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Naghavi M, Ong KL, Aali A, Ababneh HS, Abate YH, Abbafati C, Abbasgholizadeh R, Abbasian M, Abbasi-Kangevari M, Abbastabar H, Abd ElHafeez S, Abdelmasseh M, Abd-Elsalam S, Abdelwahab A, Abdollahi M, Abdollahifar MA, Abdoun M, Abdulah DM, Abdullahi A, Abebe M, Abebe SS, Abedi A, Abegaz KH, Abhilash ES, Abidi H, Abiodun O, Aboagye RG, Abolhassani H, Abolmaali M, Abouzid M, Aboye GB, Abreu LG, Abrha WA, Abtahi D, Abu Rumeileh S, Abualruz H, Abubakar B, Abu-Gharbieh E, Abu-Rmeileh NME, Aburuz S, Abu-Zaid A, Accrombessi MMK, Adal TG, Adamu AA, Addo IY, Addolorato G, Adebiyi AO, Adekanmbi V, Adepoju AV, Adetunji CO, Adetunji JB, Adeyeoluwa TE, Adeyinka DA, Adeyomoye OI, Admass BAA, Adnani QES, Adra S, Afolabi AA, Afzal MS, Afzal S, Agampodi SB, Agasthi P, Aggarwal M, Aghamiri S, Agide FD, Agodi A, Agrawal A, Agyemang-Duah W, Ahinkorah BO, Ahmad A, Ahmad D, Ahmad F, Ahmad MM, Ahmad S, Ahmad S, Ahmad T, Ahmadi K, Ahmadzade AM, Ahmed A, Ahmed A, Ahmed H, Ahmed LA, Ahmed MS, Ahmed MS, Ahmed MB, 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K, Deng X, Denova-Gutiérrez E, Deravi N, Dereje N, Dervenis N, Dervišević E, Des Jarlais DC, Desai HD, Desai R, Devanbu VGC, Dewan SMR, Dhali A, Dhama K, Dhimal M, Dhingra S, Dhulipala VR, Dias da Silva D, Diaz D, Diaz MJ, Dima A, Ding DD, Ding H, Dinis-Oliveira RJ, Dirac MA, Djalalinia S, Do THP, do Prado CB, Doaei S, Dodangeh M, Dodangeh M, Dohare S, Dokova KG, Dolecek C, Dominguez RMV, Dong W, Dongarwar D, D'Oria M, Dorostkar F, Dorsey ER, dos Santos WM, Doshi R, Doshmangir L, Dowou RK, Driscoll TR, Dsouza HL, Dsouza V, Du M, Dube J, Duncan BB, Duraes AR, Duraisamy S, Durojaiye OC, Dwyer-Lindgren L, Dzianach PA, Dziedzic AM, E'mar AR, Eboreime E, Ebrahimi A, Echieh CP, Edinur HA, Edvardsson D, Edvardsson K, Efendi D, Efendi F, Effendi DE, Eikemo TA, Eini E, Ekholuenetale M, Ekundayo TC, El Sayed I, Elbarazi I, Elema TB, Elemam NM, Elgar FJ, Elgendy IY, ElGohary GMT, Elhabashy HR, Elhadi M, El-Huneidi W, Elilo LT, Elmeligy OAA, Elmonem MA, Elshaer M, Elsohaby I, Emeto TI, Engelbert 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Ghahramani S, Ghailan KY, Ghasemi MR, Ghasempour Dabaghi G, Ghasemzadeh A, Ghashghaee A, Ghassemi F, Ghazy RM, Ghimire A, Ghoba S, Gholamalizadeh M, Gholamian A, Gholamrezanezhad A, Gholizadeh N, Ghorbani M, Ghorbani Vajargah P, Ghoshal AG, Gill PS, Gill TK, Gillum RF, Ginindza TG, Girmay A, Glasbey JC, Gnedovskaya EV, Göbölös L, Godinho MA, Goel A, Golchin A, Goldust M, Golechha M, Goleij P, Gomes NGM, Gona PN, Gopalani SV, Gorini G, Goudarzi H, Goulart AC, Goulart BNG, Goyal A, Grada A, Graham SM, Grivna M, Grosso G, Guan SY, Guarducci G, Gubari MIM, Gudeta MD, Guha A, Guicciardi S, Guimarães RA, Gulati S, Gunawardane DA, Gunturu S, Guo C, Gupta AK, Gupta B, Gupta MK, Gupta M, Gupta RD, Gupta R, Gupta S, Gupta VB, Gupta VK, Gupta VK, Gurmessa L, Gutiérrez RA, Habibzadeh F, Habibzadeh P, Haddadi R, Hadei M, Hadi NR, Haep N, Hafezi-Nejad N, Hailu A, Haj-Mirzaian A, Halboub ES, Hall BJ, Haller S, Halwani R, Hamadeh RR, Hameed S, Hamidi S, Hamilton EB, Han C, Han Q, Hanif A, Hanifi N, 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A, Lai DTC, Lal DK, Lalloo R, Lallukka T, Lam H, Lám J, Landrum KR, Lanfranchi F, Lang JJ, Langguth B, Lansingh VC, Laplante-Lévesque A, Larijani B, Larsson AO, Lasrado S, Lassi ZS, Latief K, Latifinaibin K, Lauriola P, Le NHH, Le TTT, Le TDT, Ledda C, Ledesma JR, Lee M, Lee PH, Lee SW, Lee SWH, Lee WC, Lee YH, LeGrand KE, Leigh J, Leong E, Lerango TL, Li MC, Li W, Li X, Li Y, Li Z, Ligade VS, Likaka ATM, Lim LL, Lim SS, Lindstrom M, Linehan C, Liu C, Liu G, Liu J, Liu R, Liu S, Liu X, Liu X, Llanaj E, Loftus MJ, López-Bueno R, Lopukhov PD, Loreche AM, Lorkowski S, Lotufo PA, Lozano R, Lubinda J, Lucchetti G, Lugo A, Lunevicius R, Ma ZF, Maass KL, Machairas N, Machoy M, Madadizadeh F, Madsen C, Madureira-Carvalho ÁM, Maghazachi AA, Maharaj SB, Mahjoub S, Mahmoud MA, Mahmoudi A, Mahmoudi E, Mahmoudi R, Majeed A, Makhdoom IF, Malakan Rad E, Maled V, Malekzadeh R, Malhotra AK, Malhotra K, Malik AA, Malik I, Malta DC, Mamun AA, Mansouri P, Mansournia MA, Mantovani LG, Maqsood S, Marasini 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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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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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Aithal S, Sinha A, Pathak M, Rathod K, Jadhav A, Saxena R, Nayak S, Bhaskar S. Bladder height to width ratio as a surrogate marker for non-physiological storage pressures in children with spinal dysraphism. Pediatr Surg Int 2024; 40:114. [PMID: 38683501 DOI: 10.1007/s00383-024-05696-y] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/09/2024] [Indexed: 05/01/2024]
Abstract
INTRODUCTION Spinal dysraphism is the most frequent cause of neurogenic bladder. Urodynamic study (UDS) is an important component of the follow-up of a child with neurogenic bladder. However, it suffers from a lack of widespread availability and is further hampered by technical difficulties and difficulty in its interpretation in children. A neurogenic bladder often appears vertically elongated; only limited and sparse literature is available regarding objectively defining the bladder shape and the urodynamic parameters in the cohort. OBJECTIVES This study aimed to investigate the usefulness of the bladder's height-to-width ratio (HWR) on cystogram as a screening tool for identifying "non-physiological" bladder pressures in children with spinal dysraphism. A prospective study was undertaken to evaluate children operated for spinal dysraphism. Cystogram, ultrasonography and UDS evaluation were performed. HWR was calculated by the ratio of the maximum height to the maximum bladder width at maximum cystometric capacity (MCC), where MCC was calculated using standard Koff's formula, given by (age in years + 2) *30 ml in children more than one year and weight *7 ml for infants. The children were categorised into groups based on maximum detrusor pressure (MDP) into two groups (MDP ≥ 30 cmH2O and MDP < 30 cmH2O). A receiver-operative characteristic curve was constructed to analyse the sensitivity and specificity of HWR in predicting the MDP. RESULTS A total of 53 children, operated for spinal dysraphism, met the study criteria during the study period, from March 2021 to September 2022. The median age of children was 4 years (IQR-3-5.5 years). The HWR ratio was compared between the two groups and was significantly higher for the non-physiological pressure bladders than for physiological pressure bladders (mean of 1.55 vs 1.26, p = 0.001). On evaluating the sensitivity and specificity of HWR for discerning children with non-physiological bladder pressures were 87.5% and 48.28%, respectively. The area under the curve (AUC) was 0.781, with a cut-off value of 1.3. DISCUSSION We attempted to evaluate the HWR based on bladder shape objectively. We demonstrated a moderate correlation between the bladder shape and the bladder pressures. An HWR of 1.3 or higher could be significant for identifying a non-physiological bladder storage pressure. CONCLUSION The height to width ratio of the bladder on cystogram is a useful tool as a surrogate marker for non-physiological storage pressures in bladders of children with spinal dysraphism.
