar year as the sum of single-year ASFRs across age groups. The reference forecast is our estimate of the most likely fertility future given the model, past fertility, forecasts of covariates, and historical relationships between covariates and fertility. We additionally produced forecasts for multiple alternative scenarios in each location: the UN Sustainable Development Goal (SDG) for education is achieved by 2030; the contraceptive met need SDG is achieved by 2030; pro-natal policies are enacted to create supportive environments for those who give birth; and the previous three scenarios combined. Uncertainty from past data inputs and model estimation was propagated throughout analyses by taking 1000 draws for past and present fertility estimates and 500 draws for future forecasts from the estimated distribution for each metric, with 95% uncertainty intervals (UIs) given as the 2·5 and 97·5 percentiles of the draws. To evaluate the forecasting performance of our model and others, we computed skill values-a metric assessing gain in forecasting accuracy-by comparing predicted versus observed ASFRs from the past 15 years (2007-21). A positive skill metric indicates that the model being evaluated performs better than the baseline model (here, a simplified model holding 2007 values constant in the future), and a negative metric indicates that the evaluated model performs worse than baseline. FINDINGS During the period from 1950 to 2021, global TFR more than halved, from 4·84 (95% UI 4·63-5·06) to 2·23 (2·09-2·38). Global annual livebirths peaked in 2016 at 142 million (95% UI 137-147), declining to 129 million (121-138) in 2021. Fertility rates declined in all countries and territories since 1950, with TFR remaining above 2·1-canonically considered replacement-level fertility-in 94 (46·1%) countries and territories in 2021. This included 44 of 46 countries in sub-Saharan Africa, which was the super-region with the largest share of livebirths in 2021 (29·2% [28·7-29·6]). 47 countries and territories in which lowest estimated fertility between 1950 and 2021 was below replacement experienced one or more subsequent years with higher fertility; only three of these locations rebounded above replacement levels. Future fertility rates were projected to continue to decline worldwide, reaching a global TFR of 1·83 (1·59-2·08) in 2050 and 1·59 (1·25-1·96) in 2100 under the reference scenario. The number of countries and territories with fertility rates remaining above replacement was forecast to be 49 (24·0%) in 2050 and only six (2·9%) in 2100, with three of these six countries included in the 2021 World Bank-defined low-income group, all located in the GBD super-region of sub-Saharan Africa. The proportion of livebirths occurring in sub-Saharan Africa was forecast to increase to more than half of the world's livebirths in 2100, to 41·3% (39·6-43·1) in 2050 and 54·3% (47·1-59·5) in 2100. The share of livebirths was projected to decline between 2021 and 2100 in most of the six other super-regions-decreasing, for example, in south Asia from 24·8% (23·7-25·8) in 2021 to 16·7% (14·3-19·1) in 2050 and 7·1% (4·4-10·1) in 2100-but was forecast to increase modestly in the north Africa and Middle East and high-income super-regions. Forecast estimates for the alternative combined scenario suggest that meeting SDG targets for education and contraceptive met need, as well as implementing pro-natal policies, would result in global TFRs of 1·65 (1·40-1·92) in 2050 and 1·62 (1·35-1·95) in 2100. The forecasting skill metric values for the IHME model were positive across all age groups, indicating that the model is better than the constant prediction. INTERPRETATION Fertility is declining globally, with rates in more than half of all countries and territories in 2021 below replacement level. Trends since 2000 show considerable heterogeneity in the steepness of declines, and only a small number of countries experienced even a slight fertility rebound after their lowest observed rate, with none reaching replacement level. Additionally, the distribution of livebirths across the globe is shifting, with a greater proportion occurring in the lowest-income countries. Future fertility rates will continue to decline worldwide and will remain low even under successful implementation of pro-natal policies. These changes will have far-reaching economic and societal consequences due to ageing populations and declining workforces in higher-income countries, combined with an increasing share of livebirths among the already poorest regions of the world. FUNDING Bill & Melinda Gates Foundation.
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Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2133-2161. [PMID: 38642570 DOI: 10.1016/s0140-6736(24)00757-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 03/07/2024] [Accepted: 04/12/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Detailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over time and across age groups, sexes, and locations. The availability of disease burden estimates can promote evidence-based interventions that enable public health researchers, policy makers, and other professionals to implement strategies that can mitigate diseases. It can also facilitate more rigorous monitoring of progress towards national and international health targets, such as the Sustainable Development Goals. For three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has filled that need. A global network of collaborators contributed to the production of GBD 2021 by providing, reviewing, and analysing all available data. GBD estimates are updated routinely with additional data and refined analytical methods. GBD 2021 presents, for the first time, estimates of health loss due to the COVID-19 pandemic. METHODS The GBD 2021 disease and injury burden analysis estimated years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries using 100 983 data sources. Data were extracted from vital registration systems, verbal autopsies, censuses, household surveys, disease-specific registries, health service contact data, and other sources. YLDs were calculated by multiplying cause-age-sex-location-year-specific prevalence of sequelae by their respective disability weights, for each disease and injury. YLLs were calculated by multiplying cause-age-sex-location-year-specific deaths by the standard life expectancy at the age that death occurred. DALYs were calculated by summing YLDs and YLLs. HALE estimates were produced using YLDs per capita and age-specific mortality rates by location, age, sex, year, and cause. 95% uncertainty intervals (UIs) were generated for all final estimates as the 2·5th and 97·5th percentiles values of 500 draws. Uncertainty was propagated at each step of the estimation process. Counts and age-standardised rates were calculated globally, for seven super-regions, 21 regions, 204 countries and territories (including 21 countries with subnational locations), and 811 subnational locations, from 1990 to 2021. Here we report data for 2010 to 2021 to highlight trends in disease burden over the past decade and through the first 2 years of the COVID-19 pandemic. FINDINGS Global DALYs increased from 2·63 billion (95% UI 2·44-2·85) in 2010 to 2·88 billion (2·64-3·15) in 2021 for all causes combined. Much of this increase in the number of DALYs was due to population growth and ageing, as indicated by a decrease in global age-standardised all-cause DALY rates of 14·2% (95% UI 10·7-17·3) between 2010 and 2019. Notably, however, this decrease in rates reversed during the first 2 years of the COVID-19 pandemic, with increases in global age-standardised all-cause DALY rates since 2019 of 4·1% (1·8-6·3) in 2020 and 7·2% (4·7-10·0) in 2021. In 2021, COVID-19 was the leading cause of DALYs globally (212·0 million [198·0-234·5] DALYs), followed by ischaemic heart disease (188·3 million [176·7-198·3]), neonatal disorders (186·3 million [162·3-214·9]), and stroke (160·4 million [148·0-171·7]). However, notable health gains were seen among other leading communicable, maternal, neonatal, and nutritional (CMNN) diseases. Globally between 2010 and 2021, the age-standardised DALY rates for HIV/AIDS decreased by 47·8% (43·3-51·7) and for diarrhoeal diseases decreased by 47·0% (39·9-52·9). Non-communicable diseases contributed 1·73 billion (95% UI 1·54-1·94) DALYs in 2021, with a decrease in age-standardised DALY rates since 2010 of 6·4% (95% UI 3·5-9·5). Between 2010 and 2021, among the 25 leading Level 3 causes, age-standardised DALY rates increased most substantially for anxiety disorders (16·7% [14·0-19·8]), depressive disorders (16·4% [11·9-21·3]), and diabetes (14·0% [10·0-17·4]). Age-standardised DALY rates due to injuries decreased globally by 24·0% (20·7-27·2) between 2010 and 2021, although improvements were not uniform across locations, ages, and sexes. Globally, HALE at birth improved slightly, from 61·3 years (58·6-63·6) in 2010 to 62·2 years (59·4-64·7) in 2021. However, despite this overall increase, HALE decreased by 2·2% (1·6-2·9) between 2019 and 2021. INTERPRETATION Putting the COVID-19 pandemic in the context of a mutually exclusive and collectively exhaustive list of causes of health loss is crucial to understanding its impact and ensuring that health funding and policy address needs at both local and global levels through cost-effective and evidence-based interventions. A global epidemiological transition remains underway. Our findings suggest that prioritising non-communicable disease prevention and treatment policies, as well as strengthening health systems, continues to be crucially important. The progress on reducing the burden of CMNN diseases must not stall; although global trends are improving, the burden of CMNN diseases remains unacceptably high. Evidence-based interventions will help save the lives of young children and mothers and improve the overall health and economic conditions of societies across the world. Governments and multilateral organisations should prioritise pandemic preparedness planning alongside efforts to reduce the burden of diseases and injuries that will strain resources in the coming decades. FUNDING Bill & Melinda Gates Foundation.
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Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2162-2203. [PMID: 38762324 DOI: 10.1016/s0140-6736(24)00933-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/11/2024] [Accepted: 05/02/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. METHODS The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk-outcome pairs. Pairs were included on the basis of data-driven determination of a risk-outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk-outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk-outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. FINDINGS Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7-9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4-9·2]), smoking (5·7% [4·7-6·8]), low birthweight and short gestation (5·6% [4·8-6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8-6·0]). For younger demographics (ie, those aged 0-4 years and 5-14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9-27·7]) and environmental and occupational risks (decrease of 22·0% [15·5-28·8]), coupled with a 49·4% (42·3-56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9-21·7] for high BMI and 7·9% [3·3-12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6-1·9) for high BMI and 1·3% (1·1-1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4-78·8) for child growth failure and 66·3% (60·2-72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). INTERPRETATION Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions. FUNDING Bill & Melinda Gates Foundation.
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Abdulkader R, Sultana A, Sun J, Sunkersing D, Susanty S, Swain CK, Sykes BL, Szarpak L, Szeto MD, Szócska M, Tabaee Damavandi P, Tabatabaei Malazy O, Tabatabaeizadeh SA, Tabatabai S, Tabb KM, Tabish M, Taborda-Barata LM, Tabuchi T, Tadesse BT, Taheri A, Taheri Abkenar Y, Taheri Soodejani M, Taherkhani A, Taiba J, Tajbakhsh A, Talaat IM, Talukder A, Tamuzi JL, Tan KK, Tang H, Tang HK, Tat NY, Tat VY, Tavakoli Oliaee R, Tavangar SM, Taveira N, Tebeje TM, Tefera YM, Teimoori M, Temsah MH, Temsah RMH, Teramoto M, Tesfaye SH, Thangaraju P, Thankappan KR, Thapa R, Thapar R, Thomas N, Thrift AG, Thum CCC, Tian J, Tichopad A, Ticoalu JHV, Tiruye TY, Tohidast SA, Tonelli M, Touvier M, Tovani-Palone MR, Tram KH, Tran NM, Trico D, Trihandini I, Tromans SJ, Truong VT, Truyen TTTT, Tsermpini EE, Tumurkhuu M, Tung K, Tyrovolas S, Ubah CS, Udoakang AJ, Udoh A, Ulhaq I, Ullah S, Ullah S, Umair M, Umar TP, Umeokonkwo CD, Umesh A, Unim B, Unnikrishnan B, Upadhyay E, Urso D, Vacante M, Vahdani AM, Vaithinathan AG, Valadan Tahbaz S, Valizadeh R, Van den Eynde J, Varavikova E, Varga O, Varma SA, Vart P, Varthya SB, Vasankari TJ, Veerman LJ, Venketasubramanian N, Venugopal D, Verghese NA, Verma M, Verma P, Veroux M, Verras GI, Vervoort D, Vieira RJ, Villafañe JH, Villani L, Villanueva GI, Villeneuve PJ, Violante FS, Visontay R, Vlassov V, Vo B, Vollset SE, Volovat SR, Volovici V, Vongpradith A, Vos T, Vujcic IS, Vukovic R, Wado YD, Wafa HA, Waheed Y, Wamai RG, Wang C, Wang D, Wang F, Wang S, Wang S, Wang Y, Wang YP, Ward P, Watson S, Weaver MR, Weerakoon KG, Weiss DJ, Weldemariam AH, Wells KM, Wen YF, Werdecker A, Westerman R, Wickramasinghe DP, Wickramasinghe ND, Wijeratne T, Wilson S, Wojewodzic MW, Wool EE, Woolf AD, Wu D, Wulandari RD, Xiao H, Xu B, Xu X, Yadav L, Yaghoubi S, Yang L, Yano Y, Yao Y, Ye P, Yesera GE, Yesodharan R, Yesuf SA, Yiğit A, Yiğit V, Yip P, Yon DK, Yonemoto N, You Y, Younis MZ, Yu C, Zadey S, Zadnik V, Zafari N, Zahedi M, Zahid MN, Zahir M, Zakham F, Zaki N, Zakzuk J, Zamagni G, Zaman BA, Zaman SB, Zamora N, Zand R, Zandi M, Zandieh GGZ, Zanghì A, Zare I, Zastrozhin MS, Zeariya MGM, Zeng Y, Zhai C, Zhang C, Zhang H, Zhang H, Zhang Y, Zhang Z, Zhang Z, Zhao H, Zhao Y, Zhao Y, Zheng P, Zhong C, Zhou J, Zhu B, Zhu Z, Ziaeefar P, Zielińska M, Zou Z, Zumla A, Zweck E, Zyoud SH, Lim SS, Murray CJL. Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950-2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:1989-2056. [PMID: 38484753 DOI: 10.1016/s0140-6736(24)00476-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/08/2023] [Accepted: 03/06/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020-21 COVID-19 pandemic period. METHODS 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. FINDINGS Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5-65·1] decline), and increased during the COVID-19 pandemic period (2020-21; 5·1% [0·9-9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98-5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50-6·01) in 2019. An estimated 131 million (126-137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7-17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8-24·8), from 49·0 years (46·7-51·3) to 71·7 years (70·9-72·5). Global life expectancy at birth declined by 1·6 years (1·0-2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67-8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4-52·7]) and south Asia (26·3% [9·0-44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. INTERPRETATION Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic. FUNDING Bill & Melinda Gates Foundation.
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Capaci V, Kharrat F, Conti A, Salviati E, Basilicata MG, Campiglia P, Balasan N, Licastro D, Caponnetto F, Beltrami AP, Monasta L, Romano F, Di Lorenzo G, Ricci G, Ura B. The Deep Proteomics Approach Identified Extracellular Vesicular Proteins Correlated to Extracellular Matrix in Type One and Two Endometrial Cancer. Int J Mol Sci 2024; 25:4650. [PMID: 38731868 PMCID: PMC11083465 DOI: 10.3390/ijms25094650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 04/19/2024] [Accepted: 04/20/2024] [Indexed: 05/13/2024] Open
Abstract
Among gynecological cancers, endometrial cancer is the most common in developed countries. Extracellular vesicles (EVs) are cell-derived membrane-surrounded vesicles that contain proteins involved in immune response and apoptosis. A deep proteomic approach can help to identify dysregulated extracellular matrix (ECM) proteins in EVs correlated to key pathways for tumor development. In this study, we used a proteomics approach correlating the two acquisitions-data-dependent acquisition (DDA) and data-independent acquisition (DIA)-on EVs from the conditioned medium of four cell lines identifying 428 ECM proteins. After protein quantification and statistical analysis, we found significant changes in the abundance (p < 0.05) of 67 proteins. Our bioinformatic analysis identified 26 pathways associated with the ECM. Western blotting analysis on 13 patients with type 1 and type 2 EC and 13 endometrial samples confirmed an altered abundance of MMP2. Our proteomics analysis identified the dysregulated ECM proteins involved in cancer growth. Our data can open the path to other studies for understanding the interaction among cancer cells and the rearrangement of the ECM.
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Affiliation(s)
- Valeria Capaci
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 65/1 Via dell’Istria, 34137 Trieste, Italy (F.K.); (A.C.); (N.B.); (F.R.); (G.D.L.); (G.R.); (B.U.)
| | - Feras Kharrat
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 65/1 Via dell’Istria, 34137 Trieste, Italy (F.K.); (A.C.); (N.B.); (F.R.); (G.D.L.); (G.R.); (B.U.)
| | - Andrea Conti
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 65/1 Via dell’Istria, 34137 Trieste, Italy (F.K.); (A.C.); (N.B.); (F.R.); (G.D.L.); (G.R.); (B.U.)
| | - Emanuela Salviati
- Department of Pharmacy, University of Salerno, 84084 Salerno, Italy; (E.S.); (P.C.)
| | - Manuela Giovanna Basilicata
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy;
| | - Pietro Campiglia
- Department of Pharmacy, University of Salerno, 84084 Salerno, Italy; (E.S.); (P.C.)
| | - Nour Balasan
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 65/1 Via dell’Istria, 34137 Trieste, Italy (F.K.); (A.C.); (N.B.); (F.R.); (G.D.L.); (G.R.); (B.U.)
| | | | - Federica Caponnetto
- Department of Medicine, University of Udine, 33100 Udine, Italy; (F.C.); (A.P.B.)
| | - Antonio Paolo Beltrami
- Department of Medicine, University of Udine, 33100 Udine, Italy; (F.C.); (A.P.B.)
- Azienda Sanitaria Universitaria Friuli Centrale, 33100 Udine, Italy
| | - Lorenzo Monasta
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 65/1 Via dell’Istria, 34137 Trieste, Italy (F.K.); (A.C.); (N.B.); (F.R.); (G.D.L.); (G.R.); (B.U.)
| | - Federico Romano
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 65/1 Via dell’Istria, 34137 Trieste, Italy (F.K.); (A.C.); (N.B.); (F.R.); (G.D.L.); (G.R.); (B.U.)
| | - Giovanni Di Lorenzo
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 65/1 Via dell’Istria, 34137 Trieste, Italy (F.K.); (A.C.); (N.B.); (F.R.); (G.D.L.); (G.R.); (B.U.)
| | - Giuseppe Ricci
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 65/1 Via dell’Istria, 34137 Trieste, Italy (F.K.); (A.C.); (N.B.); (F.R.); (G.D.L.); (G.R.); (B.U.)
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy
| | - Blendi Ura
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 65/1 Via dell’Istria, 34137 Trieste, Italy (F.K.); (A.C.); (N.B.); (F.R.); (G.D.L.); (G.R.); (B.U.)
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Bender RG, Sirota SB, Swetschinski LR, Dominguez RMV, Novotney A, Wool EE, Ikuta KS, Vongpradith A, Rogowski ELB, Doxey M, Troeger CE, Albertson SB, Ma J, He J, Maass KL, A.F.Simões E, Abdoun M, Abdul Aziz JM, Abdulah DM, Abu Rumeileh S, Abualruz H, Aburuz S, Adepoju AV, Adha R, Adikusuma W, Adra S, Afraz A, Aghamiri S, Agodi A, Ahmadzade AM, Ahmed H, Ahmed A, Akinosoglou K, AL-Ahdal TMA, Al-amer RM, Albashtawy M, AlBataineh MT, Alemi H, Al-Gheethi AAS, Ali A, Ali SSS, Alqahtani JS, AlQudah M, Al-Tawfiq JA, Al-Worafi YM, Alzoubi KH, Amani R, Amegbor PM, Ameyaw EK, Amuasi JH, Anil A, Anyanwu PE, Arafat M, Areda D, Arefnezhad R, Atalell KA, Ayele F, Azzam AY, Babamohamadi H, Babin FX, Bahurupi Y, Baker S, Banik B, Barchitta M, Barqawi HJ, Basharat Z, Baskaran P, Batra K, Batra R, Bayileyegn NS, Beloukas A, Berkley JA, Beyene KA, Bhargava A, Bhattacharjee P, Bielicki JA, Bilalaga MM, Bitra VR, Brown CS, Burkart K, Bustanji Y, Carr S, Chahine Y, Chattu VK, Chichagi F, Chopra H, Chukwu IS, Chung E, Dadana S, Dai X, Dandona L, Dandona R, Darban I, Dash NR, Dashti M, Dashtkoohi M, Dekker DM, Delgado-Enciso I, Devanbu VGC, Dhama K, Diao N, Do THP, Dokova KG, Dolecek C, Dziedzic AM, Eckmanns T, Ed-Dra A, Efendi F, Eftekharimehrabad A, Eyre DW, Fahim A, Feizkhah A, Felton TW, Ferreira N, Flor LS, Gaihre S, Gebregergis MW, Gebrehiwot M, Geffers C, Gerema U, Ghaffari K, Goldust M, Goleij P, Guan SY, Gudeta MD, Guo C, Gupta VB, Gupta I, Habibzadeh F, Hadi NR, Haeuser E, Hailu WB, Hajibeygi R, Haj-Mirzaian A, Haller S, Hamiduzzaman M, Hanifi N, Hansel J, Hasnain MS, Haubold J, Hoan NQ, Huynh HH, Iregbu KC, Islam MR, Jafarzadeh A, Jairoun AA, Jalili M, Jomehzadeh N, Joshua CE, Kabir MA, Kamal Z, Kanmodi KK, Kantar RS, Karimi Behnagh A, Kaur N, Kaur H, Khamesipour F, Khan MN, Khan suheb MZ, Khanal V, Khatab K, Khatib MN, Kim G, Kim K, Kitila ATT, Komaki S, Krishan K, Krumkamp R, Kuddus MA, Kurniasari MD, Lahariya C, Latifinaibin K, Le NHH, Le TTT, Le TDT, Lee SW, LEPAPE A, Lerango TL, Li MC, Mahboobipour AA, Malhotra K, Mallhi TH, Manoharan A, Martinez-Guerra BA, Mathioudakis AG, Mattiello R, May J, McManigal B, McPhail SM, Mekene Meto T, Mendez-Lopez MAM, Meo SA, Merati M, Mestrovic T, Mhlanga L, Minh LHN, Misganaw A, Mishra V, Misra AK, Mohamed NS, Mohammadi E, Mohammed M, Mohammed M, Mokdad AH, Monasta L, Moore CE, Motappa R, Mougin V, Mousavi P, Mulita F, Mulu AA, Naghavi P, Naik GR, Nainu F, Nair TS, Nargus S, Negaresh M, Nguyen HTH, Nguyen DH, Nguyen VT, Nikolouzakis TK, Noman EA, Nri-Ezedi CA, Odetokun IA, Okwute PG, Olana MD, Olanipekun TO, Olasupo OO, Olivas-Martinez A, Ordak M, Ortiz-Brizuela E, Ouyahia A, Padubidri JR, Pak A, Pandey A, Pantazopoulos I, Parija PP, Parikh RR, Park S, Parthasarathi A, Pashaei A, Peprah P, Pham HT, Poddighe D, Pollard A, Ponce-De-Leon A, Prakash PY, Prates EJS, Quan NK, Raee P, Rahim F, Rahman M, Rahmati M, Ramasamy SK, Ranjan S, Rao IR, Rashid AM, Rattanavong S, Ravikumar N, Reddy MMRK, Redwan EMM, Reiner RC, Reyes LF, Roberts T, Rodrigues M, Rosenthal VD, Roy P, Runghien T, Saeed U, Saghazadeh A, Saheb Sharif-Askari N, Saheb Sharif-Askari F, Sahoo SS, Sahu M, Sakshaug JW, Salami AA, Saleh MA, Salehi omran H, Sallam M, Samadzadeh S, Samodra YL, Sanjeev RK, Sarasmita MA, Saravanan A, Sartorius B, Saulam J, Schumacher AE, Seyedi SA, Shafie M, Shahid S, Sham S, Shamim MA, Shamshirgaran MA, Shastry RP, Sherchan SP, Shiferaw D, Shittu A, Siddig EE, Sinto R, Sood A, Sorensen RJD, Stergachis A, Stoeva TZ, Swain CK, Szarpak L, Tamuzi JL, Temsah MH, Tessema MBT, Thangaraju P, Tran NM, Tran NH, Tumurkhuu M, Ty SS, Udoakang AJ, Ulhaq I, Umar TP, Umer AA, Vahabi SM, Vaithinathan AG, Van den Eynde J, Walson JL, Waqas M, Xing Y, Yadav MK, Yahya G, Yon DK, Zahedi Bialvaei A, Zakham F, Zeleke AM, Zhai C, Zhang Z, Zhang H, Zielińska M, Zheng P, Aravkin AY, Vos T, Hay SI, Mosser JF, Lim SS, Naghavi M, Murray CJL, Kyu HH. Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990-2021: a systematic analysis from the Global Burden of Disease Study 2021. Lancet Infect Dis 2024:S1473-3099(24)00176-2. [PMID: 38636536 DOI: 10.1016/s1473-3099(24)00176-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/19/2024] [Accepted: 03/07/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Lower respiratory infections (LRIs) are a major global contributor to morbidity and mortality. In 2020-21, non-pharmaceutical interventions associated with the COVID-19 pandemic reduced not only the transmission of SARS-CoV-2, but also the transmission of other LRI pathogens. Tracking LRI incidence and mortality, as well as the pathogens responsible, can guide health-system responses and funding priorities to reduce future burden. We present estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 of the burden of non-COVID-19 LRIs and corresponding aetiologies from 1990 to 2021, inclusive of pandemic effects on the incidence and mortality of select respiratory viruses, globally, regionally, and for 204 countries and territories. METHODS We estimated mortality, incidence, and aetiology attribution for LRI, defined by the GBD as pneumonia or bronchiolitis, not inclusive of COVID-19. We analysed 26 259 site-years of mortality data using the Cause of Death Ensemble model to estimate LRI mortality rates. We analysed all available age-specific and sex-specific data sources, including published literature identified by a systematic review, as well as household surveys, hospital admissions, health insurance claims, and LRI mortality estimates, to generate internally consistent estimates of incidence and prevalence using DisMod-MR 2.1. For aetiology estimation, we analysed multiple causes of death, vital registration, hospital discharge, microbial laboratory, and literature data using a network analysis model to produce the proportion of LRI deaths and episodes attributable to the following pathogens: Acinetobacter baumannii, Chlamydia spp, Enterobacter spp, Escherichia coli, fungi, group B streptococcus, Haemophilus influenzae, influenza viruses, Klebsiella pneumoniae, Legionella spp, Mycoplasma spp, polymicrobial infections, Pseudomonas aeruginosa, respiratory syncytial virus (RSV), Staphylococcus aureus, Streptococcus pneumoniae, and other viruses (ie, the aggregate of all viruses studied except influenza and RSV), as well as a residual category of other bacterial pathogens. FINDINGS Globally, in 2021, we estimated 344 million (95% uncertainty interval [UI] 325-364) incident episodes of LRI, or 4350 episodes (4120-4610) per 100 000 population, and 2·18 million deaths (1·98-2·36), or 27·7 deaths (25·1-29·9) per 100 000. 502 000 deaths (406 000-611 000) were in children younger than 5 years, among which 254 000 deaths (197 000-320 000) occurred in countries with a low Socio-demographic Index. Of the 18 modelled pathogen categories in 2021, S pneumoniae was responsible for the highest proportions of LRI episodes and deaths, with an estimated 97·9 million (92·1-104·0) episodes and 505 000 deaths (454 000-555 000) globally. The pathogens responsible for the second and third highest episode counts globally were other viral aetiologies (46·4 million [43·6-49·3] episodes) and Mycoplasma spp (25·3 million [23·5-27·2]), while those responsible for the second and third highest death counts were S aureus (424 000 [380 000-459 000]) and K pneumoniae (176 000 [158 000-194 000]). From 1990 to 2019, the global all-age non-COVID-19 LRI mortality rate declined by 41·7% (35·9-46·9), from 56·5 deaths (51·3-61·9) to 32·9 deaths (29·9-35·4) per 100 000. From 2019 to 2021, during the COVID-19 pandemic and implementation of associated non-pharmaceutical interventions, we estimated a 16·0% (13·1-18·6) decline in the global all-age non-COVID-19 LRI mortality rate, largely accounted for by a 71·8% (63·8-78·9) decline in the number of influenza deaths and a 66·7% (56·6-75·3) decline in the number of RSV deaths. INTERPRETATION Substantial progress has been made in reducing LRI mortality, but the burden remains high, especially in low-income and middle-income countries. During the COVID-19 pandemic, with its associated non-pharmaceutical interventions, global incident LRI cases and mortality attributable to influenza and RSV declined substantially. Expanding access to health-care services and vaccines, including S pneumoniae, H influenzae type B, and novel RSV vaccines, along with new low-cost interventions against S aureus, could mitigate the LRI burden and prevent transmission of LRI-causing pathogens. FUNDING Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care (UK).
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Steinmetz JD, Seeher KM, Schiess N, Nichols E, Cao B, Servili C, Cavallera V, Cousin E, Hagins H, Moberg ME, Mehlman ML, Abate YH, Abbas J, Abbasi MA, Abbasian M, Abbastabar H, Abdelmasseh M, Abdollahi M, Abdollahi M, Abdollahifar MA, Abd-Rabu R, Abdulah DM, Abdullahi A, Abedi A, Abedi V, Abeldaño Zuñiga RA, Abidi H, Abiodun O, Aboagye RG, Abolhassani H, Aboyans V, Abrha WA, Abualhasan A, Abu-Gharbieh E, Aburuz S, Adamu LH, Addo IY, Adebayo OM, Adekanmbi V, Adekiya TA, Adikusuma W, Adnani QES, Adra S, Afework T, Afolabi AA, Afraz A, Afzal S, Aghamiri S, Agodi A, Agyemang-Duah W, Ahinkorah BO, Ahmad A, Ahmad D, Ahmad S, Ahmadzade AM, Ahmed A, Ahmed A, Ahmed H, Ahmed JQ, Ahmed LA, Ahmed MB, Ahmed SA, Ajami M, Aji B, Ajumobi O, Akade SE, Akbari M, Akbarialiabad H, Akhlaghi S, Akinosoglou K, Akinyemi RO, Akonde M, Al Hasan SM, Alahdab F, AL-Ahdal TMA, Al-amer RM, Albashtawy M, AlBataineh MT, Aldawsari KA, Alemi H, Alemi S, Algammal AM, Al-Gheethi AAS, Alhalaiqa FAN, Alhassan RK, Ali A, Ali EA, Ali L, Ali MU, Ali MM, Ali R, Ali S, Ali SSS, Ali Z, Alif SM, Alimohamadi Y, Aliyi AA, Aljofan M, Aljunid SM, Alladi S, Almazan JU, Almustanyir S, Al-Omari B, Alqahtani JS, Alqasmi I, Alqutaibi AY, Al-Shahi Salman R, Altaany Z, Al-Tawfiq JA, Altirkawi KA, Alvis-Guzman N, Al-Worafi YM, Aly H, Aly S, Alzoubi KH, Amani R, Amindarolzarbi A, Amiri S, Amirzade-Iranaq MH, Amu H, Amugsi DA, Amusa GA, Amzat J, Ancuceanu R, Anderlini D, Anderson DB, Andrei CL, Androudi S, Angappan D, Angesom TW, Anil A, Ansari-Moghaddam A, Anwer R, Arafat M, Aravkin AY, Areda D, Ariffin H, Arifin H, Arkew M, Ärnlöv J, Arooj M, Artamonov AA, Artanti KD, Aruleba RT, Asadi-Pooya AA, Asena TF, Asghari-Jafarabadi M, Ashraf M, Ashraf T, Atalell KA, Athari SS, Atinafu BTT, Atorkey P, Atout MMW, Atreya A, Aujayeb A, Avan A, Ayala Quintanilla BP, Ayatollahi H, Ayinde OO, Ayyoubzadeh SM, Azadnajafabad S, Azizi Z, Azizian K, Azzam AY, Babaei M, Badar M, Badiye AD, Baghdadi S, Bagherieh S, Bai R, Baig AA, Balakrishnan S, Balalla S, Baltatu OC, Banach M, Bandyopadhyay S, Banerjee I, Baran MF, Barboza MA, Barchitta M, Bardhan M, Barker-Collo SL, Bärnighausen TW, Barrow A, Bashash D, Bashiri H, Bashiru HA, Basiru A, Basso JD, Basu S, Batiha AMM, Batra K, Baune BT, Bedi N, Begde A, Begum T, Behnam B, Behnoush AH, Beiranvand M, Béjot Y, Bekele A, Belete MA, Belgaumi UI, Bemanalizadeh M, Bender RG, Benfor B, Bennett DA, Bensenor IM, Berice B, Bettencourt PJG, Beyene KA, Bhadra A, Bhagat DS, Bhangdia K, Bhardwaj N, Bhardwaj P, Bhargava A, Bhaskar S, Bhat AN, Bhat V, Bhatti GK, Bhatti JS, Bhatti R, Bijani A, Bikbov B, Bilalaga MM, Biswas A, Bitaraf S, Bitra VR, Bjørge T, Bodolica V, Bodunrin AO, Boloor A, Braithwaite D, Brayne C, Brenner H, Briko A, Bringas Vega ML, Brown J, Budke CM, Buonsenso D, Burkart K, Burns RA, Bustanji Y, Butt MH, Butt NS, Butt ZA, Cabral LS, Caetano dos Santos FL, Calina D, Campos-Nonato IR, Cao C, Carabin H, Cárdenas R, Carreras G, Carvalho AF, Castañeda-Orjuela CA, Casulli A, Catalá-López F, Catapano AL, Caye A, Cegolon L, Cenderadewi M, Cerin E, Chacón-Uscamaita PRU, Chan JSK, Chanie GS, Charan J, Chattu VK, Chekol Abebe E, Chen H, Chen J, Chi G, Chichagi F, Chidambaram SB, Chimoriya R, Ching PR, Chitheer A, Chong YY, Chopra H, Choudhari SG, Chowdhury EK, Chowdhury R, Christensen H, Chu DT, Chukwu IS, Chung E, Coberly K, Columbus A, Comachio J, Conde J, Cortesi PA, Costa VM, Couto RAS, Criqui MH, Cruz-Martins N, Dabbagh Ohadi MA, Dadana S, Dadras O, Dai X, Dai Z, D'Amico E, Danawi HA, Dandona L, Dandona R, Darwish AH, Das S, Das S, Dascalu AM, Dash NR, Dashti M, De la Hoz FP, de la Torre-Luque A, De Leo D, Dean FE, Dehghan A, Dehghan A, Dejene H, Demant D, Demetriades AK, Demissie S, Deng X, Desai HD, Devanbu VGC, Dhama K, Dharmaratne SD, Dhimal M, Dias da Silva D, Diaz D, Dibas M, Ding DD, Dinu M, Dirac MA, Diress M, Do TC, Do THP, Doan KDK, Dodangeh M, Doheim MF, Dokova KG, Dongarwar D, Dsouza HL, Dube J, Duraisamy S, Durojaiye OC, Dutta S, Dziedzic AM, Edinur HA, Eissazade N, Ekholuenetale M, Ekundayo TC, El Nahas N, El Sayed I, Elahi Najafi MA, Elbarazi I, Elemam NM, Elgar FJ, Elgendy IY, Elhabashy HR, Elhadi M, Elilo LT, Ellenbogen RG, Elmeligy OAA, Elmonem MA, Elshaer M, Elsohaby I, Emamverdi M, Emeto TI, Endres M, Esezobor CI, Eskandarieh S, Fadaei A, Fagbamigbe AF, Fahim A, Faramarzi A, Fares J, Farjoud Kouhanjani M, Faro A, Farzadfar F, Fatehizadeh A, Fathi M, Fathi S, Fatima SAF, Feizkhah A, Fereshtehnejad SM, Ferrari AJ, Ferreira N, Fetensa G, Firouraghi N, Fischer F, Fonseca AC, Force LM, Fornari A, Foroutan B, Fukumoto T, Gadanya MA, Gaidhane AM, Galali Y, Galehdar N, Gan Q, Gandhi AP, Ganesan B, Gardner WM, Garg N, Gau SY, Gautam RK, Gebre T, Gebrehiwot M, Gebremeskel GG, Gebreslassie HG, Getacher L, Ghaderi Yazdi B, Ghadirian F, Ghaffarpasand F, Ghanbari R, Ghasemi M, Ghazy RM, Ghimire S, Gholami A, Gholamrezanezhad A, Ghotbi E, Ghozy S, Gialluisi A, Gill PS, Glasstetter LM, Gnedovskaya EV, Golchin A, Golechha M, Goleij P, Golinelli D, Gomes-Neto M, Goulart AC, Goyal A, Gray RJ, Grivna M, Guadie HA, Guan B, Guarducci G, Guicciardi S, Gunawardane DA, Guo H, Gupta B, Gupta R, Gupta S, Gupta VB, Gupta VK, Gutiérrez RA, Habibzadeh F, Hachinski V, Haddadi R, Hadei M, Hadi NR, Haep N, Haile TG, Haj-Mirzaian A, Hall BJ, Halwani R, Hameed S, Hamiduzzaman M, Hammoud A, Han H, Hanifi N, Hankey GJ, Hannan MA, Hao J, Harapan H, Hareru HE, Hargono A, Harlianto NI, Haro JM, Hartman NN, Hasaballah AI, Hasan F, Hasani H, Hasanian M, Hassan A, Hassan S, Hassanipour S, Hassankhani H, Hassen MB, Haubold J, Hay SI, Hayat K, Hegazy MI, Heidari G, Heidari M, Heidari-Soureshjani R, Hesami H, Hezam K, Hiraike Y, Hoffman HJ, Holla R, Hopf KP, Horita N, Hossain MM, Hossain MB, Hossain S, Hosseinzadeh H, Hosseinzadeh M, Hostiuc S, Hu C, Huang J, Huda MN, Hussain J, Hussein NR, Huynh HH, Hwang BF, Ibitoye SE, Ilaghi M, Ilesanmi OS, Ilic IM, Ilic MD, Immurana M, Iravanpour F, Islam SMS, Ismail F, Iso H, Isola G, Iwagami M, Iwu CCD, Iyer M, Jaan A, Jacob L, Jadidi-Niaragh F, Jafari M, Jafarinia M, Jafarzadeh A, Jahankhani K, Jahanmehr N, Jahrami H, Jaiswal A, Jakovljevic M, Jamora RDG, Jana S, Javadi N, Javed S, Javeed S, Jayapal SK, Jayaram S, Jiang H, Johnson CO, Johnson WD, Jokar M, Jonas JB, Joseph A, Joseph N, Joshua CE, Jürisson M, Kabir A, Kabir Z, Kabito GG, Kadashetti V, Kafi F, Kalani R, Kalantar F, Kaliyadan F, Kamath A, Kamath S, Kanchan T, Kandel A, Kandel H, Kanmodi KK, Karajizadeh M, Karami J, Karanth SD, Karaye IM, Karch A, Karimi A, Karimi H, Karimi Behnagh A, Kasraei H, Kassebaum NJ, Kauppila JH, Kaur H, Kaur N, Kayode GA, Kazemi F, Keikavoosi-Arani L, Keller C, Keykhaei M, Khadembashiri MA, Khader YS, Khafaie MA, Khajuria H, Khalaji A, Khamesipour F, Khammarnia M, Khan M, Khan MAB, Khan YH, Khan Suheb MZ, Khanmohammadi S, Khanna T, Khatab K, Khatatbeh H, Khatatbeh MM, Khateri S, Khatib MN, Khayat Kashani HR, Khonji MS, khorashadizadeh F, Khormali M, Khubchandani J, Kian S, Kim G, Kim J, Kim MS, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Kivimäki M, Kochhar S, Kolahi AA, Koly KN, Kompani F, Koroshetz WJ, Kosen S, Kourosh Arami M, Koyanagi A, Kravchenko MA, Krishan K, Krishnamoorthy V, Kuate Defo B, Kuddus MA, Kumar A, Kumar GA, Kumar M, Kumar N, Kumsa NB, Kundu S, Kurniasari MD, Kusuma D, Kuttikkattu A, Kyu HH, La Vecchia C, Ladan MA, Lahariya C, Laksono T, Lal DK, Lallukka T, Lám J, Lami FH, Landires I, Langguth B, Lasrado S, Latief K, Latifinaibin K, Lau KMM, Laurens MB, Lawal BK, Le LKD, Le TTT, Ledda C, Lee M, Lee SW, Lee SW, Lee WC, Lee YH, Leonardi M, Lerango TL, Li MC, Li W, Ligade VS, Lim SS, Linehan C, Liu C, Liu J, Liu W, Lo CH, Lo WD, Lobo SW, Logroscino G, Lopes G, Lopukhov PD, Lorenzovici L, Lorkowski S, Loureiro JA, Lubinda J, Lucchetti G, Lutzky Saute R, Ma ZF, Mabrok M, Machoy M, Madadizadeh F, Magdy Abd El Razek M, Maghazachi AA, Maghbouli N, Mahjoub S, Mahmoudi M, Majeed A, Malagón-Rojas JN, Malakan Rad E, Malhotra K, Malik AA, Malik I, Mallhi TH, Malta DC, Manilal A, Mansouri V, Mansournia MA, Marasini BP, Marateb HR, Maroufi SF, Martinez-Raga J, Martini S, Martins-Melo FR, Martorell M, März W, Marzo RR, Massano J, Mathangasinghe Y, Mathews E, Maude RJ, Maugeri A, Maulik PK, Mayeli M, Mazaheri M, McAlinden C, McGrath JJ, Meena JK, Mehndiratta MM, Mendez-Lopez MAM, Mendoza W, Mendoza-Cano O, Menezes RG, Merati M, Meretoja A, Merkin A, Mersha AM, Mestrovic T, Mi T, Miazgowski T, Michalek IM, Mihretie ET, Minh LHN, Mirfakhraie R, Mirica A, Mirrakhimov EM, Mirzaei M, Misganaw A, Misra S, Mithra P, Mizana BA, Mohamadkhani A, Mohamed NS, Mohammadi E, Mohammadi H, Mohammadi S, Mohammadi S, Mohammadshahi M, Mohammed M, Mohammed S, Mohammed S, Mohan S, Mojiri-forushani H, Moka N, Mokdad AH, Molinaro S, Möller H, Monasta L, Moniruzzaman M, Montazeri F, Moradi M, Moradi Y, Moradi-Lakeh M, Moraga P, Morovatdar N, Morrison SD, Mosapour A, Mosser JF, Mossialos E, Motaghinejad M, Mousavi P, Mousavi SE, Mubarik S, Muccioli L, Mughal F, Mukoro GD, Mulita A, Mulita F, Musaigwa F, Mustafa A, Mustafa G, Muthu S, Nagarajan AJ, Naghavi P, Naik GR, Nainu F, Nair TS, Najmuldeen HHR, Nakhostin Ansari N, Nambi G, Namdar Areshtanab H, Nargus S, Nascimento BR, Naser AY, Nashwan AJJ, Nasoori H, Nasreldein A, Natto ZS, Nauman J, Nayak BP, Nazri-Panjaki A, Negaresh M, Negash H, Negoi I, Negoi RI, Negru SM, Nejadghaderi SA, Nematollahi MH, Nesbit OD, Newton CRJ, Nguyen DH, Nguyen HTH, Nguyen HQ, Nguyen NTT, Nguyen PT, Nguyen VT, Niazi RK, Nikolouzakis TK, Niranjan V, Nnyanzi LA, Noman EA, Noroozi N, Norrving B, Noubiap JJ, Nri-Ezedi CA, Ntaios G, Nuñez-Samudio V, Nurrika D, Oancea B, Odetokun IA, O'Donnell MJ, Ogunsakin RE, Oguta JO, Oh IH, Okati-Aliabad H, Okeke SR, Okekunle AP, Okonji OC, Okwute PG, Olagunju AT, Olaiya MT, Olana MD, Olatubi MI, Oliveira GMM, Olufadewa II, Olusanya BO, Omar Bali A, Ong S, Onwujekwe OE, Ordak M, Orji AU, Ortega-Altamirano DV, Osuagwu UL, Otstavnov N, Otstavnov SS, Ouyahia A, Owolabi MO, P A MP, Pacheco-Barrios K, Padubidri JR, Pal PK, Palange PN, Palladino C, Palladino R, Palma-Alvarez RF, Pan F, Panagiotakos D, Panda-Jonas S, Pandey A, Pandey A, Pandian JD, Pangaribuan HU, Pantazopoulos I, Pardhan S, Parija PP, Parikh RR, Park S, Parthasarathi A, Pashaei A, Patel J, Patil S, Patoulias D, Pawar S, Pedersini P, Pensato U, Pereira DM, Pereira J, Pereira MO, Peres MFP, Perico N, Perna S, Petcu IR, Petermann-Rocha FE, Pham HT, Phillips MR, Pinilla-Monsalve GD, Piradov MA, Plotnikov E, Poddighe D, Polat B, Poluru R, Pond CD, Poudel GR, Pouramini A, Pourbagher-Shahri AM, Pourfridoni M, Pourtaheri N, Prakash PY, Prakash S, Prakash V, Prates EJS, Pritchett N, Purnobasuki H, Qasim NH, Qattea I, Qian G, Radhakrishnan V, Raee P, Raeisi Shahraki H, Rafique I, Raggi A, Raghav PR, Rahati MM, Rahim F, Rahimi Z, Rahimifard M, Rahman MO, Rahman MHU, Rahman M, Rahman MA, Rahmani AM, Rahmani S, Rahmani Youshanlouei H, Rahmati M, Raj Moolambally S, Rajabpour-Sanati A, Ramadan H, Ramasamy SK, Ramasubramani P, Ramazanu S, Rancic N, Rao IR, Rao SJ, Rapaka D, Rashedi V, Rashid AM, Rashidi MM, Rashidi Alavijeh M, Rasouli-Saravani A, Rawaf S, Razo C, Redwan EMM, Rekabi Bana A, Remuzzi G, Rezaei N, Rezaei N, Rezaei N, Rezaeian M, Rhee TG, Riad A, Robinson SR, Rodrigues M, Rodriguez JAB, Roever L, Rogowski ELB, Romoli M, Ronfani L, Roy P, Roy Pramanik K, Rubagotti E, Ruiz MA, Russ TC, S Sunnerhagen K, Saad AMA, Saadatian Z, Saber K, SaberiKamarposhti M, Sacco S, Saddik B, Sadeghi E, Sadeghian S, Saeed U, Saeed U, Safdarian M, Safi SZ, Sagar R, Sagoe D, Saheb Sharif-Askari F, Saheb Sharif-Askari N, Sahebkar A, Sahoo SS, Sahraian MA, Sajedi SA, Sakshaug JW, Saleh MA, Salehi Omran H, Salem MR, Salimi S, Samadi Kafil H, Samadzadeh S, Samargandy S, Samodra YL, Samuel VP, Samy AM, Sanadgol N, Sanjeev RK, Sanmarchi F, Santomauro DF, Santri IN, Santric-Milicevic MM, Saravanan A, Sarveazad A, Satpathy M, Saylan M, Sayyah M, Scarmeas N, Schlaich MP, Schuermans A, Schwarzinger M, Schwebel DC, Selvaraj S, Sendekie AK, Sengupta P, Senthilkumaran S, Serban D, Sergindo MT, Sethi Y, SeyedAlinaghi S, Seylani A, Shabani M, Shabany M, Shafie M, Shahabi S, Shahbandi A, Shahid S, Shahraki-Sanavi F, Shahsavari HR, Shahwan MJ, Shaikh MA, Shaji KS, Sham S, Shama ATT, Shamim MA, Shams-Beyranvand M, Shamsi MA, Shanawaz M, Sharath M, Sharfaei S, Sharifan A, Sharma M, Sharma R, Shashamo BB, Shayan M, Sheikhi RA, Shekhar S, Shen J, Shenoy SM, Shetty PH, Shiferaw DS, Shigematsu M, Shiri R, Shittu A, Shivakumar KM, Shokri F, Shool S, Shorofi SA, Shrestha S, Siankam Tankwanchi AB, Siddig EE, Sigfusdottir ID, Silva JP, Silva LMLR, Sinaei E, Singh BB, Singh G, Singh P, Singh S, Sirota SB, Sivakumar S, Sohag AAM, Solanki R, Soleimani H, Solikhah S, Solomon Y, Solomon Y, Song S, Song Y, Sotoudeh H, Spartalis M, Stark BA, Starnes JR, Starodubova AV, Stein DJ, Steiner TJ, Stovner LJ, Suleman M, Suliankatchi Abdulkader R, Sultana A, Sun J, Sunkersing D, Sunny A, Susianti H, Swain CK, Szeto MD, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabai S, Tabish M, Taheri M, Tahvildari A, Tajbakhsh A, Tampa M, Tamuzi JJLL, Tan KK, Tang H, Tareke M, Tarigan IU, Tat NY, Tat VY, Tavakoli Oliaee R, Tavangar SM, Tavasol A, Tefera YM, Tehrani-Banihashemi A, Temesgen WA, Temsah MH, Teramoto M, Tesfaye AH, Tesfaye EG, Tesler R, Thakali O, Thangaraju P, Thapa R, Thapar R, Thomas NK, Thrift AG, Ticoalu JHV, Tillawi T, Toghroli R, Tonelli M, Tovani-Palone MR, Traini E, Tran NM, Tran NH, Tran PV, Tromans SJ, Truelsen TC, Truyen TTTT, Tsatsakis A, Tsegay GM, Tsermpini EE, Tualeka AR, Tufa DG, Ubah CS, Udoakang AJ, Ulhaq I, Umair M, Umakanthan S, Umapathi KK, Unim B, Unnikrishnan B, Vaithinathan AG, Vakilian A, Valadan Tahbaz S, Valizadeh R, Van den Eynde J, Vart P, Varthya SB, Vasankari TJ, Vaziri S, Vellingiri B, Venketasubramanian N, Verras GI, Vervoort D, Villafañe JH, Villani L, Vinueza Veloz AF, Viskadourou M, Vladimirov SK, Vlassov V, Volovat SR, Vu LT, Vujcic IS, Wagaye B, Waheed Y, Wahood W, Walde MT, Wang F, Wang S, Wang Y, Wang YP, Waqas M, Waris A, Weerakoon KG, Weintraub RG, Weldemariam AH, Westerman R, Whisnant JL, Wickramasinghe DP, Wickramasinghe ND, Willekens B, Wilner LB, Winkler AS, Wolfe CDA, Wu AM, Wulf Hanson S, Xu S, Xu X, Yadollahpour A, Yaghoubi S, Yahya G, Yamagishi K, Yang L, Yano Y, Yao Y, Yehualashet SS, Yeshaneh A, Yesiltepe M, Yi S, Yiğit A, Yiğit V, Yon DK, Yonemoto N, You Y, Younis MZ, Yu C, Yusuf H, Zadey S, Zahedi M, Zakham F, Zaki N, Zali A, Zamagni G, Zand R, Zandieh GGZ, Zangiabadian M, Zarghami A, Zastrozhin MS, Zeariya MGM, Zegeye ZB, Zeukeng F, Zhai C, Zhang C, Zhang H, Zhang Y, Zhang ZJ, Zhao H, Zhao Y, Zheng P, Zhou H, Zhu B, Zhumagaliuly A, Zielińska M, Zikarg YT, Zoladl M, Murray CJL, Ong KL, Feigin VL, Vos T, Dua T. Global, regional, and national burden of disorders affecting the nervous system, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Neurol 2024; 23:344-381. [PMID: 38493795 PMCID: PMC10949203 DOI: 10.1016/s1474-4422(24)00038-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021. METHODS We estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined. FINDINGS Globally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378-521), affecting 3·40 billion (3·20-3·62) individuals (43·1%, 40·5-45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7-26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6-38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5-32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7-2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer. INTERPRETATION As the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed. FUNDING Bill & Melinda Gates Foundation.