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Affiliation(s)
- Shrilakshmi Aithal
- Department of Pediatric Surgery, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India
| | - Arvind Sinha
- Department of Pediatric Surgery, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India.
| | - Manish Pathak
- Department of Pediatric Surgery, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India
| | - Kirtikumar Rathod
- Department of Pediatric Surgery, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India
| | - Avinash Jadhav
- Department of Pediatric Surgery, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India
| | - Rahul Saxena
- Department of Pediatric Surgery, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India
| | - Shubhalaxmi Nayak
- Department of Pediatric Surgery, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India
| | - S Bhaskar
- Department of Pediatric Surgery, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India
- Department of Neurosurgery, All India Institute of Medical Sciences, Jodhpur, India, Rajasthan, 342005
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Nidheesh PV, Kumar M, Venkateshwaran G, Ambika S, Bhaskar S, Vinay, Ghosh P. Conversion of locally available materials to biochar and activated carbon for drinking water treatment. Chemosphere 2024; 353:141566. [PMID: 38428536 DOI: 10.1016/j.chemosphere.2024.141566] [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: 06/19/2023] [Revised: 11/16/2023] [Accepted: 02/25/2024] [Indexed: 03/03/2024]
Abstract
For environmental sustainability and to achieve sustainable development goals (SDGs), drinking water treatment must be done at a reasonable cost with minimal environmental impact. Therefore, treating contaminated drinking water requires materials and approaches that are inexpensive, produced locally, and effortlessly. Hence, locally available materials and their derivatives, such as biochar (BC) and activated carbon (AC) were investigated thoroughly. Several researchers and their findings show that the application of locally accessible materials and their derivatives are capable of the adsorptive removal of organic and inorganic contaminants from drinking water. The application of locally available materials such as lignocellulosic materials/waste and its thermo-chemically derived products, including BC and AC were found effective in the treatment of contaminated drinking water. Thus, this review aims to thoroughly examine the latest developments in the use of locally accessible feedstocks for tailoring BC and AC, as well as their features and applications in the treatment of drinking water. We attempted to explain facts related to the potential mechanisms of BC and AC, such as complexation, co-precipitation, electrostatic interaction, and ion exchange to treat water, thereby achieving a risk-free remediation approach to polluted water. Additionally, this research offers guidance on creating efficient household treatment units based on the health risks associated with customized adsorbents and cost-benefit analyses. Lastly, this review work discusses the current obstacles for using locally accessible materials and their thermo-chemically produced by-products to purify drinking water, as well as the necessity for technological interventions.
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Affiliation(s)
- P V Nidheesh
- Environmental Impact and Sustainability Division, CSIR - National Environmental Engineering Research Institute, Nagpur, Maharashtra, India.
| | - Manish Kumar
- Amity Institute of Environmental Sciences, Amity University, Noida, India
| | - G Venkateshwaran
- Department of Civil Engineering, Indian Institute of Technology Hyderabad, India
| | - S Ambika
- Department of Civil Engineering, Indian Institute of Technology Hyderabad, India
| | - S Bhaskar
- Department of Civil Engineering, National Institute of Technology, Calicut, NIT Campus, P.O 673 601, Kozhikode, India
| | - Vinay
- Environmental Risk Assessment and Management (EnRAM) Lab, Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, 110016, India; Industrial Pollution Control-IV Division, Central Pollution Control Board (CPCB), Ministry of Environment, Forest and Climate Change (MoEF&CC), Parivesh Bhawan, East Arjun Nagar, Delhi, 110032, India
| | - Pooja Ghosh
- Environmental Risk Assessment and Management (EnRAM) Lab, Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, 110016, India
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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, 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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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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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Kim MS, Hwang J, Yon DK, Lee SW, Jung SY, Park S, Johnson CO, Stark BA, Razo C, Abbasian M, Abbastabar H, Abhari AP, Aboyans V, Adane DEA, Adebayo OM, Alahdab F, Almustanyir S, Aly H, Ameyaw EK, Anderson JA, Andrei CL, Aryan Z, Aujayeb A, Bagherieh S, Baltatu OC, Banach M, Bayileyegn NS, Bearne LM, Behnoush AH, Bensenor IM, Bhaskar S, Bhat AN, Bhat V, Bikbov B, Bintoro BS, Burkart K, Cámera LA, Catapano AL, Chandrasekar EK, Charan J, Chattu VK, Chi G, Chukwu IS, Chung SC, Cirillo M, Coberly K, Costa VM, Dadras O, Dai X, Do TC, Doshi R, Ekholuenetale M, Elgendy IY, Elhadi M, Fagbamigbe AF, Feizkhah A, Fekadu G, Gill PS, Goldust M, Golechha M, Guan SY, Gupta VK, Hadei M, Hadi NR, Hammoud A, Hankey GJ, Harlianto NI, Hasaballah AI, Hassan S, Hassen MB, Heidari G, Hostiuc M, Ilesanmi OS, Iwagami M, Jokar M, Jonas JB, Joshua CE, Jozwiak JJ, Kazemian S, Keykhaei M, Khalaji A, Khan MAB, Khateri S, Kibret BG, Korzh O, Koulmane Laxminarayana SL, Krishan K, Kumar A, Kumar M, Kuttikkattu A, Laksono T, Larijani B, Le TTT, Lim SS, Liu X, Lorkowski S, Magdy Abd El Razek H, Malhotra K, Manla Y, Maugeri A, Mentis AFA, Mestrovic T, Micheletti Gomide Nogueira de Sá AC, Mirica A, Mirrakhimov EM, Misganaw A, Mishra M, Mohammad Y, Mokdad AH, Moni MA, Montasir AA, Moradi Y, Moraga P, Morovatdar N, Mousavi-Aghdas SA, Murray CJL, Naghavi M, Nair TS, Nassereldine H, Natto ZS, Nguyen DH, Nguyen HQ, Nguyen VT, Noubiap JJ, Oancea B, Oliveira GMM, Owolabi MO, Padron-Monedero A, Perico N, Petcu IR, Radfar A, Rafferty Q, Rahman M, Rahman MA, Ram P, Rashedi S, Rashid AM, Rawaf S, Remuzzi G, Renzaho AMN, Rezaee M, Roever L, Saad AMA, Saadatagah S, Sadeghi M, Sahebkar A, Saleh MA, Samy AM, Santric-Milicevic MM, Sepanlou SG, Seylani A, Sharfaei S, Shorofi SA, Singh JA, Singh P, Spartalis M, Sundström J, Tan KK, Teramoto M, Tharwat S, Tyrovolas S, Valadan Tahbaz S, Van den Eynde J, Vart P, Wang C, Wang F, Westerman R, Xia J, Xu S, Yada DY, Yamagishi K, Yonemoto N, Zahir M, Zangiabadian M, Zarrintan A, Zastrozhin MS, Zastrozhina A, Zoladl M, Hay SI, Shin JI, Roth GA. Global burden of peripheral artery disease and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Glob Health 2023; 11:e1553-e1565. [PMID: 37734799 PMCID: PMC10522777 DOI: 10.1016/s2214-109x(23)00355-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 07/11/2023] [Accepted: 07/17/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Peripheral artery disease is a growing public health problem. We aimed to estimate the global disease burden of peripheral artery disease, its risk factors, and temporospatial trends to inform policy and public measures. METHODS Data on peripheral artery disease were modelled using the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2019 database. Prevalence, disability-adjusted life years (DALYs), and mortality estimates of peripheral artery disease were extracted from GBD 2019. Total DALYs and age-standardised DALY rate of peripheral artery disease attributed to modifiable risk factors were also assessed. FINDINGS In 2019, the number of people aged 40 years and older with peripheral artery disease was 113 million (95% uncertainty interval [UI] 99·2-128·4), with a global prevalence of 1·52% (95% UI 1·33-1·72), of which 42·6% was in countries with low to middle Socio-demographic Index (SDI). The global prevalence of peripheral artery disease was higher in older people, (14·91% [12·41-17·87] in those aged 80-84 years), and was generally higher in females than in males. Globally, the total number of DALYs attributable to modifiable risk factors in 2019 accounted for 69·4% (64·2-74·3) of total peripheral artery disease DALYs. The prevalence of peripheral artery disease was highest in countries with high SDI and lowest in countries with low SDI, whereas DALY and mortality rates showed U-shaped curves, with the highest burden in the high and low SDI quintiles. INTERPRETATION The total number of people with peripheral artery disease has increased globally from 1990 to 2019. Despite the lower prevalence of peripheral artery disease in males and low-income countries, these groups showed similar DALY rates to females and higher-income countries, highlighting disproportionate burden in these groups. Modifiable risk factors were responsible for around 70% of the global peripheral artery disease burden. Public measures could mitigate the burden of peripheral artery disease by modifying risk factors. 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 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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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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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Prasad JVNS, Veni VG, Srinivasarao C, Kundu S, Ramakrishna B, Sammi Reddy K, Singh R, Singh SK, Murai AS, Rohilla PP, Makkar GS, Rampal VK, Grover J, Brar JS, Goyal NK, Jakhar DS, Kiran BVS, Singh VK, Bhaskar S. Can adoption of climate resilient management practices achieve carbon neutrality in traditional green revolution states of Punjab and Haryana? J Environ Manage 2023; 338:117761. [PMID: 37030142 DOI: 10.1016/j.jenvman.2023.117761] [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: 10/19/2022] [Revised: 02/24/2023] [Accepted: 03/17/2023] [Indexed: 06/19/2023]
Abstract
Decreasing greenhouse gas (GHG) emissions and enhancing soil carbon (C) sequestration in cropland are necessary to achieve carbon neutrality at national scale. The major objective of this study is to quantify the GHG mitigation potential of adopted climate resilient (CR) practices in CR villages using Ex-ACT tool developed by Food and Agriculture Organization (FAO). Intensively cultivated area of Punjab and Haryana was selected for carrying out this study. In both the states, villages were selected by considering the climate for past 30 years. In the selected villages, a set of CR practices were implemented in annuals, perennials, irrigated rice, fertilizer use, land use change and livestock and quantified the GHG mitigation potential in these villages for next twenty years. The tool predicted that the CR practices adopted were successful in enhancing the overall sink (carbon balance) in all the study villages. The villages of Punjab had recorded higher mitigation potential as compared to the villages of Haryana. The overall sink potential in these villages ranged from -354 to -38309 Mg CO2-eq. The change in sink potential varied from 3.16 to 112% with lowest in Radauri and highest in Badhauchhi kalan village. The sink potential got doubled in Badhauchhi kalan village due to stopping rice straw burning and increase in area under perennials by 25%. The source potential varied from 6.33 to -7.44% across the study villages. Even with the implementation of NICRA, there was increase in source by 5.58 and 6.33% in Killi Nihal Singh Wala and Radauri due to irrigated rice, land use change and livestock. Majorly, rice straw burning was seen in most of the study villages, yet, with proper residue management and adoption of CR practices (mainly intermittent flooding) in rice cultivation resulted in emissions reduction up to 5-26% with enhanced productivity up to 15-18%, which can be considered for scaling up. Fertilizer management reduced the emissions by average of 13% across the study villages. Farm gate emission intensity per ton of milk and rice recorded highest emission intensity compared to annuals and perennials suggesting strict implementation of CR practices in rice cultivation and livestock sector. Implementation and scaling up of CR practices could potentially reduce the emissions and make the village C negative in intensive rice-wheat production system.
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Affiliation(s)
- J V N S Prasad
- ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P.O., Hyderabad, 500 059, India
| | - V Girija Veni
- ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P.O., Hyderabad, 500 059, India
| | - Ch Srinivasarao
- ICAR-National Academy of Agricultural Research Management, Rajendranagar, Hyderabad, 500 030, India
| | - Sumanta Kundu
- ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P.O., Hyderabad, 500 059, India.
| | - B Ramakrishna
- ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P.O., Hyderabad, 500 059, India
| | - K Sammi Reddy
- ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P.O., Hyderabad, 500 059, India
| | - Rajbir Singh
- ICAR-Agricultural Technology Application Research Institute, Zone-I, Ludhiana, India
| | - S K Singh
- ICAR-Agricultural Technology Application Research Institute Zone-II, Jodhpur, India
| | - Ashish Santosh Murai
- ICAR-Agricultural Technology Application Research Institute, Zone-I, Ludhiana, India
| | - P P Rohilla
- ICAR-Agricultural Technology Application Research Institute Zone-II, Jodhpur, India
| | | | | | | | | | - N K Goyal
- Krishi Vigyan Kendra (KVK), Yamunanagar, Haryana, India
| | - D S Jakhar
- Krishi Vigyan Kendra (KVK), Sirsa, Haryana, India
| | - B V S Kiran
- ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P.O., Hyderabad, 500 059, India
| | - V K Singh
- ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad P.O., Hyderabad, 500 059, India
| | - S Bhaskar
- Indian Council of Agricultural Research, New Delhi, India
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15
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Srinivasa Rao M, Rama Rao CA, Raju BMK, Subba Rao AVM, Gayatri DLA, Islam A, Prasad TV, Navya M, Srinivas K, Pratibha G, Srinivas I, Prabhakar M, Yadav SK, Bhaskar S, Singh VK, Chaudhari SK. Pest scenario of Helicoverpa armigera (Hub.) on pigeonpea during future climate change periods under RCP based projections in India. Sci Rep 2023; 13:6788. [PMID: 37100788 PMCID: PMC10133267 DOI: 10.1038/s41598-023-32188-1] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 03/23/2023] [Indexed: 04/28/2023] Open
Abstract
Gram pod borer, Helicoverpa armigera (Hub.) is the major insect pest of pigeonpea and prediction of number of generations (no. of gen.) and generation time (gen. time) using growing degree days (GDD) approach during three future climate change periods viz., Near (NP), Distant (DP) and Far Distant (FDP) periods at eleven major pigeonpea growing locations of India was attempted. Multi-model ensemble of Maximum (Tmax) and Minimum (Tmin) temperature data of four Representative Concentration Pathways viz., RCP 2.6, 4.5, 6.0 and 8.5 of Coupled Model Inter comparison Project 5 (CMIP5) models was adopted here. The increase in projected Tmax and Tmin are significant during 3 climate change periods (CCPs) viz., the NP, DP and FDP over base line (BL) period under four RCP scenarios at all locations and would be higher (4.7-5.1 °C) in RCP 8.5 and in FDP. More number of annual (10-17) and seasonal (5-8) gens. are expected to occur with greater percent increase in FDP (8 to 38%) over base line followed by DP (7 to 22%) and NP (5to 10%) periods with shortened annual gen. time (4 to 27%) across 4 RCPs. The reduction of crop duration was substantial in short, medium and long duration pigeonpeas at all locations across 4 RCPs and 3 CCPs. The seasonal no.of gen. is expected to increase (5 to 35%) with shortened gen. time (4 to 26%) even with reduced crop duration across DP and FDP climate periods of 6.0 and 8.5 RCPs in LD pigeonpea. More no. of gen. of H. armigera with reduced gen. time are expected to occur at Ludhiana, Coimbatore, Mohanpur, Warangal and Akola locations over BL period in 4 RCPs when normal duration of pigeonpeas is considered. Geographical location (66 to 72%), climate period (11 to 19%), RCPs (5-7%) and their interaction (0.04-1%) is vital and together explained more than 90% of the total variation in future pest scenario. The findings indicate that the incidence of H. armigera would be higher on pigeonpea during ensuing CCPs in India under global warming context.
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Affiliation(s)
- M Srinivasa Rao
- Principal Scientist (Entomology), ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad, Telangana, 500059, India.
| | - C A Rama Rao
- ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad, 500 059, India
| | - B M K Raju
- ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad, 500 059, India
| | - A V M Subba Rao
- ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad, 500 059, India
| | - D L A Gayatri
- ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad, 500 059, India
| | - Adlul Islam
- ICAR-Natural Resources Management (NRM), Krishi Anusandhan Bhavan, Pusa, New Delhi, India
| | - T V Prasad
- ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad, 500 059, India
| | - M Navya
- ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad, 500 059, India
| | - K Srinivas
- ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad, 500 059, India
| | - G Pratibha
- ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad, 500 059, India
| | - I Srinivas
- ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad, 500 059, India
| | - M Prabhakar
- ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad, 500 059, India
| | - S K Yadav
- ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad, 500 059, India
| | - S Bhaskar
- ICAR-Natural Resources Management (NRM), Krishi Anusandhan Bhavan, Pusa, New Delhi, India
| | - V K Singh
- ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad, 500 059, India
| | - S K Chaudhari
- ICAR-Natural Resources Management (NRM), Krishi Anusandhan Bhavan, Pusa, New Delhi, India
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Rizzo M, Colletti A, Penson PE, Katsiki N, Mikhailidis DP, Toth PP, Gouni-Berthold I, Mancini J, Marais D, Moriarty P, Ruscica M, Sahebkar A, Vinereanu D, Cicero AFG, Banach M, Al-Khnifsawi M, Alnouri F, Amar F, Atanasov AG, Bajraktari G, Banach M, Gouni-Berthold I, Bhaskar S, Bielecka-Dąbrowa A, Bjelakovic B, Bruckert E, Bytyçi I, Cafferata A, Ceska R, Cicero AF, Chlebus K, Collet X, Daccord M, Descamps O, Djuric D, Durst R, Ezhov MV, Fras Z, Gaita D, Gouni-Berthold I, Hernandez AV, Jones SR, Jozwiak J, Kakauridze N, Kallel A, Katsiki N, Khera A, Kostner K, Kubilius R, Latkovskis G, John Mancini G, David Marais A, Martin SS, Martinez JA, Mazidi M, Mikhailidis DP, Mirrakhimov E, Miserez AR, Mitchenko O, Mitkovskaya NP, Moriarty PM, Mohammad Nabavi S, Nair D, Panagiotakos DB, Paragh G, Pella D, Penson PE, Petrulioniene Z, Pirro M, Postadzhiyan A, Puri R, Reda A, Reiner Ž, Radenkovic D, Rakowski M, Riadh J, Richter D, Rizzo M, Ruscica M, Sahebkar A, Serban MC, Shehab AM, Shek AB, Sirtori CR, Stefanutti C, Tomasik T, Toth PP, Viigimaa M, Valdivielso P, Vinereanu D, Vohnout B, von Haehling S, Vrablik M, Wong ND, Yeh HI, Zhisheng J, Zirlik A. Nutraceutical approaches to non-alcoholic fatty liver disease (NAFLD): A position paper from the International Lipid Expert Panel (ILEP). Pharmacol Res 2023; 189:106679. [PMID: 36764041 DOI: 10.1016/j.phrs.2023.106679] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 02/11/2023]
Abstract
Non-Alcoholic Fatty Liver Disease (NAFLD) is a common condition affecting around 10-25% of the general adult population, 15% of children, and even > 50% of individuals who have type 2 diabetes mellitus. It is a major cause of liver-related morbidity, and cardiovascular (CV) mortality is a common cause of death. In addition to being the initial step of irreversible alterations of the liver parenchyma causing cirrhosis, about 1/6 of those who develop NASH are at risk also developing CV disease (CVD). More recently the acronym MAFLD (Metabolic Associated Fatty Liver Disease) has been preferred by many European and US specialists, providing a clearer message on the metabolic etiology of the disease. The suggestions for the management of NAFLD are like those recommended by guidelines for CVD prevention. In this context, the general approach is to prescribe physical activity and dietary changes the effect weight loss. Lifestyle change in the NAFLD patient has been supplemented in some by the use of nutraceuticals, but the evidence based for these remains uncertain. The aim of this Position Paper was to summarize the clinical evidence relating to the effect of nutraceuticals on NAFLD-related parameters. Our reading of the data is that whilst many nutraceuticals have been studied in relation to NAFLD, none have sufficient evidence to recommend their routine use; robust trials are required to appropriately address efficacy and safety.