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Ledesma JR, Ma J, Zhang M, Basting AVL, Chu HT, Vongpradith A, Novotney A, LeGrand KE, Xu YY, Dai X, Nicholson SI, Stafford LK, Carter A, Ross JM, Abbastabar H, Abdoun M, Abdulah DM, Aboagye RG, Abolhassani H, Abrha WA, Abubaker Ali H, Abu-Gharbieh E, Aburuz S, Addo IY, Adepoju AV, Adhikari K, Adnani QES, Adra S, Afework A, Aghamiri S, Agyemang-Duah W, Ahinkorah BO, Ahmad D, Ahmad S, Ahmadzade AM, Ahmed H, Ahmed M, Ahmed A, Akinosoglou K, AL-Ahdal TMA, Alam N, Albashtawy M, AlBataineh MT, Al-Gheethi AAS, Ali A, Ali EA, Ali L, Ali Z, Ali SSS, Allel K, Altaf A, Al-Tawfiq JA, Alvis-Guzman N, Alvis-Zakzuk NJ, Amani R, Amusa GA, Amzat J, Andrews JR, Anil A, Anwer R, Aravkin AY, Areda D, Artamonov AA, Aruleba RT, Asemahagn MA, Atre SR, Aujayeb A, Azadi D, Azadnajafabad S, Azzam AY, Badar M, Badiye AD, Bagherieh S, Bahadorikhalili S, Baig AA, Banach M, Banik B, Bardhan M, Barqawi HJ, Basharat Z, Baskaran P, Basu S, Beiranvand M, Belete MA, Belew MA, Belgaumi UI, Beloukas A, Bettencourt PJG, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhargava A, Bhat V, Bhatti JS, Bhatti GK, Bikbov B, Bitra VR, Bjegovic-Mikanovic V, Buonsenso D, Burkart K, Bustanji Y, Butt ZA, Camargos P, Cao Y, Carr S, Carvalho F, Cegolon L, Cenderadewi M, Cevik M, Chahine Y, Chattu VK, Ching PR, Chopra H, Chung E, Claassens MM, Coberly K, Cruz-Martins N, Dabo B, Dadana S, Dadras O, Darban I, Darega Gela J, Darwesh AM, Dashti M, Demessa BH, Demisse B, Demissie S, Derese AMA, Deribe K, Desai HD, Devanbu VGC, Dhali A, Dhama K, Dhingra S, Do THP, Dongarwar D, Dsouza HL, Dube J, Dziedzic AM, Ed-Dra A, Efendi F, Effendi DE, Eftekharimehrabad A, Ekadinata N, Ekundayo TC, Elhadi M, Elilo LT, Emeto TI, Engelbert Bain L, Fagbamigbe AF, Fahim A, Feizkhah A, Fetensa G, Fischer F, Gaipov A, Gandhi AP, Gautam RK, Gebregergis MW, Gebrehiwot M, Gebrekidan KG, Ghaffari K, Ghassemi F, Ghazy RM, Goodridge A, Goyal A, Guan SY, Gudeta MD, Guled RA, Gultom NB, Gupta VB, Gupta VK, Gupta S, Hagins H, Hailu SG, Hailu WB, Hamidi S, Hanif A, Harapan H, Hasan RS, Hassan S, Haubold J, Hezam K, Hong SH, Horita N, Hossain MB, Hosseinzadeh M, Hostiuc M, Hostiuc S, Huynh HH, Ibitoye SE, Ikuta KS, Ilic IM, Ilic MD, Islam MR, Ismail NE, Ismail F, Jafarzadeh A, Jakovljevic M, Jalili M, Janodia MD, Jomehzadeh N, Jonas JB, Joseph N, Joshua CE, Kabir Z, Kamble BD, Kanchan T, Kandel H, Kanmodi KK, Kantar RS, Karaye IM, Karimi Behnagh A, Kassa GG, Kaur RJ, Kaur N, Khajuria H, Khamesipour F, Khan YH, Khan MN, Khan Suheb MZ, Khatab K, Khatami F, Kim MS, Kosen S, Koul PA, Koulmane Laxminarayana SL, Krishan K, Kucuk Bicer B, Kuddus MA, Kulimbet M, Kumar N, Lal DK, Landires I, Latief K, Le TDT, Le TTT, Ledda C, Lee M, Lee SW, Lerango TL, Lim SS, Liu C, Liu X, Lopukhov PD, Luo H, Lv H, Mahajan PB, Mahboobipour AA, Majeed A, Malakan Rad E, Malhotra K, Malik MSA, Malinga LA, Mallhi TH, Manilal A, Martinez-Guerra BA, Martins-Melo FR, Marzo RR, Masoumi-Asl H, Mathur V, Maude RJ, Mehrotra R, Memish ZA, Mendoza W, Menezes RG, Merza MA, Mestrovic T, Mhlanga L, Misra S, Misra AK, Mithra P, Moazen B, Mohammed H, Mokdad AH, Monasta L, Moore CE, Mousavi P, Mulita F, Musaigwa F, Muthusamy R, Nagarajan AJ, Naghavi P, Naik GR, Naik G, Nair S, Nair TS, Natto ZS, Nayak BP, Negash H, Nguyen DH, Nguyen VT, Niazi RK, Nnaji CA, Nnyanzi LA, Noman EA, Nomura S, Oancea B, Obamiro KO, Odetokun IA, Odo DBO, Odukoya OO, Oh IH, Okereke CO, Okonji OC, Oren E, Ortiz-Brizuela E, Osuagwu UL, Ouyahia A, P A MP, Parija PP, Parikh RR, Park S, Parthasarathi A, Patil S, Pawar S, Peng M, Pepito VCF, Peprah P, Perdigão J, Perico N, Pham HT, Postma MJ, Prabhu ARA, Prasad M, Prashant A, Prates EJS, Rahim F, Rahman M, Rahman MA, Rahmati M, Rajaa S, Ramasamy SK, Rao IR, Rao SJ, Rapaka D, Rashid AM, Ratan ZA, Ravikumar N, Rawaf S, Reddy MMRK, Redwan EMM, Remuzzi G, Reyes LF, Rezaei N, Rezaeian M, Rezahosseini O, Rodrigues M, Roy P, Ruela GDA, Sabour S, Saddik B, Saeed U, Safi SZ, Saheb Sharif-Askari N, Saheb Sharif-Askari F, Sahebkar A, Sahiledengle B, Sahoo SS, Salam N, Salami AA, Saleem S, Saleh MA, Samadi Kafil H, Samadzadeh S, Samodra YL, Sanjeev RK, Saravanan A, Sawyer SM, Selvaraj S, Senapati S, Senthilkumaran S, Shah PA, Shahid S, Shaikh MA, Sham S, Shamshirgaran MA, Shanawaz M, Sharath M, Sherchan SP, Shetty RS, Shirzad-Aski H, Shittu A, Siddig EE, Silva JP, Singh S, Singh P, Singh H, Singh JA, Siraj MS, Siswanto S, Solanki R, Solomon Y, Soriano JB, Sreeramareddy CT, Srivastava VK, Steiropoulos P, Swain CK, Tabuchi T, Tampa M, Tamuzi JJLL, Tat NY, Tavakoli Oliaee R, Teklay G, Tesfaye EG, Tessema B, Thangaraju P, Thapar R, Thum CCC, Ticoalu JHV, Tleyjeh IM, Tobe-Gai R, Toma TM, Tram KH, Udoakang AJ, Umar TP, Umeokonkwo CD, Vahabi SM, Vaithinathan AG, van Boven JFM, Varthya SB, Wang Z, Warsame MSA, Westerman R, Wonde TE, Yaghoubi S, Yi S, Yiğit V, Yon DK, Yonemoto N, Yu C, Zakham F, Zangiabadian M, Zeukeng F, Zhang H, Zhao Y, Zheng P, Zielińska M, Salomon JA, Reiner Jr RC, Naghavi M, Vos T, Hay SI, Murray CJL, Kyu HH. Global, regional, and national age-specific progress towards the 2020 milestones of the WHO End TB Strategy: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Infect Dis 2024:S1473-3099(24)00007-0. [PMID: 38518787 DOI: 10.1016/s1473-3099(24)00007-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 12/09/2023] [Accepted: 01/08/2024] [Indexed: 03/24/2024]
Abstract
BACKGROUND Global evaluations of the progress towards the WHO End TB Strategy 2020 interim milestones on mortality (35% reduction) and incidence (20% reduction) have not been age specific. We aimed to assess global, regional, and national-level burdens of and trends in tuberculosis and its risk factors across five separate age groups, from 1990 to 2021, and to report on age-specific progress between 2015 and 2020. METHODS We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 (GBD 2021) analytical framework to compute age-specific tuberculosis mortality and incidence estimates for 204 countries and territories (1990-2021 inclusive). We quantified tuberculosis mortality among individuals without HIV co-infection using 22 603 site-years of vital registration data, 1718 site-years of verbal autopsy data, 825 site-years of sample-based vital registration data, 680 site-years of mortality surveillance data, and 9 site-years of minimally invasive tissue sample (MITS) diagnoses data as inputs into the Cause of Death Ensemble modelling platform. Age-specific HIV and tuberculosis deaths were established with a population attributable fraction approach. We analysed all available population-based data sources, including prevalence surveys, annual case notifications, tuberculin surveys, and tuberculosis mortality, in DisMod-MR 2.1 to produce internally consistent age-specific estimates of tuberculosis incidence, prevalence, and mortality. We also estimated age-specific tuberculosis mortality without HIV co-infection that is attributable to the independent and combined effects of three risk factors (smoking, alcohol use, and diabetes). As a secondary analysis, we examined the potential impact of the COVID-19 pandemic on tuberculosis mortality without HIV co-infection by comparing expected tuberculosis deaths, modelled with trends in tuberculosis deaths from 2015 to 2019 in vital registration data, with observed tuberculosis deaths in 2020 and 2021 for countries with available cause-specific mortality data. FINDINGS We estimated 9·40 million (95% uncertainty interval [UI] 8·36 to 10·5) tuberculosis incident cases and 1·35 million (1·23 to 1·52) deaths due to tuberculosis in 2021. At the global level, the all-age tuberculosis incidence rate declined by 6·26% (5·27 to 7·25) between 2015 and 2020 (the WHO End TB strategy evaluation period). 15 of 204 countries achieved a 20% decrease in all-age tuberculosis incidence between 2015 and 2020, eight of which were in western sub-Saharan Africa. When stratified by age, global tuberculosis incidence rates decreased by 16·5% (14·8 to 18·4) in children younger than 5 years, 16·2% (14·2 to 17·9) in those aged 5-14 years, 6·29% (5·05 to 7·70) in those aged 15-49 years, 5·72% (4·02 to 7·39) in those aged 50-69 years, and 8·48% (6·74 to 10·4) in those aged 70 years and older, from 2015 to 2020. Global tuberculosis deaths decreased by 11·9% (5·77 to 17·0) from 2015 to 2020. 17 countries attained a 35% reduction in deaths due to tuberculosis between 2015 and 2020, most of which were in eastern Europe (six countries) and central Europe (four countries). There was variable progress by age: a 35·3% (26·7 to 41·7) decrease in tuberculosis deaths in children younger than 5 years, a 29·5% (25·5 to 34·1) decrease in those aged 5-14 years, a 15·2% (10·0 to 20·2) decrease in those aged 15-49 years, a 7·97% (0·472 to 14·1) decrease in those aged 50-69 years, and a 3·29% (-5·56 to 9·07) decrease in those aged 70 years and older. Removing the combined effects of the three attributable risk factors would have reduced the number of all-age tuberculosis deaths from 1·39 million (1·28 to 1·54) to 1·00 million (0·703 to 1·23) in 2020, representing a 36·5% (21·5 to 54·8) reduction in tuberculosis deaths compared to those observed in 2015. 41 countries were included in our analysis of the impact of the COVID-19 pandemic on tuberculosis deaths without HIV co-infection in 2020, and 20 countries were included in the analysis for 2021. In 2020, 50 900 (95% CI 49 700 to 52 400) deaths were expected across all ages, compared to an observed 45 500 deaths, corresponding to 5340 (4070 to 6920) fewer deaths; in 2021, 39 600 (38 300 to 41 100) deaths were expected across all ages compared to an observed 39 000 deaths, corresponding to 657 (-713 to 2180) fewer deaths. INTERPRETATION Despite accelerated progress in reducing the global burden of tuberculosis in the past decade, the world did not attain the first interim milestones of the WHO End TB Strategy in 2020. The pace of decline has been unequal with respect to age, with older adults (ie, those aged >50 years) having the slowest progress. As countries refine their national tuberculosis programmes and recalibrate for achieving the 2035 targets, they could consider learning from the strategies of countries that achieved the 2020 milestones, as well as consider targeted interventions to improve outcomes in older age groups. FUNDING Bill & Melinda Gates Foundation.
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Abbafati C, Nieddu L, Monasta L. Measures of type 2 diabetes burden in Italy assessed using the AMD dataset over a twelve year span across the Great Recession. Sci Rep 2024; 14:4901. [PMID: 38418541 PMCID: PMC10901812 DOI: 10.1038/s41598-024-54989-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 02/19/2024] [Indexed: 03/01/2024] Open
Abstract
Patients with Type 2 Diabetes Mellitus (T2DM) are rapidly increasing in Italy due to aging, preventable risk factors, and worsening socioeconomic context. T2DM and its sequelae take a heavy toll on healthcare systems and the economy, given costly management, difficulties in coping with everyday life, and decreasing patient/worker productivity. Considering long life expectancy in Italy and a decreasing mortality rate due to T2DM, this study aims to calculate the years lived with disability (YLDs) of T2DM and its sequelae grouped into three categories: Neuropathy, Chronic Kidney Disease and No Complications, taking into consideration sex, year, and geographical location. This is the first attempt to measure YLDs from data that do not rely on self-reported diabetes diagnoses. Data come from the Italian Diabetologists Association dataset, the most comprehensive longitudinal source of national outpatient data. YLDs are obtained by multiplying the number of individuals living with a specific health condition and a disability weight which represents the magnitude of health loss associated with that particular condition. Findings show increasing YLD age-standardized rates for T2DM and its sequelae, especially Neuropathy, with the trend being stronger in the central macro-region and among men, and that 2009 marks a structural change in YLD growth rate. Systematic data collection for measuring the burden of diseases is key, among other things, to policy-making and implementation.
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Affiliation(s)
- Cristiana Abbafati
- Department of Juridical and Economic Studies, Sapienza University of Rome, P.le A. Moro 5, 00185, Rome, Italy.
| | - Luciano Nieddu
- Department of Humanistic and International Social Sciences, UNINT University for International Studies, Via C. Colombo, 200, 00147, Rome, Italy
| | - Lorenzo Monasta
- Clinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", 34137, Trieste, Italy
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Armocida B, Monasta L, Sawyer SM, Bustreo F, Onder G, Castelpietra G, Pricci F, Minardi V, Giacomozzi C, Abbafati C, Stafford LK, Pasovic M, Hay SI, Ong KL, Perel P, Beran D. The Burden of Type 1 and Type 2 Diabetes Among Adolescents and Young Adults in 24 Western European Countries, 1990-2019: Results From the Global Burden of Disease Study 2019. Int J Public Health 2024; 68:1606491. [PMID: 38420040 PMCID: PMC10899430 DOI: 10.3389/ijph.2023.1606491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 12/18/2023] [Indexed: 03/02/2024] Open
Abstract
Objectives: As little is known about the burden of type 1 (T1DM) and type 2 diabetes (T2DM) in adolescents in Western Europe (WE), we aimed to explore their epidemiology among 10-24 year-olds. Methods: Estimates were retrieved from the Global Burden of Diseases Study (GBD) 2019. We reported counts, rates per 100,000 population, and percentage changes from 1990 to 2019 for prevalence, incidence and years lived with disability (YLDs) of T1DM and T2DM, and the burden of T2DM in YLDs attributable to high body mass index (HBMI), for 24 WE countries. Results: In 2019, prevalence and disability estimates were higher for T1DM than T2DM among 10-24 years old adolescents in WE. However, T2DM showed a greater increase in prevalence and disability than T1DM in the 30 years observation period in all WE countries. Prevalence increased with age, while only minor differences were observed between sexes. Conclusion: Our findings highlight the substantial burden posed by DM in WE among adolescents. Health system responses are needed for transition services, data collection systems, education, and obesity prevention.
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Affiliation(s)
- Benedetta Armocida
- Division of Tropical and Humanitarian Medicine, University of Geneva, Geneva, Switzerland
- Department of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy
| | - Lorenzo Monasta
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, Trieste, Italy
| | - Susan M Sawyer
- Department of Paediatrics, Murdoch Children's Research Institute, Centre for Adolescent Health, Royal Children's Hospital Melbourne, University of Melbourne, Melbourne, VIC, Australia
| | | | - Graziano Onder
- Fondazione Policlinico Gemelli IRCCS, Rome, Italy
- Department of Geriatric and Orthopedic Sciences, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Giulio Castelpietra
- Outpatient and Inpatient Care Service, Central Health Directorate, Trieste, Italy
| | - Flavia Pricci
- Department of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy
| | - Valentina Minardi
- National Centre for Disease Prevention and Health Promotion, Istituto Superiore di Sanità, Rome, Italy
| | - Claudia Giacomozzi
- Department of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy
| | - Cristiana Abbafati
- Department of Juridical and Economic Studies, Sapienza University of Rome, Rome, Italy
| | - Lauryn K Stafford
- Institute for Health Metrics and Evaluation, Seattle, WA, United States
| | - Maja Pasovic
- Institute for Health Metrics and Evaluation, Seattle, WA, United States
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, Seattle, WA, United States
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, United States
| | - Kanyin Lian Ong
- Institute for Health Metrics and Evaluation, Seattle, WA, United States
| | - Pablo Perel
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - David Beran
- Division of Tropical and Humanitarian Medicine, University of Geneva and Geneva University Hospitals, Geneva, Switzerland
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Pellegrin MC, Marzin C, Monasta L, Tamaro G, Vidonis V, Vittori G, Faleschini E, Barbi E, Tornese G. A Short-Duration Gonadotropin-Releasing Hormone Stimulation Test for the Diagnosis of Central Precocious Puberty. Medicina (Kaunas) 2023; 60:24. [PMID: 38256285 PMCID: PMC10818694 DOI: 10.3390/medicina60010024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 12/16/2023] [Accepted: 12/20/2023] [Indexed: 01/24/2024]
Abstract
Background and Objectives: The gonadotropin-releasing hormone (GnRH) stimulation test is the gold standard method for diagnosing central precocious puberty (CPP), although it requires multiple blood samplings over 120 min. This study aimed to evaluate if a shorter test may have an equivalent diagnostic accuracy. Materials and Methods: We retrospectively reviewed the GnRH tests of 188 consecutive pediatric patients (169 females) referred for signs of early pubertal development. The diagnostic accuracy of the hormonal levels was evaluated at different time points (15, 0, 60, 90, and 120 min after the GnRH stimulus). Results: A diagnosis of CPP was made in 130 cases (69%), with 111 (85%) being female. Sensitivity and specificity ratings higher than 99% for the diagnosis of CPP were achieved for LH levels ≥4.7 mU/mL at 30 and 60 min after the stimulus (area under the ROC curve (AUC) = 1), with no further increase in the diagnostic accuracy in the remaining time points. No sex differences in diagnostic accuracy were found. The LH/FSH ratio at 30 min showed a sensitivity of 94.9%, with an AUC of 0.997 and a value ≥0.76. Conclusions: A short-duration GnRH test of 60 min provided optimal results for the diagnosis of CPP. Extending the test for an extra hour is therefore unnecessary and inadvisable.
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Affiliation(s)
| | - Chiara Marzin
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34129 Trieste, Italy
| | - Lorenzo Monasta
- Institute for Maternal and Child Health IRCCS Burlo Garofolo, 34129 Trieste, Italy
| | - Gianluca Tamaro
- Institute for Maternal and Child Health IRCCS Burlo Garofolo, 34129 Trieste, Italy
| | - Viviana Vidonis
- Institute for Maternal and Child Health IRCCS Burlo Garofolo, 34129 Trieste, Italy
| | - Giada Vittori
- Institute for Maternal and Child Health IRCCS Burlo Garofolo, 34129 Trieste, Italy
| | - Elena Faleschini
- Institute for Maternal and Child Health IRCCS Burlo Garofolo, 34129 Trieste, Italy
| | - Egidio Barbi
- Institute for Maternal and Child Health IRCCS Burlo Garofolo, 34129 Trieste, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34129 Trieste, Italy
| | - Gianluca Tornese
- Institute for Maternal and Child Health IRCCS Burlo Garofolo, 34129 Trieste, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34129 Trieste, Italy
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Capaci V, Monasta L, Aloisio M, Sommella E, Salviati E, Campiglia P, Basilicata MG, Kharrat F, Licastro D, Di Lorenzo G, Romano F, Ricci G, Ura B. A Multi-Omics Approach Revealed Common Dysregulated Pathways in Type One and Type Two Endometrial Cancers. Int J Mol Sci 2023; 24:16057. [PMID: 38003247 PMCID: PMC10671314 DOI: 10.3390/ijms242216057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 10/31/2023] [Accepted: 11/02/2023] [Indexed: 11/26/2023] Open
Abstract
Endometrial cancer (EC) is the most frequent gynecologic cancer in postmenopausal women. Pathogenetic mechanisms that are related to the onset and progression of the disease are largely still unknown. A multi-omics strategy can help identify altered pathways that could be targeted for improving therapeutical approaches. In this study we used a multi-omics approach on four EC cell lines for the identification of common dysregulated pathways in type 1 and 2 ECs. We analyzed proteomics and metabolomics of AN3CA, HEC1A, KLE and ISHIKAWA cell lines by mass spectrometry. The bioinformatic analysis identified 22 common pathways that are in common with both types of EC. In addition, we identified five proteins and 13 metabolites common to both types of EC. Western blotting analysis on 10 patients with type 1 and type 2 EC and 10 endometria samples confirmed the altered abundance of NPEPPS. Our multi-omics analysis identified dysregulated proteins and metabolites involved in EC tumor growth. Further studies are needed to understand the role of these molecules in EC. Our data can shed light on common pathways to better understand the mechanisms involved in the development and growth of EC, especially for the development of new therapies.
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Affiliation(s)
- Valeria Capaci
- Institute for Maternal and Child Health, IRCCS Institute for Maternal and Child Health-IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (F.K.); (G.D.L.); (F.R.); (G.R.); (B.U.)
| | - Lorenzo Monasta
- Institute for Maternal and Child Health, IRCCS Institute for Maternal and Child Health-IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (F.K.); (G.D.L.); (F.R.); (G.R.); (B.U.)
| | - Michelangelo Aloisio
- Institute for Maternal and Child Health, IRCCS Institute for Maternal and Child Health-IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (F.K.); (G.D.L.); (F.R.); (G.R.); (B.U.)
| | - Eduardo Sommella
- Department of Pharmacy, University of Salerno, 84084 Salerno, Italy; (E.S.); (E.S.); (P.C.); (M.G.B.)
| | - Emanuela Salviati
- Department of Pharmacy, University of Salerno, 84084 Salerno, Italy; (E.S.); (E.S.); (P.C.); (M.G.B.)
| | - Pietro Campiglia
- Department of Pharmacy, University of Salerno, 84084 Salerno, Italy; (E.S.); (E.S.); (P.C.); (M.G.B.)
| | | | - Feras Kharrat
- Institute for Maternal and Child Health, IRCCS Institute for Maternal and Child Health-IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (F.K.); (G.D.L.); (F.R.); (G.R.); (B.U.)
| | | | - Giovanni Di Lorenzo
- Institute for Maternal and Child Health, IRCCS Institute for Maternal and Child Health-IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (F.K.); (G.D.L.); (F.R.); (G.R.); (B.U.)
| | - Federico Romano
- Institute for Maternal and Child Health, IRCCS Institute for Maternal and Child Health-IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (F.K.); (G.D.L.); (F.R.); (G.R.); (B.U.)
| | - Giuseppe Ricci
- Institute for Maternal and Child Health, IRCCS Institute for Maternal and Child Health-IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (F.K.); (G.D.L.); (F.R.); (G.R.); (B.U.)
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy
| | - Blendi Ura
- Institute for Maternal and Child Health, IRCCS Institute for Maternal and Child Health-IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (F.K.); (G.D.L.); (F.R.); (G.R.); (B.U.)
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Gill TK, Mittinty MM, March LM, Steinmetz JD, Culbreth GT, Cross M, Kopec JA, Woolf AD, Haile LM, Hagins H, Ong KL, Kopansky-Giles DR, Dreinhoefer KE, Betteridge N, Abbasian M, Abbasifard M, Abedi K, Adesina MA, Aithala JP, Akbarzadeh-Khiavi M, Al Thaher Y, Alalwan TA, Alzahrani H, Amiri S, Antony B, Arabloo J, Aravkin AY, Arumugam A, Aryal KK, Athari SS, Atreya A, Baghdadi S, Bardhan M, Barrero LH, Bearne LM, Bekele AB, Bensenor IM, Bhardwaj P, Bhatti R, Bijani A, Bordianu T, Bouaoud S, Briggs AM, Cheema HA, Christensen SWM, Chukwu IS, Clarsen B, Dai X, de Luca K, Desye B, Dhimal M, Do TC, Fagbamigbe AF, Farokh Forghani S, Ferreira N, Ganesan B, Gebrehiwot M, Ghashghaee A, Graham SM, Harlianto NI, Hartvigsen J, Hasaballah AI, Hasanian M, Hassen MB, Hay SI, Heidari M, Hsiao AK, Ilic IM, Jokar M, Khajuria H, Khan MJ, Khanal P, Khateri S, Kiadaliri A, Kim MS, Kisa A, Kolahi AA, Krishan K, Krishnamoorthy V, Landires I, Larijani B, Le TTT, Lee YH, Lim SS, Lo J, Madani SP, Malagón-Rojas JN, Malik I, Marateb HR, Mathew AJ, Meretoja TJ, Mesregah MK, Mestrovic T, Mirahmadi A, Misganaw A, Mohaghegh S, Mokdad AH, Momenzadeh K, Momtazmanesh S, Monasta L, Moni MA, Moradi Y, Mostafavi E, Muhammad JS, Murray CJL, Muthu S, Nargus S, Nassereldine H, Neupane S, Niazi RK, Oh IH, Okati-Aliabad H, Oulhaj A, Pacheco-Barrios K, Park S, Patel J, Pawar S, Pedersini P, Peres MFP, Petcu IR, Petermann-Rocha FE, Poursadeqiyan M, Qattea I, Qureshi MF, Rafferty Q, Rahimi-Dehgolan S, Rahman M, Ramasamy SK, Rashedi V, Redwan EMM, Ribeiro DC, Roever L, Safary A, Sagoe D, Saheb Sharif-Askari F, Sahebkar A, Salehi S, Shafaat A, Shahabi S, Sharma S, Shashamo BB, Shiri R, Singh A, Slater H, Smith AE, Sunuwar DR, Tabish M, Tharwat S, Ullah I, Valadan Tahbaz S, Vasankari TJ, Villafañe JH, Vollset SE, Wiangkham T, Yonemoto N, You Y, Zare I, Zheng P, Vos T, Brooks PM. Global, regional, and national burden of other musculoskeletal disorders, 1990-2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. Lancet Rheumatol 2023; 5:e670-e682. [PMID: 37927903 PMCID: PMC10620749 DOI: 10.1016/s2665-9913(23)00232-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
Background Musculoskeletal disorders include more than 150 different conditions affecting joints, muscles, bones, ligaments, tendons, and the spine. To capture all health loss from death and disability due to musculoskeletal disorders, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) includes a residual musculoskeletal category for conditions other than osteoarthritis, rheumatoid arthritis, gout, low back pain, and neck pain. This category is called other musculoskeletal disorders and includes, for example, systemic lupus erythematosus and spondylopathies. We provide updated estimates of the prevalence, mortality, and disability attributable to other musculoskeletal disorders and forecasted prevalence to 2050. Methods Prevalence of other musculoskeletal disorders was estimated in 204 countries and territories from 1990 to 2020 using data from 68 sources across 23 countries from which subtraction of cases of rheumatoid arthritis, osteoarthritis, low back pain, neck pain, and gout from the total number of cases of musculoskeletal disorders was possible. Data were analysed with Bayesian meta-regression models to estimate prevalence by year, age, sex, and location. Years lived with disability (YLDs) were estimated from prevalence and disability weights. Mortality attributed to other musculoskeletal disorders was estimated using vital registration data. Prevalence was forecast to 2050 by regressing prevalence estimates from 1990 to 2020 with Socio-demographic Index as a predictor, then multiplying by population forecasts. Findings Globally, 494 million (95% uncertainty interval 431-564) people had other musculoskeletal disorders in 2020, an increase of 123·4% (116·9-129·3) in total cases from 221 million (192-253) in 1990. Cases of other musculoskeletal disorders are projected to increase by 115% (107-124) from 2020 to 2050, to an estimated 1060 million (95% UI 964-1170) prevalent cases in 2050; most regions were projected to have at least a 50% increase in cases between 2020 and 2050. The global age-standardised prevalence of other musculoskeletal disorders was 47·4% (44·9-49·4) higher in females than in males and increased with age to a peak at 65-69 years in male and female sexes. In 2020, other musculoskeletal disorders was the sixth ranked cause of YLDs globally (42·7 million [29·4-60·0]) and was associated with 83 100 deaths (73 600-91 600). Interpretation Other musculoskeletal disorders were responsible for a large number of global YLDs in 2020. Until individual conditions and risk factors are more explicitly quantified, policy responses to this burden remain a challenge. Temporal trends and geographical differences in estimates of non-fatal disease burden should not be overinterpreted as they are based on sparse, low-quality data. Funding Bill & Melinda Gates Foundation.
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Andreella A, Monasta L, Campostrini S. A novel comorbidity index in Italy based on diseases detected by the surveillance system PASSI and the Global Burden of Diseases disability weights. Popul Health Metr 2023; 21:18. [PMID: 37904213 PMCID: PMC10617130 DOI: 10.1186/s12963-023-00317-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 10/16/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND Understanding comorbidity and its burden characteristics is essential for policymakers and healthcare providers to allocate resources accordingly. However, several definitions of comorbidity burden can be found in the literature. The main reason for these differences lies in the available information about the analyzed diseases (i.e., the target population studied), how to define the burden of diseases, and how to aggregate the occurrence of the detected health conditions. METHODS In this manuscript, we focus on data from the Italian surveillance system PASSI, proposing an index of comorbidity burden based on the disability weights from the Global Burden of Disease (GBD) project. We then analyzed the co-presence of ten non-communicable diseases, weighting their burden thanks to the GBD disability weights extracted by a multi-step procedure. The first step selects a set of GBD weights for each disease detected in PASSI using text mining. The second step utilizes an additional variable from PASSI (i.e., the perceived health variable) to associate a single disability weight for each disease detected in PASSI. Finally, the disability weights are combined to form the comorbidity burden index using three approaches common in the literature. RESULTS The comorbidity index (i.e., combined disability weights) proposed allows an exploration of the magnitude of the comorbidity burden in several Italian sub-populations characterized by different socioeconomic characteristics. Thanks to that, we noted that the level of comorbidity burden is greater in the sub-population characterized by low educational qualifications and economic difficulties than in the rich sub-population characterized by a high level of education. In addition, we found no substantial differences in terms of predictive values of comorbidity burden adopting different approaches in combining the disability weights (i.e., additive, maximum, and multiplicative approaches), making the Italian comorbidity index proposed quite robust and general.