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Affiliation(s)
- Manfredi Rizzo
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (Promise), University of Palermo, Via del Vespro 141, 90127 Palermo, Italy.
| | - Alessandro Colletti
- Department of Science and Drug Technology, University of Turin, Turin, Italy
| | - Peter E Penson
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK; Liverpool Centre for Cardiovascular Science, Liverpool, UK
| | - Niki Katsiki
- Department of Nutritional Sciences and Dietetics, International Hellenic University, Thessaloniki, Greece; School of Medicine, European University Cyprus, Nicosia, Cyprus
| | - Dimitri P Mikhailidis
- Department of Clinical Biochemistry, Royal Free Campus, Medical School, University College London (UCL), London, UK
| | - Peter P Toth
- The Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA; Preventive Cardiology, CGH Medical Center, Sterling, IL, USA
| | - Ioanna Gouni-Berthold
- Department of Endocrinology, Diabetes and Preventive Medicine, University of Cologne, Germany
| | - John Mancini
- Department of Medicine, Division of Cardiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - David Marais
- Chemical Pathology Division of the Department of Pathology, University of Cape Town Health Science Faculty, Cape Town, South Africa
| | - Patrick Moriarty
- Division of Clinical Pharmacology, Division of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA
| | - Massimiliano Ruscica
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Amirhossein Sahebkar
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Dragos Vinereanu
- Cardiology Department, University and Emergency Hospital, Bucharest, Romania, University of Medicine and Pharmacy Carol Davila, Bucharest, Romania
| | - Arrigo Francesco Giuseppe Cicero
- Hypertension and Cardiovascular disease risk research center, Medical and Surgical Sciences Department, University of Bologna, Bologna, Italy; IRCCS Policlinico S. Orsola-Malpighi, Bologna, Italy
| | - Maciej Banach
- Department of Preventive Cardiology and Lipidology, Medical University of Lodz (MUL), Poland; Polish Mother's Memorial Hospital Research Institute (PMMHRI), Lodz, Poland; Cardiovascular Research Centre, University of Zielona Gora, Zielona Gora, Poland.
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Kumar PV, Bhavani O, Bhaskar S. Spatial and temporal pattern of deficient Indian summer monsoon rainfall (ISMR): impact on Kharif (summer monsoon) food grain production in India. Int J Biometeorol 2023; 67:485-501. [PMID: 36652001 DOI: 10.1007/s00484-023-02428-0] [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: 02/10/2022] [Revised: 12/31/2022] [Accepted: 01/10/2023] [Indexed: 06/17/2023]
Abstract
Despite a significant increasing trend in historical food grain production (FGP) in India, deficient Indian summer monsoon rainfall (ISMR) often causes a reduction in FGP. The present study was carried out to understand temporal and spatial variations in deficient rainfall (drought) and their impact on national and regional FGP of India. Long-term (1901-2020) percentage departure in rainfall and drought areas over the country showed nonsignificant and significant trends, respectively. Subdivisional rainfall showed significant decreasing and increasing trends in 4 and 5 subdivisions, respectively. Drought years of high frequency (once in 3-4 years) and 4 to 5 consecutive drought years (once in 120 years) occurred in northwest and western subdivisions of India. Departure in de-trended production of All India Kharif food grains from its normal (DDP) showed significant quadratic relationship with departure in ISMR from its normal (DRF). Besides the quadratic equation, another multiple regression model taking de-trended crop area, DRF, and drought area as predictor variables was developed for predicting DDP. Both these models, with high R2 (0.8-0.88) between observed and predicted data and low RMSE (2.6-2.7%), can be employed for advanced estimation of DDP of the country and for taking country-level policy decisions by the Indian Government. For the first time, models were formulated to estimate state-wise departure in FGP (DP). In these models, novel indices viz., (i) rainfall departure and irrigation index (RDII) and (ii) physical and socio-economic index (PSEI), were used as predictor variables. These models, with R2 (0.71-0.75) and RMSE of 11.8-14.2(< SD of observed data), hold promise for advance estimation of production loss in states, useful for regional-level planning by the Government of India, and testing them in other countries.
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Affiliation(s)
- P Vijaya Kumar
- Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad (P.O.), Hyderabad, 500059, Telangana, India.
| | - O Bhavani
- Central Research Institute for Dryland Agriculture, Santoshnagar, Saidabad (P.O.), Hyderabad, 500059, Telangana, India
| | - S Bhaskar
- Natural Resources Management Division, Indian Council of Agriculture Research, New Delhi, 110012, India
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Bhaskar S, Jovanovic S, Katyal A, Namboodiri NK, Chatzis D, Banach M. Is COVID-19 another case of the obesity paradox? Results from an international ecological study on behalf of the REPROGRAM Consortium Obesity study group. Arch Med Sci 2023; 19:25-34. [PMID: 36817671 PMCID: PMC9897093 DOI: 10.5114/aoms/136447] [Citation(s) in RCA: 2] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 05/06/2021] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION Obesity has emerged as one of the major risk factors of severe morbidity and cause-specific mortality among severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infected individuals. Patients with obesity also have overlapping cardiovascular diseases and diabetes, which make them increasingly vulnerable. This novel ecological study examines the impact of obesity and/or body mass index (BMI) on rates of population-adjusted cases and deaths due to coronavirus disease 2019 (COVID-19). MATERIAL AND METHODS Publicly available datasets were used to obtain relevant data on COVID-19, obesity and ecological variables. Group-wise comparisons and multivariate logistic regression analyses were performed. The receiver operating characteristic curve (ROC) was plotted to compute the area under the curve. RESULTS We found that male BMI is an independent predictor of cause-specific (COVID-19) mortality, and not of the caseload per million population. Countries with obesity rates of 20-30% had a significantly higher (approximately double) number of deaths per million population to both those in < 20% and > 30% slabs. We postulate that there may be a U-shaped paradoxical relationship between obesity and COVID-19 with the cause-specific mortality burden more pronounced in the countries with 20-30% obesity rates. These findings are novel along with the methodological approach of doing ecological analyses on country-wide data from publicly available sources. CONCLUSIONS We anticipate, in light of our findings, that appropriate targeted public health approaches or campaigns could be developed to minimize the risk and cause-specific morbidity burden due to COVID-19 in countries with nationwide obesity rates of 20-30%.
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Affiliation(s)
- Sonu Bhaskar
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Global Consortium, Obesity REPROGRAM Study Group, Sydney, Australia
- Department of Neurology & Neurophysiology, Liverpool Hospital & South West Sydney Local Health District (SWSLHD), Liverpool, Australia
- NSW Brain Clot Bank, NSW Health Pathology and Neurovascular Imaging Laboratory, Clinical Sciences Stream, Ingham Institute for Applied Medical Research, Sydney, Australia
| | - Sanja Jovanovic
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Global Consortium, Obesity REPROGRAM Study Group, Sydney, Australia
- Kwantlen Polytechnic University, Office of Research Services, Surrey, British Columbia, Canada
| | - Anubhav Katyal
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Global Consortium, Obesity REPROGRAM Study Group, Sydney, Australia
- Neurovascular Imaging Laboratory, Clinical Sciences Stream, Ingham Institute for Applied Medical Research, Sydney, Australia
- University of New South Wales (UNSW), South Western Sydney Clinical School, Sydney, Australia
| | - Narayanan K. Namboodiri
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Global Consortium, Obesity REPROGRAM Study Group, Sydney, Australia
- Sree Chitra Institute for Medical Sciences and Technology (SCTIMST), Department of Cardiology, Trivandrum, Kerala, India
| | - Dimitrios Chatzis
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Global Consortium, Obesity REPROGRAM Study Group, Sydney, Australia
- Medical School, European University Cyprus, Nicosia, Cyprus
| | - Maciej Banach
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Global Consortium, Obesity REPROGRAM Study Group, Sydney, Australia
- Polish Mother’s Memorial Hospital Research Institute (PMMHRI), Lodz, Poland
- Cardiovascular Research Centre, University of Zielona Gora, Zielona Gora, Poland
- Department of Hypertension, Medical University of Lodz, Lodz, Poland
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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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Mestrovic T, Robles Aguilar G, Swetschinski LR, Ikuta KS, Gray AP, Davis Weaver N, Han C, Wool EE, Gershberg Hayoon A, Hay SI, Dolecek C, Sartorius B, Murray CJL, Addo IY, Ahinkorah BO, Ahmed A, Aldeyab MA, Allel K, Ancuceanu R, Anyasodor AE, Ausloos M, Barra F, Bhagavathula AS, Bhandari D, Bhaskar S, Cruz-Martins N, Dastiridou A, Dokova K, Dubljanin E, Durojaiye OC, Fagbamigbe AF, Ferrero S, Gaal PA, Gupta VB, Gupta VK, Gupta VK, Herteliu C, Hussain S, Ilic IM, Ilic MD, Jamshidi E, Joo T, Karch A, Kisa A, Kisa S, Kostyanev T, Kyu HH, Lám J, Lopes G, Mathioudakis AG, Mentis AFA, Michalek IM, Moni MA, Moore CE, Mulita F, Negoi I, Negoi RI, Palicz T, Pana A, Perdigão J, Petcu IR, Rabiee N, Rawaf DL, Rawaf S, Shakhmardanov MZ, Sheikh A, Silva LMLR, Skryabin VY, Skryabina AA, Socea B, Stergachis A, Stoeva TZ, Sumi CD, Thiyagarajan A, Tovani-Palone MR, Yesiltepe M, Zaman SB, Naghavi M. The burden of bacterial antimicrobial resistance in the WHO European region in 2019: a cross-country systematic analysis. Lancet Public Health 2022; 7:e897-e913. [PMID: 36244350 PMCID: PMC9630253 DOI: 10.1016/s2468-2667(22)00225-0] [Citation(s) in RCA: 72] [Impact Index Per Article: 36.0] [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: 06/14/2022] [Revised: 08/23/2022] [Accepted: 08/24/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Antimicrobial resistance (AMR) represents one of the most crucial threats to public health and modern health care. Previous studies have identified challenges with estimating the magnitude of the problem and its downstream effect on human health and mortality. To our knowledge, this study presents the most comprehensive set of regional and country-level estimates of AMR burden in the WHO European region to date. METHODS We estimated deaths and disability-adjusted life-years attributable to and associated with AMR for 23 bacterial pathogens and 88 pathogen-drug combinations for the WHO European region and its countries in 2019. Our methodological approach consisted of five broad components: the number of deaths in which infection had a role, the proportion of infectious deaths attributable to a given infectious syndrome, the proportion of infectious syndrome deaths attributable to a given pathogen, the percentage of a given pathogen resistant to an antimicrobial drug of interest, and the excess risk of mortality (or duration of an infection) associated with this resistance. These components were then used to estimate the disease burden by using two counterfactual scenarios: deaths attributable to AMR (considering an alternative scenario where infections with resistant pathogens are replaced with susceptible ones) and deaths associated with AMR (considering an alternative scenario where drug-resistant infections would not occur at all). Data were solicited from a wide array of international stakeholders; these included research hospitals, surveillance networks, and infection databases maintained by private laboratories and medical technology companies. We generated 95% uncertainty intervals (UIs) for final estimates as the 25th and 975th ordered values across 1000 posterior draws, and models were cross-validated for out-of-sample predictive validity. FINDINGS We estimated 541 000 deaths (95% UI 370 000-763 000) associated with bacterial AMR and 133 000 deaths (90 100-188 000) attributable to bacterial AMR in the whole WHO European region in 2019. The largest fatal burden of AMR in the region came from bloodstream infections, with 195 000 deaths (104 000-333 000) associated with resistance, followed by intra-abdominal infections (127 000 deaths [81 900-185 000]) and respiratory infections (120 000 deaths [94 500-154 000]). Seven leading pathogens were responsible for about 457 000 deaths associated with resistance in 53 countries of this region; these pathogens were, in descending order of mortality, Escherichia coli, Staphylococcus aureus, Klebsiella pneumoniae, Pseudomonas aeruginosa, Enterococcus faecium, Streptococcus pneumoniae, and Acinetobacter baumannii. Methicillin-resistant S aureus was shown to be the leading pathogen-drug combination in 27 countries for deaths attributable to AMR, while aminopenicillin-resistant E coli predominated in 47 countries for deaths associated with AMR. INTERPRETATION The high levels of resistance for several important bacterial pathogens and pathogen-drug combinations, together with the high mortality rates associated with these pathogens, show that AMR is a serious threat to public health in the WHO European region. Our regional and cross-country analyses open the door for strategies that can be tailored to leading pathogen-drug combinations and the available resources in a specific location. These results underscore that the most effective way to tackle AMR in this region will require targeted efforts and investments in conjunction with continuous outcome-based research endeavours. FUNDING Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care using UK aid funding managed by the Fleming Fund.
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Mishra J, Kumar R, Mondal S, Poonia S, Rao K, Dubey R, Raman RK, Dwivedi S, Kumar R, Saurabh K, Monobrullah M, Kumar S, Bhatt B, Malik R, Kumar V, McDonald A, Bhaskar S. Tillage and crop establishment effects on weeds and productivity of a rice-wheat-mungbean rotation. Field Crops Res 2022; 284:108577. [PMID: 35924187 PMCID: PMC9214547 DOI: 10.1016/j.fcr.2022.108577] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Revised: 05/07/2022] [Accepted: 05/13/2022] [Indexed: 07/25/2023]
Abstract
Weeds are one of the key threats in sustaining the productivity of the rice-wheat cropping system in the Indo-Gangetic Plains. The development of sound integrated weed management technologies requires knowledge of mechanisms that influence weed flora composition and weed seedbank dynamics. A long-term study was initiated in 2015 at Patna, Bihar, India to evaluate the effect of seven tillage and crop establishment methods on weed density, weed seedbank composition, and crop productivity in rice-wheat-mungbean rotation. All the treatments included zero-till mungbean after wheat. Tillage and crop establishment methods had differential effects on weed and weed seedbank composition. In rice, zero-till direct-seeded rice recorded 62% lower emergence of Cyperus iria, 82-90% of Echinochloa colona, and 81-83% of total weeds compared to tilled systems, but the system of rice and wheat intensification favoured E. colona. In wheat, the system of wheat intensification favoured the Phalaris minor and Solanum nigrum. Zero-till rice and wheat reduced the seedbank of Trianthema portulacastrum by 95%, and total weed seedbank by 62% compared to the system of rice and wheat intensification. Nearly, 72% of C. iria seeds, 62% of grasses, and 64% of broad-leaved weeds were in 0-15 cm soil layer. Zero-till direct-seeded rice produced a 13% lower rice grain yield than conventional puddled transplanted rice. Compared to the system of wheat intensification, zero-till wheat under triple zero-till systems produced an 11.5% higher grain yield. Managing weed seedbank is a long-term endeavour. The present study revealed that tillage and crop establishment methods influence weed density and diversity. Under zero-till rice-wheat system, rice yield decreases marginally, but the system productivity maintains due to improvement in succeeding wheat yield. This system is also helpful in reducing the weed flora density and soil weed seedbank. Regular monitoring and management of emerging pests such as armyworm (Mythimna separata) are, however, required. The study suggests that the adoption of triple zero-tillage can be a viable option for reducing the weed density and weed seedbank concurrently increasing the system productivity of the rice-wheat-mungbean cropping system in eastern Indo-Gangetic Plains.
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Affiliation(s)
- J.S. Mishra
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - Rakesh Kumar
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - Surajit Mondal
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - S.P. Poonia
- Cereal Systems Initiative for South Asia (CSISA)-CIMMYT, Patna, India
| | - K.K. Rao
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - Rachana Dubey
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | | | - S.K. Dwivedi
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - Rahul Kumar