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Affiliation(s)
- Angela Andreella
- Department of Economics, Ca' Foscari University of Venice, Venice, Italy.
| | - Lorenzo Monasta
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
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Wu D, Jin Y, Xing Y, Abate MD, Abbasian M, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abd-Allah F, Abdelmasseh M, Abdollahifar MA, Abdulah DM, Abedi A, Abedi V, Abidi H, Aboagye RG, Abolhassani H, Abuabara K, Abyadeh M, Addo IY, Adeniji KN, Adepoju AV, Adesina MA, Sakilah Adnani QE, Afarideh M, Aghamiri S, Agodi A, Agrawal A, Aguilera Arriagada CE, Ahmad A, Ahmad D, Ahmad S, Ahmad S, Ahmadi A, Ahmed A, Ahmed A, Aithala JP, Ajadi AA, Ajami M, Akbarzadeh-Khiavi M, Alahdab F, AlBataineh MT, Alemi S, Saeed Al-Gheethi AA, Ali L, Alif SM, Almazan JU, Almustanyir S, Alqahtani JS, Alqasmi I, Khan Altaf IU, Alvis-Guzman N, Alvis-Zakzuk NJ, Al-Worafi YM, Aly H, Amani R, Amu H, Amusa GA, Andrei CL, Ansar A, Ansariniya H, Anyasodor AE, Arabloo J, Arefnezhad R, Arulappan J, Asghari-Jafarabadi M, Ashraf T, Atata JA, Athari SS, Atlaw D, Wahbi Atout MM, Aujayeb A, Awan AT, Ayatollahi H, Azadnajafabad S, Azzam AY, Badawi A, Badiye AD, Bagherieh S, Baig AA, Bantie BB, Barchitta M, Bardhan M, Barker-Collo SL, Barone-Adesi F, Batra K, Bayileyegn NS, Behnoush AH, Belgaumi UI, Bemanalizadeh M, Bensenor IM, Beyene KA, Bhagavathula AS, Bhardwaj P, Bhaskar S, Bhat AN, Bitaraf S, Bitra VR, Boloor A, Bora K, Botelho JS, Buchbinder R, Calina D, Cámera LA, Carvalho AF, Kai Chan JS, Chattu VK, Abebe EC, Chichagi F, Choi S, Chou TC, Chu DT, Coberly K, Costa VM, Couto RA, Cruz-Martins N, Dadras O, Dai X, Damiani G, Dascalu AM, Dashti M, Debela SA, Dellavalle RP, Demetriades AK, Demlash AA, Deng X, Desai HD, Desai R, Rahman Dewan SM, Dey S, Dharmaratne SD, Diaz D, Dibas M, Dinis-Oliveira RJ, Diress M, Do TC, Doan DK, Dodangeh M, Dodangeh M, Dongarwar D, Dube J, Dziedzic AM, Ed-Dra A, Edinur HA, Eissazade N, Ekholuenetale M, Ekundayo TC, Elemam NM, Elhadi M, Elmehrath AO, Abdou Elmeligy OA, Emamverdi M, Emeto TI, Esayas HL, Eshetu HB, Etaee F, Fagbamigbe AF, Faghani S, Fakhradiyev IR, Fatehizadeh A, Fathi M, Feizkhah A, Fekadu G, Fereidouni M, Fereshtehnejad SM, Fernandes JC, Ferrara P, Fetensa G, Filip I, Fischer F, Foroutan B, Foroutan M, Fukumoto T, Ganesan B, Belete Gemeda BN, Ghamari SH, Ghasemi M, Gholamalizadeh M, Gill TK, Gillum RF, Goldust M, Golechha M, Goleij P, Golinelli D, Goudarzi H, Guan SY, Guo Y, Gupta B, Gupta VB, Gupta VK, Haddadi R, Hadi NR, Halwani R, Haque S, Hasan I, Hashempour R, Hassan A, Hassan TS, Hassanzadeh S, Hassen MB, Haubold J, Hayat K, Heidari G, Heidari M, Heidari-Soureshjani R, Herteliu C, Hessami K, Hezam K, Hiraike Y, Holla R, Hosseini MS, Huynh HH, Hwang BF, Ibitoye SE, Ilic IM, Ilic MD, Iranmehr A, Iravanpour F, Ismail NE, Iwagami M, Iwu CC, Jacob L, Jafarinia M, Jafarzadeh A, Jahankhani K, Jahrami H, Jakovljevic M, Jamshidi E, Jani CT, Janodia MD, Jayapal SK, Jayaram S, Jeganathan J, Jonas JB, Joseph A, Joseph N, Joshua CE, Vaishali K, Kaambwa B, Kabir A, Kabir Z, Kadashetti V, Kaliyadan F, Kalroozi F, Kamal VK, Kandel A, Kandel H, Kanungo S, Karami J, Karaye IM, Karimi H, Kasraei H, Kazemian S, Kebede SA, Keikavoosi-Arani L, Keykhaei M, Khader YS, Khajuria H, Khamesipour F, Khan EA, Khan IA, Khan M, Khan MJ, Khan MA, Khan MA, Khatatbeh H, Khatatbeh MM, Khateri S, Khayat Kashani HR, Kim MS, Kisa A, Kisa S, Koh HY, Kolkhir P, Korzh O, Kotnis AL, Koul PA, Koyanagi A, Krishan K, Kuddus M, Kulkarni VV, Kumar N, Kundu S, Kurmi OP, La Vecchia C, Lahariya C, Laksono T, Lám J, Latief K, Lauriola P, Lawal BK, Thu Le TT, Bich Le TT, Lee M, Lee SW, Lee WC, Lee YH, Lenzi J, Levi M, Li W, Ligade VS, Lim SS, Liu G, Liu X, Llanaj E, Lo CH, Machado VS, Maghazachi AA, Mahmoud MA, Mai TA, Majeed A, Sanaye PM, Makram OM, Rad EM, Malhotra K, Malik AA, Malik I, Mallhi TH, Malta DC, Mansournia MA, Mantovani LG, Martorell M, Masoudi S, Masoumi SZ, Mathangasinghe Y, Mathews E, Mathioudakis AG, Maugeri A, Mayeli M, Carabeo Medina JR, Meles GG, Mendes JJ, Menezes RG, Mestrovic T, Michalek IM, Micheletti Gomide Nogueira de Sá AC, Mihretie ET, Nhat Minh LH, Mirfakhraie R, Mirrakhimov EM, Misganaw A, Mohamadkhani A, Mohamed NS, Mohammadi F, Mohammadi S, Mohammed S, Mohammed S, Mohan S, Mohseni A, Mokdad AH, Momtazmanesh S, Monasta L, Moni MA, Moniruzzaman M, Moradi Y, Morovatdar N, Mostafavi E, Mousavi P, Mukoro GD, Mulita A, Mulu GB, Murillo-Zamora E, Musaigwa F, Mustafa G, Muthu S, Nainu F, Nangia V, Swamy SN, Natto ZS, Navaraj P, Nayak BP, Nazri-Panjaki A, Negash H, Nematollahi MH, Nguyen DH, Hien Nguyen HT, Nguyen HQ, Nguyen PT, Nguyen VT, Niazi RK, Nikolouzakis TK, Nnyanzi LA, Noreen M, Nzoputam CI, Nzoputam OJ, Oancea B, Oh IH, Okati-Aliabad H, Okonji OC, Okwute PG, Olagunju AT, Olatubi MI, Olufadewa II, Ordak M, Otstavnov N, Owolabi MO, Mahesh P, Padubidri JR, Pak A, Pakzad R, Palladino R, Pana A, Pantazopoulos I, Papadopoulou P, Pardhan S, Parthasarathi A, Pashaei A, Patel J, Pathan AR, Patil S, Paudel U, Pawar S, Pedersini P, Pensato U, Pereira DM, Pereira J, Pereira MO, Pereira RB, Peres MF, Perianayagam A, Perna S, Petcu IR, Pezeshki PS, Pham HT, Philip AK, Piradov MA, Podder I, Podder V, Poddighe D, Sady Prates EJ, Qattea I, Radfar A, Raee P, Rafiei A, Raggi A, Rahim F, Rahimi M, Rahimifard M, Rahimi-Movaghar V, Rahman MO, Ur Rahman MH, Rahman M, Rahman MA, Rahmani AM, Rahmani M, Rahmani S, Rahmanian V, Ramasubramani P, Rancic N, Rao IR, Rashedi S, Rashid AM, Ravikumar N, Rawaf S, Mohamed Redwan EM, Rezaei N, Rezaei N, Rezaei N, Rezaeian M, Ribeiro D, Rodrigues M, Buendia Rodriguez JA, Roever L, Romero-Rodríguez E, Saad AM, Saddik B, Sadeghian S, Saeed U, Safary A, Safdarian M, Safi SZ, Saghazadeh A, Sagoe D, Sharif-Askari FS, Sharif-Askari NS, Sahebkar A, Sahoo H, Sahraian MA, Sajid MR, Sakhamuri S, Sakshaug JW, Saleh MA, Salehi L, Salehi S, Farrokhi AS, Samadzadeh S, Samargandy S, Samieefar N, Samy AM, Sanadgol N, Sanjeev RK, Sawhney M, Saya GK, Schuermans A, Senthilkumaran S, Sepanlou SG, Sethi Y, Shafie M, Shah H, Shahid I, Shahid S, Shaikh MA, Sharfaei S, Sharma M, Shayan M, Shehata HS, Sheikh A, Shetty JK, Shin JI, Shirkoohi R, Shitaye NA, Shivakumar K, Shivarov V, Shobeiri P, Siabani S, Sibhat MM, Siddig EE, Simpson CR, Sinaei E, Singh H, Singh I, Singh JA, Singh P, Singh S, Siraj MS, Al Mamun Sohag A, Solanki R, Solikhah S, Solomon Y, Soltani-Zangbar MS, Sun J, Szeto MD, Tabarés-Seisdedos R, Tabatabaei SM, Tabish M, Taheri E, Tahvildari A, Talaat IM, Lukenze Tamuzi JJ, Tan KK, Tat NY, Oliaee RT, Tavasol A, Temsah MH, Thangaraju P, Tharwat S, Tibebu NS, Vera Ticoalu JH, Tillawi T, Tiruye TY, Tiyuri A, Tovani-Palone MR, Tripathi M, Tsegay GM, Tualeka AR, Ty SS, Ubah CS, Ullah S, Ullah S, Umair M, Umakanthan S, Upadhyay E, Vahabi SM, Vaithinathan AG, Tahbaz SV, Valizadeh R, Varthya SB, Vasankari TJ, Venketasubramanian N, Verras GI, Villafañe JH, Vlassov V, Vo DC, Waheed Y, Waris A, Welegebrial BG, Westerman R, Wickramasinghe DP, Wickramasinghe ND, Willekens B, Woldegeorgis BZ, Woldemariam M, Xiao H, Yada DY, Yahya G, Yang L, Yazdanpanah F, Yon DK, Yonemoto N, You Y, Zahir M, Zaidi SS, Zangiabadian M, Zare I, Zeineddine MA, Zemedikun DT, Zeru NG, Zhang C, Zhao H, Zhong C, Zielińska M, Zoladl M, Zumla A, Guo C, Tam LS. Global, regional, and national incidence of six major immune-mediated inflammatory diseases: findings from the global burden of disease study 2019. EClinicalMedicine 2023; 64:102193. [PMID: 37731935 PMCID: PMC10507198 DOI: 10.1016/j.eclinm.2023.102193] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 09/22/2023] Open
Abstract
Background The causes for immune-mediated inflammatory diseases (IMIDs) are diverse and the incidence trends of IMIDs from specific causes are rarely studied. The study aims to investigate the pattern and trend of IMIDs from 1990 to 2019. Methods We collected detailed information on six major causes of IMIDs, including asthma, inflammatory bowel disease, multiple sclerosis, rheumatoid arthritis, psoriasis, and atopic dermatitis, between 1990 and 2019, derived from the Global Burden of Disease study in 2019. The average annual percent change (AAPC) in number of incidents and age standardized incidence rate (ASR) on IMIDs, by sex, age, region, and causes, were calculated to quantify the temporal trends. Findings In 2019, rheumatoid arthritis, atopic dermatitis, asthma, multiple sclerosis, psoriasis, inflammatory bowel disease accounted 1.59%, 36.17%, 54.71%, 0.09%, 6.84%, 0.60% of overall new IMIDs cases, respectively. The ASR of IMIDs showed substantial regional and global variation with the highest in High SDI region, High-income North America, and United States of America. Throughout human lifespan, the age distribution of incident cases from six IMIDs was quite different. Globally, incident cases of IMIDs increased with an AAPC of 0.68 and the ASR decreased with an AAPC of -0.34 from 1990 to 2019. The incident cases increased across six IMIDs, the ASR of rheumatoid arthritis increased (0.21, 95% CI 0.18, 0.25), while the ASR of asthma (AAPC = -0.41), inflammatory bowel disease (AAPC = -0.72), multiple sclerosis (AAPC = -0.26), psoriasis (AAPC = -0.77), and atopic dermatitis (AAPC = -0.15) decreased. The ASR of overall and six individual IMID increased with SDI at regional and global level. Countries with higher ASR in 1990 experienced a more rapid decrease in ASR. Interpretation The incidence patterns of IMIDs varied considerably across the world. Innovative prevention and integrative management strategy are urgently needed to mitigate the increasing ASR of rheumatoid arthritis and upsurging new cases of other five IMIDs, respectively. Funding The Global Burden of Disease Study is funded by the Bill and Melinda Gates Foundation. The project funded by Scientific Research Fund of Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (2022QN38).
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Cortesi PA, Fornari C, Conti S, Antonazzo IC, Ferrara P, Ahmed A, Andrei CL, Andrei T, Artamonov AA, Banach M, Baravelli CM, Bärnighausen TW, Bhagavathula AS, Briko NI, Calina D, Carreras G, Chung SC, Dianatinasab M, Dubljanin E, Durojaiye OC, Ezeonwumelu IJ, Fagbamigbe AF, Fischer F, Gallus S, Glushkova EV, Golinelli D, Gorini G, Hassan S, Hay SI, Hostiuc M, Ilic IM, Ilic MD, Jakovljevic M, Jamshidi E, Jozwiak JJ, Kabir Z, Kauppila JH, Khalilov R, Khan MAB, Khatab K, Koyanagi A, La Vecchia C, Lazarus JV, Ledda C, Levi M, Lopukhov PD, Loureiro JA, Matthews PC, Mentis AFA, Mestrovic T, Moazen B, Mohammed S, Monasta L, Mulita F, Murray CJL, Negoi I, Oancea B, Palladino C, Patel J, Petcu IR, Postma MJ, Rawaf DL, Rawaf S, Romero-Rodríguez E, Santric-Milicevic MM, Skryabin VY, Skryabina AA, Tabarés-Seisdedos R, Tampa M, Taveira N, Thiyagarajan A, Tovani-Palone MR, Westerman R, Zastrozhin MS, Mazzaglia G, Mantovani LG. Hepatitis B and C in Europe: an update from the Global Burden of Disease Study 2019. Lancet Public Health 2023; 8:e701-e716. [PMID: 37633679 DOI: 10.1016/s2468-2667(23)00149-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 07/10/2023] [Accepted: 07/12/2023] [Indexed: 08/28/2023]
Abstract
BACKGROUND In 2016, the World Health Assembly adopted the resolution to eliminate viral hepatitis by 2030. This study aims to provide an overview of the burdens of hepatitis B virus (HBV) and hepatitis C virus (HCV) in Europe and their changes from 2010 to 2019 using estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. METHODS We used GBD 2019 estimates of the burden associated with HBV-related and HCV-related diseases: acute hepatitis, cirrhosis and other chronic liver diseases, and liver cancer. We report total numbers and age-standardised rates per 100 000 for mortality, prevalence, incidence, and disability-adjusted life-years (DALYs) from 2010 to 2019. For each HBV-related and HCV-related disease and each measure, we analysed temporal changes and percentage changes for the 2010-19 period. FINDINGS In 2019, across all age groups, there were an estimated 2·08 million (95% uncertainty interval [UI] 1·66 to 2·54) incident cases of acute hepatitis B and 0·49 million (0·42 to 0·57) of hepatitis C in Europe. There were an estimated 8·24 million (7·56 to 8·88) prevalent cases of HBV-related cirrhosis and 11·87 million (9·77 to 14·41) of HCV-related cirrhosis, with 24·92 thousand (19·86 to 31·03) deaths due to HBV-related cirrhosis and 36·89 thousand (29·94 to 45·56) deaths due to HCV-related cirrhosis. Deaths were estimated at 9·00 thousand (6·88 to 11·62) due to HBV-related liver cancer and 23·07 thousand (18·95 to 27·31) due to HCV-related liver cancer. Between 2010 and 2019, the age-standardised incidence rate of acute hepatitis B decreased (-22·14% [95% UI -35·44 to -5·98]) as did its age-standardised mortality rate (-33·27% [-43·03 to -25·49]); the age-standardised prevalence rate (-20·60% [-22·09 to -19·10]) and mortality rate (-33·19% [-37·82 to -28·13]) of HBV-related cirrhosis also decreased in this time period. The age-standardised incidence rate of acute hepatitis C decreased by 3·24% (1·17 to 5·02) and its age-standardised mortality rate decreased by 35·73% (23·48 to 47·75) between 2010 and 2019; the age-standardised prevalence rate (-6·37% [-8·11 to -4·32]), incidence rate (-5·87% [-11·24 to -1·01]), and mortality rate (-11·11% [-16·54 to -5·53]) of HCV-related cirrhosis also decreased. No significant changes were observed in age-standardised rates of HBV-related and HCV-related liver cancer, although we observed a significant increase in numbers of cases of HCV-related liver cancer across all ages between 2010 and 2019 (16·41% [2·81 to 30·91] increase in prevalent cases). Substantial reductions in DALYs since 2010 were estimated for acute hepatitis B (-27·82% [-36·92 to -20·24]), acute hepatitis C (-27·07% [-15·97 to -39·34]), and HBV-related cirrhosis (-30·70% [-35·75 to -25·03]). A moderate reduction in DALYs was estimated for HCV-related cirrhosis (-6·19% [-0·19 to -12·57]). Only HCV-related liver cancer showed a significant increase in DALYs (10·37% [4·81-16·63]). Changes in age-standardised DALY rates closely resembled those observed for overall DALY counts, except for HCV-liver related cancer (-2·84% [-7·75 to 2·63]). INTERPRETATION Although decreases in some HBV-related and HCV-related diseases were estimated between 2010 and 2019, HBV-related and HCV-related diseases are still associated with a high burden, highlighting the need for more intensive and coordinated interventions within European countries to reach the goal of elimination by 2030. FUNDING Bill & Melinda Gates Foundation.
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Wunrow HY, Bender RG, Vongpradith A, Sirota SB, Swetschinski LR, Novotney A, Gray AP, Ikuta KS, Sharara F, Wool EE, Aali A, Abd-Elsalam S, Abdollahi A, Abdul Aziz JM, Abidi H, Aboagye RG, Abolhassani H, Abu-Gharbieh E, Adamu LH, Adane TD, Addo IY, Adegboye OA, Adekiya TA, Adnan M, Adnani QES, Afzal S, Aghamiri S, Aghdam ZB, Agodi A, Ahinkorah BO, Ahmad A, Ahmad S, Ahmadzade M, Ahmed A, Ahmed A, Ahmed JQ, Ahmed MS, Akinosoglou K, Aklilu A, Akonde M, Alahdab F, AL-Ahdal TMA, Alanezi FM, Albelbeisi AH, Alemayehu TBB, Alene KA, Al-Eyadhy A, Al-Gheethi AAS, Ali A, Ali BA, Ali L, Ali SS, Alimohamadi Y, Alipour V, Aljunid SM, Almustanyir S, Al-Raddadi RM, Alvis-Guzman N, Al-Worafi YM, Aly H, Ameyaw EK, Ancuceanu R, Ansar A, Ansari G, Anyasodor AE, Arabloo J, Aravkin AY, Areda D, Artamonov AA, Arulappan J, Aruleba RT, Asaduzzaman M, Atalell KA, Athari SS, Atlaw D, Atout MMW, Attia S, Awoke T, Ayalew MK, Ayana TM, Ayele AD, Azadnajafabad S, Azizian K, Badar M, Badiye AD, Baghcheghi N, Bagheri M, Bagherieh S, Bahadory S, Baig AA, Barac A, Barati S, Bardhan M, Basharat Z, Bashiri A, Basnyat B, Bassat Q, Basu S, Bayileyegn NS, Bedi N, Behnoush AH, Bekel AA, Belete MA, Bello OO, Bhagavathula AS, Bhandari D, Bhardwaj P, Bhaskar S, Bhat AN, Bijani A, Bineshfar N, Boloor A, Bouaoud S, Buonsenso D, Burkart K, Cámera LA, Castañeda-Orjuela CA, Cernigliaro A, Charan J, Chattu VK, Ching PR, Chopra H, Choudhari SG, Christopher DJ, Chu DT, Couto RAS, Cruz-Martins N, Dadras O, Dai X, Dandona L, Dandona R, Das S, Dash NR, Dashti M, De la Hoz FP, Debela SA, Dejen D, Dejene H, Demeke D, Demeke FM, Demessa BH, Demetriades AK, Demissie S, Dereje D, Dervišević E, Desai HD, Dessie AM, Desta F, Dhama K, Djalalinia S, Do TC, Dodangeh M, Dodangeh M, Dominguez RMV, Dongarwar D, Dsouza HL, Durojaiye OC, Dziedzic AM, Ekat MH, Ekholuenetale M, Ekundayo TC, El Sayed Zaki M, El-Abid H, Elhadi M, El-Hajj VG, El-Huneidi W, El-Sakka AA, Esayas HL, Fagbamigbe AF, Falahi S, Fares J, Fatehizadeh A, Fatima SAF, Feasey NA, Fekadu G, Fetensa G, Feyissa D, Fischer F, Foroutan B, Gaal PA, Gadanya MA, Gaipov A, Ganesan B, Gebrehiwot M, Gebrekidan KG, Gebremeskel TG, Gedef GM, Gela YY, Gerema U, Gessner BD, Getachew ME, Ghadiri K, Ghaffari K, Ghamari SH, Ghanbari R, Ghazy RMM, Ghozali G, Gizaw ABAB, Glushkova EV, Goldust M, Golechha M, Guadie HA, Guled RA, Gupta M, Gupta S, Gupta VB, Gupta VK, Gupta VK, Hadi NR, Haj-Mirzaian A, Haller S, Hamidi S, Haque S, Harapan H, Hasaballah AI, Hasan I, Hasani H, Hasanian M, Hassankhani H, Hassen MB, Hayat K, Heidari M, Heidari-Foroozan M, Heidari-Soureshjani R, Hezam K, Holla R, Horita N, Hossain MM, Hosseini MS, Hosseinzadeh M, Hostiuc S, Hussain S, Hussein NR, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Imam MT, Iregbu KC, Ismail NE, Iwu CCD, Jaja C, Jakovljevic M, Jamshidi E, Javadi Mamaghani A, Javidnia J, Jokar M, Jomehzadeh N, Joseph N, Joshua CE, Jozwiak JJ, Kabir Z, Kalankesh LR, Kalhor R, Kamal VK, Kandel H, Karaye IM, Karch A, Karimi H, Kaur H, Kaur N, Keykhaei M, Khajuria H, Khalaji A, Khan A, Khan IA, Khan M, Khan T, Khatab K, Khatatbeh MM, Khayat Kashani HR, Khubchandani J, Kim MS, Kisa A, Kisa S, Kompani F, Koohestani HR, Kothari N, Krishan K, Krishnamoorthy Y, Kulimbet M, Kumar M, Kumaran SD, Kuttikkattu A, Kwarteng A, Laksono T, Landires I, Laryea DO, Lawal BK, Le TTT, Ledda C, Lee SW, Lee S, Lema GK, Levi M, Lim SS, Liu X, Lopes G, Lutzky Saute R, Machado Teixeira PH, Mahmoodpoor A, Mahmoud MA, Malakan Rad E, Malhotra K, Malik AA, Martinez-Guerra BA, Martorell M, Mathur V, Mayeli M, Medina JRC, Melese A, Memish ZA, Mentis AFA, Merza MA, Mestrovic T, Michalek IM, Minh LHN, Mirahmadi A, Mirmosayyeb O, Misganaw A, Misra AK, Moghadasi J, Mohamed NS, Mohammad Y, Mohammadi E, Mohammed S, Mojarrad Sani M, Mojiri-forushani H, Mokdad AH, Momtazmanesh S, Monasta L, Moni MA, Mossialos E, Mostafavi E, Motaghinejad M, Mousavi Khaneghah A, Mubarik S, Muccioli L, Muhammad JS, Mulita F, Mulugeta T, Murillo-Zamora E, Mustafa G, Muthupandian S, Nagarajan AJ, Nainu F, Nair TS, Nargus S, Nassereldine H, Natto ZS, Nayak BP, Negoi I, Negoi RI, Nejadghaderi SA, Nguyen HQ, Nguyen PT, Nguyen VT, Niazi RK, Noroozi N, Nouraei H, Nuñez-Samudio V, Nuruzzaman KM, Nwatah VE, Nzoputam CI, Nzoputam OJ, Oancea B, Obaidur RM, Odetokun IA, Ogunsakin RE, Okonji OC, Olagunju AT, Olana LT, Olufadewa II, Oluwafemi YD, Oumer KS, Ouyahia A, P A M, Pakshir K, Palange PN, Pardhan S, Parikh RR, Patel J, Patel UK, Patil S, Paudel U, Pawar S, Pensato U, Perdigão J, Pereira M, Peres MFP, Petcu IR, Pinheiro M, Piracha ZZ, Pokhrel N, Postma MJ, Prates EJS, Qattea I, Raghav PR, Rahbarnia L, Rahimi-Movaghar V, Rahman M, Rahman MA, Rahmanian V, Rahnavard N, Ramadan H, Ramasubramani P, Rani U, Rao IR, Rapaka D, Ratan ZA, Rawaf S, Redwan EMM, Reiner Jr RC, Rezaei N, Riad A, Ribeiro da Silva TM, Roberts T, Robles Aguilar G, Rodriguez JAB, Rosenthal VD, Saddik B, Sadeghian S, Saeed U, Safary A, Saheb Sharif-Askari F, Saheb Sharif-Askari N, Sahebkar A, Sahu M, Sajedi SA, Saki M, Salahi S, Salahi S, Saleh MA, Sallam M, Samadzadeh S, Samy AM, Sanjeev RK, Satpathy M, Seylani A, Sha'aban A, Shafie M, Shah PA, Shahrokhi S, Shahzamani K, Shaikh MA, Sham S, Shannawaz M, Sheikh A, Shenoy SM, Shetty PH, Shin JI, Shokri F, Shorofi SA, Shrestha S, Sibhat MM, Siddig EE, Silva LMLR, Singh H, Singh JA, Singh P, Singh S, Sinto R, Skryabina AA, Socea B, Sokhan A, Solanki R, Solomon Y, Sood P, Soshnikov S, Stergachis A, Sufiyan MB, Suliankatchi Abdulkader R, Sultana A, T Y SS, Taheri E, Taki E, Tamuzi JJLL, Tan KK, Tat NY, Temsah MH, Terefa DR, Thangaraju P, Tibebu NS, Ticoalu JHV, Tillawi T, Tincho MB, Tleyjeh II, Toghroli R, Tovani-Palone MR, Tufa DG, Turner P, Ullah I, Umeokonkwo CD, Unnikrishnan B, Vahabi SM, Vaithinathan AG, Valizadeh R, Varthya SB, Vos T, Waheed Y, Walde MT, Wang C, Weerakoon KG, Wickramasinghe ND, Winkler AS, Woldemariam M, Worku NA, Wright C, Yada DY, Yaghoubi S, Yahya GATY, Yenew CYY, Yesiltepe M, Yi S, Yiğit V, You Y, Yusuf H, Zakham F, Zaman M, Zaman SB, Zare I, Zareshahrabadi Z, Zarrintan A, Zastrozhin MS, Zhang H, Zhang J, Zhang ZJ, Zheng P, Zoladl M, Zumla A, Hay SI, Murray CJL, Naghavi M, Kyu HH. Global, regional, and national burden of meningitis and its aetiologies, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol 2023; 22:685-711. [PMID: 37479374 PMCID: PMC10356620 DOI: 10.1016/s1474-4422(23)00195-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/28/2023] [Accepted: 05/05/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND Although meningitis is largely preventable, it still causes hundreds of thousands of deaths globally each year. WHO set ambitious goals to reduce meningitis cases by 2030, and assessing trends in the global meningitis burden can help track progress and identify gaps in achieving these goals. Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we aimed to assess incident cases and deaths due to acute infectious meningitis by aetiology and age from 1990 to 2019, for 204 countries and territories. METHODS We modelled meningitis mortality using vital registration, verbal autopsy, sample-based vital registration, and mortality surveillance data. Meningitis morbidity was modelled with a Bayesian compartmental model, using data from the published literature identified by a systematic review, as well as surveillance data, inpatient hospital admissions, health insurance claims, and cause-specific meningitis mortality estimates. For aetiology estimation, data from multiple causes of death, vital registration, hospital discharge, microbial laboratory, and literature studies were analysed by use of a network analysis model to estimate the proportion of meningitis deaths and cases attributable to the following aetiologies: Neisseria meningitidis, Streptococcus pneumoniae, Haemophilus influenzae, group B Streptococcus, Escherichia coli, Klebsiella pneumoniae, Listeria monocytogenes, Staphylococcus aureus, viruses, and a residual other pathogen category. FINDINGS In 2019, there were an estimated 236 000 deaths (95% uncertainty interval [UI] 204 000-277 000) and 2·51 million (2·11-2·99) incident cases due to meningitis globally. The burden was greatest in children younger than 5 years, with 112 000 deaths (87 400-145 000) and 1·28 million incident cases (0·947-1·71) in 2019. Age-standardised mortality rates decreased from 7·5 (6·6-8·4) per 100 000 population in 1990 to 3·3 (2·8-3·9) per 100 000 population in 2019. The highest proportion of total all-age meningitis deaths in 2019 was attributable to S pneumoniae (18·1% [17·1-19·2]), followed by N meningitidis (13·6% [12·7-14·4]) and K pneumoniae (12·2% [10·2-14·3]). Between 1990 and 2019, H influenzae showed the largest reduction in the number of deaths among children younger than 5 years (76·5% [69·5-81·8]), followed by N meningitidis (72·3% [64·4-78·5]) and viruses (58·2% [47·1-67·3]). INTERPRETATION Substantial progress has been made in reducing meningitis mortality over the past three decades. However, more meningitis-related deaths might be prevented by quickly scaling up immunisation and expanding access to health services. Further reduction in the global meningitis burden should be possible through low-cost multivalent vaccines, increased access to accurate and rapid diagnostic assays, enhanced surveillance, and early treatment. FUNDING Bill & Melinda Gates Foundation.
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Capaci V, Arrigoni G, Monasta L, Aloisio M, Rocca G, Di Lorenzo G, Licastro D, Romano F, Ricci G, Ura B. Phospho-DIGE Identified Phosphoproteins Involved in Pathways Related to Tumour Growth in Endometrial Cancer. Int J Mol Sci 2023; 24:11987. [PMID: 37569364 PMCID: PMC10419128 DOI: 10.3390/ijms241511987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 07/21/2023] [Accepted: 07/24/2023] [Indexed: 08/13/2023] Open
Abstract
Endometrial cancer (EC) is the most common gynecologic malignancy of the endometrium. This study focuses on EC and normal endometrium phosphoproteome to identify differentially phosphorylated proteins involved in tumorigenic signalling pathways which induce cancer growth. We obtained tissue samples from 8 types I EC at tumour stage 1 and 8 normal endometria. We analyzed the phosphoproteome by two-dimensional differential gel electrophoresis (2D-DIGE), combined with immobilized metal affinity chromatography (IMAC) and mass spectrometry for protein and phosphopeptide identification. Quantities of 34 phosphoproteins enriched by the IMAC approach were significantly different in the EC compared to the endometrium. Validation using Western blotting analysis on 13 patients with type I EC at tumour stage 1 and 13 endometria samples confirmed the altered abundance of HBB, CKB, LDHB, and HSPB1. Three EC samples were used for in-depth identification of phosphoproteins by LC-MS/MS analysis. Bioinformatic analysis revealed several tumorigenic signalling pathways. Our study highlights the involvement of the phosphoproteome in EC tumour growth. Further studies are needed to understand the role of phosphorylation in EC. Our data shed light on mechanisms that still need to be ascertained but could open the path to a new class of drugs that could hinder EC growth.
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Affiliation(s)
- Valeria Capaci
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (G.D.L.); (F.R.); (G.R.); (B.U.)
| | - Giorgio Arrigoni
- Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy; (G.A.); (G.R.)
- Proteomics Center, University of Padova and Azienda Ospedaliera di Padova, 35131 Padova, Italy
- CRIBI Biotechnology Center, University of Padova, 35131 Padova, Italy
| | - Lorenzo Monasta
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (G.D.L.); (F.R.); (G.R.); (B.U.)
| | - Michelangelo Aloisio
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (G.D.L.); (F.R.); (G.R.); (B.U.)
| | - Giulia Rocca
- Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy; (G.A.); (G.R.)
- Proteomics Center, University of Padova and Azienda Ospedaliera di Padova, 35131 Padova, Italy
| | - Giovanni Di Lorenzo
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (G.D.L.); (F.R.); (G.R.); (B.U.)
| | | | - Federico Romano
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (G.D.L.); (F.R.); (G.R.); (B.U.)
| | - Giuseppe Ricci
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (G.D.L.); (F.R.); (G.R.); (B.U.)
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34129 Trieste, Italy
| | - Blendi Ura
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (G.D.L.); (F.R.); (G.R.); (B.U.)
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Ong KL, Stafford LK, McLaughlin SA, Boyko EJ, Vollset SE, Smith AE, Dalton BE, Duprey J, Cruz JA, Hagins H, Lindstedt PA, Aali A, Abate YH, Abate MD, Abbasian M, Abbasi-Kangevari Z, Abbasi-Kangevari M, Abd ElHafeez S, Abd-Rabu R, Abdulah DM, Abdullah AYM, Abedi V, Abidi H, Aboagye RG, Abolhassani H, Abu-Gharbieh E, Abu-Zaid A, Adane TD, Adane DE, Addo IY, Adegboye OA, Adekanmbi V, Adepoju AV, Adnani QES, Afolabi RF, Agarwal G, Aghdam ZB, Agudelo-Botero M, Aguilera Arriagada CE, Agyemang-Duah W, Ahinkorah BO, Ahmad D, Ahmad R, Ahmad S, Ahmad A, Ahmadi A, Ahmadi K, Ahmed A, Ahmed A, Ahmed LA, Ahmed SA, Ajami M, Akinyemi RO, Al Hamad H, Al Hasan SM, AL-Ahdal TMA, Alalwan TA, Al-Aly Z, AlBataineh MT, Alcalde-Rabanal JE, Alemi S, Ali H, Alinia T, Aljunid SM, Almustanyir S, Al-Raddadi RM, Alvis-Guzman N, Amare F, Ameyaw EK, Amiri S, Amusa GA, Andrei CL, Anjana RM, Ansar A, Ansari G, Ansari-Moghaddam A, Anyasodor AE, Arabloo J, Aravkin AY, Areda D, Arifin H, Arkew M, Armocida B, Ärnlöv J, Artamonov AA, Arulappan J, Aruleba RT, Arumugam A, Aryan Z, Asemu MT, Asghari-Jafarabadi M, Askari E, Asmelash D, Astell-Burt T, Athar M, Athari SS, Atout MMW, Avila-Burgos L, Awaisu A, Azadnajafabad S, B DB, Babamohamadi H, Badar M, Badawi A, Badiye AD, Baghcheghi N, Bagheri N, Bagherieh S, Bah S, Bahadory S, Bai R, Baig AA, Baltatu OC, Baradaran HR, Barchitta M, Bardhan M, Barengo NC, Bärnighausen TW, Barone MTU, Barone-Adesi F, Barrow A, Bashiri H, Basiru A, Basu S, Basu S, Batiha AMM, Batra K, Bayih MT, Bayileyegn NS, Behnoush AH, Bekele AB, Belete MA, Belgaumi UI, Belo L, Bennett DA, Bensenor IM, Berhe K, Berhie AY, Bhaskar S, Bhat AN, Bhatti JS, Bikbov B, Bilal F, Bintoro BS, Bitaraf S, Bitra VR, Bjegovic-Mikanovic V, Bodolica V, Boloor A, Brauer M, Brazo-Sayavera J, Brenner H, Butt ZA, Calina D, Campos LA, Campos-Nonato IR, Cao Y, Cao C, Car J, Carvalho M, Castañeda-Orjuela CA, Catalá-López F, Cerin E, Chadwick J, Chandrasekar EK, Chanie GS, Charan J, Chattu VK, Chauhan K, Cheema HA, Chekol Abebe E, Chen S, Cherbuin N, Chichagi F, Chidambaram SB, Cho WCS, Choudhari SG, Chowdhury R, Chowdhury EK, Chu DT, Chukwu IS, Chung SC, Coberly K, Columbus A, Contreras D, Cousin E, Criqui MH, Cruz-Martins N, Cuschieri S, Dabo B, Dadras O, Dai X, Damasceno AAM, Dandona R, Dandona L, Das S, Dascalu AM, Dash NR, Dashti M, Dávila-Cervantes CA, De la Cruz-Góngora V, Debele GR, Delpasand K, Demisse FW, Demissie GD, Deng X, Denova-Gutiérrez E, Deo SV, Dervišević E, Desai HD, Desale AT, Dessie AM, Desta F, Dewan SMR, Dey S, Dhama K, Dhimal M, Diao N, Diaz D, Dinu M, Diress M, Djalalinia S, Doan LP, Dongarwar D, dos Santos Figueiredo FW, Duncan BB, Dutta S, Dziedzic AM, Edinur HA, Ekholuenetale M, Ekundayo TC, Elgendy IY, Elhadi M, El-Huneidi W, Elmeligy OAA, Elmonem MA, Endeshaw D, Esayas HL, Eshetu HB, Etaee F, Fadhil I, Fagbamigbe AF, Fahim A, Falahi S, Faris MEM, Farrokhpour H, Farzadfar F, Fatehizadeh A, Fazli G, Feng X, Ferede TY, Fischer F, Flood D, Forouhari A, Foroumadi R, Foroutan Koudehi M, Gaidhane AM, Gaihre S, Gaipov A, Galali Y, Ganesan B, Garcia-Gordillo MA, Gautam RK, Gebrehiwot M, Gebrekidan KG, Gebremeskel TG, Getacher L, Ghadirian F, Ghamari SH, Ghasemi Nour M, Ghassemi F, Golechha M, Goleij P, Golinelli D, Gopalani SV, Guadie HA, Guan SY, Gudayu TW, Guimarães RA, Guled RA, Gupta R, Gupta K, Gupta VB, Gupta VK, Gyawali B, Haddadi R, Hadi NR, Haile TG, Hajibeygi R, Haj-Mirzaian A, Halwani R, Hamidi S, Hankey GJ, Hannan MA, Haque S, Harandi H, Harlianto NI, Hasan SMM, Hasan SS, Hasani H, Hassanipour S, Hassen MB, Haubold J, Hayat K, Heidari G, Heidari M, Hessami K, Hiraike Y, Holla R, Hossain S, Hossain MS, Hosseini MS, Hosseinzadeh M, Hosseinzadeh H, Huang J, Huda MN, Hussain S, Huynh HH, Hwang BF, Ibitoye SE, Ikeda N, Ilic IM, Ilic MD, Inbaraj LR, Iqbal A, Islam SMS, Islam RM, Ismail NE, Iso H, Isola G, Itumalla R, Iwagami M, Iwu CCD, Iyamu IO, Iyasu AN, Jacob L, Jafarzadeh A, Jahrami H, Jain R, Jaja C, Jamalpoor Z, Jamshidi E, Janakiraman B, Jayanna K, Jayapal SK, Jayaram S, Jayawardena R, Jebai R, Jeong W, Jin Y, Jokar M, Jonas JB, Joseph N, Joseph A, Joshua CE, Joukar F, Jozwiak JJ, Kaambwa B, Kabir A, Kabthymer RH, Kadashetti V, Kahe F, Kalhor R, Kandel H, Karanth SD, Karaye IM, Karkhah S, Katoto PDMC, Kaur N, Kazemian S, Kebede SA, Khader YS, Khajuria H, Khalaji A, Khan MAB, Khan M, Khan A, Khanal S, Khatatbeh MM, Khater AM, Khateri S, khorashadizadeh F, Khubchandani J, Kibret BG, Kim MS, Kimokoti RW, Kisa A, Kivimäki M, Kolahi AA, Komaki S, Kompani F, Koohestani HR, Korzh O, Kostev K, Kothari N, Koyanagi A, Krishan K, Krishnamoorthy Y, Kuate Defo B, Kuddus M, Kuddus MA, Kumar R, Kumar H, Kundu S, Kurniasari MD, Kuttikkattu A, La Vecchia C, Lallukka T, Larijani B, Larsson AO, Latief K, Lawal BK, Le TTT, Le TTB, Lee SWH, Lee M, Lee WC, Lee PH, Lee SW, Lee SW, Legesse SM, Lenzi J, Li Y, Li MC, Lim SS, Lim LL, Liu X, Liu C, Lo CH, Lopes G, Lorkowski S, Lozano R, Lucchetti G, Maghazachi AA, Mahasha PW, Mahjoub S, Mahmoud MA, Mahmoudi R, Mahmoudimanesh M, Mai AT, Majeed A, Majma Sanaye P, Makris KC, Malhotra K, Malik AA, Malik I, Mallhi TH, Malta DC, Mamun AA, Mansouri B, Marateb HR, Mardi P, Martini S, Martorell M, Marzo RR, Masoudi R, Masoudi S, Mathews E, Maugeri A, Mazzaglia G, Mekonnen T, Meshkat M, Mestrovic T, Miao Jonasson J, Miazgowski T, Michalek IM, Minh LHN, Mini GK, Miranda JJ, Mirfakhraie R, Mirrakhimov EM, Mirza-Aghazadeh-Attari M, Misganaw A, Misgina KH, Mishra M, Moazen B, Mohamed NS, Mohammadi E, Mohammadi M, Mohammadian-Hafshejani A, Mohammadshahi M, Mohseni A, Mojiri-forushani H, Mokdad AH, Momtazmanesh S, Monasta L, Moniruzzaman M, Mons U, Montazeri F, Moodi Ghalibaf A, Moradi Y, Moradi M, Moradi Sarabi M, Morovatdar N, Morrison SD, Morze J, Mossialos E, Mostafavi E, Mueller UO, Mulita F, Mulita A, Murillo-Zamora E, Musa KI, Mwita JC, Nagaraju SP, Naghavi M, Nainu F, Nair TS, Najmuldeen HHR, Nangia V, Nargus S, Naser AY, Nassereldine H, Natto ZS, Nauman J, Nayak BP, Ndejjo R, Negash H, Negoi RI, Nguyen HTH, Nguyen DH, Nguyen PT, Nguyen VT, Nguyen HQ, Niazi RK, Nigatu YT, Ningrum DNA, Nizam MA, Nnyanzi LA, Noreen M, Noubiap JJ, Nzoputam OJ, Nzoputam CI, Oancea B, Odogwu NM, Odukoya OO, Ojha VA, Okati-Aliabad H, Okekunle AP, Okonji OC, Okwute PG, Olufadewa II, Onwujekwe OE, Ordak M, Ortiz A, Osuagwu UL, Oulhaj A, Owolabi MO, Padron-Monedero A, Padubidri JR, Palladino R, Panagiotakos D, Panda-Jonas S, Pandey A, Pandey A, Pandi-Perumal SR, Pantea Stoian AM, Pardhan S, Parekh T, Parekh U, Pasovic M, Patel J, Patel JR, Paudel U, Pepito VCF, Pereira M, Perico N, Perna S, Petcu IR, Petermann-Rocha FE, Podder V, Postma MJ, Pourali G, Pourtaheri N, Prates EJS, Qadir MMF, Qattea I, Raee P, Rafique I, Rahimi M, Rahimifard M, Rahimi-Movaghar V, Rahman MO, Rahman MA, Rahman MHU, Rahman M, Rahman MM, Rahmani M, Rahmani S, Rahmanian V, Rahmawaty S, Rahnavard N, Rajbhandari B, Ram P, Ramazanu S, Rana J, Rancic N, Ranjha MMAN, Rao CR, Rapaka D, Rasali DP, Rashedi S, Rashedi V, Rashid AM, Rashidi MM, Ratan ZA, Rawaf S, Rawal L, Redwan EMM, Remuzzi G, Rengasamy KRR, Renzaho AMN, Reyes LF, Rezaei N, Rezaei N, Rezaeian M, Rezazadeh H, Riahi SM, Rias YA, Riaz M, Ribeiro D, Rodrigues M, Rodriguez JAB, Roever L, Rohloff P, Roshandel G, Roustazadeh A, Rwegerera GM, Saad AMA, Saber-Ayad MM, Sabour S, Sabzmakan L, Saddik B, Sadeghi E, Saeed U, Saeedi Moghaddam S, Safi S, Safi SZ, Saghazadeh A, Saheb Sharif-Askari N, Saheb Sharif-Askari F, Sahebkar A, Sahoo SS, Sahoo H, Saif-Ur-Rahman KM, Sajid MR, Salahi S, Salahi S, Saleh MA, Salehi MA, Salomon JA, Sanabria J, Sanjeev RK, Sanmarchi F, Santric-Milicevic MM, Sarasmita MA, Sargazi S, Sathian B, Sathish T, Sawhney M, Schlaich MP, Schmidt MI, Schuermans A, Seidu AA, Senthil Kumar N, Sepanlou SG, Sethi Y, Seylani A, Shabany M, Shafaghat T, Shafeghat M, Shafie M, Shah NS, Shahid S, Shaikh MA, Shanawaz M, Shannawaz M, Sharfaei S, Shashamo BB, Shiri R, Shittu A, Shivakumar KM, Shivalli S, Shobeiri P, Shokri F, Shuval K, Sibhat MM, Silva LMLR, Simpson CR, Singh JA, Singh P, Singh S, Siraj MS, Skryabina AA, Sohag AAM, Soleimani H, Solikhah S, Soltani-Zangbar MS, Somayaji R, Sorensen RJD, Starodubova AV, Sujata S, Suleman M, Sun J, Sundström J, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabaeizadeh SA, Tabish M, Taheri M, Taheri E, Taki E, Tamuzi JJLL, Tan KK, Tat NY, Taye BT, Temesgen WA, Temsah MH, Tesler R, Thangaraju P, Thankappan KR, Thapa R, Tharwat S, Thomas N, Ticoalu JHV, Tiyuri A, Tonelli M, Tovani-Palone MR, Trico D, Trihandini I, Tripathy JP, Tromans SJ, Tsegay GM, Tualeka AR, Tufa DG, Tyrovolas S, Ullah S, Upadhyay E, Vahabi SM, Vaithinathan AG, Valizadeh R, van Daalen KR, Vart P, Varthya SB, Vasankari TJ, Vaziri S, Verma MV, Verras GI, Vo DC, Wagaye B, Waheed Y, Wang Z, Wang Y, Wang C, Wang F, Wassie GT, Wei MYW, Weldemariam AH, Westerman R, Wickramasinghe ND, Wu Y, Wulandari RDWI, Xia J, Xiao H, Xu S, Xu X, Yada DY, Yang L, Yatsuya H, Yesiltepe M, Yi S, Yohannis HK, Yonemoto N, You Y, Zaman SB, Zamora N, Zare I, Zarea K, Zarrintan A, Zastrozhin MS, Zeru NG, Zhang ZJ, Zhong C, Zhou J, Zielińska M, Zikarg YT, Zodpey S, Zoladl M, Zou Z, Zumla A, Zuniga YMH, Magliano DJ, Murray CJL, Hay SI, Vos T. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2023; 402:203-234. [PMID: 37356446 PMCID: PMC10364581 DOI: 10.1016/s0140-6736(23)01301-6] [Citation(s) in RCA: 250] [Impact Index Per Article: 250.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
BACKGROUND Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. METHODS Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. FINDINGS In 2021, there were 529 million (95% uncertainty interval [UI] 500-564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8-6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7-9·9]) and, at the regional level, in Oceania (12·3% [11·5-13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1-79·5) in individuals aged 75-79 years. Total diabetes prevalence-especially among older adults-primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1-96·8) of diabetes cases and 95·4% (94·9-95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5-71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5-30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22-1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1-17·6) in north Africa and the Middle East and 11·3% (10·8-11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. INTERPRETATION Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disease course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers. FUNDING Bill & Melinda Gates Foundation.