- Birsa Agricultural University, Ranchi, Jharkhand, India
| | - Kirti Saurabh
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - Md Monobrullah
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - Santosh Kumar
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - B.P. Bhatt
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - R.K. Malik
- Cereal Systems Initiative for South Asia (CSISA)-CIMMYT, Patna, India
| | - Virender Kumar
- International Rice Research Institute, Los Banos, The Philippines
| | - Andrew McDonald
- Soil and Crop Sciences Section, School of Integrative Plant Sciences, Cornell University, Ithaca, NY, USA
| | - S. Bhaskar
- Indian Council of Agricultural Research, New Delhi, India
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Bryazka D, Reitsma MB, Griswold MG, Abate KH, Abbafati C, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abdoli A, Abdollahi M, Abdullah AYM, Abhilash ES, Abu-Gharbieh E, Acuna JM, Addolorato G, Adebayo OM, Adekanmbi V, Adhikari K, Adhikari S, Adnani QES, Afzal S, Agegnehu WY, Aggarwal M, Ahinkorah BO, Ahmad AR, Ahmad S, Ahmad T, Ahmadi A, Ahmadi S, Ahmed H, Ahmed Rashid T, Akunna CJ, Al Hamad H, Alam MZ, Alem DT, Alene KA, Alimohamadi Y, Alizadeh A, Allel K, Alonso J, Alvand S, Alvis-Guzman N, Amare F, Ameyaw EK, Amiri S, Ancuceanu R, Anderson JA, Andrei CL, Andrei T, Arabloo J, Arshad M, Artamonov AA, Aryan Z, Asaad M, Asemahagn MA, Astell-Burt T, Athari SS, Atnafu DD, Atorkey P, Atreya A, Ausloos F, Ausloos M, Ayano G, Ayanore MAA, Ayinde OO, Ayuso-Mateos JL, Azadnajafabad S, Azanaw MM, Azangou-Khyavy M, Azari Jafari A, Azzam AY, Badiye AD, Bagheri N, Bagherieh S, Bairwa M, Bakkannavar SM, Bakshi RK, Balchut/Bilchut AH, Bärnighausen TW, Barra F, Barrow A, Baskaran P, Belo L, Bennett DA, Benseñor IM, Bhagavathula AS, Bhala N, Bhalla A, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bintoro BS, Blokhina EAE, Bodicha BBA, Boloor A, Bosetti C, Braithwaite D, Brenner H, Briko NI, Brunoni AR, Butt ZA, Cao C, Cao Y, Cárdenas R, Carvalho AF, Carvalho M, Castaldelli-Maia JM, Castelpietra G, Castro-de-Araujo LFS, Cattaruzza MS, Chakraborty PA, Charan J, Chattu VK, Chaurasia A, Cherbuin N, Chu DT, Chudal N, Chung SC, Churko C, Ciobanu LG, Cirillo M, Claro RM, Costanzo S, Cowden RG, Criqui MH, Cruz-Martins N, Culbreth GT, Dachew BA, Dadras O, Dai X, Damiani G, Dandona L, Dandona R, Daniel BD, Danielewicz A, Darega Gela J, Davletov K, de Araujo JAP, de Sá-Junior AR, Debela SA, Dehghan A, Demetriades AK, Derbew Molla M, Desai R, Desta AA, Dias da Silva D, Diaz D, Digesa LE, Diress M, Dodangeh M, Dongarwar D, Dorostkar F, Dsouza HL, Duko B, Duncan BB, Edvardsson K, Ekholuenetale M, Elgar FJ, Elhadi M, Elmonem MA, Endries AY, Eskandarieh S, Etemadimanesh A, Fagbamigbe AF, Fakhradiyev IR, Farahmand F, Farinha CSES, Faro A, Farzadfar F, Fatehizadeh A, Fauk NK, Feigin VL, Feldman R, Feng X, Fentaw Z, Ferrero S, Ferro Desideri L, Filip I, Fischer F, Francis JM, Franklin RC, Gaal PA, Gad MM, Gallus S, Galvano F, Ganesan B, Garg T, Gebrehiwot MGD, Gebremeskel TG, Gebremichael MA, Gemechu TR, Getacher L, Getachew ME, Getachew Obsa A, Getie A, Ghaderi A, Ghafourifard M, Ghajar A, Ghamari SH, Ghandour LA, Ghasemi Nour M, Ghashghaee A, Ghozy S, Glozah FN, Glushkova EV, Godos J, Goel A, Goharinezhad S, Golechha M, Goleij P, Golitaleb M, Greaves F, Grivna M, Grosso G, Gudayu TW, Gupta B, Gupta R, Gupta S, Gupta VB, Gupta VK, Hafezi-Nejad N, Haj-Mirzaian A, Hall BJ, Halwani R, Handiso TB, Hankey GJ, Hariri S, Haro JM, Hasaballah AI, Hassanian-Moghaddam H, Hay SI, Hayat K, Heidari G, Heidari M, Hendrie D, Herteliu C, Heyi DZ, Hezam K, Hlongwa MM, Holla R, Hossain MM, Hossain S, Hosseini SK, hosseinzadeh M, Hostiuc M, Hostiuc S, Hu G, Huang J, Hussain S, Ibitoye SE, Ilic IM, Ilic MD, Immurana M, Irham LM, Islam MM, Islam RM, Islam SMS, Iso H, Itumalla R, Iwagami M, Jabbarinejad R, Jacob L, Jakovljevic M, Jamalpoor Z, Jamshidi E, Jayapal SK, Jayarajah UU, Jayawardena R, Jebai R, Jeddi SA, Jema AT, Jha RP, Jindal HA, Jonas JB, Joo T, Joseph N, Joukar F, Jozwiak JJ, Jürisson M, Kabir A, Kabthymer RH, Kamble BD, Kandel H, Kanno GG, Kapoor N, Karaye IM, Karimi SE, Kassa BG, Kaur RJ, Kayode GA, Keykhaei M, Khajuria H, Khalilov R, Khan IA, Khan MAB, Kim H, Kim J, Kim MS, Kimokoti RW, Kivimäki M, Klymchuk V, Knudsen AKS, Kolahi AA, Korshunov VA, Koyanagi A, Krishan K, Krishnamoorthy Y, Kumar GA, Kumar N, Kumar N, Lacey B, Lallukka T, Lasrado S, Lau J, Lee SW, Lee WC, Lee YH, Lim LL, Lim SS, Lobo SW, Lopukhov PD, Lorkowski S, Lozano R, Lucchetti G, Madadizadeh F, Madureira-Carvalho ÁM, Mahjoub S, Mahmoodpoor A, Mahumud RA, Makki A, Malekpour MR, Manjunatha N, Mansouri B, Mansournia MA, Martinez-Raga J, Martinez-Villa FA, Matzopoulos R, Maulik PK, Mayeli M, McGrath JJ, Meena JK, Mehrabi Nasab E, Menezes RG, Mensink GBM, Mentis AFA, Meretoja A, Merga BT, Mestrovic T, Miao Jonasson J, Miazgowski B, Micheletti Gomide Nogueira de Sá AC, Miller TR, Mini GK, Mirica A, Mirijello A, Mirmoeeni S, Mirrakhimov EM, Misra S, Moazen B, Mobarakabadi M, Moccia M, Mohammad Y, Mohammadi E, Mohammadian-Hafshejani A, Mohammed TA, Moka N, Mokdad AH, Momtazmanesh S, Moradi Y, Mostafavi E, Mubarik S, Mullany EC, Mulugeta BT, Murillo-Zamora E, Murray CJL, Mwita JC, Naghavi M, Naimzada MD, Nangia V, Nayak BP, Negoi I, Negoi RI, Nejadghaderi SA, Nepal S, Neupane SPP, Neupane Kandel S, Nigatu YT, Nowroozi A, Nuruzzaman KM, Nzoputam CI, Obamiro KO, Ogbo FA, Oguntade AS, Okati-Aliabad H, Olakunde BO, Oliveira GMM, Omar Bali A, Omer E, Ortega-Altamirano DV, Otoiu A, Otstavnov SS, Oumer B, P A M, Padron-Monedero A, Palladino R, Pana A, Panda-Jonas S, Pandey A, Pandey A, Pardhan S, Parekh T, Park EK, Parry CDH, Pashazadeh Kan F, Patel J, Pati S, Patton GC, Paudel U, Pawar S, Peden AE, Petcu IR, Phillips MR, Pinheiro M, Plotnikov E, Pradhan PMS, Prashant A, Quan J, Radfar A, Rafiei A, Raghav PR, Rahimi-Movaghar V, Rahman A, Rahman MM, Rahman M, Rahmani AM, Rahmani S, Ranabhat CL, Ranasinghe P, Rao CR, Rasali DP, Rashidi MM, Ratan ZA, Rawaf DL, Rawaf S, Rawal L, Renzaho AMN, Rezaei N, Rezaei S, Rezaeian M, Riahi SM, Romero-Rodríguez E, Roth GA, Rwegerera GM, Saddik B, Sadeghi E, Sadeghian R, Saeed U, Saeedi F, Sagar R, Sahebkar A, Sahoo H, Sahraian MA, Saif-Ur-Rahman KM, Salahi S, Salimzadeh H, Samy AM, Sanmarchi F, Santric-Milicevic MM, Sarikhani Y, Sathian B, Saya GK, Sayyah M, Schmidt MI, Schutte AE, Schwarzinger M, Schwebel DC, Seidu AA, Senthil Kumar N, SeyedAlinaghi S, Seylani A, Sha F, Shahin S, Shahraki-Sanavi F, Shahrokhi S, Shaikh MA, Shaker E, Shakhmardanov MZ, Shams-Beyranvand M, Sheikhbahaei S, Sheikhi RA, Shetty A, Shetty JK, Shiferaw DS, Shigematsu M, Shiri R, Shirkoohi R, Shivakumar KM, Shivarov V, Shobeiri P, Shrestha R, Sidemo NB, Sigfusdottir ID, Silva DAS, Silva NTD, Singh JA, Singh S, Skryabin VY, Skryabina AA, Sleet DA, Solmi M, SOLOMON YONATAN, Song S, Song Y, Sorensen RJD, Soshnikov S, Soyiri IN, Stein DJ, Subba SH, Szócska M, Tabarés-Seisdedos R, Tabuchi T, Taheri M, Tan KK, Tareke M, Tarkang EE, Temesgen G, Temesgen WA, Temsah MH, Thankappan KR, Thapar R, Thomas NK, Tiruneh C, Todorovic J, Torrado M, Touvier M, Tovani-Palone MR, Tran MTN, Trias-Llimós S, Tripathy JP, Vakilian A, Valizadeh R, Varmaghani M, Varthya SB, Vasankari TJ, Vos T, Wagaye B, Waheed Y, Walde MT, Wang C, Wang Y, Wang YP, Westerman R, Wickramasinghe ND, Wubetu AD, Xu S, Yamagishi K, Yang L, Yesera GEE, Yigit A, Yiğit V, Yimaw AEAE, Yon DK, Yonemoto N, Yu C, Zadey S, Zahir M, Zare I, Zastrozhin MS, Zastrozhina A, Zhang ZJ, Zhong C, Zmaili M, Zuniga YMH, Gakidou E. Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020. Lancet 2022; 400:185-235. [PMID: 35843246 PMCID: PMC9289789 DOI: 10.1016/s0140-6736(22)00847-9] [Citation(s) in RCA: 122] [Impact Index Per Article: 61.0] [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: 11/18/2021] [Revised: 04/11/2022] [Accepted: 04/26/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. METHODS For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15-95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol. FINDINGS The burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15-39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0-0) and 0·603 (0·400-1·00) standard drinks per day, and the NDE varied between 0·002 (0-0) and 1·75 (0·698-4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0-0·403) to 1·87 (0·500-3·30) standard drinks per day and an NDE that ranged between 0·193 (0-0·900) and 6·94 (3·40-8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3-65·4) were aged 15-39 years and 76·9% (73·0-81·3) were male. INTERPRETATION There is strong evidence to support recommendations on alcohol consumption varying by age and location. Stronger interventions, particularly those tailored towards younger individuals, are needed to reduce the substantial global health loss attributable to alcohol. FUNDING Bill & Melinda Gates Foundation.