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Thomson AM, McHugh TA, Oron AP, Teply C, Lonberg N, Vilchis Tella V, Wilner LB, Fuller K, Hagins H, Aboagye RG, Aboye MB, Abu-Gharbieh E, Abu-Zaid A, Addo IY, Ahinkorah BO, Ahmad A, AlRyalat SAS, Amu H, Aravkin AY, Arulappan J, Atout MMW, Badiye AD, Bagherieh S, Banach M, Banakar M, Bardhan M, Barrow A, Bedane DA, Bensenor IM, Bhagavathula AS, Bhardwaj P, Bhardwaj PV, Bhat AN, Bhutta ZA, Bilalaga MM, Bishai JD, Bitaraf S, Boloor A, Butt MH, Chattu VK, Chu DT, Dadras O, Dai X, Danaei B, Dang AK, Demisse FW, Dhimal M, Diaz D, Djalalinia S, Dongarwar D, Elhadi M, Elmonem MA, Esezobor CI, Etaee F, Eyawo O, Fagbamigbe AF, Fatehizadeh A, Force LM, Gardner WM, Ghaffari K, Gill PS, Golechha M, Goleij P, Gupta VK, Hasani H, Hassan TS, Hassen MB, Ibitoye SE, Ikiroma AI, Iwu CCD, James PB, Jayaram S, Jebai R, Jha RP, Joseph N, Kalantar F, Kandel H, Karaye IM, Kassahun WD, Khan IA, Khanmohammadi S, Kisa A, Kompani F, Krishan K, Landires I, Lim SS, Mahajan PB, Mahjoub S, Majeed A, Marasini BP, Meresa HA, Mestrovic T, Minhas S, Misganaw A, Mokdad AH, Monasta L, Mustafa G, Nair TS, Narasimha Swamy S, Nassereldine H, Natto ZS, Naveed M, Nayak BP, Noubiap JJ, Noyes T, Nri-ezedi CA, Nwatah VE, Nzoputam CI, Nzoputam OJ, Okonji OC, Onikan AO, Owolabi MO, Patel J, Pati S, Pawar S, Petcu IR, Piel FB, Qattea I, Rahimi M, Rahman M, Rawaf S, Redwan EMM, Rezaei N, Saddik B, Saeed U, Saheb Sharif-Askari F, Samy AM, Schumacher AE, Shaker E, Shetty A, Sibhat MM, Singh JA, Suleman M, Sunuwar DR, Szeto MD, Tamuzi JJLL, Tat NY, Taye BT, Temsah MH, Umair M, Valadan Tahbaz S, Wang C, Wickramasinghe ND, Yigit A, Yiğit V, Yunusa I, Zaman BA, Zangiabadian M, Zheng P, Hay SI, Naghavi M, Murray CJL, Kassebaum NJ. Global, regional, and national prevalence and mortality burden of sickle cell disease, 2000-2021: a systematic analysis from the Global Burden of Disease Study 2021. Lancet Haematol 2023:S2352-3026(23)00118-7. [PMID: 37331373 PMCID: PMC10390339 DOI: 10.1016/s2352-3026(23)00118-7] [Citation(s) in RCA: 46] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 05/01/2023] [Accepted: 05/03/2023] [Indexed: 06/20/2023]
Abstract
BACKGROUND Previous global analyses, with known underdiagnosis and single cause per death attribution systems, provide only a small insight into the suspected high population health effect of sickle cell disease. Completed as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, this study delivers a comprehensive global assessment of prevalence of sickle cell disease and mortality burden by age and sex for 204 countries and territories from 2000 to 2021. METHODS We estimated cause-specific sickle cell disease mortality using standardised GBD approaches, in which each death is assigned to a single underlying cause, to estimate mortality rates from the International Classification of Diseases (ICD)-coded vital registration, surveillance, and verbal autopsy data. In parallel, our goal was to estimate a more accurate account of sickle cell disease health burden using four types of epidemiological data on sickle cell disease: birth incidence, age-specific prevalence, with-condition mortality (total deaths), and excess mortality (excess deaths). Systematic reviews, supplemented with ICD-coded hospital discharge and insurance claims data, informed this modelling approach. We employed DisMod-MR 2.1 to triangulate between these measures-borrowing strength from predictive covariates and across age, time, and geography-and generated internally consistent estimates of incidence, prevalence, and mortality for three distinct genotypes of sickle cell disease: homozygous sickle cell disease and severe sickle cell β-thalassaemia, sickle-haemoglobin C disease, and mild sickle cell β-thalassaemia. Summing the three models yielded final estimates of incidence at birth, prevalence by age and sex, and total sickle cell disease mortality, the latter of which was compared directly against cause-specific mortality estimates to evaluate differences in mortality burden assessment and implications for the Sustainable Development Goals (SDGs). FINDINGS Between 2000 and 2021, national incidence rates of sickle cell disease were relatively stable, but total births of babies with sickle cell disease increased globally by 13·7% (95% uncertainty interval 11·1-16·5), to 515 000 (425 000-614 000), primarily due to population growth in the Caribbean and western and central sub-Saharan Africa. The number of people living with sickle cell disease globally increased by 41·4% (38·3-44·9), from 5·46 million (4·62-6·45) in 2000 to 7·74 million (6·51-9·2) in 2021. We estimated 34 400 (25 000-45 200) cause-specific all-age deaths globally in 2021, but total sickle cell disease mortality burden was nearly 11-times higher at 376 000 (303 000-467 000). In children younger than 5 years, there were 81 100 (58 800-108 000) deaths, ranking total sickle cell disease mortality as 12th (compared to 40th for cause-specific sickle cell disease mortality) across all causes estimated by the GBD in 2021. INTERPRETATION Our findings show a strikingly high contribution of sickle cell disease to all-cause mortality that is not apparent when each death is assigned to only a single cause. Sickle cell disease mortality burden is highest in children, especially in countries with the greatest under-5 mortality rates. Without comprehensive strategies to address morbidity and mortality associated with sickle cell disease, attainment of SDG 3.1, 3.2, and 3.4 is uncertain. Widespread data gaps and correspondingly high uncertainty in the estimates highlight the urgent need for routine and sustained surveillance efforts, further research to assess the contribution of conditions associated with sickle cell disease, and widespread deployment of evidence-based prevention and treatment for those with sickle cell disease. FUNDING Bill & Melinda Gates Foundation.
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Conti S, Fornari C, Ferrara P, Antonazzo IC, Madotto F, Traini E, Levi M, Cernigliaro A, Armocida B, Bragazzi NL, Cadum E, Carugno M, Crotti G, Deandrea S, Cortesi PA, Guido D, Iavicoli I, Iavicoli S, La Vecchia C, Lauriola P, Michelozzi P, Scondotto S, Stafoggia M, Violante FS, Abbafati C, Albano L, Barone-Adesi F, Biondi A, Bosetti C, Buonsenso D, Carreras G, Castelpietra G, Catapano A, Cattaruzza MS, Corso B, Damiani G, Esposito F, Gallus S, Golinelli D, Hay SI, Isola G, Ledda C, Mondello S, Pedersini P, Pensato U, Perico N, Remuzzi G, Sanmarchi F, Santoro R, Simonetti B, Unim B, Vacante M, Veroux M, Villafañe JH, Monasta L, Mantovani LG. Time-Trends in Air Pollution Impact on Health in Italy, 1990-2019: An Analysis From the Global Burden of Disease Study 2019. Int J Public Health 2023; 68:1605959. [PMID: 37347013 PMCID: PMC10280378 DOI: 10.3389/ijph.2023.1605959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 05/17/2023] [Indexed: 06/23/2023] Open
Abstract
Objectives: We explored temporal variations in disease burden of ambient particulate matter 2.5 μm or less in diameter (PM2.5) and ozone in Italy using estimates from the Global Burden of Disease Study 2019. Methods: We compared temporal changes and percent variations (95% Uncertainty Intervals [95% UI]) in rates of disability adjusted life years (DALYs), years of life lost, years lived with disability and mortality from 1990 to 2019, and variations in pollutant-attributable burden with those in the overall burden of each PM2.5- and ozone-related disease. Results: In 2019, 467,000 DALYs (95% UI: 371,000, 570,000) were attributable to PM2.5 and 39,600 (95% UI: 18,300, 61,500) to ozone. The crude DALY rate attributable to PM2.5 decreased by 47.9% (95% UI: 10.3, 65.4) from 1990 to 2019. For ozone, it declined by 37.0% (95% UI: 28.9, 44.5) during 1990-2010, but it increased by 44.8% (95% UI: 35.5, 56.3) during 2010-2019. Age-standardized rates declined more than crude ones. Conclusion: In Italy, the burden of ambient PM2.5 (but not of ozone) significantly decreased, even in concurrence with population ageing. Results suggest a positive impact of air quality regulations, fostering further regulatory efforts.
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Affiliation(s)
- Sara Conti
- Research Center on Public Health, University of Milan Bicocca, Monza, Italy
| | - Carla Fornari
- Research Center on Public Health, University of Milan Bicocca, Monza, Italy
| | - Pietro Ferrara
- Research Center on Public Health, University of Milan Bicocca, Monza, Italy
- Laboratory of Public Health, Auxologico Research Hospital—IRCCS, Milan, Italy
| | | | - Fabiana Madotto
- Dipartimento di Anestesia, Rianimazione ed Emergenza Urgenza, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Eugenio Traini
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, Netherlands
| | - Miriam Levi
- Epidemiology Unit, Department of Prevention, Central Tuscany Local Health Authority, Florence, Italy
| | - Achille Cernigliaro
- Health Activities and Epidemiological Observatory Department, Health Authority Sicily Region, Parlemo, Italy
- Clinical Pathology Complex Hospital Unit, Health Authority Trapani Province, Trapani, Italy
| | - Benedetta Armocida
- Department of Cardiovascular, Endocrine-Metabolic Disease and Aging, National Institute of Health (ISS), Rome, Italy
| | - Nicola L. Bragazzi
- Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, Faculty of Science, York University, Toronto, ON, Canada
| | - Ennio Cadum
- Department of Hygiene and Health Prevention and Complex Operative Unit Environmental Health and Innovative Projects, Health Protection Agency, Pavia, Italy
| | - Michele Carugno
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Epidemiology Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giacomo Crotti
- Servizio Epidemiologico Aziendale, Agenzia di Tutela della Salute di Bergamo, Bergamo, Italy
| | - Silvia Deandrea
- Department of Hygiene and Health Prevention and Complex Operative Unit Environmental Health and Innovative Projects, Health Protection Agency, Pavia, Italy
| | - Paolo A. Cortesi
- Research Center on Public Health, University of Milan Bicocca, Monza, Italy
| | - Davide Guido
- Neurology, Public Health and Disability Unit, Carlo Besta Neurological Institute, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Ivo Iavicoli
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Sergio Iavicoli
- Department of Occupational and Environmental Medicine Epidemiology and Hygiene, Italian National Workers Compensation Authority (IIL), Monteporzio Catone, Italy
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Paolo Lauriola
- International Society Doctors for the Environment, Milan, Italy
| | - Paola Michelozzi
- Department of Epidemiology, Lazio Region Health Authority (ASL RM1), Rome, Italy
| | - Salvatore Scondotto
- Health Activities and Epidemiological Observatory Department, Health Authority Sicily Region, Parlemo, Italy
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Region Health Authority (ASL RM1), Rome, Italy
| | - Francesco S. Violante
- Occupational Health Unit, Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Cristiana Abbafati
- Department of Juridical and Economic Studies, Faculty of Law, Sapienza University of Rome, Rome, Italy
| | - Luciana Albano
- Department of Experimental Medicine, University of Campania Luigi Vanvitelli, Naples, Italy
| | | | - Antonio Biondi
- Department of General Surgery and Medical-Surgical Specialties, University of Catania, Catania, Italy
| | - Cristina Bosetti
- Department of Oncology, Mario Negri Pharmacological Research Institute (IRCCS), Milano, Italy
| | - Danilo Buonsenso
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS (Agostino Gemelli University Polyclinic IRCCS), Rome, Italy
- Global Health Research Institute, Università Cattolica del Sacro Cuore (Catholic University of Sacred Heart), Rome, Italy
| | - Giulia Carreras
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Giulio Castelpietra
- Department of Medicine, University of Udine, Udine, Italy
- Department of Mental Health, Healthcare Agency “Friuli Occidentale”, Pordenone, Italy
| | - Alberico Catapano
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
- MultiMedica, IRCCS, Sesto San Giovanni, Italy
| | - Maria S. Cattaruzza
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy
| | - Barbara Corso
- Institute of Neuroscience, National Research Council (CNR), Pisa, Italy
| | - Giovanni Damiani
- IRCCS Istituto Ortopedico Galeazzi (Galeazzi Orthopedic Institute IRCCS), University of Milan, Milan, Italy
- Department of Dermatology, Case Western Reserve University, Cleveland, OH, United States
| | - Francesco Esposito
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Silvano Gallus
- Department of Environmental Health Sciences, Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Davide Golinelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Simon I. Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, United States
| | - Gaetano Isola
- Department of General Surgery and Medical-Surgical Specialties, University of Catania, Catania, Italy
| | - Caterina Ledda
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Stefania Mondello
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Messina University, Messina, Italy
| | - Paolo Pedersini
- Clinical Research Department, IRCCS Fondazione Don Carlo Gnocchi, Milan, Italy
| | - Umberto Pensato
- Department of Neurology, IRCCS Humanitas Research Hospital, Milan, Italy
| | - Norberto Perico
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Giuseppe Remuzzi
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Francesco Sanmarchi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | | | - Biagio Simonetti
- Department of Law, Economics, Management and Quantitative Methods, University of Sannio, Benevento, Italy
- WSB University in Gdańsk, Gdańsk, Poland
| | - Brigid Unim
- Department of Cardiovascular, Endocrine-Metabolic Disease and Aging, National Institute of Health (ISS), Rome, Italy
| | - Marco Vacante
- Department of Oncology, Mario Negri Pharmacological Research Institute (IRCCS), Milano, Italy
| | - Massimiliano Veroux
- Department of Medical, Surgical Sciences and Advanced Technologies, University of Catania, Catania, Italy
| | - Jorge H. Villafañe
- Clinical Research Department, IRCCS Fondazione Don Carlo Gnocchi, Milan, Italy
| | - Lorenzo Monasta
- Clinical Epidemiology and Public Health Research Unit, Burlo Garofolo Institute for Maternal and Child Health, Trieste, Italy
| | - Lorenzo G. Mantovani
- Research Center on Public Health, University of Milan Bicocca, Monza, Italy
- Laboratory of Public Health, Auxologico Research Hospital—IRCCS, Milan, Italy
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Scalia MS, Lees C, Zamagni G, Ghi T, Bhide A, Monasta L, Ricci G, Maso G, Valensise H, Stampalija T. Use of computerized cardiotocography and Dawes-Redman criteria: results from a binational survey. Ultrasound Obstet Gynecol 2023; 61:773-775. [PMID: 37099522 DOI: 10.1002/uog.26225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 04/08/2023] [Accepted: 04/10/2023] [Indexed: 06/03/2023]
Affiliation(s)
- M S Scalia
- Department of the Mother and Neonate, Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - C Lees
- Department of Metabolism, Digestion and Reproduction, Institute of Developmental and Reproductive Biology, Imperial College London, London, UK
- Department of Fetal Medicine, Queen Charlotte's and Chelsea Hospital, Imperial College NHS Trust, London, UK
| | - G Zamagni
- Clinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, Italy
| | - T Ghi
- Obstetrics and Gynecology Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - A Bhide
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, London, UK
- Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, UK
| | - L Monasta
- Clinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, Italy
| | - G Ricci
- Department of the Mother and Neonate, Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - G Maso
- Department of the Mother and Neonate, Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, Italy
| | - H Valensise
- Division of Obstetrics and Gynaecology, Department of Surgery, Policlinico Casilino, University of Rome Tor Vergata, Rome, Italy
| | - T Stampalija
- Department of the Mother and Neonate, Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
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Barbieri M, Zamagni G, Fantasia I, Monasta L, Lo Bello L, Quadrifoglio M, Ricci G, Maso G, Piccoli M, Di Martino DD, Ferrazzi EM, Stampalija T. Umbilical Vein Blood Flow in Uncomplicated Pregnancies: Systematic Review of Available Reference Charts and Comparison with a New Cohort. J Clin Med 2023; 12:jcm12093132. [PMID: 37176573 PMCID: PMC10179232 DOI: 10.3390/jcm12093132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 04/15/2023] [Accepted: 04/18/2023] [Indexed: 05/15/2023] Open
Abstract
The objectives of the study were (1) to perform a systematic review of the available umbilical vein blood flow volume (UV-Q) reference ranges in uncomplicated pregnancies; and (2) to compare the findings of the systematic review with UV-Q values obtained from a local cohort. Available literature in the English language on this topic was identified following the PRISMA guidelines. Selected original articles were further grouped based on the UV sampling sites and the formulae used to compute UV-Q. The 50th percentiles, the means, or the best-fitting curves were derived from the formulae or the reported tables presented by authors. A prospective observational study of uncomplicated singleton pregnancies from 20+0 to 40+6 weeks of gestation was conducted to compare UV-Q with the results of this systematic review. Fifteen sets of data (fourteen sets belonging to manuscripts identified by the research strategy and one obtained from our cohort) were compared. Overall, there was a substantial heterogeneity among the reported UV-Q central values, although when using the same sampling methodology and formulae, the values overlap. Our data suggest that when adhering to the same methodology, the UV-Q assessment is accurate and reproducible, thus encouraging further investigation on the possible clinical applications of this measurement in clinical practice.
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Affiliation(s)
- Moira Barbieri
- Department of Mother and Neonate, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", 34100 Trieste, Italy
| | - Giulia Zamagni
- Clinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", 34100 Trieste, Italy
| | - Ilaria Fantasia
- Department of Mother and Neonate, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", 34100 Trieste, Italy
| | - Lorenzo Monasta
- Clinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", 34100 Trieste, Italy
| | - Leila Lo Bello
- Department of Mother and Neonate, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", 34100 Trieste, Italy
| | - Mariachiara Quadrifoglio
- Department of Mother and Neonate, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", 34100 Trieste, Italy
| | - Giuseppe Ricci
- Department of Mother and Neonate, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", 34100 Trieste, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34100 Trieste, Italy
| | - Gianpaolo Maso
- Department of Mother and Neonate, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", 34100 Trieste, Italy
| | - Monica Piccoli
- Department of Mother and Neonate, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", 34100 Trieste, Italy
| | - Daniela Denis Di Martino
- Department of Mother, Child and Neonate, Fondazione IRCCS Ca' Granda Ospedale Policlinico di Milano, 20100 Milan, Italy
| | - Enrico Mario Ferrazzi
- Department of Mother, Child and Neonate, Fondazione IRCCS Ca' Granda Ospedale Policlinico di Milano, 20100 Milan, Italy
- Department of Clinical and Community Sciences, University of Milan, 20100 Milan, Italy
| | - Tamara Stampalija
- Department of Mother and Neonate, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", 34100 Trieste, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34100 Trieste, Italy
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Iburg KM, Charalampous P, Allebeck P, Stenberg EJ, O'Caoimh R, Monasta L, Peñalvo JL, Pereira DM, Wyper GMA, Niranjan V, Devleesschauwer B, Haagsma J. Burden of disease among older adults in Europe-trends in mortality and disability, 1990-2019. Eur J Public Health 2023; 33:121-126. [PMID: 36421036 PMCID: PMC9897992 DOI: 10.1093/eurpub/ckac160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND It is important to understand the effects of population ageing on disease burden and explore conditions that drive poor health in later life to prevent or manage these. We examined the development of disease burden and its components for major disease groups among older adults in Europe over the last 30 years. METHODS Using data from the Global Burden of Disease 2019 Study, we analyzed burden of disease trends between 1990 and 2019 measured by years of life lost (YLL), years lived with disability (YLD) and disability-adjusted life years (DALYs) among older adults (65+ years) in Western, Central and Eastern Europe using cause groups for diseases and injuries. RESULTS Between 1990 and 2019, the crude numbers of DALYs for all causes increased substantially among older Western Europeans. In Eastern Europe, the absolute DALYs also increased from 1990 to 2005 but then decreased between 2006 and 2013. However, DALY rates declined for all European regions over time, with large differences in the magnitude by region and gender. Changes in the YLL rate were mainly driven by the contribution of cardiovascular diseases. CONCLUSIONS This study found an increased overall absolute disease burden among older Europeans between 1990 and 2019. The demographic change that has taken place in Eastern European countries implies a potential problem of directed resource allocation to the health care sector. Furthermore, the findings highlight the potential health gains through directing resources to health promotion and treatment to reduce YLDs and to prevent YLLs, primarily from cardiovascular diseases.
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Affiliation(s)
| | - Periklis Charalampous
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Peter Allebeck
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
| | | | - Rónán O'Caoimh
- Department of Geriatric and Stroke Medicine, Mercy University Hospital and University College Cork, Cork, Ireland
| | - Lorenzo Monasta
- Clinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS Burlo Garofolo, Trieste, Italy
| | - José L Peñalvo
- Unit of Non-Communicable Diseases, Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium
| | - David M Pereira
- REQUIMTE/LAQV, Laboratório de Farmacognosia, Departamento de Química, Faculdade de Farmácia, Universidade do Porto, Porto, Portugal
| | - Grant M A Wyper
- School of Health & Wellbeing, University of Glasgow, Glasgow, UK
| | - Vikram Niranjan
- School of Public Health, Physiotherapy and Sport Sciences at University College Dublin, Dublin, Ireland
| | - Brecht Devleesschauwer
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium.,Department of Translational Physiology, Infectiology and Public Health, Ghent University, Merelbeke, Belgium
| | - Juanita Haagsma
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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Hamidi OP, Driver C, Steller JG, Peek EE, Monasta L, Stampalija T, Gumina DL, DeVore GR, Hobbins JC, Galan HL. Umbilical Venous Volume Flow in Late-Onset Fetal Growth Restriction. J Ultrasound Med 2023; 42:173-183. [PMID: 35451119 DOI: 10.1002/jum.15993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 04/01/2022] [Accepted: 04/04/2022] [Indexed: 06/14/2023]
Abstract
OBJECTIVES Umbilical vein flow (UVF) is reduced in fetal growth restriction (FGR). We compared absolute and size-adjusted UVF (estimated fetal weight [EFW] and abdominal circumference [AC]) and rates of abnormal UVF parameters (<10th percentile) among FGR fetuses meeting Delphi criteria (FGR-D) against small for gestational age (SGA) fetuses and appropriate for gestational age (AGA) controls. METHODS Absolute UVF, UVF/EFW, and UVF/AC were compared between 73 FGR pregnancies (35 FGR-D, 38 SGA) and 108 AGA controls. Rates of abnormal UVF were compared to abnormal umbilical artery pulsatility index (UAPI). Independent samples t-tests, Mann-Whitney U, odds ratio (OR), chi-squared, and Fisher's exact tests were used as appropriate. RESULTS Mean absolute UVF was significantly decreased in FGR-D compared to AGA (P = .0147), but not between SGA and AGA fetuses. The incidence of both abnormal absolute UVF and UVF/AC values (<10th centile) was higher among late-onset FGR fetuses versus AGA fetuses (UVF: OR 2.7, confidence interval [CI] 1.37-5.4; UVF/AC: OR 2.73, CI 1.37-5.4). UVF was more frequently abnormal than UAPI and in only two fetuses were both Doppler values abnormal. CONCLUSION Absolute UVF is altered in late-onset FGR, and most pronounced among FGR-D. UVF may provide additional insight into fetal compromise in those affected by growth restriction.
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Affiliation(s)
- Odessa P Hamidi
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Camille Driver
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Jon G Steller
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Emma E Peek
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Lorenzo Monasta
- Clinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy
| | - Tamara Stampalija
- Unit of Fetal Medicine and Prenatal Diagnosis, Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Diane L Gumina
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Greggory R DeVore
- Department of Obstetrics and Gynecology, Wayne State University, Detroit, MI, USA
| | - John C Hobbins
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Henry L Galan
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA
- Colorado Fetal Care Center, Children's Hospital of Colorado, Aurora, CO, USA
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Haakenstad A, Yearwood JA, Fullman N, Bintz C, Bienhoff K, Weaver MR, Nandakumar V, LeGrand KE, Knight M, Abbafati C, Abbasi-Kangevari M, Abdoli A, Abeldaño Zuñiga RA, Adedeji IA, Adekanmbi V, Adetokunboh OO, Afzal MS, Afzal S, Agudelo-Botero M, Ahinkorah BO, Ahmad S, Ahmadi A, Ahmadi S, Ahmed A, Ahmed Rashid T, Aji B, Akande-Sholabi W, Alam K, Al Hamad H, Alhassan RK, Ali L, Alipour V, Aljunid SM, Ameyaw EK, Amin TT, Amu H, Amugsi DA, Ancuceanu R, Andrade PP, Anjum A, Arabloo J, Arab-Zozani M, Ariffin H, Arulappan J, Aryan Z, Ashraf T, Atnafu DD, Atreya A, Ausloos M, Avila-Burgos L, Ayano G, Ayanore MA, Azari S, Badiye AD, Baig AA, Bairwa M, Bakkannavar SM, Baliga S, Banik PC, Bärnighausen TW, Barra F, Barrow A, Basu S, Bayati M, Belete R, Bell AW, Bhagat DS, Bhagavathula AS, Bhardwaj P, Bhardwaj N, Bhaskar S, Bhattacharyya K, Bhurtyal A, Bhutta ZA, Bibi S, Bijani A, Bikbov B, Biondi A, Bolarinwa OA, Bonny A, Brenner H, Buonsenso D, Burkart K, Busse R, Butt ZA, Butt NS, Caetano dos Santos FL, Cahuana-Hurtado L, Cámera LA, Cárdenas R, Carneiro VLA, Catalá-López F, Chandan JS, Charan J, Chavan PP, Chen S, Chen S, Choudhari SG, Chowdhury EK, Chowdhury MAK, Cirillo M, Corso B, Dadras O, Dahlawi SMA, Dai X, Dandona L, Dandona R, Dangel WJ, Dávila-Cervantes CA, Davletov K, Deuba K, Dhimal M, Dhimal ML, Djalalinia S, Do HP, Doshmangir L, Duncan BB, Effiong A, Ehsani-Chimeh E, Elgendy IY, Elhadi M, El Sayed I, El Tantawi M, Erku DA, Eskandarieh S, Fares J, Farzadfar F, Ferrero S, Ferro Desideri L, Fischer F, Foigt NA, Foroutan M, Fukumoto T, Gaal PA, Gaihre S, Gardner WM, Garg T, Getachew Obsa A, Ghafourifard M, Ghashghaee A, Ghith N, Gilani SA, Gill PS, Goharinezhad S, Golechha M, Guadamuz JS, Guo Y, Gupta RD, Gupta R, Gupta VK, Gupta VB, Hamiduzzaman M, Hanif A, Haro JM, Hasaballah AI, Hasan MM, Hasan MT, Hashi A, Hay SI, Hayat K, Heidari M, Heidari G, Henry NJ, Herteliu C, Holla R, Hossain S, Hossain SJ, Hossain MBH, Hosseinzadeh M, Hostiuc S, Hoveidamanesh S, Hsieh VCR, Hu G, Huang J, Huda MM, Ifeagwu SC, Ikuta KS, Ilesanmi OS, Irvani SSN, Islam RM, Islam SMS, Ismail NE, Iso H, Isola G, Itumalla R, Iwagami M, Jahani MA, Jahanmehr N, Jain R, Jakovljevic M, Janodia MD, Jayapal SK, Jayaram S, Jha RP, Jonas JB, Joo T, Joseph N, Jürisson M, Kabir A, Kalankesh LR, Kalhor R, Kamath AM, Kamenov K, Kandel H, Kantar RS, Kapoor N, Karanikolos M, Katikireddi SV, Kavetskyy T, Kawakami N, Kayode GA, Keikavoosi-Arani L, Keykhaei M, Khader YS, Khajuria H, Khalilov R, Khammarnia M, Khan MN, Khan MAB, Khan M, Khezeli M, Kim MS, Kim YJ, Kisa S, Kisa A, Klymchuk V, Koly KN, Korzh O, Kosen S, Koul PA, Kuate Defo B, Kumar GA, Kusuma D, Kyu HH, Larsson AO, Lasrado S, Lee WC, Lee YH, Lee CB, Li S, Lucchetti G, Mahajan PB, Majeed A, Makki A, Malekzadeh R, Malik AA, Malta DC, Mansournia MA, Mantovani LG, Martinez-Valle A, Martins-Melo FR, Masoumi SZ, Mathur MR, Maude RJ, Maulik PK, McKee M, Mendoza W, Menezes RG, Mensah GA, Meretoja A, Meretoja TJ, Mestrovic T, Michalek IM, Mirrakhimov EM, Misganaw A, Misra S, Moazen B, Mohammadi M, Mohammed S, Moitra M, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moradi G, Moreira RS, Mosser JF, Mostafavi E, Mouodi S, Nagarajan AJ, Nagata C, Naghavi M, Nangia V, Narasimha Swamy S, Narayana AI, Nascimento BR, Nassereldine H, Nayak BP, Nazari J, Negoi I, Nepal S, Neupane Kandel S, Ngunjiri JW, Nguyen HLT, Nguyen CT, Ningrum DNA, Noubiap JJ, Oancea B, Oghenetega OB, Oh IH, Olagunju AT, Olakunde BO, Omar Bali A, Omer E, Onwujekwe OE, Otoiu A, Padubidri JR, Palladino R, Pana A, Panda-Jonas S, Pandi-Perumal SR, Pardhan S, Pasupula DK, Pathak PK, Patton GC, Pawar S, Pereira J, Pilania M, Piroozi B, Podder V, Pokhrel KN, Postma MJ, Prada SI, Quazi Syed Z, Rabiee N, Radhakrishnan RA, Rahman MM, Rahman M, Rahman M, Rahman MHU, Rahmani AM, Ranabhat CL, Rao CR, Rao SJ, Rasella D, Rawaf S, Rawaf DL, Rawal L, Renzaho AM, Reshmi B, Resnikoff S, Rezapour A, Riahi SM, Ripon RK, Sacco S, Sadeghi M, Saeed U, Sahebkar A, Sahiledengle B, Sahoo H, Sahu M, Salama JS, Salamati P, Samy AM, Sanabria J, Santric-Milicevic MM, Sathian B, Sawhney M, Schmidt MI, Seidu AA, Sepanlou SG, Seylani A, Shaikh MA, Sheikh A, Shetty A, Shigematsu M, Shiri R, Shivakumar KM, Shokri A, Singh JA, Sinha DN, Skryabin VY, Skryabina AA, Sofi-Mahmudi A, Sousa RARC, Stephens JH, Sun J, Szócska M, Tabarés-Seisdedos R, Tadbiri H, Tamiru AT, Thankappan KR, Topor-Madry R, Tovani-Palone MR, Tran MTN, Tran BX, Tripathi N, Tripathy JP, Troeger CE, Uezono DR, Ullah S, Ullah A, Unnikrishnan B, Vacante M, Valadan Tahbaz S, Valdez PR, Vasic M, Veroux M, Vervoort D, Violante FS, Vladimirov SK, Vlassov V, Vo B, Waheed Y, Wamai RG, Wang YP, Wang Y, Ward P, Wiangkham T, Yadav L, Yahyazadeh Jabbari SH, Yamagishi K, Yaya S, Yazdi-Feyzabadi V, Yi S, Yiğit V, Yonemoto N, Younis MZ, Yu C, Yunusa I, Zaman SB, Zastrozhin MS, Zhang ZJ, Zhong C, Zuniga YMH, Lim SS, Murray CJL, Lozano R. Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet Glob Health 2022; 10:e1715-e1743. [PMID: 36209761 PMCID: PMC9666426 DOI: 10.1016/s2214-109x(22)00429-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 05/13/2022] [Accepted: 09/23/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND Health-care needs change throughout the life course. It is thus crucial to assess whether health systems provide access to quality health care for all ages. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019), we measured the Healthcare Access and Quality (HAQ) Index overall and for select age groups in 204 locations from 1990 to 2019. METHODS We distinguished the overall HAQ Index (ages 0-74 years) from scores for select age groups: the young (ages 0-14 years), working (ages 15-64 years), and post-working (ages 65-74 years) groups. For GBD 2019, HAQ Index construction methods were updated to use the arithmetic mean of scaled mortality-to-incidence ratios (MIRs) and risk-standardised death rates (RSDRs) for 32 causes of death that should not occur in the presence of timely, quality health care. Across locations and years, MIRs and RSDRs were scaled from 0 (worst) to 100 (best) separately, putting the HAQ Index on a different relative scale for each age group. We estimated absolute convergence for each group on the basis of whether the HAQ Index grew faster in absolute terms between 1990 and 2019 in countries with lower 1990 HAQ Index scores than countries with higher 1990 HAQ Index scores and by Socio-demographic Index (SDI) quintile. SDI is a summary metric of overall development. FINDINGS Between 1990 and 2019, the HAQ Index increased overall (by 19·6 points, 95% uncertainty interval 17·9-21·3), as well as among the young (22·5, 19·9-24·7), working (17·2, 15·2-19·1), and post-working (15·1, 13·2-17·0) age groups. Large differences in HAQ Index scores were present across SDI levels in 2019, with the overall index ranging from 30·7 (28·6-33·0) on average in low-SDI countries to 83·4 (82·4-84·3) on average in high-SDI countries. Similarly large ranges between low-SDI and high-SDI countries, respectively, were estimated in the HAQ Index for the young (40·4-89·0), working (33·8-82·8), and post-working (30·4-79·1) groups. Absolute convergence in HAQ Index was estimated in the young group only. In contrast, divergence was estimated among the working and post-working groups, driven by slow progress in low-SDI countries. INTERPRETATION Although major gaps remain across levels of social and economic development, convergence in the young group is an encouraging sign of reduced disparities in health-care access and quality. However, divergence in the working and post-working groups indicates that health-care access and quality is lagging at lower levels of social and economic development. To meet the needs of ageing populations, health systems need to improve health-care access and quality for working-age adults and older populations while continuing to realise gains among the young. FUNDING Bill & Melinda Gates Foundation.
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Ussai S, Castelpietra G, Mariani I, Casale A, Missoni E, Pistis M, Monasta L, Armocida B. What Is Next for Public Health after COVID-19 in Italy? Adopting a Youth-Centred Care Approach in Mental Health Services. Int J Environ Res Public Health 2022; 19:14937. [PMID: 36429653 PMCID: PMC9690019 DOI: 10.3390/ijerph192214937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 11/10/2022] [Accepted: 11/11/2022] [Indexed: 06/16/2023]
Abstract
Although endeavours to protect mental well-being during the COVID-19 pandemic were taken at national and regional levels, e.g., mental support in school, a COVID-19 emergency toll-free number for psychological support, these were sporadic conjunctural financing interventions. In this Communication, the authors conducted a systematic search for programmatic and policy documents and reports with a solid literature and policy analysis concerning the main objective, which is to analyse the appropriateness in implementing gender- and age-sensitive, integrated, youth-centred mental health services in Italy. The Italian National Action Plan for Mental Health reports a highly fragmented situation in the Child and Adolescent Neuropsychiatry services, in terms of an integrated and comprehensive regional network of services for the diagnosis, treatment, and rehabilitation of neuropsychological disorders in young people. Wide-ranging interventions, systemic actions should be implemented, funded, and included in an overall structural strengthening of the healthcare system, including those dedicated to transition support services. In this context, the National Recovery and Resilience Plan (NRRP), may represent an opportunity to leverage specific funds for mental health in general, and for youth in particular. Finally, mental health service governance should be harmonized at both national and regional EU levels-with the adoption of best practices implemented by other Member States. This includes, among others, health information system and data collection, which is critical for analysing epidemiological trends and for monitoring and evaluating services, to offer a public and integrated system for the care and protection of young people, in line with the Convention on the Rights of the Child.
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Affiliation(s)
- Silvia Ussai
- Clinical Pharmacology and Toxicology, University of Cagliari, 09124 Cagliari, Italy
| | - Giulio Castelpietra
- Central Health Directorate, Inpatient and Outpatient Care Service, Friuli Venezia Giulia Region, 34121 Trieste, Italy
- Department of Medicine, Surgery and Health Science, University of Trieste, 34127 Trieste, Italy
| | - Ilaria Mariani
- WHO Collaborating Centre, Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, 34137 Trieste, Italy
| | - Andrea Casale
- Saluteglobale.it Associazione di Promozione Sociale, 25121 Brescia, Italy
| | - Eduardo Missoni
- Saluteglobale.it Associazione di Promozione Sociale, 25121 Brescia, Italy
- CERGAS—Centre for Research on Health and Social Care Management, Bocconi University, 20100 Milano, Italy
| | - Marco Pistis
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, 09124 Cagliari, Italy
| | - Lorenzo Monasta
- Clinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, 34137 Trieste, Italy
| | - Benedetta Armocida
- Department of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Istituto Superiore di Sanità, 00161 Rome, Italy
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Kyu HH, Vongpradith A, Sirota SB, Novotney A, Troeger CE, Doxey MC, Bender RG, Ledesma JR, Biehl MH, Albertson SB, Frostad JJ, Burkart K, Bennitt FB, Zhao JT, Gardner WM, Hagins H, Bryazka D, Dominguez RMV, Abate SM, Abdelmasseh M, Abdoli A, Abdoli G, Abedi A, Abedi V, Abegaz TM, Abidi H, Aboagye RG, Abolhassani H, Abtew YD, Abubaker Ali H, Abu-Gharbieh E, Abu-Zaid A, Adamu K, Addo IY, Adegboye OA, Adnan M, Adnani QES, Afzal MS, Afzal S, Ahinkorah BO, Ahmad A, Ahmad AR, Ahmad S, Ahmadi A, Ahmadi S, Ahmed H, Ahmed JQ, Ahmed Rashid T, Akbarzadeh-Khiavi M, Al Hamad H, Albano L, Aldeyab MA, Alemu BM, Alene KA, Algammal AM, Alhalaiqa FAN, Alhassan RK, Ali BA, Ali L, Ali MM, Ali SS, Alimohamadi Y, Alipour V, Al-Jumaily A, Aljunid SM, Almustanyir S, Al-Raddadi RM, Al-Rifai RHH, AlRyalat SAS, Alvis-Guzman N, Alvis-Zakzuk NJ, Ameyaw EK, Aminian Dehkordi JJ, Amuasi JH, Amugsi DA, Anbesu EW, Ansar A, Anyasodor AE, Arabloo J, Areda D, Argaw AM, Argaw ZG, Arulappan J, Aruleba RT, Asemahagn MA, Athari SS, Atlaw D, Attia EF, Attia S, Aujayeb A, Awoke T, Ayana TM, Ayanore MA, Azadnajafabad S, Azangou-Khyavy M, Azari S, Azari Jafari A, Badar M, Badiye AD, Baghcheghi N, Bagherieh S, Baig AA, Banach M, Banerjee I, Bardhan M, Barone-Adesi F, Barqawi HJ, Barrow A, Bashiri A, Bassat Q, Batiha AMM, Belachew AB, Belete MA, Belgaumi UI, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhatt P, Bhojaraja VS, Bhutta ZA, Bhuyan SS, Bijani A, Bitaraf S, Bodicha BBA, Briko NI, Buonsenso D, Butt MH, Cai J, Camargos P, Cámera LA, Chakraborty PA, Chanie MG, Charan J, Chattu VK, Ching PR, Choi S, Chong YY, Choudhari SG, Chowdhury EK, Christopher DJ, Chu DT, Cobb NL, Cohen AJ, Cruz-Martins N, Dadras O, Dagnaw FT, Dai X, Dandona L, Dandona R, Dao ATM, Debela SA, Demisse B, Demisse FW, Demissie S, Dereje D, Desai HD, Desta AA, Desye B, Dhingra S, Diao N, Diaz D, Digesa LE, Doan LP, Dodangeh M, Dongarwar D, Dorostkar F, dos Santos WM, Dsouza HL, Dubljanin E, Durojaiye OC, Edinur HA, Ehsani-Chimeh E, Eini E, Ekholuenetale M, Ekundayo TC, El Desouky ED, El Sayed I, El Sayed Zaki M, Elhadi M, Elkhapery AMR, Emami A, Engelbert Bain L, Erkhembayar R, Etaee F, Ezati Asar M, Fagbamigbe AF, Falahi S, Fallahzadeh A, Faraj A, Faraon EJA, Fatehizadeh A, Ferrara P, Ferrari AA, Fetensa G, Fischer F, Flavel J, Foroutan M, Gaal PA, Gaidhane AM, Gaihre S, Galehdar N, Garcia-Basteiro AL, Garg T, Gebrehiwot MD, Gebremichael MA, Gela YY, Gemeda BNB, Gessner BD, Getachew M, Getie A, Ghamari SH, Ghasemi Nour M, Ghashghaee A, Gholamrezanezhad A, Gholizadeh A, Ghosh R, Ghozy S, Goleij P, Golitaleb M, Gorini G, Goulart AC, Goyomsa GG, Guadie HA, Gudisa Z, Guled RA, Gupta S, Gupta VB, Gupta VK, Guta A, Habibzadeh P, Haj-Mirzaian A, Halwani R, Hamidi S, Hannan MA, Harorani M, Hasaballah AI, Hasani H, Hassan AM, Hassani S, Hassanian-Moghaddam H, Hassankhani H, Hayat K, Heibati B, Heidari M, Heyi DZ, Hezam K, Holla R, Hong SH, Horita N, Hosseini MS, Hosseinzadeh M, Hostiuc M, Househ M, Hoveidamanesh S, Huang J, Hussein NR, Iavicoli I, Ibitoye SE, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Immurana M, Ismail NE, Iwagami M, Jaafari J, Jamshidi E, Jang SI, Javadi Mamaghani A, Javaheri T, Javanmardi F, Javidnia J, Jayapal SK, Jayarajah U, Jayaram S, Jema AT, Jeong W, Jonas JB, Joseph N, Joukar F, Jozwiak JJ, K V, Kabir Z, Kacimi SEO, Kadashetti V, Kalankesh LR, Kalhor R, Kamath A, Kamble BD, Kandel H, Kanko TK, Karaye IM, Karch A, Karkhah S, Kassa BG, Katoto PDMC, Kaur H, Kaur RJ, Keikavoosi-Arani L, Keykhaei M, Khader YS, Khajuria H, Khan EA, Khan G, Khan IA, Khan M, Khan MN, Khan MAB, Khan YH, Khatatbeh MM, Khosravifar M, Khubchandani J, Kim MS, Kimokoti RW, Kisa A, Kisa S, Kissoon N, Knibbs LD, Kochhar S, Kompani F, Koohestani HR, Korshunov VA, Kosen S, Koul PA, Koyanagi A, Krishan K, Kuate Defo B, Kumar GA, Kurmi OP, Kuttikkattu A, Lal DK, Lám J, Landires I, Ledda C, Lee SW, Levi M, Lewycka S, Liu G, Liu W, Lodha R, Lorenzovici L, Lotfi M, Loureiro JA, Madadizadeh F, Mahmoodpoor A, Mahmoudi R, Mahmoudimanesh M, Majidpoor J, Makki A, Malakan Rad E, Malik AA, Mallhi TH, Manla Y, Matei CN, Mathioudakis AG, Maude RJ, Mehrabi Nasab E, Melese A, Memish ZA, Mendoza-Cano O, Mentis AFA, Meretoja TJ, Merid MW, Mestrovic T, Micheletti Gomide Nogueira de Sá AC, Mijena GFW, Minh LHN, Mir SA, Mirfakhraie R, Mirmoeeni S, Mirza AZ, Mirza M, Mirza-Aghazadeh-Attari M, Misganaw AS, Misganaw AT, Mohammadi E, Mohammadi M, Mohammed A, Mohammed S, Mohan S, Mohseni M, Moka N, Mokdad AH, Momtazmanesh S, Monasta L, Moniruzzaman M, Montazeri F, Moore CE, Moradi A, Morawska L, Mosser JF, Mostafavi E, Motaghinejad M, Mousavi Isfahani H, Mousavi-Aghdas SA, Mubarik S, Murillo-Zamora E, Mustafa G, Nair S, Nair TS, Najafi H, Naqvi AA, Narasimha Swamy S, Natto ZS, Nayak BP, Nejadghaderi SA, Nguyen HVN, Niazi RK, Nogueira de Sá AT, Nouraei H, Nowroozi A, Nuñez-Samudio V, Nzoputam CI, Nzoputam OJ, Oancea B, Ochir C, Odukoya OO, Okati-Aliabad H, Okekunle AP, Okonji OC, Olagunju AT, Olufadewa II, Omar Bali A, Omer E, Oren E, Ota E, Otstavnov N, Oulhaj A, P A M, Padubidri JR, Pakshir K, Pakzad R, Palicz T, Pandey A, Pant S, Pardhan S, Park EC, Park EK, Pashazadeh Kan F, Paudel R, Pawar S, Peng M, Pereira G, Perna S, Perumalsamy N, Petcu IR, Pigott DM, Piracha ZZ, Podder V, Polibin RV, Postma MJ, Pourasghari H, Pourtaheri N, Qadir MMF, Raad M, Rabiee M, Rabiee N, Raeghi S, Rafiei A, Rahim F, Rahimi M, Rahimi-Movaghar V, Rahman A, Rahman MO, Rahman M, Rahman MA, Rahmani AM, Rahmanian V, Ram P, Ramezanzadeh K, Rana J, Ranasinghe P, Rani U, Rao SJ, Rashedi S, Rashidi MM, Rasul A, Ratan ZA, Rawaf DL, Rawaf S, Rawassizadeh R, Razeghinia MS, Redwan EMM, Reitsma MB, Renzaho AMN, Rezaeian M, Riad A, Rikhtegar R, Rodriguez JAB, Rogowski ELB, Ronfani L, Rudd KE, Saddik B, Sadeghi E, Saeed U, Safary A, Safi SZ, Sahebazzamani M, Sahebkar A, Sakhamuri S, Salehi S, Salman M, Samadi Kafil H, Samy AM, Santric-Milicevic MM, Sao Jose BP, Sarkhosh M, Sathian B, Sawhney M, Saya GK, Seidu AA, Seylani A, Shaheen AA, Shaikh MA, Shaker E, Shamshad H, Sharew MM, Sharhani A, Sharifi A, Sharma P, Sheidaei A, Shenoy SM, Shetty JK, Shiferaw DS, Shigematsu M, Shin JI, Shirzad-Aski H, Shivakumar KM, Shivalli S, Shobeiri P, Simegn W, Simpson CR, Singh H, Singh JA, Singh P, Siwal SS, Skryabin VY, Skryabina AA, Soltani-Zangbar MS, Song S, Song Y, Sood P, Sreeramareddy CT, Steiropoulos P, Suleman M, Tabatabaeizadeh SA, Tahamtan A, Taheri M, Taheri Soodejani M, Taki E, Talaat IM, Tampa M, Tandukar S, Tat NY, Tat VY, Tefera YM, Temesgen G, Temsah MH, Tesfaye A, Tesfaye DG, Tessema B, Thapar R, Ticoalu JHV, Tiyuri A, Tleyjeh II, Togtmol M, Tovani-Palone MR, Tufa DG, Ullah I, Upadhyay E, Valadan Tahbaz S, Valdez PR, Valizadeh R, Vardavas C, Vasankari TJ, Vo B, Vu LG, Wagaye B, Waheed Y, Wang Y, Waris A, West TE, Wickramasinghe ND, Xu X, Yaghoubi S, Yahya GAT, Yahyazadeh Jabbari SH, Yon DK, Yonemoto N, Zaman BA, Zandifar A, Zangiabadian M, Zar HJ, Zare I, Zareshahrabadi Z, Zarrintan A, Zastrozhin MS, Zeng W, Zhang M, Zhang ZJ, Zhong C, Zoladl M, Zumla A, Lim SS, Vos T, Naghavi M, Brauer M, Hay SI, Murray CJL. Age-sex differences in the global burden of lower respiratory infections and risk factors, 1990-2019: results from the Global Burden of Disease Study 2019. Lancet Infect Dis 2022; 22:1626-1647. [PMID: 35964613 PMCID: PMC9605880 DOI: 10.1016/s1473-3099(22)00510-2] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 05/18/2022] [Accepted: 07/18/2022] [Indexed: 12/03/2022]
Abstract
BACKGROUND The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories. METHODS In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466-469, 470.0, 480-482.8, 483.0-483.9, 484.1-484.2, 484.6-484.7, and 487-489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4-B97.6, J09-J15.8, J16-J16.9, J20-J21.9, J91.0, P23.0-P23.4, and U04-U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23 109 site-years of vital registration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian meta-regression tool, to analyse age-sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and claims and inpatient data. Additionally, we estimated age-sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors. FINDINGS Globally, in 2019, we estimated that there were 257 million (95% uncertainty interval [UI] 240-275) LRI incident episodes in males and 232 million (217-248) in females. In the same year, LRIs accounted for 1·30 million (95% UI 1·18-1·42) male deaths and 1·20 million (1·07-1·33) female deaths. Age-standardised incidence and mortality rates were 1·17 times (95% UI 1·16-1·18) and 1·31 times (95% UI 1·23-1·41) greater in males than in females in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126·0% [95% UI 121·4-131·1]) and deaths (100·0% [83·4-115·9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest decline was observed for LRI deaths in males younger than 5 years (-70·7% [-77·2 to -61·8]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction [PAF] 53·0% [95% UI 37·7-61·8] in males and 56·4% [40·7-65·1] in females), and more than a quarter of LRI deaths among those aged 5-14 years were attributable to household air pollution (PAF 26·0% [95% UI 16·6-35·5] for males and PAF 25·8% [16·3-35·4] for females). PAFs of male LRI deaths attributed to smoking were 20·4% (95% UI 15·4-25·2) in those aged 15-49 years, 30·5% (24·1-36·9) in those aged 50-69 years, and 21·9% (16·8-27·3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21·1% (95% UI 14·5-27·9) in those aged 15-49 years and 18·2% (12·5-24·5) in those aged 50-69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11·7% (95% UI 8·2-15·8) of LRI deaths. INTERPRETATION The patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children younger than 5 years was clearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, including promoting wellbeing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities. FUNDING Bill & Melinda Gates Foundation.
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Zielinska AP, Mullins E, Magni E, Zamagni G, Kleprlikova H, Adams O, Stampalija T, Monasta L, Lees C. Remote multimodality monitoring of maternal physiology from the first trimester to postpartum period: study results. J Hypertens 2022; 40:2280-2291. [PMID: 35969213 PMCID: PMC9553246 DOI: 10.1097/hjh.0000000000003260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 05/31/2022] [Accepted: 06/30/2022] [Indexed: 12/02/2022]
Abstract
OBJECTIVES Current antenatal care largely relies on widely spaced appointments, hence only a fraction of the pregnancy period is subject to monitoring. Continuous monitoring of physiological parameters could represent a paradigm shift in obstetric care. Here, we analyse the data from daily home monitoring in pregnancy and consider the implications of this approach for tracking pregnancy health. METHODS Prospective feasibility study of continuous home monitoring of blood pressure, weight, heart rate, sleep and activity patterns from the first trimester to 6 weeks postpartum. RESULTS Fourteen out of 24 women completed the study (58%). Compared to early pregnancy [week 13, median heart rate (HR) 72/min, interquartile range (IQR) 12.8], heart rate increased by week 35 (HR 78/min, IQR 16.6; P = 0.041) and fell postpartum (HR 66/min, IQR 11.5, P = 0.021). Both systolic and diastolic blood pressure were lower at mid-gestation (week 20: SBP 103 mmHg, IQR 6.6; DPB 63 mmHg, IQR 5.3 P = 0.005 and P = 0.045, respectively) compared to early pregnancy (week 13, SBP 107 mmHg, IQR 12.4; DPB 67 mmHg, IQR 7.1). Weight increased during pregnancy between each time period analyzed, starting from week 15. Smartwatch recordings indicated that activity increased in the prepartum period, while deep sleep declined as pregnancy progressed. CONCLUSION Home monitoring tracks individual physiological responses to pregnancy in high resolution that routine clinic visits cannot. Changes in the study protocol suggested by the study participants may improve compliance for future studies, which was particularly low in the postpartum period. Future work will investigate whether distinct adaptative patterns predate obstetric complications, or can predict long-term maternal cardiovascular health.
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Affiliation(s)
- Agata P. Zielinska
- Department of Metabolism, Digestion and Reproduction, Imperial College London
| | - Edward Mullins
- Department of Metabolism, Digestion and Reproduction, Imperial College London
- Queen Charlotte's and Chelsea Hospital, Imperial College Healthcare NHS Trust
- The George Institute for Global Health, London, UK
| | - Elena Magni
- Institute for Maternal and Child Health – IRCCS “Burlo Garofolo”, Trieste, Italy
| | - Giulia Zamagni
- Institute for Maternal and Child Health – IRCCS “Burlo Garofolo”, Trieste, Italy
| | - Hana Kleprlikova
- Department of Metabolism, Digestion and Reproduction, Imperial College London
- Queen Charlotte's and Chelsea Hospital, Imperial College Healthcare NHS Trust
- Department of General Anthropology, Faculty of Humanities, Charles University in Prague, Czech Republic
| | - Olive Adams
- Queen Charlotte's and Chelsea Hospital, Imperial College Healthcare NHS Trust
| | - Tamara Stampalija
- Institute for Maternal and Child Health – IRCCS “Burlo Garofolo”, Trieste, Italy
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Lorenzo Monasta
- Institute for Maternal and Child Health – IRCCS “Burlo Garofolo”, Trieste, Italy
| | - Christoph Lees
- Department of Metabolism, Digestion and Reproduction, Imperial College London
- Queen Charlotte's and Chelsea Hospital, Imperial College Healthcare NHS Trust
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Wulf Hanson S, Abbafati C, Aerts JG, Al-Aly Z, Ashbaugh C, Ballouz T, Blyuss O, Bobkova P, Bonsel G, Borzakova S, Buonsenso D, Butnaru D, Carter A, Chu H, De Rose C, Diab MM, Ekbom E, El Tantawi M, Fomin V, Frithiof R, Gamirova A, Glybochko PV, Haagsma JA, Haghjooy Javanmard S, Hamilton EB, Harris G, Heijenbrok-Kal MH, Helbok R, Hellemons ME, Hillus D, Huijts SM, Hultström M, Jassat W, Kurth F, Larsson IM, Lipcsey M, Liu C, Loflin CD, Malinovschi A, Mao W, Mazankova L, McCulloch D, Menges D, Mohammadifard N, Munblit D, Nekliudov NA, Ogbuoji O, Osmanov IM, Peñalvo JL, Petersen MS, Puhan MA, Rahman M, Rass V, Reinig N, Ribbers GM, Ricchiuto A, Rubertsson S, Samitova E, Sarrafzadegan N, Shikhaleva A, Simpson KE, Sinatti D, Soriano JB, Spiridonova E, Steinbeis F, Svistunov AA, Valentini P, van de Water BJ, van den Berg-Emons R, Wallin E, Witzenrath M, Wu Y, Xu H, Zoller T, Adolph C, Albright J, Amlag JO, Aravkin AY, Bang-Jensen BL, Bisignano C, Castellano R, Castro E, Chakrabarti S, Collins JK, Dai X, Daoud F, Dapper C, Deen A, Duncan BB, Erickson M, Ewald SB, Ferrari AJ, Flaxman AD, Fullman N, Gamkrelidze A, Giles JR, Guo G, Hay SI, He J, Helak M, Hulland EN, Kereselidze M, Krohn KJ, Lazzar-Atwood A, Lindstrom A, Lozano R, Malta DC, Månsson J, Mantilla Herrera AM, Mokdad AH, Monasta L, Nomura S, Pasovic M, Pigott DM, Reiner RC, Reinke G, Ribeiro ALP, Santomauro DF, Sholokhov A, Spurlock EE, Walcott R, Walker A, Wiysonge CS, Zheng P, Bettger JP, Murray CJL, Vos T. Estimated Global Proportions of Individuals With Persistent Fatigue, Cognitive, and Respiratory Symptom Clusters Following Symptomatic COVID-19 in 2020 and 2021. JAMA 2022; 328:1604-1615. [PMID: 36215063 PMCID: PMC9552043 DOI: 10.1001/jama.2022.18931] [Citation(s) in RCA: 281] [Impact Index Per Article: 140.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 09/25/2022] [Indexed: 01/14/2023]
Abstract
Importance Some individuals experience persistent symptoms after initial symptomatic SARS-CoV-2 infection (often referred to as Long COVID). Objective To estimate the proportion of males and females with COVID-19, younger or older than 20 years of age, who had Long COVID symptoms in 2020 and 2021 and their Long COVID symptom duration. Design, Setting, and Participants Bayesian meta-regression and pooling of 54 studies and 2 medical record databases with data for 1.2 million individuals (from 22 countries) who had symptomatic SARS-CoV-2 infection. Of the 54 studies, 44 were published and 10 were collaborating cohorts (conducted in Austria, the Faroe Islands, Germany, Iran, Italy, the Netherlands, Russia, Sweden, Switzerland, and the US). The participant data were derived from the 44 published studies (10 501 hospitalized individuals and 42 891 nonhospitalized individuals), the 10 collaborating cohort studies (10 526 and 1906), and the 2 US electronic medical record databases (250 928 and 846 046). Data collection spanned March 2020 to January 2022. Exposures Symptomatic SARS-CoV-2 infection. Main Outcomes and Measures Proportion of individuals with at least 1 of the 3 self-reported Long COVID symptom clusters (persistent fatigue with bodily pain or mood swings; cognitive problems; or ongoing respiratory problems) 3 months after SARS-CoV-2 infection in 2020 and 2021, estimated separately for hospitalized and nonhospitalized individuals aged 20 years or older by sex and for both sexes of nonhospitalized individuals younger than 20 years of age. Results A total of 1.2 million individuals who had symptomatic SARS-CoV-2 infection were included (mean age, 4-66 years; males, 26%-88%). In the modeled estimates, 6.2% (95% uncertainty interval [UI], 2.4%-13.3%) of individuals who had symptomatic SARS-CoV-2 infection experienced at least 1 of the 3 Long COVID symptom clusters in 2020 and 2021, including 3.2% (95% UI, 0.6%-10.0%) for persistent fatigue with bodily pain or mood swings, 3.7% (95% UI, 0.9%-9.6%) for ongoing respiratory problems, and 2.2% (95% UI, 0.3%-7.6%) for cognitive problems after adjusting for health status before COVID-19, comprising an estimated 51.0% (95% UI, 16.9%-92.4%), 60.4% (95% UI, 18.9%-89.1%), and 35.4% (95% UI, 9.4%-75.1%), respectively, of Long COVID cases. The Long COVID symptom clusters were more common in women aged 20 years or older (10.6% [95% UI, 4.3%-22.2%]) 3 months after symptomatic SARS-CoV-2 infection than in men aged 20 years or older (5.4% [95% UI, 2.2%-11.7%]). Both sexes younger than 20 years of age were estimated to be affected in 2.8% (95% UI, 0.9%-7.0%) of symptomatic SARS-CoV-2 infections. The estimated mean Long COVID symptom cluster duration was 9.0 months (95% UI, 7.0-12.0 months) among hospitalized individuals and 4.0 months (95% UI, 3.6-4.6 months) among nonhospitalized individuals. Among individuals with Long COVID symptoms 3 months after symptomatic SARS-CoV-2 infection, an estimated 15.1% (95% UI, 10.3%-21.1%) continued to experience symptoms at 12 months. Conclusions and Relevance This study presents modeled estimates of the proportion of individuals with at least 1 of 3 self-reported Long COVID symptom clusters (persistent fatigue with bodily pain or mood swings; cognitive problems; or ongoing respiratory problems) 3 months after symptomatic SARS-CoV-2 infection.
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Affiliation(s)
- Sarah Wulf Hanson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Cristiana Abbafati
- Department of Juridical and Economic Studies, La Sapienza University, Rome, Italy
| | - Joachim G Aerts
- Department of Pulmonary Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ziyad Al-Aly
- John T. Milliken Department of Internal Medicine, Washington University in St Louis, St Louis, Missouri
- Clinical Epidemiology Center, US Department of Veterans Affairs, St Louis, Missouri
| | - Charlie Ashbaugh
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Tala Ballouz
- Epidemiology, Biostatistics, and Prevention Institute, University of Zürich, Zurich, Switzerland
| | - Oleg Blyuss
- Wolfson Institute of Population Health, Queen Mary University of London, London, England
- Department of Pediatrics and Pediatric Infectious Diseases, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Polina Bobkova
- Clinical Medicine (Pediatric Profile), I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Gouke Bonsel
- EuroQol Research Foundation, Rotterdam, the Netherlands
| | - Svetlana Borzakova
- Pirogov Russian National Research Medical University, Moscow
- Research Institute for Healthcare Organization and Medical Management, Moscow Healthcare Department, Moscow, Russia
| | - Danilo Buonsenso
- Department of Woman and Child Health and Public Health, Agostino Gemelli University Polyclinic IRCCS, Rome, Italy
- Global Health Research Institute, Catholic University of Sacred Heart, Rome, Italy
| | - Denis Butnaru
- I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Austin Carter
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Helen Chu
- Department of Medicine, University of Washington, Seattle
| | - Cristina De Rose
- Department of Woman and Child Health and Public Health, Agostino Gemelli University Polyclinic IRCCS, Rome, Italy
| | - Mohamed Mustafa Diab
- Center for Policy Impact in Global Health, Duke University, Durham, North Carolina
- Department of Surgery, Duke University, Durham, North Carolina
| | - Emil Ekbom
- Uppsala University Hospital, Uppsala, Sweden
| | - Maha El Tantawi
- Pediatric Dentistry and Dental Public Health Department, Alexandria University, Alexandria, Egypt
| | - Victor Fomin
- Rector's Office, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Robert Frithiof
- Department of Surgical Sciences, Anesthesiology, and Intensive Care Medicine, Uppsala University, Uppsala, Sweden
| | - Aysylu Gamirova
- Clinical Medicine (General Medicine Profile), I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Petr V Glybochko
- Administration Department, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Juanita A Haagsma
- Department of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Shaghayegh Haghjooy Javanmard
- Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Erin B Hamilton
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | | | - Majanka H Heijenbrok-Kal
- Department of Rehabilitation Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
- Neurorehabilitation, Rijndam Rehabilitation, Rotterdam, the Netherlands
| | - Raimund Helbok
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Merel E Hellemons
- Department of Pulmonary Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - David Hillus
- Department of Infectious Diseases and Respiratory Medicine, Charité Medical University Berlin, Berlin, Germany
| | - Susanne M Huijts
- Department of Respiratory Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Michael Hultström
- Department of Surgical Sciences, Anesthesiology, and Intensive Care Medicine, Uppsala University, Uppsala, Sweden
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Waasila Jassat
- Department of Public Health Surveillance and Response, National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Florian Kurth
- Department of Infectious Diseases and Respiratory Medicine, Charité University Medical Center Berlin, Berlin, Germany
- Department of Clinical Research and Tropical Medicine, Bernhard-Nocht Institute of Tropical Medicine, Hamburg, Germany
| | - Ing-Marie Larsson
- Department of Surgical Sciences, Anesthesiology, and Intensive Care Medicine, Uppsala University, Uppsala, Sweden
| | - Miklós Lipcsey
- Department of Surgical Sciences, Anesthesiology, and Intensive Care Medicine, Uppsala University, Uppsala, Sweden
| | - Chelsea Liu
- Department of Epidemiology, Harvard University, Boston, Massachusetts
| | | | | | - Wenhui Mao
- Center for Policy Impact in Global Health, Duke University, Durham, North Carolina
- Duke Global Health Institute, Duke University, Durham, North Carolina
| | - Lyudmila Mazankova
- Russian Medical Academy of Continuous Professional Education, Ministry of Healthcare of the Russian Federation, Moscow
| | | | - Dominik Menges
- Epidemiology, Biostatistics, and Prevention Institute, University of Zürich, Zurich, Switzerland
| | - Noushin Mohammadifard
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Daniel Munblit
- Department of Pediatrics and Pediatric Infectious Diseases, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
- National Heart and Lung Institute, Imperial College London, London, England
| | - Nikita A Nekliudov
- Clinical Medicine (General Medicine Profile), I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Osondu Ogbuoji
- Duke Global Health Institute, Duke University, Durham, North Carolina
| | - Ismail M Osmanov
- Pirogov Russian National Research Medical University, Moscow
- ZA Bashlyaeva Children's Municipal Clinical Hospital, Moscow, Russia
| | - José L Peñalvo
- Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts
| | - Maria Skaalum Petersen
- Department of Occupational Medicine and Public Health, Faroese Hospital System, Torshavn, Faroe Islands
- Centre of Health Science, University of Faroe Islands, Torshavn
| | - Milo A Puhan
- Epidemiology, Biostatistics, and Prevention Institute, University of Zürich, Zurich, Switzerland
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland
| | - Mujibur Rahman
- Department of Internal Medicine, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh
| | - Verena Rass
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Nickolas Reinig
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Gerard M Ribbers
- Department of Rehabilitation Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Antonia Ricchiuto
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Sten Rubertsson
- Department of Surgical Sciences, Anesthesiology, and Intensive Care Medicine, Uppsala University, Uppsala, Sweden
- Department of Surgical Sciences, Hedenstierna Laboratory, Uppsala University, Uppsala, Sweden
| | - Elmira Samitova
- Russian Medical Academy of Continuous Professional Education, Ministry of Healthcare of the Russian Federation, Moscow
- ZA Bashlyaeva Children's Municipal Clinical Hospital, Moscow, Russia
| | - Nizal Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
- School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - Anastasia Shikhaleva
- Clinical Medicine (Pediatric Profile), I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Kyle E Simpson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Dario Sinatti
- Department of Woman and Child Health and Public Health, Agostino Gemelli University Polyclinic IRCCS, Rome, Italy
| | - Joan B Soriano
- Hospital Universitario de La Princesa, Madrid, Spain
- Centro de Investigación Biomédica en Red Enfermedades Respiratorias (Center for Biomedical Research in Respiratory Diseases Network), Madrid, Spain
| | - Ekaterina Spiridonova
- Clinical Medicine (General Medicine Profile), I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Fridolin Steinbeis
- Department of Infectious Diseases and Respiratory Medicine, Charité Medical University Berlin, Berlin, Germany
| | - Andrey A Svistunov
- Administration Department, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Piero Valentini
- Department of Woman and Child Health and Public Health, Agostino Gemelli University Polyclinic IRCCS, Rome, Italy
| | - Brittney J van de Water
- Department of Global Health and Social Medicine, Harvard University, Boston, Massachusetts
- Nursing and Midwifery Department, Seed Global Health, Boston, Massachusetts
| | - Rita van den Berg-Emons
- Department of Rehabilitation Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ewa Wallin
- Department of Surgical Sciences, Anesthesiology, and Intensive Care Medicine, Uppsala University, Uppsala, Sweden
| | - Martin Witzenrath
- Department of Infectious Diseases and Respiratory Medicine, Charité University Medical Center Berlin, Berlin, Germany
- German Center for Lung Research, Berlin
| | - Yifan Wu
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Hanzhang Xu
- Department of Family Medicine and Community Health, Duke University, Durham, North Carolina
| | - Thomas Zoller
- Department of Infectious Diseases and Respiratory Medicine, Charité Medical University Berlin, Berlin, Germany
| | - Christopher Adolph
- Department of Political Science, University of Washington, Seattle
- Center for Statistics and the Social Sciences, University of Washington, Seattle
| | - James Albright
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Joanne O Amlag
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Aleksandr Y Aravkin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Applied Mathematics, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Bree L Bang-Jensen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Catherine Bisignano
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Rachel Castellano
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Emma Castro
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Suman Chakrabarti
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Global Health, University of Washington, Seattle
| | - James K Collins
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Xiaochen Dai
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Farah Daoud
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Carolyn Dapper
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Amanda Deen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Megan Erickson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Samuel B Ewald
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Alize J Ferrari
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- School of Public Health, University of Queensland, Brisbane, Australia
| | - Abraham D Flaxman
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Nancy Fullman
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | | | - John R Giles
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Gaorui Guo
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Jiawei He
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Monika Helak
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Erin N Hulland
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Global Health, University of Washington, Seattle
| | - Maia Kereselidze
- National Center for Disease Control and Public Health, Tbilisi, Georgia
| | - Kris J Krohn
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Alice Lazzar-Atwood
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Akiaja Lindstrom
- School of Public Health, University of Queensland, Brisbane, Australia
- School of Public Health, Queensland Centre for Mental Health Research, Wacol, Australia
| | - Rafael Lozano
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Deborah Carvalho Malta
- Department of Maternal and Child Nursing and Public Health, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Johan Månsson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Ana M Mantilla Herrera
- School of Public Health, University of Queensland, Brisbane, Australia
- West Moreton Hospital Health Services, Queensland Centre for Mental Health Research, Wacol, Australia
| | - Ali H Mokdad
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Lorenzo Monasta
- Clinical Epidemiology and Public Health Research Unit, Burlo Garofolo Institute for Maternal and Child Health, Trieste, Italy
| | - Shuhei Nomura
- Department of Health Policy and Management, Keio University, Tokyo, Japan
- Department of Global Health Policy, University of Tokyo, Tokyo, Japan
| | - Maja Pasovic
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - David M Pigott
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Robert C Reiner
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Grace Reinke
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Antonio Luiz P Ribeiro
- Department of Internal Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil
- Centre of Telehealth, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Damian Francesco Santomauro
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- School of Public Health, University of Queensland, Brisbane, Australia
- Policy and Epidemiology Group, Queensland Centre for Mental Health Research, Wacol, Australia
| | - Aleksei Sholokhov
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Emma Elizabeth Spurlock
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Social and Behavioral Sciences, School of Public Health, Yale University, New Haven, Connecticut
| | - Rebecca Walcott
- Evans School of Public Policy and Governance, University of Washington, Seattle
| | - Ally Walker
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Charles Shey Wiysonge
- Cochrane South Africa, South African Medical Research Council, Cape Town
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Durban
| | - Peng Zheng
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Janet Prvu Bettger
- Department of Orthopedic Surgery, Duke University, Durham, North Carolina
| | - Christopher J L Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Theo Vos
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
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Fantasia I, Zamagni G, Lees C, Mylrea‐Foley B, Monasta L, Mullins E, Prefumo F, Stampalija T. Current practice in the diagnosis and management of fetal growth restriction: An international survey. Acta Obstet Gynecol Scand 2022; 101:1431-1439. [PMID: 36214456 PMCID: PMC9812103 DOI: 10.1111/aogs.14466] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/08/2022] [Accepted: 09/15/2022] [Indexed: 01/07/2023]
Abstract
INTRODUCTION The aim of this survey was to evaluate the current practice in respect of diagnosis and management of fetal growth restriction among obstetricians in different countries. MATERIAL AND METHODS An e-questionnaire was sent via REDCap with "click thru" links in emails and newsletters to obstetric practitioners in different countries and settings with different levels of expertise. Clinical scenarios in early and late fetal growth restriction were given, followed by structured questions/response pairings. RESULTS A total of 275 participants replied to the survey with 87% of responses complete. Participants were obstetrician/gynecologists (54%; 148/275) and fetal medicine specialists (43%; 117/275), and the majority practiced in a tertiary teaching hospital (56%; 153/275). Delphi consensus criteria for fetal growth restriction diagnosis were used by 81% of participants (223/275) and 82% (225/274) included a drop in fetal growth velocity in their diagnostic criteria for late fetal growth restriction. For early fetal growth restriction, TRUFFLE criteria were used for fetal monitoring and delivery timing by 81% (223/275). For late fetal growth restriction, indices of cerebral blood flow redistribution were used by 99% (250/252), most commonly cerebroplacental ratio (54%, 134/250). Delivery timing was informed by cerebral blood flow redistribution in 72% (176/244), used from ≥32 weeks of gestation. Maternal biomarkers and hemodynamics, as additional tools in the context of early-onset fetal growth restriction (≤32 weeks of gestation), were used by 22% (51/232) and 46% (106/230), respectively. CONCLUSIONS The diagnosis and management of fetal growth restriction are fairly homogeneous among different countries and levels of practice, particularly for early fetal growth restriction. Indices of cerebral flow distribution are widely used in the diagnosis and management of late fetal growth restriction, whereas maternal biomarkers and hemodynamics are less frequently assessed but more so in early rather than late fetal growth restriction. Further standardization is needed for the definition of cerebral blood flow redistribution.
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Affiliation(s)
- Ilaria Fantasia
- Unit of Fetal Medicine and Prenatal DiagnosisInstitute for Maternal and Child Health—IRCCS “Burlo Garofolo”TriesteItaly
| | - Giulia Zamagni
- Clinical Epidemiology and Public Health Research UnitInstitute for Maternal and Child Health—IRCCS "Burlo Garofolo"TriesteItaly
| | - Christoph Lees
- Imperial College London, Obstetrics and GynecologyQueen Charlotte's & Chelsea Hospital LondonLondonUK
| | - Bronacha Mylrea‐Foley
- Imperial College London, Obstetrics and GynecologyQueen Charlotte's & Chelsea Hospital LondonLondonUK
| | - Lorenzo Monasta
- Clinical Epidemiology and Public Health Research UnitInstitute for Maternal and Child Health—IRCCS "Burlo Garofolo"TriesteItaly
| | - Edward Mullins
- Imperial College London, Obstetrics and GynecologyQueen Charlotte's & Chelsea Hospital LondonLondonUK
| | - Federico Prefumo
- Obstetrics and Gynecology UnitIRCCS Giannina Gaslini InstituteGenoaItaly
| | - Tamara Stampalija
- Unit of Fetal Medicine and Prenatal DiagnosisInstitute for Maternal and Child Health—IRCCS “Burlo Garofolo”TriesteItaly,Department of Medical, Surgical and Health SciencesUniversity of TriesteTriesteItaly
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Frostad JJ, Nguyen QP, Baumann MM, Blacker BF, Marczak LB, Deshpande A, Wiens KE, LeGrand KE, Johnson KB, Abbasi-Kangevari M, Abdoli A, Abolhassani H, Abreu LG, Abrigo MRM, Abu-Rmeileh NME, Adekanmbi V, Agrawal A, Ahmed MB, Al-Aly Z, Alanezi FM, Alcalde-Rabanal JE, Alipour V, Altirkawi KA, Alvis-Guzman N, Alvis-Zakzuk NJ, Amegah AK, Amini S, Amiri F, Amugsi DA, Ancuceanu R, Andrei CL, Andrei T, Antriyandarti E, Anvari D, Arabloo J, Arab-Zozani M, Athari SS, Ausloos M, Ayano G, Aynalem YA, Azari S, Badiye AD, Baig AA, Balakrishnan K, Banach M, Basu S, Bedi N, Bell ML, Bennett DA, Bhattacharyya K, Bhutta ZA, Bibi S, Bohlouli S, Boufous S, Bragazzi NL, Braithwaite D, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Car J, Cárdenas R, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Cerin E, Chattu SK, Chattu VK, Chaturvedi P, Chaturvedi S, Chen S, Chu DT, Chung SC, Dahlawi SMA, Damiani G, Dandona L, Dandona R, Darwesh AM, Das JK, Dash AP, Dávila-Cervantes CA, De Leo D, De Neve JW, Demissie GD, Denova-Gutiérrez E, Dey S, Dharmaratne SD, Dhimal M, Dhungana GP, Diaz D, Dipeolu IO, Dorostkar F, Doshmangir L, Duraes AR, Edinur HA, Efendi F, El Tantawi M, Eskandarieh S, Fadhil I, Fattahi N, Fauk NK, Fereshtehnejad SM, Folayan MO, Foroutan M, Fukumoto T, Gaidhane AM, Ghafourifard M, Ghashghaee A, Gilani SA, Gill TK, Goulart AC, Goulart BNG, Grada A, Gubari MIM, Guido D, Guo Y, Gupta RD, Gupta R, Gutiérrez RA, Hafezi-Nejad N, Hamadeh RR, Hasaballah AI, Hassanipour S, Hayat K, Heibati B, Heidari-Soureshjani R, Henry NJ, Herteliu C, Hosseinzadeh M, Hsairi M, Hu G, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Irvani SSN, Islam SMS, Iwu CCD, Jaafari J, Jakovljevic M, Javaheri T, Jha RP, Ji JS, Jonas JB, Kabir A, Kabir Z, Kalhor R, Kamyari N, Kanchan T, Kapil U, Kapoor N, Kayode GA, Keiyoro PN, Khader YS, Khalid N, Khan EA, Khan M, Khan MN, Khatab K, Khater MM, Khatib MN, Khayamzadeh M, Khubchandani J, Kim GR, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Knibbs LD, Koul PA, Koyanagi A, Krishan K, Kumar GA, Kumar M, Kusuma D, La Vecchia C, Lacey B, Lami FH, Lan Q, Lasrado S, Lauriola P, Lee PH, Lewycka S, Li S, Machado DB, Mahasha PW, Maheri M, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mansouri B, Mansournia MA, Martinez NM, Martini S, Martins-Melo FR, Mayala BK, Mehndiratta MM, Mendoza W, Menezes RG, Mengesha EW, Meretoja TJ, Mestrovic T, Michalek IM, Mirrakhimov EM, Mirzaei M, Mirzaei R, Moazen B, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Monasta L, Moradi-Lakeh M, Moraga P, Morawska L, Mosapour A, Mouodi S, Mousavi Khaneghah A, Mukhopadhyay S, Munro SB, Murray CJL, Nagarajan AJ, Naghavi M, Nair S, Nangia V, Nascimento BR, Nazari J, Negoi I, Netsere HB, Ngunjiri JW, Nguyen HLT, Noubiap JJ, Oancea B, Ogbo FA, Oh IH, Olagunju AT, Olusanya BO, Olusanya JO, Omar Bali A, Onwujekwe OE, Otstavnov N, Otstavnov SS, Owolabi MO, P A M, Pandey A, Park EC, Park EK, Patel SK, Pham HQ, Pilgrim T, Pirsaheb M, Pokhrel KN, Postma MJ, Quazi Syed Z, Rabiee N, Radfar A, Rahim F, Rahman MHU, Rahman MA, Rahmani AM, Ranabhat CL, Rao SJ, Rasella D, Rastogi P, Rath GK, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Renzaho AMN, Reshmi B, Rezaei N, Rezaei N, Rezapour A, Rickard J, Roever L, Ronfani L, Rostamian M, Rubagotti E, Rwegerera GM, Saddik B, Sadeghi E, Saeedi Moghaddam S, Sagar R, Sahebkar A, Sahiledengle B, Salem MR, Samy AM, Santric-Milicevic MM, Saraswathy SYI, Sathian B, Sathish T, Schwebel DC, Sepanlou SG, Shahabi S, Shaheen AA, Shahid I, Shaikh MA, Shalash AS, Shams-Beyranvand M, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shetty RS, Shiferaw WS, Shigematsu M, Shin JI, Shivakumar KM, Siabani S, Siddiqi TJ, Singh BB, Singh JA, Sintayehu Y, Sorrie MB, Soyiri IN, Spurlock EE, Sreeramareddy CT, Stockfelt L, Sufiyan MB, Suliankatchi Abdulkader R, Tabarés-Seisdedos R, Tabuchi T, Taherkhani A, Temsah MH, Thankappan KR, Tovani-Palone MR, Traini E, Ullah S, Unnikrishnan B, Upadhyay E, Valadan Tahbaz S, Varughese S, Violante FS, Vo B, Vu GT, Waheed Y, Wang YP, Welgan CA, Werdecker A, Yahyazadeh Jabbari SH, Yaya S, Yazdi-Feyzabadi V, Yilma MT, Yonemoto N, Younis MZ, Yousefinezhadi T, Yu C, Yu Y, Zaman SB, Zhang Y, Zhang ZJ, Brauer M, Hay SI, Reiner RC. Mapping development and health effects of cooking with solid fuels in low-income and middle-income countries, 2000-18: a geospatial modelling study. Lancet Glob Health 2022; 10:e1395-e1411. [PMID: 36113526 PMCID: PMC9638039 DOI: 10.1016/s2214-109x(22)00332-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 06/17/2022] [Accepted: 07/21/2022] [Indexed: 01/03/2023]
Abstract
BACKGROUND More than 3 billion people do not have access to clean energy and primarily use solid fuels to cook. Use of solid fuels generates household air pollution, which was associated with more than 2 million deaths in 2019. Although local patterns in cooking vary systematically, subnational trends in use of solid fuels have yet to be comprehensively analysed. We estimated the prevalence of solid-fuel use with high spatial resolution to explore subnational inequalities, assess local progress, and assess the effects on health in low-income and middle-income countries (LMICs) without universal access to clean fuels. METHODS We did a geospatial modelling study to map the prevalence of solid-fuel use for cooking at a 5 km × 5 km resolution in 98 LMICs based on 2·1 million household observations of the primary cooking fuel used from 663 population-based household surveys over the years 2000 to 2018. We use observed temporal patterns to forecast household air pollution in 2030 and to assess the probability of attaining the Sustainable Development Goal (SDG) target indicator for clean cooking. We aligned our estimates of household air pollution to geospatial estimates of ambient air pollution to establish the risk transition occurring in LMICs. Finally, we quantified the effect of residual primary solid-fuel use for cooking on child health by doing a counterfactual risk assessment to estimate the proportion of deaths from lower respiratory tract infections in children younger than 5 years that could be associated with household air pollution. FINDINGS Although primary reliance on solid-fuel use for cooking has declined globally, it remains widespread. 593 million people live in districts where the prevalence of solid-fuel use for cooking exceeds 95%. 66% of people in LMICs live in districts that are not on track to meet the SDG target for universal access to clean energy by 2030. Household air pollution continues to be a major contributor to particulate exposure in LMICs, and rising ambient air pollution is undermining potential gains from reductions in the prevalence of solid-fuel use for cooking in many countries. We estimated that, in 2018, 205 000 (95% uncertainty interval 147 000-257 000) children younger than 5 years died from lower respiratory tract infections that could be attributed to household air pollution. INTERPRETATION Efforts to accelerate the adoption of clean cooking fuels need to be substantially increased and recalibrated to account for subnational inequalities, because there are substantial opportunities to improve air quality and avert child mortality associated with household air pollution. FUNDING Bill & Melinda Gates Foundation.