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Penson PE, Bruckert E, Marais D, Reiner Ž, Pirro M, Sahebkar A, Bajraktari G, Mirrakhimov E, Rizzo M, Mikhailidis DP, Sachinidis A, Gaita D, Latkovskis G, Mazidi M, Toth PP, Pella D, Alnouri F, Postadzhiyan A, Yeh HI, Mancini GBJ, von Haehling S, Banach M, Al‐Khnifsawi M, Alnouri F, Amar F, Atanasov AG, Bajraktari G, Banach M, Bhaskar S, Bytyçi I, Bjelakovic B, Bruckert E, Cafferata A, Ceska R, Cicero AF, Collet X, Daccord M, Descamps O, Djuric D, Durst R, Ezhov MV, Fras Z, Gaita D, Hernandez AV, Jones SR, Jozwiak J, Kakauridze N, Kallel A, Katsiki N, Khera A, Kostner K, Kubilius R, Latkovskis G, Mancini GJ, Marais AD, Martin SS, Martinez JA, Mazidi M, Mikhailidis DP, Mirrakhimov E, Miserez AR, Mitchenko O, Mitkovskaya NP, Moriarty PM, Nabavi SM, Nair D, Panagiotakos DB, Paragh G, Pella D, Penson PE, Petrulioniene Z, Pirro M, Postadzhiyan A, Puri R, Reda A, Reiner Ž, Radenkovic D, Rakowski M, Riadh J, Richter D, Rizzo M, Ruscica M, Sahebkar A, Sattar N, Serban M, Shehab AM, Shek AB, Sirtori CR, Stefanutti C, Tomasik T, Toth PP, Viigimaa M, Valdivielso P, Vinereanu D, Vohnout B, von Haehling S, Vrablik M, Wong ND, Yeh H, Zhisheng J, Zirlik A. Step-by-step diagnosis and management of the nocebo/drucebo effect in statin-associated muscle symptoms patients: a position paper from the International Lipid Expert Panel (ILEP). J Cachexia Sarcopenia Muscle 2022; 13:1596-1622. [PMID: 35969116 PMCID: PMC9178378 DOI: 10.1002/jcsm.12960] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 01/17/2022] [Accepted: 02/01/2022] [Indexed: 12/11/2022] Open
Abstract
Statin intolerance is a clinical syndrome whereby adverse effects (AEs) associated with statin therapy [most commonly statin-associated muscle symptoms (SAMS)] result in the discontinuation of therapy and consequently increase the risk of adverse cardiovascular outcomes. However, complete statin intolerance occurs in only a small minority of treated patients (estimated prevalence of only 3-5%). Many perceived AEs are misattributed (e.g. physical musculoskeletal injury and inflammatory myopathies), and subjective symptoms occur as a result of the fact that patients expect them to do so when taking medicines (the nocebo/drucebo effect)-what might be truth even for over 50% of all patients with muscle weakness/pain. Clear guidance is necessary to enable the optimal management of plasma in real-world clinical practice in patients who experience subjective AEs. In this Position Paper of the International Lipid Expert Panel (ILEP), we present a step-by-step patient-centred approach to the identification and management of SAMS with a particular focus on strategies to prevent and manage the nocebo/drucebo effect and to improve long-term compliance with lipid-lowering therapy.
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Affiliation(s)
- Peter E Penson
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK.,Liverpool Centre for Cardiovascular Science, Liverpool, UK
| | - Eric Bruckert
- Pitié-Salpetrière Hospital and Sorbonne University, Cardio metabolic Institute, Paris, France
| | - David Marais
- Chemical Pathology Division of the Department of Pathology, University of Cape Town Health Science Faculty, Cape Town, South Africa
| | - Željko Reiner
- Department of Internal Medicine, University Hospital Centre Zagreb, School of Medicine University of Zagreb, Zagreb, Croatia
| | - Matteo Pirro
- Department of Medicine, University of Perugia, Perugia, Italy
| | - Amirhossein Sahebkar
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.,Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.,Clinic of Cardiology, University Clinical Centre of Kosova, Medical Faculty, University of Prishtina, Prishtina, Kosovo
| | - Gani Bajraktari
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.,Department of Internal Disease, Kyrgyz State Medical Academy, Bishkek, Kyrgyzstan
| | - Erkin Mirrakhimov
- Department of Atherosclerosis and Coronary Heart Disease, National Center of Cardiology and Internal Diseases, Bishkek, Kyrgyzstan
| | - Manfredi Rizzo
- Department of Health Promotion Sciences Maternal and Infantile Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy.,Division of Endocrinology, Diabetes and Metabolism, School of Medicine, University of South Carolina, Columbia, SC, USA
| | - Dimitri P Mikhailidis
- Department of Clinical Biochemistry, University College London Medical School, University College London (UCL), London, UK
| | - Alexandros Sachinidis
- Department of Health Promotion Sciences Maternal and Infantile Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy.,2nd Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Dan Gaita
- Universitatea de Medicina si Farmacie Victor Babes, Timisoara, Romania.,Clinica de Cardiologie, Institutul de Boli Cardiovasculare Timisoara, Timisoara, Romania
| | - Gustavs Latkovskis
- Pauls Stradins Clinical University Hospital, Riga, Latvia.,University of Latvia, Riga, Latvia
| | - Mohsen Mazidi
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK.,Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Peter P Toth
- CGH Medical Center, Sterling, IL, USA.,Cicarrone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel Pella
- 2nd Department of Cardiology of the East Slovak Institute of Cardiovascular Disease and Faculty of Medicine, PJ Safarik University, Kosice, Slovak Republic
| | - Fahad Alnouri
- Cardiovascular Prevention Unit, Adult Cardiology Department, Prince Sultan Cardiac Centre Riyadh, Riyadh, Saudi Arabia
| | - Arman Postadzhiyan
- Department of General Medicine, Emergency University Hospital 'St. Anna', Medical University of Sofia, Sofia, Bulgaria
| | - Hung-I Yeh
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
| | - G B John Mancini
- Department of General Medicine, Emergency University Hospital 'St. Anna', Medical University of Sofia, Sofia, Bulgaria
| | - Stephan von Haehling
- Department of Cardiology and Pneumology, Heart Center, University of Göttingen Medical Center, Göttingen, Germany.,German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany
| | - Maciej Banach
- Polish Moother's Memorial Hospital Research Institute (PMMHRI), Lodz, Poland.,Department of Preventive Cardiology and Lipidology, Medical University of Lodz (MUL), Lodz, Poland.,Cardiovascular Research Centre, University of Zielona Gora, Zielona Gora, Poland
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Cousin E, Duncan BB, Stein C, Ong KL, Vos T, Abbafati C, Abbasi-Kangevari M, Abdelmasseh M, Abdoli A, Abd-Rabu R, Abolhassani H, Abu-Gharbieh E, Accrombessi MMK, Adnani QES, Afzal MS, Agarwal G, Agrawaal KK, Agudelo-Botero M, Ahinkorah BO, Ahmad S, Ahmad T, Ahmadi K, Ahmadi S, Ahmadi A, Ahmed A, Ahmed Salih Y, Akande-Sholabi W, Akram T, Al Hamad H, Al-Aly Z, Alcalde-Rabanal JE, Alipour V, Aljunid SM, Al-Raddadi RM, Alvis-Guzman N, Amini S, Ancuceanu R, Andrei T, Andrei CL, Anjana RM, Ansar A, Antonazzo IC, Antony B, Anyasodor AE, Arabloo J, Arizmendi D, Armocida B, Artamonov AA, Arulappan J, Aryan Z, Asgari S, Ashraf T, Astell-Burt T, Atorkey P, Atout MMW, Ayanore MA, Badiye AD, Baig AA, Bairwa M, Baker JL, Baltatu OC, Banik PC, Barnett A, Barone MTU, Barone-Adesi F, Barrow A, Bedi N, Belete R, Belgaumi UI, Bell AW, Bennett DA, Bensenor IM, Beran D, Bhagavathula AS, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bijani A, Bikbov B, Birara S, Bodolica V, Bonny A, Brenner H, Briko NI, Butt ZA, Caetano dos Santos FL, Cámera LA, Campos-Nonato IR, Cao Y, Cao C, Cerin E, Chakraborty PA, Chandan JS, Chattu VK, Chen S, Choi JYJ, Choudhari SG, Chowdhury EK, Chu DT, Corso B, Dadras O, Dai X, Damasceno AAM, Dandona L, Dandona R, Dávila-Cervantes CA, De Neve JW, Denova-Gutiérrez E, Dhamnetiya D, Diaz D, Ebtehaj S, Edinur HA, Eftekharzadeh S, El Sayed I, Elgendy IY, Elhadi M, Elmonem MA, Faisaluddin M, Farooque U, Feng X, Fernandes E, Fischer F, Flood D, Freitas M, Gaal PA, Gad MM, Gaewkhiew P, Getacher L, Ghafourifard M, Ghanei Gheshlagh R, Ghashghaee A, Ghith N, Ghozali G, Gill PS, Ginawi IA, Glushkova EV, Golechha M, Gopalani SV, Guimarães RA, Gupta RD, Gupta R, Gupta VK, Gupta VB, Gupta S, Habtewold TD, Hafezi-Nejad N, Halwani R, Hanif A, Hankey GJ, Haque S, Hasaballah AI, Hasan SS, Hashi A, Hassanipour S, Hay SI, Hayat K, Heidari M, Hossain MBH, Hossain S, Hosseini