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Tran KB, Lang JJ, Compton K, Xu R, Acheson AR, Henrikson HJ, Kocarnik JM, Penberthy L, Aali A, Abbas Q, Abbasi B, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abbastabar H, Abdelmasseh M, Abd-Elsalam S, Abdelwahab AA, Abdoli G, Abdulkadir HA, Abedi A, Abegaz KH, Abidi H, Aboagye RG, Abolhassani H, Absalan A, Abtew YD, Abubaker Ali H, Abu-Gharbieh E, Achappa B, Acuna JM, Addison D, Addo IY, Adegboye OA, Adesina MA, Adnan M, Adnani QES, Advani SM, Afrin S, Afzal MS, Aggarwal M, Ahinkorah BO, Ahmad AR, Ahmad R, Ahmad S, Ahmad S, Ahmadi S, Ahmed H, Ahmed LA, Ahmed MB, Ahmed Rashid T, Aiman W, Ajami M, Akalu GT, Akbarzadeh-Khiavi M, Aklilu A, Akonde M, Akunna CJ, Al Hamad H, Alahdab F, Alanezi FM, Alanzi TM, Alessy SA, Algammal AM, Al-Hanawi MK, Alhassan RK, Ali BA, Ali L, Ali SS, Alimohamadi Y, Alipour V, Aljunid SM, Alkhayyat M, Al-Maweri SAA, Almustanyir S, Alonso N, Alqalyoobi S, Al-Raddadi RM, Al-Rifai RHH, Al-Sabah SK, Al-Tammemi AB, Altawalah H, Alvis-Guzman N, Amare F, Ameyaw EK, Aminian Dehkordi JJ, Amirzade-Iranaq MH, Amu H, Amusa GA, Ancuceanu R, Anderson JA, Animut YA, Anoushiravani A, Anoushirvani AA, Ansari-Moghaddam A, Ansha MG, Antony B, Antwi MH, Anwar SL, Anwer R, Anyasodor AE, Arabloo J, Arab-Zozani M, Aremu O, Argaw AM, Ariffin H, Aripov T, Arshad M, Artaman A, Arulappan J, Aruleba RT, Aryannejad A, Asaad M, Asemahagn MA, Asemi Z, Asghari-Jafarabadi M, Ashraf T, Assadi R, Athar M, Athari SS, Atout MMW, Attia S, Aujayeb A, Ausloos M, Avila-Burgos L, Awedew AF, Awoke MA, Awoke T, Ayala Quintanilla BP, Ayana TM, Ayen SS, Azadi D, Azadnajafabad S, Azami-Aghdash S, Azanaw MM, Azangou-Khyavy M, Azari Jafari A, Azizi H, Azzam AYY, Babajani A, Badar M, Badiye AD, Baghcheghi N, Bagheri N, Bagherieh S, Bahadory S, Baig AA, Baker JL, Bakhtiari A, Bakshi RK, Banach M, Banerjee I, Bardhan M, Barone-Adesi F, Barra F, Barrow A, Bashir NZ, Bashiri A, Basu S, Batiha AMM, Begum A, Bekele AB, Belay AS, Belete MA, Belgaumi UI, Bell AW, Belo L, Benzian H, Berhie AY, Bermudez ANC, Bernabe E, Bhagavathula AS, Bhala N, Bhandari BB, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bhojaraja VS, Bhuyan SS, Bibi S, Bilchut AH, Bintoro BS, Biondi A, Birega MGB, Birhan HE, Bjørge T, Blyuss O, Bodicha BBA, Bolla SR, Boloor A, Bosetti C, Braithwaite D, Brauer M, Brenner H, Briko AN, Briko NI, Buchanan CM, Bulamu NB, Bustamante-Teixeira MT, Butt MH, Butt NS, Butt ZA, Caetano dos Santos FL, Cámera LA, Cao C, Cao Y, Carreras G, Carvalho M, Cembranel F, Cerin E, Chakraborty PA, Charalampous P, Chattu VK, Chimed-Ochir O, Chirinos-Caceres JL, Cho DY, Cho WCS, Christopher DJ, Chu DT, Chukwu IS, Cohen AJ, Conde J, Cortés S, Costa VM, Cruz-Martins N, Culbreth GT, Dadras O, Dagnaw FT, Dahlawi SMA, Dai X, Dandona L, Dandona R, Daneshpajouhnejad P, Danielewicz A, Dao ATM, Darvishi Cheshmeh Soltani R, Darwesh AM, Das S, Davitoiu DV, Davtalab Esmaeili E, De la Hoz FP, Debela SA, Dehghan A, Demisse B, Demisse FW, Denova-Gutiérrez E, Derakhshani A, Derbew Molla M, Dereje D, Deribe KS, Desai R, Desalegn MD, Dessalegn FN, Dessalegni SAA, Dessie G, Desta AA, Dewan SMR, Dharmaratne SD, Dhimal M, Dianatinasab M, Diao N, Diaz D, Digesa LE, Dixit SG, Doaei S, Doan LP, Doku PN, Dongarwar D, dos Santos WM, Driscoll TR, Dsouza HL, Durojaiye OC, Edalati S, Eghbalian F, Ehsani-Chimeh E, Eini E, Ekholuenetale M, Ekundayo TC, Ekwueme DU, El Tantawi M, Elbahnasawy MA, Elbarazi I, Elghazaly H, Elhadi M, El-Huneidi W, Emamian MH, Engelbert Bain L, Enyew DB, Erkhembayar R, Eshetu T, Eshrati B, Eskandarieh S, Espinosa-Montero J, Etaee F, Etemadimanesh A, Eyayu T, Ezeonwumelu IJ, Ezzikouri S, Fagbamigbe AF, Fahimi S, Fakhradiyev IR, Faraon EJA, Fares J, Farmany A, Farooque U, Farrokhpour H, Fasanmi AO, Fatehizadeh A, Fatima W, Fattahi H, Fekadu G, Feleke BE, Ferrari AA, Ferrero S, Ferro Desideri L, Filip I, Fischer F, Foroumadi R, Foroutan M, Fukumoto T, Gaal PA, Gad MM, Gadanya MA, Gaipov A, Galehdar N, Gallus S, Garg T, Gaspar Fonseca M, Gebremariam YH, Gebremeskel TG, Gebremichael MA, Geda YF, Gela YY, Gemeda BNB, Getachew M, Getachew ME, Ghaffari K, Ghafourifard M, Ghamari SH, Ghasemi Nour M, Ghassemi F, Ghimire A, Ghith N, Gholamalizadeh M, Gholizadeh Navashenaq J, Ghozy S, Gilani SA, Gill PS, Ginindza TG, Gizaw ATT, Glasbey JC, Godos J, Goel A, Golechha M, Goleij P, Golinelli D, Golitaleb M, Gorini G, Goulart BNG, Grosso G, Guadie HA, Gubari MIM, Gudayu TW, Guerra MR, Gunawardane DA, Gupta B, Gupta S, Gupta VB, Gupta VK, Gurara MK, Guta A, Habibzadeh P, Haddadi Avval A, Hafezi-Nejad N, Hajj Ali A, Haj-Mirzaian A, Halboub ES, Halimi A, Halwani R, Hamadeh RR, Hameed S, Hamidi S, Hanif A, Hariri S, Harlianto NI, Haro JM, Hartono RK, Hasaballah AI, Hasan SMM, Hasani H, Hashemi SM, Hassan AM, Hassanipour S, Hayat K, Heidari G, Heidari M, Heidarymeybodi Z, Herrera-Serna BY, Herteliu C, Hezam K, Hiraike Y, Hlongwa MM, Holla R, Holm M, Horita N, Hoseini M, Hossain MM, Hossain MBH, Hosseini MS, Hosseinzadeh A, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Huang J, Hugo FN, Humayun A, Hussain S, Hussein NR, Hwang BF, Ibitoye SE, Iftikhar PM, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Immurana M, Innos K, Iranpour P, Irham LM, Islam MS, Islam RM, Islami F, Ismail NE, Isola G, Iwagami M, J LM, Jaiswal A, Jakovljevic M, Jalili M, Jalilian S, Jamshidi E, Jang SI, Jani CT, Javaheri T, Jayarajah UU, Jayaram S, Jazayeri SB, Jebai R, Jemal B, Jeong W, Jha RP, Jindal HA, John-Akinola YO, Jonas JB, Joo T, Joseph N, Joukar F, Jozwiak JJ, Jürisson M, Kabir A, Kacimi SEO, Kadashetti V, Kahe F, Kakodkar PV, Kalankesh LR, Kalankesh LR, Kalhor R, Kamal VK, Kamangar F, Kamath A, Kanchan T, Kandaswamy E, Kandel H, Kang H, Kanno GG, Kapoor N, Kar SS, Karanth SD, Karaye IM, Karch A, Karimi A, Kassa BG, Katoto PDMC, Kauppila JH, Kaur H, Kebede AG, Keikavoosi-Arani L, Kejela GG, Kemp Bohan PM, Keramati M, Keykhaei M, Khajuria H, Khan A, Khan AAK, Khan EA, Khan G, Khan MN, Khan MAB, Khanali J, Khatab K, Khatatbeh MM, Khatib MN, Khayamzadeh M, Khayat Kashani HR, Khazeei Tabari MA, Khezeli M, Khodadost M, Kim MS, Kim YJ, Kisa A, Kisa S, Klugar M, Klugarová J, Kolahi AA, Kolkhir P, Kompani F, Koul PA, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Krishnamoorthy Y, Kucuk Bicer B, Kugbey N, Kulimbet M, Kumar A, Kumar GA, Kumar N, Kurmi OP, Kuttikkattu A, La Vecchia C, Lahiri A, Lal DK, Lám J, Lan Q, Landires I, Larijani B, Lasrado S, Lau J, Lauriola P, Ledda C, Lee SW, Lee SWH, Lee WC, Lee YY, Lee YH, Legesse SM, Leigh J, Leong E, Li MC, Lim SS, Liu G, Liu J, Lo CH, Lohiya A, Lopukhov PD, Lorenzovici L, Lotfi M, Loureiro JA, Lunevicius R, Madadizadeh F, Mafi AR, Magdeldin S, Mahjoub S, Mahmoodpoor A, Mahmoudi M, Mahmoudimanesh M, Mahumud RA, Majeed A, Majidpoor J, Makki A, Makris KC, Malakan Rad E, Malekpour MR, Malekzadeh R, Malik AA, Mallhi TH, Mallya SD, Mamun MA, Manda AL, Mansour-Ghanaei F, Mansouri B, Mansournia MA, Mantovani LG, Martini S, Martorell M, Masoudi S, Masoumi SZ, Matei CN, Mathews E, Mathur MR, Mathur V, McKee M, Meena JK, Mehmood K, Mehrabi Nasab E, Mehrotra R, Melese A, Mendoza W, Menezes RG, Mengesha SID, Mensah LG, Mentis AFA, Mera-Mamián AYM, Meretoja TJ, Merid MW, Mersha AG, Meselu BT, Meshkat M, Mestrovic T, Miao Jonasson J, Miazgowski T, Michalek IM, Mijena GFW, Miller TR, Mir SA, Mirinezhad SK, Mirmoeeni S, Mirza-Aghazadeh-Attari M, Mirzaei H, Mirzaei HR, Misganaw AS, Misra S, Mohammad KA, Mohammadi E, Mohammadi M, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed A, Mohammed S, Mohan S, Mohseni M, Moka N, Mokdad AH, Molassiotis A, Molokhia M, Momenzadeh K, Momtazmanesh S, Monasta L, Mons U, Montasir AA, Montazeri F, Montero A, Moosavi MA, Moradi A, Moradi Y, Moradi Sarabi M, Moraga P, Morawska L, Morrison SD, Morze J, Mosapour A, Mostafavi E, Mousavi SM, Mousavi Isfahani H, Mousavi Khaneghah A, Mpundu-Kaambwa C, Mubarik S, Mulita F, Munblit D, Munro SB, Murillo-Zamora E, Musa J, Nabhan AF, Nagarajan AJ, Nagaraju SP, Nagel G, Naghipour M, Naimzada MD, Nair TS, Naqvi AA, Narasimha Swamy S, Narayana AI, Nassereldine H, Natto ZS, Nayak BP, Ndejjo R, Nduaguba SO, Negash WW, Nejadghaderi SA, Nejati K, Neupane Kandel S, Nguyen HVN, Niazi RK, Noor NM, Noori M, Noroozi N, Nouraei H, Nowroozi A, Nuñez-Samudio V, Nzoputam CI, Nzoputam OJ, Oancea B, Odukoya OO, Oghenetega OB, Ogunsakin RE, Oguntade AS, Oh IH, Okati-Aliabad H, Okekunle AP, Olagunju AT, Olagunju TO, Olakunde BO, Olufadewa II, Omer E, Omonisi AEE, Ong S, Onwujekwe OE, Orru H, Otstavnov SS, Oulhaj A, Oumer B, Owopetu OF, Oyinloye BE, P A M, Padron-Monedero A, Padubidri JR, Pakbin B, Pakshir K, Pakzad R, Palicz T, Pana A, Pandey A, Pandey A, Pant S, Pardhan S, Park EC, Park EK, Park S, Patel J, Pati S, Paudel R, Paudel U, Paun M, Pazoki Toroudi H, Peng M, Pereira J, Pereira RB, Perna S, Perumalsamy N, Pestell RG, Pezzani R, Piccinelli C, Pillay JD, Piracha ZZ, Pischon T, Postma MJ, Pourabhari Langroudi A, Pourshams A, Pourtaheri N, Prashant A, Qadir MMF, Quazi Syed Z, Rabiee M, Rabiee N, Radfar A, Radhakrishnan RA, Radhakrishnan V, Raeisi M, Rafiee A, Rafiei A, Raheem N, Rahim F, Rahman MO, Rahman M, Rahman MA, Rahmani AM, Rahmani S, Rahmanian V, Rajai N, Rajesh A, Ram P, Ramezanzadeh K, Rana J, Ranabhat K, Ranasinghe P, Rao CR, Rao SJ, Rashedi S, Rashidi A, Rashidi M, Rashidi MM, Ratan ZA, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Razeghinia MS, Rehman AU, Rehman IU, Reitsma MB, Renzaho AMN, Rezaei M, Rezaei N, Rezaei N, Rezaei N, Rezaei S, Rezaeian M, Rezapour A, Riad A, Rikhtegar R, Rios-Blancas M, Roberts TJ, Rohloff P, Romero-Rodríguez E, Roshandel G, Rwegerera GM, S M, Saber-Ayad MM, Saberzadeh-Ardestani B, Sabour S, Saddik B, Sadeghi E, Saeb MR, Saeed U, Safaei M, Safary A, Sahebazzamani M, Sahebkar A, Sahoo H, Sajid MR, Salari H, Salehi S, Salem MR, Salimzadeh H, Samodra YL, Samy AM, Sanabria J, Sankararaman S, Sanmarchi F, Santric-Milicevic MM, Saqib MAN, Sarveazad A, Sarvi F, Sathian B, Satpathy M, Sayegh N, Schneider IJC, Schwarzinger M, Šekerija M, Senthilkumaran S, Sepanlou SG, Seylani A, Seyoum K, Sha F, Shafaat O, Shah PA, Shahabi S, Shahid I, Shahrbaf MA, Shahsavari HR, Shaikh MA, Shaka MF, Shaker E, Shannawaz M, Sharew MMS, Sharifi A, Sharifi-Rad J, Sharma P, Shashamo BB, Sheikh A, Sheikh M, Sheikhbahaei S, Sheikhi RA, Sheikhy A, Shepherd PR, Shetty A, Shetty JK, Shetty RS, Shibuya K, Shirkoohi R, Shirzad-Aski H, Shivakumar KM, Shivalli S, Shivarov V, Shobeiri P, Shokri Varniab Z, Shorofi SA, Shrestha S, Sibhat MM, Siddappa Malleshappa SK, Sidemo NB, Silva DAS, Silva LMLR, Silva Julian G, Silvestris N, Simegn W, Singh AD, Singh A, Singh G, Singh H, Singh JA, Singh JK, Singh P, Singh S, Sinha DN, Sinke AH, Siraj MS, Sitas F, Siwal SS, Skryabin VY, Skryabina AA, Socea B, Soeberg MJ, Sofi-Mahmudi A, Solomon Y, Soltani-Zangbar MS, Song S, Song Y, Sorensen RJD, Soshnikov S, Sotoudeh H, Sowe A, Sufiyan MB, Suk R, Suleman M, Suliankatchi Abdulkader R, Sultana S, Sur D, Szócska M, Tabaeian SP, Tabarés-Seisdedos R, Tabatabaei SM, Tabuchi T, Tadbiri H, Taheri E, Taheri M, Taheri Soodejani M, Takahashi K, Talaat IM, Tampa M, Tan KK, Tat NY, Tat VY, Tavakoli A, Tavakoli A, Tehrani-Banihashemi A, Tekalegn Y, Tesfay FH, Thapar R, Thavamani A, Thoguluva Chandrasekar V, Thomas N, Thomas NK, Ticoalu JHV, Tiyuri A, Tollosa DN, Topor-Madry R, Touvier M, Tovani-Palone MR, Traini E, Tran MTN, Tripathy JP, Ukke GG, Ullah I, Ullah S, Ullah S, Unnikrishnan B, Vacante M, Vaezi M, Valadan Tahbaz S, Valdez PR, Vardavas C, Varthya SB, Vaziri S, Velazquez DZ, Veroux M, Villeneuve PJ, Violante FS, Vladimirov SK, Vlassov V, Vo B, Vu LG, Wadood AW, Waheed Y, Walde MT, Wamai RG, Wang C, Wang F, Wang N, Wang Y, Ward P, Waris A, Westerman R, Wickramasinghe ND, Woldemariam M, Woldu B, Xiao H, Xu S, Xu X, Yadav L, Yahyazadeh Jabbari SH, Yang L, Yazdanpanah F, Yeshaw Y, Yismaw Y, Yonemoto N, Younis MZ, Yousefi Z, Yousefian F, Yu C, Yu Y, Yunusa I, Zahir M, Zaki N, Zaman BA, Zangiabadian M, Zare F, Zare I, Zareshahrabadi Z, Zarrintan A, Zastrozhin MS, Zeineddine MA, Zhang D, Zhang J, Zhang Y, Zhang ZJ, Zhou L, Zodpey S, Zoladl M, Vos T, Hay SI, Force LM, Murray CJL. The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2022; 400:563-591. [PMID: 35988567 PMCID: PMC9395583 DOI: 10.1016/s0140-6736(22)01438-6] [Citation(s) in RCA: 189] [Impact Index Per Article: 94.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 05/13/2022] [Accepted: 07/28/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. METHODS The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. FINDINGS Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9-42·8] and 33·3% [25·8-42·0]). INTERPRETATION The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. FUNDING Bill & Melinda Gates Foundation.
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Charalampous P, Pallari E, Gorasso V, von der Lippe E, Devleesschauwer B, Pires SM, Plass D, Idavain J, Ngwa CH, Noguer I, Padron-Monedero A, Sarmiento R, Majdan M, Ádám B, AlKerwi A, Cilovic-Lagarija S, Clarsen B, Corso B, Cuschieri S, Dopelt K, Economou M, Fischer F, Freitas A, García-González JM, Gazzelloni F, Gkitakou A, Gulmez H, Hynds P, Isola G, Jakobsen LS, Kabir Z, Kissimova-Skarbek K, Knudsen AK, Konar NM, Ladeira C, Lassen B, Liew A, Majer M, Mechili EA, Mereke A, Monasta L, Mondello S, Morgado JN, Nena E, Ng ESW, Niranjan V, Nola IA, O'Caoimh R, Petrou P, Pinheiro V, Ortiz MR, Riva S, Samouda H, Santos JV, Santoso CMA, Milicevic MS, Skempes D, Sousa AC, Speybroeck N, Tozija F, Unim B, Uysal HB, Vaccaro FG, Varga O, Vasic M, Violante FS, Wyper GMA, Polinder S, Haagsma JA. Methodological considerations in injury burden of disease studies across Europe: a systematic literature review. BMC Public Health 2022; 22:1564. [PMID: 35978333 PMCID: PMC9382747 DOI: 10.1186/s12889-022-13925-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 08/01/2022] [Indexed: 11/10/2022] Open
Abstract
Background Calculating the disease burden due to injury is complex, as it requires many methodological choices. Until now, an overview of the methodological design choices that have been made in burden of disease (BoD) studies in injury populations is not available. The aim of this systematic literature review was to identify existing injury BoD studies undertaken across Europe and to comprehensively review the methodological design choices and assumption parameters that have been made to calculate years of life lost (YLL) and years lived with disability (YLD) in these studies. Methods We searched EMBASE, MEDLINE, Cochrane Central, Google Scholar, and Web of Science, and the grey literature supplemented by handsearching, for BoD studies. We included injury BoD studies that quantified the BoD expressed in YLL, YLD, and disability-adjusted life years (DALY) in countries within the European Region between early-1990 and mid-2021. Results We retrieved 2,914 results of which 48 performed an injury-specific BoD assessment. Single-country independent and Global Burden of Disease (GBD)-linked injury BoD studies were performed in 11 European countries. Approximately 79% of injury BoD studies reported the BoD by external cause-of-injury. Most independent studies used the incidence-based approach to calculate YLDs. About half of the injury disease burden studies applied disability weights (DWs) developed by the GBD study. Almost all independent injury studies have determined YLL using national life tables. Conclusions Considerable methodological variation across independent injury BoD assessments was observed; differences were mainly apparent in the design choices and assumption parameters towards injury YLD calculations, implementation of DWs, and the choice of life table for YLL calculations. Development and use of guidelines for performing and reporting of injury BoD studies is crucial to enhance transparency and comparability of injury BoD estimates across Europe and beyond. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13925-z.
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Affiliation(s)
- Periklis Charalampous
- Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
| | - Elena Pallari
- Health Innovation Network, Minerva House, Montague Close, London, UK
| | - Vanessa Gorasso
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium.,Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Elena von der Lippe
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Brecht Devleesschauwer
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium.,Department of Translational Physiology, Infectiology and Public Health, Ghent University, Merelbeke, Belgium
| | - Sara M Pires
- National Food Institute, Technical University of Denmark, Lyngby, Denmark
| | - Dietrich Plass
- Department for Exposure Assessment, and Environmental Health Indicators, German Environment Agency, Berlin, Germany
| | - Jane Idavain
- Department of Health Statistics, National Institute for Health Development, Tallinn, Estonia
| | - Che Henry Ngwa
- School of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | - Isabel Noguer
- National School of Public Health, Carlos III Institute of Health, Madrid, Spain
| | | | - Rodrigo Sarmiento
- National School of Public Health, Carlos III Institute of Health, Madrid, Spain.,Medicine School, University of Applied and Environmental Sciences, Bogota, Colombia
| | - Marek Majdan
- Department of Public Health, Faculty of Health Sciences and Social Work, Trnava University, Trnava, Slovakia
| | - Balázs Ádám
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.,Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Ala'a AlKerwi
- Directorate of Health, Service Epidemiology and Statistics, Luxembourg, Luxembourg
| | | | - Benjamin Clarsen
- Sports Trauma Research Center, Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.,Department of Disease Burden, Norwegian Institute of Public Health, Bergen, Norway.,Department of Health and Functioning, Faculty of Health and Social Sciences, Western Norway University of Applied Sciences, Bergen, Norway
| | - Barbara Corso
- Institute of Neuroscience, National Research Council, Rome, Italy
| | - Sarah Cuschieri
- Department of Anatomy, Faculty of Medicine and Surgery, University of Malta, Msida, Malta
| | - Keren Dopelt
- Department of Public Health, Ashkelon Academic College, Ashkelon, Israel.,Department of Health Policy and Management, School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Mary Economou
- Department of Nursing, School of Health Sciences, Cyprus University of Technology, Limassol, Cyprus
| | - Florian Fischer
- Institute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Alberto Freitas
- CINTESIS - Center for Health Technology and Services Research, Faculty of Medicine, University of Porto, Porto, Portugal.,Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal
| | | | | | - Artemis Gkitakou
- Department of Internal Medicine and Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Hakan Gulmez
- Department of Family Medicine, Faculty of Medicine, İzmir Democracy University, Izmir, Turkey
| | - Paul Hynds
- Environmental Sustainability and Health Institute, Technological University Dublin, Dublin, Ireland
| | - Gaetano Isola
- Department of General Surgery and Surgical-Medical Specialties, School of Dentistry, University of Catania, Catania, Italy
| | - Lea S Jakobsen
- National Food Institute, Technical University of Denmark, Lyngby, Denmark
| | - Zubair Kabir
- Public Health & Epidemiology, School of Public Health, University College Cork, Cork, Ireland
| | - Katarzyna Kissimova-Skarbek
- Department of Health Economics and Social Security, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Ann Kristin Knudsen
- Department of Disease Burden, Norwegian Institute of Public Health, Bergen, Norway
| | - Naime Meriç Konar
- Department of Biostatistics and Medical Informatics, Faculty of Medicine, Kirsehir Ahi Evran University, Kirsehir, Turkey
| | - Carina Ladeira
- H&TRC - Health & Technology Research Center, Escola Superior de Tecnologia da Saúde (ESTeSL), Instituto Politécnico de Lisboa, Lisbon, Portugal.,Comprehensive Health Research Centre (CHRC), Universidade NOVA de Lisboa, Lisbon, Portugal
| | - Brian Lassen
- National Food Institute, Technical University of Denmark, Lyngby, Denmark
| | - Aaron Liew
- Clinical Sciences Institute, School of Medicine, National University of Ireland, Galway, Galway City, Ireland
| | - Marjeta Majer
- Andrija Štampar School of Public Health, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Enkeleint A Mechili
- Clinic of Social and Family Medicine, School of Medicine, University of Crete, Crete, Greece.,Department of Healthcare, Faculty of Public Health, University of Vlora, Vlora, Albania
| | - Alibek Mereke
- Al-Farabi Kazakh National University, Almaty, Kazakhstan
| | - Lorenzo Monasta
- Institute of Maternal, Child Health - IRCCS Burlo Garofolo, Trieste, Italy
| | - Stefania Mondello
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Joana Nazaré Morgado
- Environmental Health and Nutrition Laboratory, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Evangelia Nena
- Laboratory of Social Medicine, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | | | - Vikram Niranjan
- School of Public Health, Physiotherapy and Sport Sciences, University College Dublin, Dublin, Ireland
| | - Iskra Alexandra Nola
- Andrija Štampar School of Public Health, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Rónán O'Caoimh
- Department of Geriatric Medicine, Mercy University Hospital, Grenville Place, Cork City, Ireland
| | - Panagiotis Petrou
- Pharmacoepidemiology-Pharmacovigilance, Pharmacy School, School of Sciences and Engineering, University of Nicosia, Nicosia, Cyprus
| | - Vera Pinheiro
- CINTESIS - Center for Health Technology and Services Research, Faculty of Medicine, University of Porto, Porto, Portugal
| | | | - Silvia Riva
- Department of Psychology and Pedagogic Science, St Mary's University, London, UK
| | - Hanen Samouda
- Population Health Department, Luxembourg Institute of Health, Nutrition and Health Research Group, Luxembourg, Luxembourg
| | - João Vasco Santos
- CINTESIS - Center for Health Technology and Services Research, Faculty of Medicine, University of Porto, Porto, Portugal.,Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal.,Public Health Unit, ACES Grande Porto VIII - Espinho/Gaia, ARS Norte, Lisbon, Portugal
| | | | | | | | - Ana Catarina Sousa
- Department of Biology, School of Science and Technology, University of Évora, Évora, Portugal.,Comprehensive Health Research Centre (CHRC), University of Évora, Évora, Portugal
| | - Niko Speybroeck
- Institute of Health and Society (IRSS), Université Catholique de Louvain, Brussels, Belgium
| | - Fimka Tozija
- Institute of Public Health of Republic of North Macedonia, Saints Cyril and Methodius University of Skopje, Skopje, North Macedonia.,Faculty of Medicine, Saints Cyril and Methodius University of Skopje, Skopje, North Macedonia
| | - Brigid Unim
- Department of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Istituto Superiore Di Sanità, Rome, Italy
| | - Hilal Bektaş Uysal
- Department of Internal Medicine, Adnan Menderes University School of Medicine, Aydin, Turkey
| | | | - Orsolya Varga
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Milena Vasic
- Faculty of Dentistry Pancevo, University Business Academy in Novi Sad, Pancevo, Serbia.,Institute of Public Health of Serbia Dr Milan Jovanović Batut, Belgrade, Serbia
| | - Francesco Saverio Violante
- Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy.,Unit of Occupational Medicine, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Grant M A Wyper
- Place and Wellbeing Directorate, Public Health Scotland, Glasgow, Scotland, UK
| | - Suzanne Polinder
- Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Juanita A Haagsma
- Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands
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Peruch M, Toscani P, Grassi N, Zamagni G, Monasta L, Radaelli D, Livieri T, Manfredi A, D'Errico S. Did Italy Really Need Compulsory Vaccination against COVID-19 for Healthcare Workers? Results of a Survey in a Centre for Maternal and Child Health. Vaccines (Basel) 2022; 10:1293. [PMID: 36016179 PMCID: PMC9414650 DOI: 10.3390/vaccines10081293] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 07/29/2022] [Accepted: 08/06/2022] [Indexed: 12/16/2022] Open
Abstract
Since its early spread, the COVID-19 pandemic has become a health threat globally. Due to their crucial role in the pandemic, Italy declared compulsory vaccination for healthcare workers. Vaccine hesitancy was observed among the healthcare workers and an ethical debate arose about Italian legal statement D.L. n. 44/2021. In this article, we present the results of a survey performed in an Italian center for maternal and infant care and assess the attitudes towards the COVID-19 pandemic and the mandatory COVID-19 vaccination of healthcare workers. Since March 2022, 91.5% of healthcare workers have been vaccinated with an additional dose. Only 2.3% of the respondents refused to take vaccination: the reasons behind this refusal were distrust, doubts over safety, and lack of information. Despite the high rate of response to vaccination, 17.7% of HCWs did not agree with its mandatory nature. In addition, 5.4% stated that they agreed to be vaccinated exclusively because of the sanctions provided for by the legislation. In conclusion, adequate vaccination coverage has been achieved in the hospital under consideration. However, it is still very important to continue to persuade HCWs of vaccine efficacy and safety, considering their social role.
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Affiliation(s)
- Michela Peruch
- Department of Medical Surgical and Health Sciences, University of Trieste, 34149 Trieste, Italy
| | - Paola Toscani
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, 34137 Trieste, Italy
| | - Nicoletta Grassi
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, 34137 Trieste, Italy
| | - Giulia Zamagni
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, 34137 Trieste, Italy
| | - Lorenzo Monasta
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, 34137 Trieste, Italy
| | - Davide Radaelli
- Department of Medical Surgical and Health Sciences, University of Trieste, 34149 Trieste, Italy
| | - Tommaso Livieri
- Department of Medical Surgical and Health Sciences, University of Trieste, 34149 Trieste, Italy
| | - Alessandro Manfredi
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, 34137 Trieste, Italy
| | - Stefano D'Errico
- Department of Medical Surgical and Health Sciences, University of Trieste, 34149 Trieste, Italy
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39
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Ura B, Capaci V, Aloisio M, Di Lorenzo G, Romano F, Ricci G, Monasta L. A Targeted Proteomics Approach for Screening Serum Biomarkers Observed in the Early Stage of Type I Endometrial Cancer. Biomedicines 2022; 10:biomedicines10081857. [PMID: 36009404 PMCID: PMC9405144 DOI: 10.3390/biomedicines10081857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 07/22/2022] [Accepted: 07/28/2022] [Indexed: 11/16/2022] Open
Abstract
Endometrial cancer (EC) is the most common gynecologic malignancy, and it arises in the inner part of the uterus. Identification of serum biomarkers is essential for diagnosing the disease at an early stage. In this study, we selected 44 healthy controls and 44 type I EC at tumor stage 1, and we used the Immuno-oncology panel and the Target 96 Oncology III panel to simultaneously detect the levels of 92 cancer-related proteins in serum, using a proximity extension assay. By applying this methodology, we identified 20 proteins, associated with the outcome at binary logistic regression, with a p-value below 0.01 for the first panel and 24 proteins with a p-value below 0.02 for the second one. The final multivariate logistic regression model, combining proteins from the two panels, generated a model with a sensitivity of 97.67% and a specificity of 83.72%. These results support the use of the proposed algorithm after a validation phase.
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Affiliation(s)
- Blendi Ura
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (G.D.L.); (F.R.); (G.R.); (L.M.)
- Correspondence:
| | - Valeria Capaci
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (G.D.L.); (F.R.); (G.R.); (L.M.)
| | - Michelangelo Aloisio
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (G.D.L.); (F.R.); (G.R.); (L.M.)
| | - Giovanni Di Lorenzo
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (G.D.L.); (F.R.); (G.R.); (L.M.)
| | - Federico Romano
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (G.D.L.); (F.R.); (G.R.); (L.M.)
| | - Giuseppe Ricci
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (G.D.L.); (F.R.); (G.R.); (L.M.)
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34129 Trieste, Italy
| | - Lorenzo Monasta
- Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 34137 Trieste, Italy; (V.C.); (M.A.); (G.D.L.); (F.R.); (G.R.); (L.M.)
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Sharma R, Abbasi-Kangevari M, Abd-Rabu R, Abidi H, Abu-Gharbieh E, Acuna JM, Adhikari S, Advani SM, Afzal MS, Aghaie Meybodi M, Ahinkorah BO, Ahmad S, Ahmadi A, Ahmadi S, Ahmed H, Ahmed LA, Ahmed MB, Al Hamad H, Alahdab F, Alanezi FM, Alanzi TM, Alhalaiqa FAN, Alimohamadi Y, Alipour V, Aljunid SM, Alkhayyat M, Almustanyir S, Al-Raddadi RM, Alvand S, Alvis-Guzman N, Amini S, Ancuceanu R, Anoushiravani A, Anoushirvani AA, Ansari-Moghaddam A, Arabloo J, Aryannejad A, Asghari Jafarabadi M, Athari SS, Ausloos F, Ausloos M, Awedew AF, Awoke MA, Ayana TM, Azadnajafabad S, Azami H, Azangou-Khyavy M, Azari Jafari A, Badiye AD, Bagherieh S, Bahadory S, Baig AA, Baker JL, Banach M, Barrow A, Berhie AY, Besharat S, Bhagat DS, Bhagavathula AS, Bhala N, Bhattacharyya K, Bhojaraja VS, Bibi S, Bijani A, Biondi A, Bjørge T, Bodicha BBA, Braithwaite D, Brenner H, Calina D, Cao C, Cao Y, Carreras G, Carvalho F, Cerin E, Chakinala RC, Cho WCS, Chu DT, Conde J, Costa VM, Cruz-Martins N, Dadras O, Dai X, Dandona L, Dandona R, Danielewicz A, Demeke FM, Demissie GD, Desai R, Dhamnetiya D, Dianatinasab M, Diaz D, Didehdar M, Doaei S, Doan LP, Dodangeh M, Eghbalian F, Ejeta DD, Ekholuenetale M, Ekundayo TC, El Sayed I, Elhadi M, Enyew DB, Eyayu T, Ezzeddini R, Fakhradiyev IR, Farooque U, Farrokhpour H, Farzadfar F, Fatehizadeh A, Fattahi H, Fattahi N, Fereidoonnezhad M, Fernandes E, Fetensa G, Filip I, Fischer F, Foroutan M, Gaal PA, Gad MM, Gallus S, Garg T, Getachew T, Ghamari SH, Ghashghaee A, Ghith N, Gholamalizadeh M, Gholizadeh Navashenaq J, Gizaw AT, Glasbey JC, Golechha M, Goleij P, Gonfa KB, Gorini G, Guha A, Gupta S, Gupta VB, Gupta VK, Haddadi R, Hafezi-Nejad N, Haj-Mirzaian A, Halwani R, Haque S, Hariri S, Hasaballah AI, Hassanipour S, Hay SI, Herteliu C, Holla R, Hosseini MS, Hosseinzadeh M, Hostiuc M, Househ M, Huang J, Humayun A, Iavicoli I, Ilesanmi OS, Ilic IM, Ilic MD, Islami F, Iwagami M, Jahani MA, Jakovljevic M, Javaheri T, Jayawardena R, Jebai R, Jha RP, Joo T, Joseph N, Joukar F, Jozwiak JJ, Kabir A, Kalhor R, Kamath A, Kapoor N, Karaye IM, Karimi A, Kauppila JH, Kazemi A, Keykhaei M, Khader YS, Khajuria H, Khalilov R, Khanali J, Khayamzadeh M, Khodadost M, Kim H, Kim MS, Kisa A, Kisa S, Kolahi AA, Koohestani HR, Kopec JA, Koteeswaran R, Koyanagi A, Krishnamoorthy Y, Kumar GA, Kumar M, Kumar V, La Vecchia C, Lami FH, Landires I, Ledda C, Lee SW, Lee WC, Lee YY, Leong E, Li B, Lim SS, Lobo SW, Loureiro JA, Lunevicius R, Madadizadeh F, Mahmoodpoor A, Majeed A, Malekpour MR, Malekzadeh R, Malik AA, Mansour-Ghanaei F, Mantovani LG, Martorell M, Masoudi S, Mathur P, Meena JK, Mehrabi Nasab E, Mendoza W, Mentis AFA, Mestrovic T, Miao Jonasson J, Miazgowski B, Miazgowski T, Mijena GFW, Mirmoeeni S, Mirza-Aghazadeh-Attari M, Mirzaei H, Misra S, Mohammad KA, Mohammadi E, Mohammadi S, Mohammadi SM, Mohammadian-Hafshejani A, Mohammed S, Mohammed TA, Moka N, Mokdad AH, Mokhtari Z, Molokhia M, Momtazmanesh S, Monasta L, Moradi G, Moradzadeh R, Moraga P, Morgado-da-Costa J, Mubarik S, Mulita F, Naghavi M, Naimzada MD, Nam HS, Natto ZS, Nayak BP, Nazari J, Nazemalhosseini-Mojarad E, Negoi I, Nguyen CT, Nguyen SH, Noor NM, Noori M, Noori SMA, Nuñez-Samudio V, Nzoputam CI, Oancea B, Odukoya OO, Oguntade AS, Okati-Aliabad H, Olagunju AT, Olagunju TO, Ong S, Ostroff SM, Padron-Monedero A, Pakzad R, Pana A, Pandey A, Pashazadeh Kan F, Patel UK, Paudel U, Pereira RB, Perumalsamy N, Pestell RG, Piracha ZZ, Pollok RCG, Pourshams A, Pourtaheri N, Prashant A, Rabiee M, Rabiee N, Radfar A, Rafiei S, Rahman M, Rahmani AM, Rahmanian V, Rajai N, Rajesh A, Ramezani-Doroh V, Ramezanzadeh K, Ranabhat K, Rashedi S, Rashidi A, Rashidi M, Rashidi MM, Rastegar M, Rawaf DL, Rawaf S, Rawassizadeh R, Razeghinia MS, Renzaho AMN, Rezaei N, Rezaei N, Rezaei S, Rezaeian M, Rezazadeh-Khadem S, Roshandel G, Saber-Ayad MM, Saberzadeh-Ardestani B, Saddik B, Sadeghi H, Saeed U, Sahebazzamani M, Sahebkar A, Salek Farrokhi A, Salimi A, Salimzadeh H, Samadi P, Samaei M, Samy AM, Sanabria J, Santric-Milicevic MM, Saqib MAN, Sarveazad A, Sathian B, Satpathy M, Schneider IJC, Šekerija M, Sepanlou SG, Seylani A, Sha F, Shafiee SM, Shaghaghi Z, Shahabi S, Shaker E, Sharifian M, Sharifi-Rad J, Sheikhbahaei S, Shetty JK, Shirkoohi R, Shobeiri P, Siddappa Malleshappa SK, Silva DAS, Silva Julian G, Singh AD, Singh JA, Siraj MS, Sivandzadeh GR, Skryabin VY, Skryabina AA, Socea B, Solmi M, Soltani-Zangbar MS, Song S, Szerencsés V, Szócska M, Tabarés-Seisdedos R, Tabibian E, Taheri M, TaheriAbkenar Y, Taherkhani A, Talaat IM, Tan KK, Tbakhi A, Tesfaye B, Tiyuri A, Tollosa DN, Touvier M, Tran BX, Tusa BS, Ullah I, Ullah S, Vacante M, Valadan Tahbaz S, Veroux M, Vo B, Vos T, Wang C, Westerman R, Woldemariam M, Yahyazadeh Jabbari SH, Yang L, Yazdanpanah F, Yu C, Yuce D, Yunusa I, Zadnik V, Zahir M, Zare I, Zhang ZJ, Zoladl M. Global, regional, and national burden of colorectal cancer and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Gastroenterol Hepatol 2022; 7:627-647. [PMID: 35397795 PMCID: PMC9192760 DOI: 10.1016/s2468-1253(22)00044-9] [Citation(s) in RCA: 157] [Impact Index Per Article: 78.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 01/30/2022] [Accepted: 02/04/2022] [Indexed: 12/03/2022]
Abstract
BACKGROUND Colorectal cancer is the third leading cause of cancer deaths worldwide. Given the recent increasing trends in colorectal cancer incidence globally, up-to-date information on the colorectal cancer burden could guide screening, early detection, and treatment strategies, and help effectively allocate resources. We examined the temporal patterns of the global, regional, and national burden of colorectal cancer and its risk factors in 204 countries and territories across the past three decades. METHODS Estimates of incidence, mortality, and disability-adjusted life years (DALYs) for colorectal cancer were generated as a part of the Global Burden of Diseases, Injuries and Risk Factors Study (GBD) 2019 by age, sex, and geographical location for the period 1990-2019. Mortality estimates were produced using the cause of death ensemble model. We also calculated DALYs attributable to risk factors that had evidence of causation with colorectal cancer. FINDINGS Globally, between 1990 and 2019, colorectal cancer incident cases more than doubled, from 842 098 (95% uncertainty interval [UI] 810 408-868 574) to 2·17 million (2·00-2·34), and deaths increased from 518 126 (493 682-537 877) to 1·09 million (1·02-1·15). The global age-standardised incidence rate increased from 22·2 (95% UI 21·3-23·0) per 100 000 to 26·7 (24·6-28·9) per 100 000, whereas the age-standardised mortality rate decreased from 14·3 (13·5-14·9) per 100 000 to 13·7 (12·6-14·5) per 100 000 and the age-standardised DALY rate decreased from 308·5 (294·7-320·7) per 100 000 to 295·5 (275·2-313·0) per 100 000 from 1990 through 2019. Taiwan (province of China; 62·0 [48·9-80·0] per 100 000), Monaco (60·7 [48·5-73·6] per 100 000), and Andorra (56·6 [42·8-71·9] per 100 000) had the highest age-standardised incidence rates, while Greenland (31·4 [26·0-37·1] per 100 000), Brunei (30·3 [26·6-34·1] per 100 000), and Hungary (28·6 [23·6-34·0] per 100 000) had the highest age-standardised mortality rates. From 1990 through 2019, a substantial rise in incidence rates was observed in younger adults (age <50 years), particularly in high Socio-demographic Index (SDI) countries. Globally, a diet low in milk (15·6%), smoking (13·3%), a diet low in calcium (12·9%), and alcohol use (9·9%) were the main contributors to colorectal cancer DALYs in 2019. INTERPRETATION The increase in incidence rates in people younger than 50 years requires vigilance from researchers, clinicians, and policy makers and a possible reconsideration of screening guidelines. The fast-rising burden in low SDI and middle SDI countries in Asia and Africa calls for colorectal cancer prevention approaches, greater awareness, and cost-effective screening and therapeutic options in these regions. FUNDING Bill & Melinda Gates Foundation.
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Burkart K, Causey K, Cohen AJ, Wozniak SS, Salvi DD, Abbafati C, Adekanmbi V, Adsuar JC, Ahmadi K, Alahdab F, Al-Aly Z, Alipour V, Alvis-Guzman N, Amegah AK, Andrei CL, Andrei T, Ansari F, Arabloo J, Aremu O, Aripov T, Babaee E, Banach M, Barnett A, Bärnighausen TW, Bedi N, Behzadifar M, Béjot Y, Bennett DA, Bensenor IM, Bernstein RS, Bhattacharyya K, Bijani A, Biondi A, Bohlouli S, Breitner S, Brenner H, Butt ZA, Cámera LA, Cantu-Brito C, Carvalho F, Cerin E, Chattu VK, Chauhan BG, Choi JYJ, Chu DT, Dai X, Dandona L, Dandona R, Daryani A, Davletov K, de Courten B, Demeke FM, Denova-Gutiérrez E, Dharmaratne SD, Dhimal M, Diaz D, Djalalinia S, Duncan BB, El Sayed Zaki M, Eskandarieh S, Fareed M, Farzadfar F, Fattahi N, Fazlzadeh M, Fernandes E, Filip I, Fischer F, Foigt NA, Freitas M, Ghashghaee A, Gill PS, Ginawi IA, Gopalani SV, Guo Y, Gupta RD, Habtewold TD, Hamadeh RR, Hamidi S, Hankey GJ, Hasanpoor E, Hassen HY, Hay SI, Heibati B, Hole MK, Hossain N, Househ M, Irvani SSN, Jaafari J, Jakovljevic M, Jha RP, Jonas JB, Jozwiak JJ, Kasaeian A, Kaydi N, Khader YS, Khafaie MA, Khan EA, Khan J, Khan MN, Khatab K, Khater AM, Kim YJ, Kimokoti RW, Kisa A, Kivimäki M, Knibbs LD, Kosen S, Koul PA, Koyanagi A, Kuate Defo B, Kugbey N, Lauriola P, Lee PH, Leili M, Lewycka S, Li S, Lim LL, Linn S, Liu Y, Lorkowski S, Mahasha PW, Mahotra NB, Majeed A, Maleki A, Malekzadeh R, Mamun AA, Manafi N, Martini S, Meharie BG, Menezes RG, Mestrovic T, Miazgowski B, Miazgowski T, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Mohajer B, Mohammed S, Mohan V, Mokdad AH, Monasta L, Moraga P, Morrison SD, Mueller UO, Mukhopadhyay S, Mustafa G, Muthupandian S, Naik G, Nangia V, Ndwandwe DE, Negoi RI, Ningrum DNA, Noubiap JJ, Ogbo FA, Olagunju AT, Onwujekwe OE, Ortiz A, Owolabi MO, P A M, Panda-Jonas S, Park EK, Pashazadeh Kan F, Pirsaheb M, Postma MJ, Pourjafar H, Radfar A, Rafiei A, Rahim F, Rahimi-Movaghar V, Rahman MA, Rai RK, Ranabhat CL, Raoofi S, Rawal L, Renzaho AMN, Rezapour A, Ribeiro D, Roever L, Ronfani L, Sabour S, Saddik B, Sadeghi E, Saeedi Moghaddam S, Sahebkar A, Sahraian MA, Salimzadeh H, Salvi SS, Samy AM, Sanabria J, Sarmiento-Suárez R, Sathish T, Schmidt MI, Schutte AE, Sepanlou SG, Shaikh MA, Sharafi K, Sheikh A, Shigematsu M, Shiri R, Shirkoohi R, Shuval K, Soyiri IN, Tabarés-Seisdedos R, Tefera YM, Tehrani-Banihashemi A, Temsah MH, Thankappan KR, Topor-Madry R, Tudor Car L, Ullah I, Vacante M, Valdez PR, Vasankari TJ, Violante FS, Waheed Y, Wolfe CDA, Yamada T, Yonemoto N, Yu C, Zaman SB, Zhang Y, Zodpey S, Lim SS, Stanaway JD, Brauer M. Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM 2·5 air pollution, 1990-2019: an analysis of data from the Global Burden of Disease Study 2019. Lancet Planet Health 2022; 6:e586-e600. [PMID: 35809588 PMCID: PMC9278144 DOI: 10.1016/s2542-5196(22)00122-x] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 05/09/2022] [Accepted: 05/12/2022] [Indexed: 05/17/2023]
Abstract
BACKGROUND Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution. METHODS We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure-response curve from the extracted relative risk estimates using the MR-BRT (meta-regression-Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. FINDINGS In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68-4·83) deaths per 100 000 population and 167 (117-223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49-17·5) of deaths and 13·6% (9·73-17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22-9·53) of deaths and 5·92% (3·81-8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South America. Since 1990, the attributable burden has increased by 50%, driven largely by population growth and ageing. Globally, the impact of reductions in household air pollution was largely offset by increased ambient PM2·5. INTERPRETATION Air pollution is a major risk factor for diabetes. We estimated that about a fifth of the global burden of type 2 diabetes is attributable PM2·5 pollution. Air pollution mitigation therefore might have an essential role in reducing the global disease burden resulting from type 2 diabetes. FUNDING Bill & Melinda Gates Foundation.
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Ussai S, Pistis M, Missoni E, Formenti B, Armocida B, Pedrazzi T, Castelli F, Monasta L, Lauria B, Mariani I. "Immuni" and the National Health System: Lessons Learnt from the COVID-19 Digital Contact Tracing in Italy. Int J Environ Res Public Health 2022; 19:ijerph19127529. [PMID: 35742778 PMCID: PMC9223529 DOI: 10.3390/ijerph19127529] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 06/07/2022] [Accepted: 06/09/2022] [Indexed: 11/16/2022]
Abstract
Since the early stage of the current pandemic, digital contact tracing (DCT) through mobile phone apps, called “Immuni”, has been introduced to complement manual contact tracing in Italy. Until 31 December 2021, Immuni identified 44,880 COVID-19 cases, which corresponds to less than 1% of total COVID-19 cases reported in Italy in the same period (5,886,411). Overall, Immuni generated 143,956 notifications. Although the initial download of the Immuni app represented an early interest in the new tool, Immuni has had little adoption across the Italian population, and the recent increase in its download is likely to be related to the mandatory Green Pass certification for conducting most daily activities that can be obtained via the application. Therefore, Immuni failed as a support tool for the contact tracing system. Other European experiences seem to show similar limitations in the use of DTC, leaving open questions about its effectiveness, although in theory, contact tracing could allow useful means of “proximity tracking”.
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Affiliation(s)
- Silvia Ussai
- Clinical Pharmacology and Toxicology, University of Cagliari, 09124 Cagliari, Italy
- Correspondence:
| | - Marco Pistis
- Section of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, 09124 Cagliari, Italy;
| | - Eduardo Missoni
- Center for Research on Health and Social Care Management (CERGAS), Bocconi University, 20124 Milan, Italy;
- Saluteglobale.it Associazione di Promozione Sociale, 25123 Brescia, Italy
| | - Beatrice Formenti
- Department of Infectious and Tropical Diseases, University of Brescia and ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (B.F.); (F.C.)
| | - Benedetta Armocida
- Istituto Superiore di Sanità, Department of Cardiovascular, Endocrine-Metabolic Diseases and Ageing, 00161 Rome, Italy;
| | - Tatiana Pedrazzi
- Department of Occupational Medicine, Hygiene, Toxicology and Occupational Prevention, University of Brescia and ASST Spedali Civili of Brescia, 25123 Brescia, Italy;
| | - Francesco Castelli
- Department of Infectious and Tropical Diseases, University of Brescia and ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (B.F.); (F.C.)
| | - Lorenzo Monasta
- Clinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, Trieste, Italy;
| | | | - Ilaria Mariani
- WHO Collaborating Centre, Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, 34137 Trieste, Italy;
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Armocida B, Monasta L, Sawyer S, Bustreo F, Segafredo G, Castelpietra G, Ronfani L, Pasovic M, Hay S, Perel P, Beran D, Monasta L, Sawyer SM, Bustreo F, Segafredo G, Castelpietra G, Ronfani L, Pasovic M, Hay SI, Abila DB, Abolhassani H, Accrombessi MMK, Adekanmbi V, Ahmadi K, Al Hamad H, Aldeyab MA, Al-Jumaily A, Ancuceanu R, Andrei CL, Andrei T, Arumugam A, Attia S, Aujayeb A, Ausloos M, Baker JL, Barone-Adesi F, Barra F, Barteit S, Basu S, Baune BT, Béjot Y, Belo L, Bennett DA, Bikbov B, Bikov A, Blyuss O, Breitner S, Brenner H, Carreras G, Carvalho M, Catapano AL, Chandan JS, Charalampous P, Chen S, Conde J, Cruz-Martins N, Damiani G, Dastiridou A, de la Torre-Luque A, Dianatinasab M, Dias da Silva D, Douiri A, Dragioti E, Engelbert Bain L, Fagbamigbe AF, Fereshtehnejad SM, Ferrara P, Ferreira de Oliveira JMP, Ferrero S, Ferro Desideri L, Fischer F, Fonseca DA, Gaewkhiew P, Gaihre S, Gallus S, Gaspar Fonseca M, Gill PS, Glasbey JC, Gorini G, Gupta VK, Gurara MK, Haro JM, Hasan MT, Havmoeller RJ, Heibati B, Hellemons ME, Herteliu C, Hussain S, Isola G, Johnson O, Jonas JB, Jozwiak JJ, Jürisson M, Kabir Z, Karch A, Kauppila JH, Kayode GA, Khan MAB, Khatab K, Kivimäki M, Klugar M, Klugarová J, Koly KN, Koyanagi A, Kurmi OP, Kusuma D, La Vecchia C, Lacey B, Lallukka T, Lamnisos D, Langguth B, Larsson AO, Lauriola P, Lee PH, Leonardi M, Li A, Linehan C, López-Bueno R, Lorkowski S, Loureiro JA, Lunevicius R, Magee LA, Magnani FG, Majeed A, Makris KC, Mathioudakis AG, Mathur MR, McGrath JJ, Menezes RG, Mentis AFA, Meretoja A, Mestrovic T, Miao Jonasson J, Miazgowski T, Mirica A, Moccia M, Mohammed S, Molokhia M, Mondello S, Mueller UO, Mulita F, Munblit D, Negoi I, Negoi RI, Nena E, Noor NM, Nowak C, Ntaios G, Nwatah VE, Oancea B, Oguntade AS, Ortiz A, Otoiu A, Padron-Monedero A, Palladino R, Pana A, Panagiotakos D, Panda-Jonas S, Pardhan S, Patel J, Pedersini P, Peñalvo JL, Pensato U, Pereira RB, Perico N, Petcu IR, Polinder S, Postma MJ, Rabiee M, Rabiee N, Raggi A, Rahimzadeh S, Rawaf DL, Rawaf S, Rehman FU, Remuzzi G, Riad A, Rodriguez A, Sacco S, Saeb MR, Safdarian M, Sathian B, Sattin D, Saxena S, Scarmeas N, Schlee W, Schwendicke F, Shamsizadeh M, Sharew NT, Shiri R, Shivalli S, Shivarov V, Silva JP, Simpson CR, Skou ST, Socea B, Soyiri IN, Steiropoulos P, Straif K, Sun X, Tabarés-Seisdedos R, Thiyagarajan A, Topouzis F, Tovani-Palone MR, Truelsen TC, Unim B, Van den Eynde J, Vasankari TJ, Veroux M, Villafaina S, Vinko M, Violante FS, Volovici V, Wang Y, Westerman R, Yadegarfar ME, Yaya S, Zadnik V, Zumla A, Perel P, Beran D. Burden of non-communicable diseases among adolescents aged 10-24 years in the EU, 1990-2019: a systematic analysis of the Global Burden of Diseases Study 2019. Lancet Child Adolesc Health 2022; 6:367-383. [PMID: 35339209 PMCID: PMC9090900 DOI: 10.1016/s2352-4642(22)00073-6] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/20/2022] [Accepted: 02/28/2022] [Indexed: 12/11/2022]
Abstract
BACKGROUND Disability and mortality burden of non-communicable diseases (NCDs) have risen worldwide; however, the NCD burden among adolescents remains poorly described in the EU. METHODS Estimates were retrieved from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Causes of NCDs were analysed at three different levels of the GBD 2019 hierarchy, for which mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) were extracted. Estimates, with the 95% uncertainty intervals (UI), were retrieved for EU Member States from 1990 to 2019, three age subgroups (10-14 years, 15-19 years, and 20-24 years), and by sex. Spearman's correlation was conducted between DALY rates for NCDs and the Socio-demographic Index (SDI) of each EU Member State. FINDINGS In 2019, NCDs accounted for 86·4% (95% uncertainty interval 83·5-88·8) of all YLDs and 38·8% (37·4-39·8) of total deaths in adolescents aged 10-24 years. For NCDs in this age group, neoplasms were the leading causes of both mortality (4·01 [95% uncertainty interval 3·62-4·25] per 100 000 population) and YLLs (281·78 [254·25-298·92] per 100 000 population), whereas mental disorders were the leading cause for YLDs (2039·36 [1432·56-2773·47] per 100 000 population) and DALYs (2040·59 [1433·96-2774·62] per 100 000 population) in all EU Member States, and in all studied age groups. In 2019, among adolescents aged 10-24 years, males had a higher mortality rate per 100 000 population due to NCDs than females (11·66 [11·04-12·28] vs 7·89 [7·53-8·23]), whereas females presented a higher DALY rate per 100 000 population due to NCDs (8003·25 [5812·78-10 701·59] vs 6083·91 [4576·63-7857·92]). From 1990 to 2019, mortality rate due to NCDs in adolescents aged 10-24 years substantially decreased (-40·41% [-43·00 to -37·61), and also the YLL rate considerably decreased (-40·56% [-43·16 to -37·74]), except for mental disorders (which increased by 32·18% [1·67 to 66·49]), whereas the YLD rate increased slightly (1·44% [0·09 to 2·79]). Positive correlations were observed between DALY rates and SDIs for substance use disorders (rs=0·58, p=0·0012) and skin and subcutaneous diseases (rs=0·45, p=0·017), whereas negative correlations were found between DALY rates and SDIs for cardiovascular diseases (rs=-0·46, p=0·015), neoplasms (rs=-0·57, p=0·0015), and sense organ diseases (rs=-0·61, p=0·0005). INTERPRETATION NCD-related mortality has substantially declined among adolescents in the EU between 1990 and 2019, but the rising trend of YLL attributed to mental disorders and their YLD burden are concerning. Differences by sex, age group, and across EU Member States highlight the importance of preventive interventions and scaling up adolescent-responsive health-care systems, which should prioritise specific needs by sex, age, and location. FUNDING Bill & Melinda Gates Foundation.
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Affiliation(s)
- Benedetta Armocida
- Division of Tropical and Humanitarian Medicine, University of Geneva, Geneva, Switzerland; Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy
| | - Lorenzo Monasta
- Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy.
| | - Susan Sawyer
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia; Centre for Adolescent Health, Royal Children's Hospital Melbourne, Melbourne, VIC, Australia
| | | | | | - Giulio Castelpietra
- Outpatient and Inpatient Care Service, Central Health Directorate, Friuli Venezia Giulia Region, Trieste, Italy
| | - Luca Ronfani
- Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy
| | - Maja Pasovic
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Simon Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | | | - Pablo Perel
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - David Beran
- Division of Tropical and Humanitarian Medicine, University of Geneva and Geneva University Hospitals, Switzerland
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Sheena BS, Hiebert L, Han H, Ippolito H, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abbastabar H, Abdoli A, Abubaker Ali H, Adane MM, Adegboye OA, Adnani QES, Advani SM, Afzal MS, Afzal S, Aghaie Meybodi M, Ahadinezhad B, Ahinkorah BO, Ahmad S, Ahmad T, Ahmadi S, Ahmed H, Ahmed MB, Ahmed Rashid T, Akalu GT, Aklilu A, Akram T, Al Hamad H, Alahdab F, Alem AZ, Alem DT, Alhalaiqa FAN, Alhassan RK, Ali L, Ali MA, Alimohamadi Y, Alipour V, Alkhayyat M, Almustanyir S, Al-Raddadi RM, Altawalah H, Amini S, Amu H, Ancuceanu R, Andrei CL, Andrei T, Anoushiravani A, Ansar A, Anyasodor AE, Arabloo J, Arab-Zozani M, Argaw AM, Argaw ZG, Arshad M, Artamonov AA, Ashraf T, Atlaw D, Ausloos F, Ausloos M, Azadnajafabad S, Azangou-Khyavy M, Azari Jafari A, Azarian G, Bagheri S, Bahadory S, Baig AA, Banach M, Barati N, Barrow A, Batiha AMM, Bejarano Ramirez DF, Belgaumi UI, Berhie AY, Bhagat DS, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bhojaraja VS, Bijani A, Biondi A, Bodicha BBA, Bojia HA, Boloor A, Bosetti C, Braithwaite D, Briko NI, Butt ZA, Cámera LA, Chakinala RC, Chakraborty PA, Charan J, Chen S, Choi JYJ, Choudhari SG, Chowdhury FR, Chu DT, Chung SC, Cortesi PA, Cowie BC, Culbreth GT, Dadras O, Dai X, Dandona L, Dandona R, De la Hoz FP, Debela SA, Dedefo MG, Demeke FM, Demie TGG, Demissie GD, Derbew Molla M, Desta AA, Dhamnetiya D, Dhimal ML, Dhimal M, Didehdar M, Doan LP, Dorostkar F, Drake TM, Eghbalian F, Ekholuenetale M, El Sayed I, El Sayed Zaki M, Elhadi M, Elmonem MA, Elsharkawy A, Enany S, Enyew DB, Erkhembayar R, Eskandarieh S, Esmaeilzadeh F, Ezzikouri S, Farrokhpour H, Fetensa G, Fischer F, Foroutan M, Gad MM, Gaidhane AM, Gaidhane S, Galles NC, Gallus S, Gebremeskel TG, Gebreyohannes EAA, Ghadiri K, Ghaffari K, Ghafourifard M, Ghamari SH, Ghashghaee A, Gholami A, Gholizadeh A, Gilani A, Goel A, Golechha M, Goleij P, Golinelli D, Gorini G, Goshu YA, Griswold MG, Gubari MIM, Gupta B, Gupta S, Gupta VB, Gupta VK, Haddadi R, Halwani R, Hamid SS, Hamidi S, Hanif A, Haque S, Harapan H, Hargono A, Hariri S, Hasaballah AI, Hasan SMM, Hassanipour S, Hassankhani H, Hay SI, Hayat K, Heidari G, Herteliu C, Heyi DZ, Hezam K, Holla R, Hosseini MS, Hosseini M, Hosseinzadeh M, Hostiuc M, Househ M, Huang J, Hussein NR, Iavicoli I, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Irham LM, Islam JY, Ismail NE, Jacobsen KH, Jadidi-Niaragh F, Javadi Mamaghani A, Jayaram S, Jayawardena R, Jebai R, Jha RP, Joseph N, Joukar F, Kaambwa B, Kabir A, Kabir Z, Kalhor R, Kandel H, Kanko TKT, Kantar RS, Karaye IM, Kassa BG, Kemp Bohan PM, Keykhaei M, Khader YS, Khajuria H, Khan G, Khan IA, Khan J, Khan MAB, Khanali J, Khater AM, Khatib MN, Khodadost M, Khoja AT, Khosravizadeh O, Khubchandani J, Kim GR, Kim H, Kim MS, Kim YJ, Kocarnik JM, Kolahi AA, Koteeswaran R, Kumar GA, La Vecchia C, Lal DK, Landires I, Lasrado S, Lazarus JV, Ledda C, Lee DW, Lee SW, Lee YY, Levi M, Li J, Lim SS, Lobo SW, Lopukhov PD, Loureiro JA, MacLachlan JH, Magdy Abd El Razek H, Magdy Abd El Razek M, Majeed A, Makki A, Malekpour MR, Malekzadeh R, Malik AA, Mansour-Ghanaei F, Mansournia MA, Martins-Melo FR, Matthews PC, Mendoza W, Menezes RG, Meretoja TJ, Mersha AG, Mestrovic T, Miller TR, Minh LHN, Mirica A, Mirmoeeni S, Mirrakhimov EM, Misra S, Mithra P, Moazen B, Mohamadkhani A, Mohammadi M, Mohammed S, Moka N, Mokdad AH, Moludi J, Momtazmanesh S, Monasta L, Moradi G, Moradzadeh M, Moradzadeh R, Moraga P, Mostafavi E, Mubarik S, Muniyandi M, Murray CJL, Naghavi M, Naimzada MD, Narasimha Swamy S, Natto ZS, Nayak BP, Nazari J, Negoi I, Negru SM, Nejadghaderi SA, Neupane Kandel S, Nguyen HLT, Ngwa CH, Niazi RK, Nnaji CA, Noubiap JJ, Nowroozi A, Nuñez-Samudio V, Oancea B, Ochir C, Odukoya OO, Oh IH, Olagunju AT, Olakunde BO, Omar Bali A, Omer E, Otstavnov SS, Oumer B, Padubidri JR, Pana A, Pandey A, Park EC, Pashazadeh Kan F, Patel UK, Paudel U, Petcu IR, Piracha ZZ, Pollok RCG, Postma MJ, Pourshams A, Poustchi H, Rabiee M, Rabiee N, Rafiei A, Rafiei S, Raghuram PM, Rahman M, Rahmani AM, Rahmawaty S, Rajesh A, Ranasinghe P, Rao CR, Rao SJ, Rashidi M, Rashidi MM, Rawaf DL, Rawaf S, Rawassizadeh R, Rezaei N, Rezapour A, Rezazadeh-Khadem S, Rodriguez JAB, Rwegerera GM, Sabour S, Saddik B, Saeb MR, Saeed U, Sahebkar A, Saif-Ur-Rahman KM, Salahi S, Salimzadeh H, Sampath C, Samy AM, Sanabria J, Sanmarchi F, Santric-Milicevic MM, Sarveazad A, Sathian B, Sawhney M, Seidu AA, Sepanlou SG, Seylani A, Shahabi S, Shaikh MA, Shaker E, Shakhmardanov MZ, Shannawaz M, Shenoy SM, Shetty JK, Shetty PH, Shibuya K, Shin JI, Shobeiri P, Sibhat MM, Singh AD, Singh JA, Singh S, Skryabin VY, Skryabina AA, Sohrabpour AA, Song S, Tabaeian SP, Tadesse EG, Taheri M, Tampa M, Tan KK, Tavakoli A, Tbakhi A, Tefera BN, Tehrani-Banihashemi A, Tesfaw HM, Thapar R, Thavamani A, Tohidast SA, Tollosa DN, Tosti ME, Tovani-Palone MR, Traini E, Tran MTN, Trihandini I, Tusa BS, Ullah I, Vacante M, Valadan Tahbaz S, Valdez PR, Varthya SB, Vo B, Waheed Y, Weldesenbet AB, Woldemariam M, Xu S, Yahyazadeh Jabbari SH, Yaseri M, Yeshaw Y, Yiğit V, Yirdaw BW, Yonemoto N, Yu C, Yunusa I, Zahir M, Zaki L, Zamani M, Zamanian M, Zastrozhin MS, Vos T, Ward JW, Dirac MA. Global, regional, and national burden of hepatitis B, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Gastroenterol Hepatol 2022; 7:796-829. [PMID: 35738290 PMCID: PMC9349325 DOI: 10.1016/s2468-1253(22)00124-8] [Citation(s) in RCA: 176] [Impact Index Per Article: 88.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 04/02/2022] [Accepted: 04/04/2022] [Indexed: 12/23/2022]
Abstract
Background Combating viral hepatitis is part of the UN Sustainable Development Goals (SDGs), and WHO has put forth hepatitis B elimination targets in its Global Health Sector Strategy on Viral Hepatitis (WHO-GHSS) and Interim Guidance for Country Validation of Viral Hepatitis Elimination (WHO Interim Guidance). We estimated the global, regional, and national prevalence of hepatitis B virus (HBV), as well as mortality and disability-adjusted life-years (DALYs) due to HBV, as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. This included estimates for 194 WHO member states, for which we compared our estimates to WHO elimination targets. Methods The primary data sources were population-based serosurveys, claims and hospital discharges, cancer registries, vital registration systems, and published case series. We estimated chronic HBV infection and the burden of HBV-related diseases, defined as an aggregate of cirrhosis due to hepatitis B, liver cancer due to hepatitis B, and acute hepatitis B. We used DisMod-MR 2.1, a Bayesian mixed-effects meta-regression tool, to estimate the prevalence of chronic HBV infection, cirrhosis, and aetiological proportions of cirrhosis. We used mortality-to-incidence ratios modelled with spatiotemporal Gaussian process regression to estimate the incidence of liver cancer. We used the Cause of Death Ensemble modelling (CODEm) model, a tool that selects models and covariates on the basis of out-of-sample performance, to estimate mortality due to cirrhosis, liver cancer, and acute hepatitis B. Findings In 2019, the estimated global, all-age prevalence of chronic HBV infection was 4·1% (95% uncertainty interval [UI] 3·7 to 4·5), corresponding to 316 million (284 to 351) infected people. There was a 31·3% (29·0 to 33·9) decline in all-age prevalence between 1990 and 2019, with a more marked decline of 76·8% (76·2 to 77·5) in prevalence in children younger than 5 years. HBV-related diseases resulted in 555 000 global deaths (487 000 to 630 000) in 2019. The number of HBV-related deaths increased between 1990 and 2019 (by 5·9% [–5·6 to 19·2]) and between 2015 and 2019 (by 2·9% [–5·9 to 11·3]). By contrast, all-age and age-standardised death rates due to HBV-related diseases decreased during these periods. We compared estimates for 2019 in 194 WHO locations to WHO-GHSS 2020 targets, and found that four countries achieved a 10% reduction in deaths, 15 countries achieved a 30% reduction in new cases, and 147 countries achieved a 1% prevalence in children younger than 5 years. As of 2019, 68 of 194 countries had already achieved the 2030 target proposed in WHO Interim Guidance of an all-age HBV-related death rate of four per 100 000. Interpretation The prevalence of chronic HBV infection declined over time, particularly in children younger than 5 years, since the introduction of hepatitis B vaccination. HBV-related death rates also decreased, but HBV-related death counts increased as a result of population growth, ageing, and cohort effects. By 2019, many countries had met the interim seroprevalence target for children younger than 5 years, but few countries had met the WHO-GHSS interim targets for deaths and new cases. Progress according to all indicators must be accelerated to meet 2030 targets, and there are marked disparities in burden and progress across the world. HBV interventions, such as vaccination, testing, and treatment, must be strategically supported and scaled up to achieve elimination. Funding Bill & Melinda Gates Foundation.
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Wulf Hanson S, Abbafati C, Aerts JG, Al-Aly Z, Ashbaugh C, Ballouz T, Blyuss O, Bobkova P, Bonsel G, Borzakova S, Buonsenso D, Butnaru D, Carter A, Chu H, De Rose C, Diab MM, Ekbom E, El Tantawi M, Fomin V, Frithiof R, Gamirova A, Glybochko PV, Haagsma JA, Javanmard SH, Hamilton EB, Harris G, Heijenbrok-Kal MH, Helbok R, Hellemons ME, Hillus D, Huijts SM, Hultström M, Jassat W, Kurth F, Larsson IM, Lipcsey M, Liu C, Loflin CD, Malinovschi A, Mao W, Mazankova L, McCulloch D, Menges D, Mohammadifard N, Munblit D, Nekliudov NA, Ogbuoji O, Osmanov IM, Peñalvo JL, Petersen MS, Puhan MA, Rahman M, Rass V, Reinig N, Ribbers GM, Ricchiuto A, Rubertsson S, Samitova E, Sarrafzadegan N, Shikhaleva A, Simpson KE, Sinatti D, Soriano JB, Spiridonova E, Steinbeis F, Svistunov AA, Valentini P, van de Water BJ, van den Berg-Emons R, Wallin E, Witzenrath M, Wu Y, Xu H, Zoller T, Adolph C, Albright J, Amlag JO, Aravkin AY, Bang-Jensen BL, Bisignano C, Castellano R, Castro E, Chakrabarti S, Collins JK, Dai X, Daoud F, Dapper C, Deen A, Duncan BB, Erickson M, Ewald SB, Ferrari AJ, Flaxman AD, Fullman N, Gamkrelidze A, Giles JR, Guo G, Hay SI, He J, Helak M, Hulland EN, Kereselidze M, Krohn KJ, Lazzar-Atwood A, Lindstrom A, Lozano R, Magistro B, Malta DC, Månsson J, Mantilla Herrera AM, Mokdad AH, Monasta L, Nomura S, Pasovic M, Pigott DM, Reiner RC, Reinke G, Ribeiro ALP, Santomauro DF, Sholokhov A, Spurlock EE, Walcott R, Walker A, Wiysonge CS, Zheng P, Bettger JP, Murray CJ, Vos T. A global systematic analysis of the occurrence, severity, and recovery pattern of long COVID in 2020 and 2021. medRxiv 2022. [PMID: 35664995 PMCID: PMC9164454 DOI: 10.1101/2022.05.26.22275532] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Importance: While much of the attention on the COVID-19 pandemic was directed at the daily counts of cases and those with serious disease overwhelming health services, increasingly, reports have appeared of people who experience debilitating symptoms after the initial infection. This is popularly known as long COVID. Objective: To estimate by country and territory of the number of patients affected by long COVID in 2020 and 2021, the severity of their symptoms and expected pattern of recovery Design: We jointly analyzed ten ongoing cohort studies in ten countries for the occurrence of three major symptom clusters of long COVID among representative COVID cases. The defining symptoms of the three clusters (fatigue, cognitive problems, and shortness of breath) are explicitly mentioned in the WHO clinical case definition. For incidence of long COVID, we adopted the minimum duration after infection of three months from the WHO case definition. We pooled data from the contributing studies, two large medical record databases in the United States, and findings from 44 published studies using a Bayesian meta-regression tool. We separately estimated occurrence and pattern of recovery in patients with milder acute infections and those hospitalized. We estimated the incidence and prevalence of long COVID globally and by country in 2020 and 2021 as well as the severity-weighted prevalence using disability weights from the Global Burden of Disease study. Results: Analyses are based on detailed information for 1906 community infections and 10526 hospitalized patients from the ten collaborating cohorts, three of which included children. We added published data on 37262 community infections and 9540 hospitalized patients as well as ICD-coded medical record data concerning 1.3 million infections. Globally, in 2020 and 2021, 144.7 million (95% uncertainty interval [UI] 54.8–312.9) people suffered from any of the three symptom clusters of long COVID. This corresponds to 3.69% (1.38–7.96) of all infections. The fatigue, respiratory, and cognitive clusters occurred in 51.0% (16.9–92.4), 60.4% (18.9–89.1), and 35.4% (9.4–75.1) of long COVID cases, respectively. Those with milder acute COVID-19 cases had a quicker estimated recovery (median duration 3.99 months [IQR 3.84–4.20]) than those admitted for the acute infection (median duration 8.84 months [IQR 8.10–9.78]). At twelve months, 15.1% (10.3–21.1) continued to experience long COVID symptoms. Conclusions and relevance: The occurrence of debilitating ongoing symptoms of COVID-19 is common. Knowing how many people are affected, and for how long, is important to plan for rehabilitative services and support to return to social activities, places of learning, and the workplace when symptoms start to wane.
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Haagsma JA, Charalampous P, Ariani F, Gallay A, Moesgaard Iburg K, Nena E, Ngwa CH, Rommel A, Zelviene A, Abegaz KH, Al Hamad H, Albano L, Liliana Andrei C, Andrei T, Antonazzo IC, Aremu O, Arumugam A, Atreya A, Aujayeb A, Ayuso-Mateos JL, Engelbert Bain L, Banach M, Winfried Bärnighausen T, Barone-Adesi F, Beghi M, Bennett DA, Bhagavathula AS, Carvalho F, Castelpietra G, Caterina L, Chandan JS, Couto RAS, Cruz-Martins N, Damiani G, Dastiridou A, Demetriades AK, Dias-da-Silva D, Francis Fagbamigbe A, Fereshtehnejad SM, Fernandes E, Ferrara P, Fischer F, Fra.Paleo U, Ghirini S, Glasbey JC, Glavan IR, Gomes NGM, Grivna M, Harlianto NI, Haro JM, Hasan MT, Hostiuc S, Iavicoli I, Ilic MD, Ilic IM, Jakovljevic M, Jonas JB, Jerzy Jozwiak J, Jürisson M, Kauppila JH, Kayode GA, Khan MAB, Kisa A, Kisa S, Koyanagi A, Kumar M, Kurmi OP, La-Vecchia C, Lamnisos D, Lasrado S, Lauriola P, Linn S, Loureiro JA, Lunevicius R, Madureira-Carvalho A, Mechili EA, Majeed A, Menezes RG, Mentis AFA, Meretoja A, Mestrovic T, Miazgowski T, Miazgowski B, Mirica A, Molokhia M, Mohammed S, Monasta L, Mulita F, David Naimzada M, Negoi I, Neupane S, Oancea B, Orru H, Otoiu A, Otstavnov N, Otstavnov SS, Padron-Monedero A, Panda-Jonas S, Pardhan S, Patel J, Pedersini P, Pinheiro M, Rakovac I, Rao CR, Rawaf S, Rawaf DL, Rodrigues V, Ronfani L, Sagoe D, Sanmarchi F, Santric-Milicevic MM, Sathian B, Sheikh A, Shiri R, Shivalli S, Dora Sigfusdottir I, Sigurvinsdottir R, Yurievich Skryabin V, Aleksandrovna Skryabina A, Smarandache CG, Socea B, Sousa RARC, Steiropoulos P, Tabarés-Seisdedos R, Roberto Tovani-Palone M, Tozija F, Van de Velde S, Juhani Vasankari T, Veroux M, Violante FS, Vlassov V, Wang Y, Yadollahpour A, Yaya S, Sergeevich Zastrozhin M, Zastrozhina A, Polinder S, Majdan M. The burden of injury in Central, Eastern, and Western European sub-region: a systematic analysis from the Global Burden of Disease 2019 Study. Arch Public Health 2022; 80:142. [PMID: 35590340 PMCID: PMC9121595 DOI: 10.1186/s13690-022-00891-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 05/02/2022] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Injury remains a major concern to public health in the European region. Previous iterations of the Global Burden of Disease (GBD) study showed wide variation in injury death and disability adjusted life year (DALY) rates across Europe, indicating injury inequality gaps between sub-regions and countries. The objectives of this study were to: 1) compare GBD 2019 estimates on injury mortality and DALYs across European sub-regions and countries by cause-of-injury category and sex; 2) examine changes in injury DALY rates over a 20 year-period by cause-of-injury category, sub-region and country; and 3) assess inequalities in injury mortality and DALY rates across the countries. METHODS We performed a secondary database descriptive study using the GBD 2019 results on injuries in 44 European countries from 2000 to 2019. Inequality in DALY rates between these countries was assessed by calculating the DALY rate ratio between the highest-ranking country and lowest-ranking country in each year. RESULTS In 2019, in Eastern Europe 80 [95% uncertainty interval (UI): 71 to 89] people per 100,000 died from injuries; twice as high compared to Central Europe (38 injury deaths per 100,000; 95% UI 34 to 42) and three times as high compared to Western Europe (27 injury deaths per 100,000; 95%UI 25 to 28). The injury DALY rates showed less pronounced differences between Eastern (5129 DALYs per 100,000; 95% UI: 4547 to 5864), Central (2940 DALYs per 100,000; 95% UI: 2452 to 3546) and Western Europe (1782 DALYs per 100,000; 95% UI: 1523 to 2115). Injury DALY rate was lowest in Italy (1489 DALYs per 100,000) and highest in Ukraine (5553 DALYs per 100,000). The difference in injury DALY rates by country was larger for males compared to females. The DALY rate ratio was highest in 2005, with DALY rate in the lowest-ranking country (Russian Federation) 6.0 times higher compared to the highest-ranking country (Malta). After 2005, the DALY rate ratio between the lowest- and the highest-ranking country gradually decreased to 3.7 in 2019. CONCLUSIONS Injury mortality and DALY rates were highest in Eastern Europe and lowest in Western Europe, although differences in injury DALY rates declined rapidly, particularly in the past decade. The injury DALY rate ratio of highest- and lowest-ranking country declined from 2005 onwards, indicating declining inequalities in injuries between European countries.
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Affiliation(s)
- Juanita A. Haagsma
- grid.5645.2000000040459992XDepartment of Public Health, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Periklis Charalampous
- grid.5645.2000000040459992XDepartment of Public Health, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Filippo Ariani
- Epidemiology Unit, Central Tuscany Local Health Authority, Florence, Italy
| | - Anne Gallay
- grid.493975.50000 0004 5948 8741Department of Non-Communicable Diseases and Injuries, Santé Publique France, Saint-Maurice, France
| | - Kim Moesgaard Iburg
- grid.7048.b0000 0001 1956 2722Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Evangelia Nena
- grid.12284.3d0000 0001 2170 8022Laboratory of Social Medicine, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - Che Henry Ngwa
- grid.8761.80000 0000 9919 9582School of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden ,grid.22903.3a0000 0004 1936 9801Department of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | - Alexander Rommel
- grid.13652.330000 0001 0940 3744Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Ausra Zelviene
- Institute of Hygiene, Health Information Center, Kaunas, Lithuania
| | - Kedir Hussein Abegaz
- grid.412132.70000 0004 0596 0713Department of Biostatistics, Near East University, Nicosia, Cyprus ,Department of Biostatistics and Health Informatics, Madda Walabu University, Bale Robe, Ethiopia
| | - Hanadi Al Hamad
- grid.413548.f0000 0004 0571 546XGeriatrics and Long Term Care Department, Hamad Medical Corporation, Doha, Qatar
| | - Luciana Albano
- grid.9841.40000 0001 2200 8888Department of Experimental Medicine, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Catalina Liliana Andrei
- grid.8194.40000 0000 9828 7548Cardiology Department, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Tudorel Andrei
- grid.432032.40000 0004 0416 9364Department of Statistics and Econometrics, Bucharest University of Economic Studies, Bucharest, Romania
| | - Ippazio Cosimo Antonazzo
- grid.7563.70000 0001 2174 1754Research Center On Public Health, University of Milan-Bicocca, Monza, Italy
| | - Olatunde Aremu
- grid.19822.300000 0001 2180 2449Department of Public Health, Birmingham City University, Birmingham, UK
| | - Ashokan Arumugam
- grid.412789.10000 0004 4686 5317Department of Physiotherapy, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
| | - Alok Atreya
- grid.429382.60000 0001 0680 7778Department of Forensic Medicine, Lumbini Medical College, Palpa, Nepal
| | - Avinash Aujayeb
- grid.451090.90000 0001 0642 1330Northumbria Healthcare NHS Foundation Trust, Cramlington, UK
| | - Jose Luis Ayuso-Mateos
- grid.411251.20000 0004 1767 647XHospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), Madrid, Spain ,grid.413448.e0000 0000 9314 1427Carlos III Health Institute, Biomedical Research Networking Center for Mental Health Network (CiberSAM), Madrid, Spain
| | - Luchuo Engelbert Bain
- grid.36511.300000 0004 0420 4262Lincoln International Institute for Rural Health (LIIRH), University of Lincoln, Lincoln, UK ,Global South Health Services and Research, GSHS, Amsterdam, The Netherlands
| | - Maciej Banach
- grid.8267.b0000 0001 2165 3025Department of Hypertension, Medical University of Lodz, Lodz, Poland ,grid.415071.60000 0004 0575 4012Polish Mothers’ Memorial Hospital Research Institute, Lodz, Poland
| | - Till Winfried Bärnighausen
- grid.7700.00000 0001 2190 4373Heidelberg Institute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany ,grid.38142.3c000000041936754XT.H. Chan School of Public Health, Harvard University, Boston, MA USA
| | - Francesco Barone-Adesi
- grid.16563.370000000121663741Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | | | - Derrick A. Bennett
- grid.4991.50000 0004 1936 8948Clinical Trials Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Akshaya S. Bhagavathula
- grid.43519.3a0000 0001 2193 6666Institute of Public Health, United Arab Emirates University, Al Ain, United Arab Emirates ,grid.4491.80000 0004 1937 116XDepartment of Social and Clinical Pharmacy, Charles University, Hradec Kralova, Prague, Czech Republic
| | - Félix Carvalho
- grid.5808.50000 0001 1503 7226Research Unit On Applied Molecular Biosciences (UCIBIO), University of Porto, Porto, Portugal
| | - Giulio Castelpietra
- Outpatient and Inpatient Care Service, Central Health Directorate, Friuli Venezia Giulia Region, Trieste, Italy
| | - Ledda Caterina
- grid.8158.40000 0004 1757 1969Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Joht Singh Chandan
- grid.6572.60000 0004 1936 7486Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Rosa A. S. Couto
- grid.5808.50000 0001 1503 7226Department of Chemical Sciences, University of Porto, Porto, Portugal
| | - Natália Cruz-Martins
- grid.5808.50000 0001 1503 7226Faculty of Medicine, University of Porto, Porto, Portugal ,grid.5808.50000 0001 1503 7226Institute for Research & Innovation in Health (i3S), University of Porto, Porto, Portugal ,Institute of Research and Advanced, Training in Health Sciences and Technologies (INFACTS), Gandra, Portugal
| | - Giovanni Damiani
- grid.4708.b0000 0004 1757 2822Clinical Dermatology, IRCCS Istituto Ortopedico Galeazzi, University of Milan, Milan, Italy ,grid.67105.350000 0001 2164 3847Department of Dermatology, Case Western Reserve University, Cleveland, OH USA
| | - Anna Dastiridou
- grid.411299.6Department of Ophthalmology, University Hospital of Larissa, Larissa, Greece
| | - Andreas K. Demetriades
- grid.418716.d0000 0001 0709 1919Edinburgh Spinal Surgery Outcome Studies Group, Department of Neurosurgery, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Diana Dias-da-Silva
- grid.5808.50000 0001 1503 7226Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, Portugal
| | - Adeniyi Francis Fagbamigbe
- grid.9582.60000 0004 1794 5983Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Seyed-Mohammad Fereshtehnejad
- grid.28046.380000 0001 2182 2255Division of Neurology, Department of Medicine, University of Ottawa, Ottawa, ON Canada ,grid.4714.60000 0004 1937 0626Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institute, Stockholm, Sweden
| | - Eduarda Fernandes
- grid.5808.50000 0001 1503 7226Associated Laboratory for Green Chemistry (LAQV), University of Porto, Porto, Portugal
| | - Pietro Ferrara
- grid.7563.70000 0001 2174 1754Research Center On Public Health, University of Milan-Bicocca, Monza, Italy
| | - Florian Fischer
- grid.6363.00000 0001 2218 4662Institute of Public Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Urbano Fra.Paleo
- grid.8393.10000000119412521Research Institute for Sustainable Land Development (Interra), University of Extremadura, Caceres, Spain
| | - Silvia Ghirini
- grid.416651.10000 0000 9120 6856National Center On Addictions and Doping, Istituto Superiore Di Sanità, Rome, Italy
| | - James C. Glasbey
- grid.6572.60000 0004 1936 7486NIHR Global Health Research Unit On Global Surgery, University of Birmingham, Birmingham, UK
| | - Ionela-Roxana Glavan
- grid.432032.40000 0004 0416 9364Department of Statistics and Econometrics, Bucharest University of Economic Studies, Bucharest, Romania
| | - Nelson G. M. Gomes
- grid.5808.50000 0001 1503 7226Associated Laboratory for Green Chemistry (LAQV), University of Porto, Porto, Portugal ,grid.5808.50000 0001 1503 7226Department of Chemistry, University of Porto, Porto, Portugal
| | - Michal Grivna
- grid.43519.3a0000 0001 2193 6666Institute of Public Health, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Netanja I. Harlianto
- grid.7692.a0000000090126352Department of Orthopedics, University Medical Center Utrecht, Utrecht, Netherlands
| | - Josep Maria Haro
- Biomedical Research Networking Center for Mental Health Network (CiberSAM), Madrid, Spain ,Research and Development Unit, San Juan de Dios Sanitary Park, Sant Boi de Llobregat, Spain
| | - M. Tasdik Hasan
- grid.414142.60000 0004 0600 7174International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh ,grid.10025.360000 0004 1936 8470Department of Primary Care and Mental Health, University of Liverpool, Liverpool, UK
| | - Sorin Hostiuc
- grid.8194.40000 0000 9828 7548Department of Legal Medicine and Bioethics, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania ,Clinical Legal Medicine Department, National Institute of Legal Medicine Mina Minovici, Bucharest, Romania
| | - Ivo Iavicoli
- grid.4691.a0000 0001 0790 385XDepartment of Public Health, University of Naples Federico II, Naples, Italy
| | - Milena D. Ilic
- grid.413004.20000 0000 8615 0106Department of Epidemiology, University of Kragujevac, Kragujevac, Serbia
| | - Irena M. Ilic
- grid.7149.b0000 0001 2166 9385Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Mihajlo Jakovljevic
- grid.448878.f0000 0001 2288 8774N. A. Semashko Department of Public Health and Healthcare, I. M. Sechenov First Moscow State Medical University, Moscow, Russia ,grid.413004.20000 0000 8615 0106Department of Global Health, Economics and Policy, University of Kragujevac, Kragujevac, Serbia
| | - Jost B. Jonas
- grid.7700.00000 0001 2190 4373Department of Ophthalmology, Heidelberg University, Mannheim, Germany ,grid.414373.60000 0004 1758 1243Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Beijing, China
| | - Jacek Jerzy Jozwiak
- grid.107891.60000 0001 1010 7301Department of Family Medicine and Public Health, University of Opole, Opole, Poland
| | - Mikk Jürisson
- grid.10939.320000 0001 0943 7661Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia
| | - Joonas H. Kauppila
- grid.4714.60000 0004 1937 0626Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden ,grid.10858.340000 0001 0941 4873Surgery Research Unit, University of Oulu, Oulu, Finland
| | - Gbenga A. Kayode
- grid.421160.0International Research Center of Excellence, Institute of Human Virology Nigeria, Abuja, Nigeria ,grid.5477.10000000120346234Julius Centre for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands
| | - Moien A. B. Khan
- grid.43519.3a0000 0001 2193 6666Department of Family Medicine, United Arab Emirates University, Al-Ain, United Arab Emirates ,grid.451052.70000 0004 0581 2008Primary Care Department, NHS North West London, London, England
| | - Adnan Kisa
- grid.457625.70000 0004 0383 3497School of Health Sciences, Kristiania University College, Oslo, Norway ,grid.265219.b0000 0001 2217 8588Department of Global Community Health and Behavioral Sciences, Tulane University, New Orleans, LA USA
| | - Sezer Kisa
- grid.412414.60000 0000 9151 4445Department of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway
| | - Ai Koyanagi
- Biomedical Research Networking Center for Mental Health Network (CiberSAM), San Juan de Dios Sanitary Park, Sant Boi de Llobregat, Spain ,grid.425902.80000 0000 9601 989XCatalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Manasi Kumar
- grid.10604.330000 0001 2019 0495Department of Psychiatry, University of Nairobi, Nairobi, Kenya ,grid.83440.3b0000000121901201Division of Psychology and Language Sciences, University College London, London, UK
| | - Om P. Kurmi
- grid.25073.330000 0004 1936 8227Division of Respirology, Department of Medicine, McMaster University, Hamilton, Canada ,grid.8096.70000000106754565Faculty of Health and Life Sciences, Coventry University, Coventry, UK
| | - Carlo La-Vecchia
- grid.4708.b0000 0004 1757 2822Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Demetris Lamnisos
- grid.440838.30000 0001 0642 7601Department of Health Sciences, School of Sciences, European University Cyprus, Nicosia, Cyprus
| | - Savita Lasrado
- grid.414767.70000 0004 1765 9143Department of Otorhinolaryngology, Father Muller Medical College, Mangalore, India
| | - Paolo Lauriola
- grid.5326.20000 0001 1940 4177Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Shai Linn
- grid.18098.380000 0004 1937 0562School of Public Health, University of Haifa, Haifa, Israel
| | - Joana A. Loureiro
- grid.5808.50000 0001 1503 7226Laboratory for Process Engineering, Environment, Biotechnology and Energy (LEPABE), University of Porto, Porto, Portugal
| | - Raimundas Lunevicius
- grid.10025.360000 0004 1936 8470Department of General Surgery, School of Medicine, Liverpool University Hospitals NHS Foundation Trust, University of Liverpool, Liverpool, UK
| | - Aurea Madureira-Carvalho
- Institute of Research and Advanced, Training in Health Sciences and Technologies (INFACTS), Gandra, Portugal ,grid.5808.50000 0001 1503 7226Laboratório de Farmacognosia, Departamento de Química, Faculdade de Farmácia, Universidade Do Porto, Porto, Portugal
| | - Enkeleint A. Mechili
- grid.8127.c0000 0004 0576 3437Clinic of Social and Family Medicine, School of Medicine, University of Crete, Crete, Greece ,Department of Healthcare, Faculty of Public Health, University of Vlora, Vlora, Albania
| | - Azeem Majeed
- grid.7445.20000 0001 2113 8111Department of Primary Care and Public Health, Imperial College London, London, UK
| | - Ritesh G. Menezes
- grid.411975.f0000 0004 0607 035XForensic Medicine Division, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Alexios-Fotios A. Mentis
- grid.418497.7Public Health Laboratories, Hellenic Pasteur Institute, Athens, Greece ,grid.411299.6Department of Neurology, University Hospital of Larissa, University of Thessaly, Larissa, Greece
| | - Atte Meretoja
- grid.1008.90000 0001 2179 088XSchool of Health Sciences, University of Melbourne, Melbourne, VIC Australia ,grid.15485.3d0000 0000 9950 5666Neurology Unit, Helsinki University Hospital, Helsinki, Finland
| | - Tomislav Mestrovic
- Clinical Microbiology and Parasitology Unit, Dr Zora Profozic Polyclinic, Zagreb, Croatia ,grid.502995.20000 0004 4651 2415University Centre Varazdin, University North, Varazdin, Croatia
| | - Tomasz Miazgowski
- grid.107950.a0000 0001 1411 4349Department of Propedeutics of Internal Diseases & Arterial Hypertension, Pomeranian Medical University, Szczecin, Poland
| | - Bartosz Miazgowski
- grid.107950.a0000 0001 1411 4349Center for Innovation in Medical Education, Pomeranian Medical University, Szczecin, Poland
| | - Andreea Mirica
- grid.432032.40000 0004 0416 9364Department of Statistics and Econometrics, Bucharest University of Economic Studies, Bucharest, Romania
| | - Mariam Molokhia
- grid.13097.3c0000 0001 2322 6764Faculty of Life Sciences and Medicine, King’s College London, London, UK
| | - Shafiu Mohammed
- grid.7700.00000 0001 2190 4373Heidelberg Institute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany ,grid.411225.10000 0004 1937 1493Health Systems and Policy Research Unit, Ahmadu Bello University, Zaria, Nigeria
| | - Lorenzo Monasta
- Clinical Epidemiology and Public Health Research Unit, Burlo Garofolo Institute for Maternal and Child Health, Trieste, Italy
| | - Francesk Mulita
- grid.412458.eDepartment of General Surgery, University General Hospital of Patras, Patras, Greece
| | - Mukhammad David Naimzada
- grid.18763.3b0000000092721542Laboratory of Public Health Indicators Analysis and Health Digitalization, Moscow Institute of Physics and Technology, Dolgoprudny, Russia ,grid.411191.d0000 0000 9146 0440Experimental Surgery and Oncology Laboratory, Kursk State Medical University, Kursk, Russia
| | - Ionut Negoi
- grid.8194.40000 0000 9828 7548Department of General Surgery, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania ,Department of General Surgery, Emergency Hospital of Bucharest, Bucharest, Romania
| | - Subas Neupane
- grid.502801.e0000 0001 2314 6254Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland ,grid.502801.e0000 0001 2314 6254Gerontology Research Center, Tampere University, Tampere, Finland
| | - Bogdan Oancea
- grid.5100.40000 0001 2322 497XAdministrative and Economic Sciences Department, University of Bucharest, Bucharest, Romania
| | - Hans Orru
- grid.10939.320000 0001 0943 7661Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia ,grid.12650.300000 0001 1034 3451Department of Public Health and Clinical Medicine, Sustainable Health, Umea University, Umea, Sweden
| | - Adrian Otoiu
- grid.432032.40000 0004 0416 9364Department of Statistics and Econometrics, Bucharest University of Economic Studies, Bucharest, Romania
| | - Nikita Otstavnov
- grid.18763.3b0000000092721542Laboratory of Public Health Indicators Analysis and Health Digitalization, Moscow Institute of Physics and Technology, Dolgoprudny, Russia
| | - Stanislav S. Otstavnov
- grid.18763.3b0000000092721542Laboratory of Public Health Indicators Analysis and Health Digitalization, Moscow Institute of Physics and Technology, Dolgoprudny, Russia ,grid.410682.90000 0004 0578 2005Department of Project Management, National Research University Higher School of Economics, Moscow, Russia
| | - Alicia Padron-Monedero
- grid.512889.f0000 0004 1768 0241National School of Public Health, Institute of Health Carlos III, Madrid, Spain
| | - Songhomitra Panda-Jonas
- grid.7700.00000 0001 2190 4373Department of Ophthalmology, Heidelberg University, Mannheim, Germany
| | - Shahina Pardhan
- grid.5115.00000 0001 2299 5510Vision and Eye Research Institute, Anglia Ruskin University, Cambridge, UK
| | - Jay Patel
- grid.9909.90000 0004 1936 8403Faculty of Medicine and Health, University of Leeds, Leeds, UK
| | - Paolo Pedersini
- grid.418563.d0000 0001 1090 9021IRCCS Fondazione Don Carlo Gnocchi, Milan, Italy
| | - Marina Pinheiro
- grid.5808.50000 0001 1503 7226Department of Chemistry, University of Porto, Porto, Portugal
| | - Ivo Rakovac
- World Health Organization (WHO) European Office for the Prevention and Control of Noncommunicable Diseases, Division of Country Health Programmes, WHO Regional Office for Europe, Moscow, Russian Federation
| | - Chythra R. Rao
- Department of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka India
| | - Salman Rawaf
- grid.7445.20000 0001 2113 8111Department of Primary Care and Public Health, Imperial College London, London, UK ,grid.271308.f0000 0004 5909 016XAcademic Public Health Department, Public Health England, London, UK
| | - David Laith Rawaf
- grid.7445.20000 0001 2113 8111World Health Organization (WHO) Collaborating Centre for Public Health Education and Training, Imperial College London, London, UK ,grid.439749.40000 0004 0612 2754University College London Hospitals, London, UK
| | | | - Luca Ronfani
- Clinical Epidemiology and Public Health Research Unit, Burlo Garofolo Institute for Maternal and Child Health, Trieste, Italy
| | - Dominic Sagoe
- grid.7914.b0000 0004 1936 7443Department of Psychosocial Science, University of Bergen, Bergen, Norway
| | - Francesco Sanmarchi
- grid.6292.f0000 0004 1757 1758Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Milena M. Santric-Milicevic
- grid.7149.b0000 0001 2166 9385Faculty of Medicine, University of Belgrade, Belgrade, Serbia ,grid.7149.b0000 0001 2166 9385School of Public Health and Health Management, University of Belgrade, Belgrade, Serbia
| | - Brijesh Sathian
- grid.413548.f0000 0004 0571 546XGeriatrics and Long Term Care Department, Hamad Medical Corporation, Doha, Qatar ,grid.17236.310000 0001 0728 4630Faculty of Health & Social Sciences, Bournemouth University, Bournemouth, UK
| | - Aziz Sheikh
- grid.4305.20000 0004 1936 7988Centre for Medical Informatics, University of Edinburgh, Edinburgh, UK ,grid.38142.3c000000041936754XDivision of General Internal Medicine, Harvard University, Boston, MA USA
| | - Rahman Shiri
- grid.6975.d0000 0004 0410 5926Finnish Institute of Occupational Health, Helsinki, Finland
| | - Siddharudha Shivalli
- grid.8991.90000 0004 0425 469XDepartment of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK
| | - Inga Dora Sigfusdottir
- grid.9580.40000 0004 0643 5232Department of Psychology, Reykjavik University, Reykjavik, Iceland ,Icelandic Centre for Social Research and Analysis (ICSRA), Reykjavik, Iceland ,grid.21729.3f0000000419368729Department of Health and Behavior Studies, Teachers College, Columbia University, New York, NY USA
| | - Rannveig Sigurvinsdottir
- grid.9580.40000 0004 0643 5232Department of Psychology, Reykjavik University, Reykjavik, Iceland
| | | | | | - Catalin-Gabriel Smarandache
- grid.8194.40000 0000 9828 7548Department of General Surgery, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Bogdan Socea
- grid.8194.40000 0000 9828 7548Department of General Surgery, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Raúl A. R. C. Sousa
- Professional Association of Licensed Optometry Professionals, Linda-a-Velha, Portugal
| | - Paschalis Steiropoulos
- grid.12284.3d0000 0001 2170 8022Department of Respiratory Medicine, Medical School, Democritus University of Thrace, University General Hospital Dragana, Alexandroupolis, Greece
| | - Rafael Tabarés-Seisdedos
- grid.413448.e0000 0000 9314 1427Carlos III Health Institute, Biomedical Research Networking Center for Mental Health Network (CiberSAM), Madrid, Spain ,grid.5338.d0000 0001 2173 938XDepartment of Medicine, University of Valencia, Valencia, Spain
| | - Marcos Roberto Tovani-Palone
- grid.11899.380000 0004 1937 0722Department of Pathology and Legal Medicine, University of São Paulo, Ribeirão Preto, Brazil
| | - Fimka Tozija
- grid.7858.20000 0001 0708 5391Institute of Public Health of Republic of North Macedonia, Saints Cyril and Methodius University of Skopje, Skopje, North Macedonia
| | - Sarah Van de Velde
- grid.5284.b0000 0001 0790 3681Centre for Population, Family and Health, Department of Sociology, University of Antwerp, Antwerp, Belgium
| | | | - Massimiliano Veroux
- grid.8158.40000 0004 1757 1969Department of Medical, Surgical Sciences and Advanced Technologies, University of Catania, Catania, Italy
| | - Francesco S. Violante
- grid.6292.f0000 0004 1757 1758Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy ,grid.412311.4Occupational Health Unit, Sant’Orsola Malpighi Hospital, Bologna, Italy
| | - Vasiliy Vlassov
- grid.410682.90000 0004 0578 2005Department of Health Care Administration and Economics, National Research University Higher School of Economics, Moscow, Russia
| | - Yanzhong Wang
- grid.13097.3c0000 0001 2322 6764School of Population Health and Environmental Sciences, King’s College London, London, UK
| | - Ali Yadollahpour
- grid.11835.3e0000 0004 1936 9262Psychology Department, University of Sheffield, Sheffield, UK
| | - Sanni Yaya
- grid.28046.380000 0001 2182 2255School of International Development and Global Studies, University of Ottawa, Ottawa, ON Canada ,grid.4991.50000 0004 1936 8948The George Institute for Global Health, University of Oxford, Oxford, UK
| | - Mikhail Sergeevich Zastrozhin
- Laboratory of Genetics and Genomics, Moscow Research and Practical Centre On Addictions, Moscow, Russia ,grid.465497.dAddictology Department, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Anasthasia Zastrozhina
- grid.465497.dPediatrics Department, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Suzanne Polinder
- grid.5645.2000000040459992XDepartment of Public Health, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Marek Majdan
- grid.412903.d0000 0001 1212 1596Department of Public Health, Institute for Global Health and Epidemiology, Faculty of Health Sciences and Social Work, Trnava University, Trnava, Slovakia
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Castelpietra G, Knudsen AKS, Agardh EE, Armocida B, Beghi M, Iburg KM, Logroscino G, Ma R, Starace F, Steel N, Addolorato G, Andrei CL, Andrei T, Ayuso-Mateos JL, Banach M, Bärnighausen TW, Barone-Adesi F, Bhagavathula AS, Carvalho F, Carvalho M, Chandan JS, Chattu VK, Couto RA, Cruz-Martins N, Dargan PI, Deuba K, da Silva DD, Fagbamigbe AF, Fernandes E, Ferrara P, Fischer F, Gaal PA, Gialluisi A, Haagsma JA, Haro JM, Hasan MT, Hasan SS, Hostiuc S, Iacoviello L, Iavicoli I, Jamshidi E, Jonas JB, Joo T, Jozwiak JJ, Katikireddi SV, Kauppila JH, Khan MA, Kisa A, Kisa S, Kivimäki M, Koly KN, Koyanagi A, Kumar M, Lallukka T, Langguth B, Ledda C, Lee PH, Lega I, Linehan C, Loureiro JA, Madureira-Carvalho ÁM, Martinez-Raga J, Mathur MR, McGrath JJ, Mechili EA, Mentis AFA, Mestrovic T, Miazgowski B, Mirica A, Mirijello A, Moazen B, Mohammed S, Mulita F, Nagel G, Negoi I, Negoi RI, Nwatah VE, Padron-Monedero A, Panda-Jonas S, Pardhan S, Pasovic M, Patel J, Petcu IR, Pinheiro M, Pollok RCG, Postma MJ, Rawaf DL, Rawaf S, Romero-Rodríguez E, Ronfani L, Sagoe D, Sanmarchi F, Schaub MP, Sharew NT, Shiri R, Shokraneh F, Sigfusdottir ID, Silva JP, Silva R, Socea B, Szócska M, Tabarés-Seisdedos R, Torrado M, Tovani-Palone MR, Vasankari TJ, Veroux M, Viner RM, Werdecker A, Winkler AS, Hay SI, Ferrari AJ, Naghavi M, Allebeck P, Monasta L. The burden of mental disorders, substance use disorders and self-harm among young people in Europe, 1990-2019: Findings from the Global Burden of Disease Study 2019. Lancet Reg Health Eur 2022; 16:100341. [PMID: 35392452 PMCID: PMC8980870 DOI: 10.1016/j.lanepe.2022.100341] [Citation(s) in RCA: 57] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Background Mental health is a public health issue for European young people, with great heterogeneity in resource allocation. Representative population-based studies are needed. The Global Burden of Disease (GBD) Study 2019 provides internationally comparable information on trends in the health status of populations and changes in the leading causes of disease burden over time. Methods Prevalence, incidence, Years Lived with Disability (YLDs) and Years of Life Lost (YLLs) from mental disorders (MDs), substance use disorders (SUDs) and self-harm were estimated for young people aged 10-24 years in 31 European countries. Rates per 100,000 population, percentage changes in 1990-2019, 95% Uncertainty Intervals (UIs), and correlations with Sociodemographic Index (SDI), were estimated. Findings In 2019, rates per 100,000 population were 16,983 (95% UI 12,823 - 21,630) for MDs, 3,891 (3,020 - 4,905) for SUDs, and 89·1 (63·8 - 123·1) for self-harm. In terms of disability, anxiety contributed to 647·3 (432-912·3) YLDs, while in terms of premature death, self-harm contributed to 319·6 (248·9-412·8) YLLs, per 100,000 population. Over the 30 years studied, YLDs increased in eating disorders (14·9%;9·4-20·1) and drug use disorders (16·9%;8·9-26·3), and decreased in idiopathic developmental intellectual disability (-29·1%;23·8-38·5). YLLs decreased in self-harm (-27·9%;38·3-18·7). Variations were found by sex, age-group and country. The burden of SUDs and self-harm was higher in countries with lower SDI, MDs were associated with SUDs. Interpretation Mental health conditions represent an important burden among young people living in Europe. National policies should strengthen mental health, with a specific focus on young people. Funding The Bill and Melinda Gates Foundation.
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Affiliation(s)
- Giulio Castelpietra
- Outpatient and Inpatient Care Service, Central Health Directorate, Region Friuli Venezia Giulia, Italy
| | | | - Emilie E. Agardh
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
| | - Benedetta Armocida
- Department of Cardiovascular, Endocrine-metabolic Diseases and Aging, National Institute of Health, Rome, Italy
| | | | | | - Giancarlo Logroscino
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
- Department of Clinical Research in Neurology, Fondazione Cardinale Giovanni Panico Hospital, Tricase, Italy
| | - Rui Ma
- Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington, Seattle, WA, USA
| | - Fabrizio Starace
- Department of Mental Health & Drug Abuse, AUSL Modena, Modena, Italy
| | - Nicholas Steel
- Department of Primary Care and Public Health, University of East Anglia, Norwich, UK
- Public Health England, London, UK
| | | | | | - Tudorel Andrei
- Department of Statistics and Econometrics Bucharest Carol Davila University of Economic Studies, Bucharest, Romania
| | - Jose L Ayuso-Mateos
- CIBERSAM, Institute of Health Carlos III, Madrid, Spain
- Department of Psychiatry, Universidad Autónoma de Madrid (Autonomous University of Madrid), Madrid, Spain
| | - Maciej Banach
- Department of Hypertension, Medical University of Lodz, Lodz, Poland
- Polish Mothers' Memorial Hospital Research Institute, Lodz, Poland
| | - Till Winfried Bärnighausen
- Heidelberg Institute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany
- T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | | | - Akshaya Srikanth Bhagavathula
- Department of Social and Clinical Pharmacy, Charles University, Hradec Kralova, Czech Republic
- Institute of Public Health, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Felix Carvalho
- Research Unit on Applied Molecular Biosciences (UCIBIO), University of Porto, Porto, Portugal
| | - Márcia Carvalho
- Research Unit on Applied Molecular Biosciences (UCIBIO), University of Porto, Porto, Portugal
- Faculty of Health Sciences, University Fernando Pessoa, Porto, Portugal
| | - Joht Singh Chandan
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Vijay Kumar Chattu
- Faculty of Medical Sciences, University of the West Indies, St Augustine, Trinidad and Tobago
- Independent Consultant, Athens, Greece
| | - Rosa A.S. Couto
- Department of Chemical Sciences, University of Porto, Porto, Portugal
| | - Natália Cruz-Martins
- Department of Medicine (Prof N Cruz-Martins PhD), University of Porto, Porto, Portugal
- Department of Health Sciences Institute of Research and Advanced Training in Health Sciences and Technologies (CESPU), Famalicão, Portugal
| | - Paul I. Dargan
- Faculty of Life Sciences and Medicine, King's College London, London, UK
- Department of Clinical Toxicology, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Keshab Deuba
- National Centre for AIDS and STD Control, Save the Children, Kathmandu, Nepal
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
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- Epidemiology and Medical Statistics, University of Ibadan, Ibadan, Nigeria
- Population and Behavioural Sciences, University of St Andrews, St Andrews, UK
| | - Eduarda Fernandes
- Associated Laboratory for Green Chemistry (LAQV), University of Porto, Porto, Portugal
| | - Pietro Ferrara
- Research Center on Public Health, University of Milan Bicocca, Monza, Italy
| | - Florian Fischer
- Institute of Public Health, Charité Universitätsmedizin Berlin (Charité Medical University Berlin), Berlin, Germany
| | - Peter Andras Gaal
- Health Services Management Training Centre, Semmelweis University, Budapest, Hungary
- Department of Applied Social Sciences, Sapientia Hungarian University of Transylvania, Târgu-Mureş, Romania
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- Department of Public Health, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Josep Maria Haro
- Research Unit, University of Barcelona, Barcelona, Spain
- Biomedical Research Networking Center for Mental Health Network (CiberSAM), Barcelona, Spain
| | - M. Tasdik Hasan
- Department of Pharmacy, University of Huddersfield, Huddersfield, UK
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, NSW, Australia
| | - Syed Shahzad Hasan
- Department of Primary Care and Mental Health, University of Liverpool, Liverpool, UK
| | - Sorin Hostiuc
- Department of Legal Medicine and Bioethics, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- Clinical Legal Medicine Department, National Institute of Legal Medicine Mina Minovici, Bucharest, Romania
| | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy
- Research Center in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, Varese, Italy
| | - Ivo Iavicoli
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Elham Jamshidi
- Functional Neurosurgery Research Center, Shahid Beheshti University of Medical Sciences, Tehram, Iran
- Division of Pulmonary Medicine, University of Lausanne (UNIL), Lausanne, Switzerland
| | - Jost B. Jonas
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, Heidelberg University, Mannheim, Germany
| | - Tamas Joo
- Health Services Management Training Centre, Semmelweis University, Budapest, Hungary
| | - Jacek Jerzy Jozwiak
- Department of Family Medicine and Public Health, University of Opole, Opole, Poland
| | | | - Joonas H. Kauppila
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
- Surgery Research Unit, University of Oulu, Oulu, Finland
| | - Moien A.B. Khan
- Family Medicine Department, United Arab Emirates University, Al Ain, United Arab Emirates
- Primary Care Department, NHS North West London, London, UK
| | - Adnan Kisa
- School of Health Sciences, Kristiania University College, Oslo, Norway
- Department of Global Community Health and Behavioral Sciences, Tulane University, New Orleans, LA, USA
| | - Sezer Kisa
- Department of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway
| | - Mika Kivimäki
- Department of Epidemiology and Public Health University College London, London, UK
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Kamrun Nahar Koly
- Health System and Population Studies Divisions, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
- Center for Global Mental Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Ai Koyanagi
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), San Juan de Dios Sanitary Park, Sant Boi de Llobregat, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Manasi Kumar
- Division of Psychology and Language Sciences, University College London, London, UK
- Department of Psychiatry, University of Nairobi, Nairobi, Kenya
| | - Tea Lallukka
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Berthold Langguth
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Caterina Ledda
- Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Paul H. Lee
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Ilaria Lega
- National Center for Disease Prevention and Health Promotion, Istituto Superiore di Sanità - Italian National Insitute of Health, Rome, Italy
| | - Christine Linehan
- UCD Centre for Disability Studies, University College Dublin, Dublin, Ireland
| | - Joana A. Loureiro
- Laboratory for Process Engineering, Environment, Biotechnology and Energy (LEPABE) University of Porto, Porto, Portugal
- School of Health, Polytechnic Institute of Porto, Portugal
| | - Áurea M Madureira-Carvalho
- Associated Laboratory for Green Chemistry (LAQV), University of Porto, Porto, Portugal
- Institute for Research and Advanced Training in Health Sciences and Technologies, Instituto Universitário de Ciências da Saúde (University Institute of Health Sciences), Gandra, Portugal
| | - Jose Martinez-Raga
- Psychiatry Department, Hospital Universitario Doctor Peset, Valencia, Spain
- Department of Medicine, University of Valencia, Valencia, Spain
| | - Manu Raj Mathur
- Health Policy Research Public Health Foundation of India, Gurugram, India
- Institute of Population Health Sciences, University of Liverpool, Liverpool, UK
| | - John J. McGrath
- Queensland Brain Institute, School of Public Health, The University of Queensland, Brisbane, QLD, Australia
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - Enkeleint A. Mechili
- Department of Healthcare, University of Vlora, Vlora city, Albania
- Clinic of Social and Family Medicine, University of Crete, Heraklion, Greece
| | | | - Tomislav Mestrovic
- Clinical Microbiology and Parasitology Unit, Dr. Zora Profozic Polyclinic, Zagreb, Croatia
- University Centre Varazdin, University North, Varazdin, Croatia
| | - Bartosz Miazgowski
- Center for Innovation in Medical Education, Pomeranian Medical University, Szczecin, Poland
| | - Andreea Mirica
- Department of Statistics and Econometrics Bucharest University of Economic Studies, Bucharest, Romania
| | - Antonio Mirijello
- Department of Medical Sciences IRCCS Casa Sollievo della Sofferenza General Hospital, San Giovanni Rotondo, Italy
| | - Babak Moazen
- Heidelberg Institute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany
- Institute of Addiction Research (ISFF), Frankfurt University of Applied Sciences, Frankfurt, Germany
| | - Shafiu Mohammed
- Health Systems and Policy Research Unit, Ahmadu Bello University, Zaria, Nigeria
- Department of Health Care Management, Technical University of Berlin, Berlin, Germany
| | - Francesk Mulita
- Department of Surgery, General University Hospital of Patras, Patras, Greece
- Medical School, University of Thessaly, Larissa, Greece
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry Ulm University, Ulm, Germany
| | - Ionut Negoi
- Department of General Surgery Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- Department of General Surgery, Emergency Hospital of Bucharest, Bucharest, Romania
| | - Ruxandra Irina Negoi
- Department of Anatomy and Embryology Romania, Bucharest, Romania
- Cardio-Aid, Bucharest, Romania
| | - Vincent Ebuka Nwatah
- Department of Pediatrics, National Hospital, Abuja, Nigeria
- Department of International Public Health, University of Liverpool, Liverpool, UK
| | | | | | - Shahina Pardhan
- Vision and Eye Research Institute, Anglia Ruskin University, Cambridge, UK
| | - Maja Pasovic
- Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington, Seattle, WA, USA
| | - Jay Patel
- Global Health Governance Programme, University of Edinburgh, Edinburgh, UK
- School of Dentistry, University of Leeds, Leeds, UK
| | - Ionela-Roxana Petcu
- Department of Statistics and Econometrics Bucharest University of Economic Studies, Bucharest, Romania
| | - Marina Pinheiro
- Department of Chemistry, University of Porto, Porto, Portugal
| | | | - Maarten J. Postma
- University Medical Center Groningen, School of Economics and Business University of Groningen, Groningen, Netherlands
| | - David Laith Rawaf
- WHO Collaborating Centre for Public Health Education and Training Imperial College London, London, UK
| | - Salman Rawaf
- Department of Primary Care and Public Health, Imperial College London, London, UK
- University College London Hospitals, London, UK
- Academic Public Health England, London, UK
| | - Esperanza Romero-Rodríguez
- Clinical and Epidemiological Research in Primary Care (GICEAP), Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
| | - Luca Ronfani
- Clinical Epidemiology and Public Health Research Unit, Burlo Garofolo Institute for Maternal and Child Health, Trieste, Italy
| | - Dominic Sagoe
- Department of Psychosocial Science University of Bergen, Bergen, Norway
| | - Francesco Sanmarchi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Michael P Schaub
- Swiss Research Institute for Public Health and Addiction University of Zürich, Zurich, Switzerland
| | - Nigussie Tadesse Sharew
- Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE) University of Groningen, Groningen, Netherlands
- Department of Nursing, Debre Berhan University, Debre Berhan, Ethiopia
| | - Rahman Shiri
- Finnish Institute of Occupational Health, Helsinki, Finland
| | - Farhad Shokraneh
- London Institute for Healthcare Engineering, King's College London, London, UK
- Division of Psychiatry and Applied Psychology, University of Nottingham, Nottingham, UK
| | - Inga Dora Sigfusdottir
- Department of Psychology, Reykjavik University, Reykjavik, Iceland
- Department of Health and Behavior Studies, Columbia University, New York, NY, USA
| | - João Pedro Silva
- Research Unit on Applied Molecular Biosciences (UCIBIO), University of Porto, Porto, Portugal
| | - Renata Silva
- Department of Biological Sciences, University of Porto, Porto, Portugal
| | - Bogdan Socea
- Surgery, "Sf. Pantelimon" Emergency Clinical Hospital Bucharest, Bucharest, Romania
| | - Miklós Szócska
- Faculty of Health and Public Administration, Semmelweis University, Budapest, Hungary
| | - Rafael Tabarés-Seisdedos
- Department of Medicine, University of Valencia, Valencia, Spain
- Carlos III Health Institute, Biomedical Research Networking Center for Mental Health Network (CiberSAM), Madrid, Spain
| | - Marco Torrado
- Psychiatry and Medical Psychology Department, University of Lisbon, Lisbon, Portugal
- Child and Adolescent Mental Health Services (CAMHS), Hospital Garcia de Orta, Almada, Portugal
| | - Marcos Roberto Tovani-Palone
- Department of Pathology and Legal Medicine, University of São Paulo, Ribeirão Preto, Brazil
- Modestum LTD, London, UK
| | - Tommi Juhani Vasankari
- UKK Institute, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Massimiliano Veroux
- Department of Medical and Surgical Sciences and Advanced Technologies, University of Catania, Catania, Italy
| | - Russell M. Viner
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Andrea Werdecker
- Demographic Change and Aging Research Area, Federal Institute for Population Research, Wiesbaden, Germany
| | - Andrea Sylvia Winkler
- Institute of Health and Society, University of Oslo, Oslo, Norway
- Department of Neurology, Technical University of Munich, Munich, Germany
| | - Simon I. Hay
- Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Alize J. Ferrari
- Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington, Seattle, WA, USA
- School of Public Health (A J Ferrari PhD), The University of Queensland, Brisbane, QLD, Australia
| | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Peter Allebeck
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
| | - Lorenzo Monasta
- Clinical Epidemiology and Public Health Research Unit, Burlo Garofolo Institute for Maternal and Child Health, Trieste, Italy
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Giurin MS, Trojniak MP, Arbo A, Carrozzi M, Abbracciavento G, Monasta L, Zanus C. Safety of Off-Label Pharmacological Treatment in Pediatric Neuropsychiatric Disorders: A Global Perspective From an Observational Study at an Italian Third Level Children’s Hospital. Front Pharmacol 2022; 13:837692. [PMID: 35496268 PMCID: PMC9039008 DOI: 10.3389/fphar.2022.837692] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 03/04/2022] [Indexed: 11/13/2022] Open
Abstract
Background: The acquisition of proper and relevant pediatric clinical data is essential to ensure tolerable and effective pediatric drug therapies. In the field of pharmacological treatment of neuropsychiatric disorders, the lack of sufficient high quality scientific evidence for pediatric age results in the frequent need to prescribe off-label drugs. With the aim of improving knowledge about safety profile of off-label drug prescription in children and adolescent with neurological and/or psychiatric disorders, we realized a multidisciplinary pharmacovigilance study. Materials and methods: An observational retrospective study was conducted to assess the safety of off-label pharmacological therapies in patients aged 0–18 years, admitted to the Neuropsychiatry Unit of the Institute for Maternal and Child Health - IRCCS “Burlo Garofolo” between January 2016 and December 2018. Prescription patterns and adverse drug reactions were evaluated by a multidisciplinary team. Results: Overall, 230 patients were enrolled, 48% boys (N = 111), 52% girls (N = 119), average age of 10 years, and a total of 534 prescriptions was analyzed. 54.5% (N = 125) of patients had epilepsy, 37.5% (N = 86) suffered from psychiatric disorders, 8% (N = 19) had other neurological disorders. The prevalence of off-label prescriptions was 32% and 50% of the study population received at least one off-label drug. A total of 106 ADRs was detected: 57% of ADRs were due to drug-drug interactions, 30% were due to off-label prescriptions, 10% were due to overdose and 3% were due to improper use. No significant association between emerged ADRs and off label prescriptions was found (Fisher’s exact two-tailed test, p = 1.000). There was significant association between increasing number of administrated drugs and risk of ADRs (OR 1.99; IC95% 1.58–2.5; p = 0.000). Psychiatric disorders were associated with at least three times higher risk to be treated with an off-label drug (OR 3.30; IC95% 2.26–4.83; p = 0.000). Conclusions: This study shows that off-label prescribing in neuropsychiatric disorders does not pose a greater risk of ADRs than on-label prescribing and highlights unmet clinical needs in pediatric neuropsychopharmacology. The multidisciplinary approach can provide important contributions to improve therapeutic path of these already complex pathologies by careful monitoring of therapeutic appropriateness and drug interactions.
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Raggi A, Monasta L, Beghi E, Caso V, Castelpietra G, Mondello S, Giussani G, Logroscino G, Magnani FG, Piccininni M, Pupillo E, Ricci S, Ronfani L, Santalucia P, Sattin D, Schiavolin S, Toppo C, Traini E, Steinmetz J, Nichols E, Ma R, Vos T, Feigin V, Leonardi M. Incidence, prevalence and disability associated with neurological disorders in Italy between 1990 and 2019: an analysis based on the Global Burden of Disease Study 2019. J Neurol 2022; 269:2080-2098. [PMID: 34498172 PMCID: PMC9938710 DOI: 10.1007/s00415-021-10774-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 08/19/2021] [Accepted: 08/25/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Neurological conditions are highly prevalent and disabling, in particular in the elderly. The Italian population has witnessed sharp ageing and we can thus expect a rising trend in the incidence, prevalence and disability of these conditions. METHODS We relied on the Global Burden of Disease 2019 study to extract Italian data on incidence, prevalence and years lived with a disability (YLDs) referred to a broad set of neurological disorders including, brain and nervous system cancers, stroke, encephalitis, meningitis, tetanus, traumatic brain injury, and spinal cord injury. We assessed changes between 1990 and 2019 in counts and age-standardized rates. RESULTS The most prevalent conditions were tension-type headache, migraine, and dementias, whereas the most disabling were migraine, dementias and traumatic brain injury. YLDs associated with neurological conditions increased by 22.5%, but decreased by 2.3% in age-standardized rates. The overall increase in prevalence and YLDs counts was stronger for non-communicable diseases with onset in old age compared to young to adult-age onset ones. The same trends were in the opposite direction when age-standardized rates were taken into account. CONCLUSIONS The increase in YLDs associated with neurological conditions is mostly due to population ageing and growth: nevertheless, lived disability and, as a consequence, impact on health systems has increased. Actions are needed to improve outcome and mitigate disability associated with neurological conditions, spanning among diagnosis, treatment, care pathways and workplace interventions.
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Affiliation(s)
- Alberto Raggi
- Neurology, Public Health and Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy.
| | - Lorenzo Monasta
- S.C.R. Epidemiologia Clinica e Ricerca Sui Servizi Sanitari, IRCCS Materno Infantile “Burlo Garofolo”, Trieste, Italy
| | - Ettore Beghi
- Department of Neurosciences, IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy
| | - Valeria Caso
- Stroke Unit and Division of Internal and Cardiovascular Medicine, Università di Perugia, Perugia, Italy
| | - Giulio Castelpietra
- Region Friuli Venezia Giulia, Central Health Directorate, Outpatient and Inpatient Care Service, Trieste, Italy
| | - Stefania Mondello
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Giorgia Giussani
- Department of Neurosciences, IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy
| | - Giancarlo Logroscino
- Department of Basic Medical Sciences, Neuroscience, and Sense Organs, Università di Bari Aldo Moro, Bari, Italy
| | - Francesca Giulia Magnani
- Neurology, Public Health and Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133 Milan, Italy
| | - Marco Piccininni
- Institute of Public Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Elisabetta Pupillo
- Department of Neurosciences, IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy
| | - Stefano Ricci
- Neurology and Stroke Unit, USL Umbria 1, Gubbio and Cittá di Castello Hospital, Perugia, Italy
| | - Luca Ronfani
- S.C.R. Epidemiologia Clinica e Ricerca Sui Servizi Sanitari, IRCCS Materno Infantile “Burlo Garofolo”, Trieste, Italy
| | - Paola Santalucia
- Neurology and Stroke Unit, Ospedale San Giuseppe-Multimedica, Milan, Italy
| | - Davide Sattin
- Neurology, Public Health and Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133 Milan, Italy
| | - Silvia Schiavolin
- Neurology, Public Health and Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133 Milan, Italy
| | - Claudia Toppo
- Neurology, Public Health and Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133 Milan, Italy
| | - Eugenio Traini
- S.C.R. Epidemiologia Clinica e Ricerca Sui Servizi Sanitari, IRCCS Materno Infantile “Burlo Garofolo”, Trieste, Italy,Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Jaimie Steinmetz
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Emma Nichols
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Rui Ma
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Theo Vos
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Valery Feigin
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, Australia
| | - Matilde Leonardi
- Neurology, Public Health and Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133 Milan, Italy
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Zamagni G, Armocida B, Abbafati C, Ronfani L, Monasta L. COVID-19 Vaccination Coverage in Italy: How Many Hospitalisations and Related Costs Could Have Been Saved If We Were All Vaccinated? Front Public Health 2022; 10:825416. [PMID: 35309223 PMCID: PMC8927714 DOI: 10.3389/fpubh.2022.825416] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 01/28/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Giulia Zamagni
- Clinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy
| | - Benedetta Armocida
- Clinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy
| | - Cristiana Abbafati
- Department of Juridical and Economic Studies, Sapienza University of Rome, Rome, Italy
| | - Luca Ronfani
- Clinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy
| | - Lorenzo Monasta
- Clinical Epidemiology and Public Health Research Unit, Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy
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