M, Hoveidamanesh S, Huang J, Humayun A, Hussain R, Hwang BF, Ibitoye SE, Ikuta KS, Inbaraj LR, Iqbal U, Islam MS, Islam SMS, Islam RM, Ismail NE, Isola G, Itumalla R, Iwagami M, Iyamu IO, Jahani MA, Jakovljevic M, Jayawardena R, Jha RP, John O, Jonas JB, Joo T, Kabir A, Kalhor R, Kamath A, Kanchan T, Kandel H, Kapoor N, Kayode GA, Kebede SA, Keshavarz P, Keykhaei M, Khader YS, Khajuria H, Khan MAB, Khan MN, Khan M, Khater AM, Khoja TAM, Khubchandani J, Kim MS, Kim YJ, Kimokoti RW, Kisa S, Kisa A, Kivimäki M, Korshunov VA, Korzh O, Koyanagi A, Krishan K, Kuate Defo B, Kumar GA, Kumar N, Kusuma D, La Vecchia C, Lacey B, Larsson AO, Lasrado S, Lee WC, Lee CB, Lee PH, Lee SWH, Li MC, Lim SS, Lim LL, Lucchetti G, Majeed A, Malik AA, Mansouri B, Mantovani LG, Martini S, Mathur P, McAlinden C, Mehedi N, Mekonnen T, Menezes RG, Mersha AG, Miao Jonasson J, Miazgowski T, Michalek IM, Mirica A, Mirrakhimov EM, Mirza AZ, Mithra P, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed A, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moradpour F, Moradzadeh R, Mostafavi E, Mueller UO, Murray CJL, Mustafa A, Nagel G, Nangia V, Naqvi AA, Nayak BP, Nazari J, Ndejjo R, Negoi RI, Neupane Kandel S, Nguyen CT, Nguyen HLT, Noubiap JJ, Nowak C, Oancea B, Odukoya OO, Oguntade AS, Ojo TT, Olagunju AT, Onwujekwe OE, Ortiz A, Owolabi MO, Palladino R, Panda-Jonas S, Pandi-Perumal SR, Pardhan S, Parekh T, Parvizi M, Pepito VCF, Perianayagam A, Petcu IR, Pilania M, Podder V, Polibin RV, Postma MJ, Prashant A, Rabiee N, Rabiee M, Rahimi-Movaghar V, Rahman MA, Rahman MM, Rahman M, Rahmawaty S, Rajai N, Ram P, Rana J, Ranabhat K, Ranasinghe P, Rao CR, Rao S, Rawaf S, Rawaf DL, Rawal L, Renzaho AMN, Rezaei N, Rezapour A, Riahi SM, Ribeiro D, Rodriguez JAB, Roever L, Rohloff P, Rwegerera GM, Ryan PM, Saber-Ayad MM, Sabour S, Saddik B, Saeedi Moghaddam S, Sahebkar A, Sahoo H, Saif-Ur-Rahman KM, Salimzadeh H, Samaei M, Sanabria J, Santric-Milicevic MM, Sathian B, Sathish T, Schlaich MP, Seidu AA, Šekerija M, Senthil Kumar N, Seylani A, Shaikh MA, Shamshad H, Shawon MSR, Sheikhbahaei S, Shetty JK, Shiri R, Shivakumar KM, Shuval K, Singh JA, Singh A, Skryabin VY, Skryabina AA, Sofi-Mahmudi A, Soheili A, Sun J, Szerencsés V, Szócska M, Tabarés-Seisdedos R, Tadbiri H, Tadesse EG, Tariqujjaman M, Thankappan KR, Thapar R, Thomas N, Timalsina B, Tobe-Gai R, Tonelli M, Tovani-Palone MR, Tran BX, Tripathy JP, Tudor Car L, Tusa BS, Uddin R, Upadhyay E, Valadan Tahbaz S, Valdez PR, Vasankari TJ, Verma M, Villalobos-Daniel VE, Vladimirov SK, Vo B, Vu GT, Vukovic R, Waheed Y, Wamai RG, Werdecker A, Wickramasinghe ND, Winkler AS, Wubishet BL, Xu X, Xu S, Yahyazadeh Jabbari SH, Yatsuya H, Yaya S, Yazie TSY, Yi S, Yonemoto N, Yunusa I, Zadey S, Zaman SB, Zamanian M, Zamora N, Zastrozhin MS, Zastrozhina A, Zhang ZJ, Zhong C, Zmaili M, Zumla A, Naghavi M, Schmidt MI. Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019. Lancet Diabetes Endocrinol 2022; 10:177-192. [PMID: 35143780 PMCID: PMC8860753 DOI: 10.1016/s2213-8587(21)00349-1] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [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: 05/21/2021] [Revised: 10/27/2021] [Accepted: 12/10/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. METHODS We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990-2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. FINDINGS In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0% (-28·4 to -2·9) for all diabetes, and by 21·0% (-33·0 to -5·9) when considering only type 1 diabetes. However, the low SDI quintile had the lowest decline for both all diabetes (-13·6% [-28·4 to 3·4]) and for type 1 diabetes (-13·6% [-29·3 to 8·9]). INTERPRETATION Decreasing diabetes mortality at ages younger than 25 years remains an important challenge, especially in low and low-middle SDI countries. Inadequate diagnosis and treatment of diabetes is likely to be major contributor to these early deaths, highlighting the urgent need to provide better access to insulin and basic diabetes education and care. This mortality metric, derived from readily available and frequently updated GBD data, can help to monitor preventable diabetes-related deaths over time globally, aligned with the UN's Sustainable Development Targets, and serve as an indicator of the adequacy of basic diabetes care for type 1 and type 2 diabetes across nations. FUNDING Bill & Melinda Gates Foundation.
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Kocarnik JM, Compton K, Dean FE, Fu W, Gaw BL, Harvey JD, Henrikson HJ, Lu D, Pennini A, Xu R, Ababneh E, Abbasi-Kangevari M, Abbastabar H, Abd-Elsalam SM, Abdoli A, Abedi A, Abidi H, Abolhassani H, Adedeji IA, Adnani QES, Advani SM, Afzal MS, Aghaali M, Ahinkorah BO, Ahmad S, Ahmad T, Ahmadi A, Ahmadi S, Ahmed Rashid T, Ahmed Salih Y, Akalu GT, Aklilu A, Akram T, Akunna CJ, Al Hamad H, Alahdab F, Al-Aly Z, Ali S, Alimohamadi Y, Alipour V, Aljunid SM, Alkhayyat M, Almasi-Hashiani A, Almasri NA, Al-Maweri SAA, Almustanyir S, Alonso N, Alvis-Guzman N, Amu H, Anbesu EW, Ancuceanu R, Ansari F, Ansari-Moghaddam A, Antwi MH, Anvari D, Anyasodor AE, Aqeel M, Arabloo J, Arab-Zozani M, Aremu O, Ariffin H, Aripov T, Arshad M, Artaman A, Arulappan J, Asemi Z, Asghari Jafarabadi M, Ashraf T, Atorkey P, Aujayeb A, Ausloos M, Awedew AF, Ayala Quintanilla BP, Ayenew T, Azab MA, Azadnajafabad S, Azari Jafari A, Azarian G, Azzam AY, Badiye AD, Bahadory S, Baig AA, Baker JL, Balakrishnan S, Banach M, Bärnighausen TW, Barone-Adesi F, Barra F, Barrow A, Behzadifar M, Belgaumi UI, Bezabhe WMM, Bezabih YM, Bhagat DS, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bibi S, Bijani A, Biondi A, Bisignano C, Bjørge T, Bleyer A, Blyuss O, Bolarinwa OA, Bolla SR, Braithwaite D, Brar A, Brenner H, Bustamante-Teixeira MT, Butt NS, Butt ZA, Caetano dos Santos FL, Cao Y, Carreras G, Catalá-López F, Cembranel F, Cerin E, Cernigliaro A, Chakinala RC, Chattu SK, Chattu VK, Chaturvedi P, Chimed-Ochir O, Cho DY, Christopher DJ, Chu DT, Chung MT, Conde J, Cortés S, Cortesi PA, Costa VM, Cunha AR, Dadras O, Dagnew AB, Dahlawi SMA, Dai X, Dandona L, Dandona R, Darwesh AM, das Neves J, De la Hoz FP, Demis AB, Denova-Gutiérrez E, Dhamnetiya D, Dhimal ML, Dhimal M, Dianatinasab M, Diaz D, Djalalinia S, Do HP, Doaei S, Dorostkar F, dos Santos Figueiredo FW, Driscoll TR, Ebrahimi H, Eftekharzadeh S, El Tantawi M, El-Abid H, Elbarazi I, Elhabashy HR, Elhadi M, El-Jaafary SI, Eshrati B, Eskandarieh S, Esmaeilzadeh F, Etemadi A, Ezzikouri S, Faisaluddin M, Faraon EJA, Fares J, Farzadfar F, Feroze AH, Ferrero S, Ferro Desideri L, Filip I, Fischer F, Fisher JL, Foroutan M, Fukumoto T, Gaal PA, Gad MM, Gadanya MA, Gallus S, Gaspar Fonseca M, Getachew Obsa A, Ghafourifard M, Ghashghaee A, Ghith N, Gholamalizadeh M, Gilani SA, Ginindza TG, Gizaw ATT, Glasbey JC, Golechha M, Goleij P, Gomez RS, Gopalani SV, Gorini G, Goudarzi H, Grosso G, Gubari MIM, Guerra MR, Guha A, Gunasekera DS, Gupta B, Gupta VB, Gupta VK, Gutiérrez RA, Hafezi-Nejad N, Haider MR, Haj-Mirzaian A, Halwani R, Hamadeh RR, Hameed S, Hamidi S, Hanif A, Haque S, Harlianto NI, Haro JM, Hasaballah AI, Hassanipour S, Hay RJ, Hay SI, Hayat K, Heidari G, Heidari M, Herrera-Serna BY, Herteliu C, Hezam K, Holla R, Hossain MM, Hossain MBH, Hosseini MS, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsairi M, Huang J, Hugo FN, Hussain R, Hussein NR, Hwang BF, Iavicoli I, Ibitoye SE, Ida F, 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McKee M, Mehrotra R, Mendoza W, Menezes RG, Mengesha EW, Mesregah MK, Mestrovic T, Miao Jonasson J, Miazgowski B, Miazgowski T, Michalek IM, Miller TR, Mirzaei H, Mirzaei HR, Misra S, Mithra P, Moghadaszadeh M, Mohammad KA, Mohammad Y, Mohammadi M, Mohammadi SM, Mohammadian-Hafshejani A, Mohammed S, Moka N, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moosavi MA, Moradi Y, Moraga P, Morgado-da-Costa J, Morrison SD, Mosapour A, Mubarik S, Mwanri L, Nagarajan AJ, Nagaraju SP, Nagata C, Naimzada MD, Nangia V, Naqvi AA, Narasimha Swamy S, Ndejjo R, Nduaguba SO, Negoi I, Negru SM, Neupane Kandel S, Nguyen CT, Nguyen HLT, Niazi RK, Nnaji CA, Noor NM, Nuñez-Samudio V, Nzoputam CI, Oancea B, Ochir C, Odukoya OO, Ogbo FA, Olagunju AT, Olakunde BO, Omar E, Omar Bali A, Omonisi AEE, Ong S, Onwujekwe OE, Orru H, Ortega-Altamirano DV, Otstavnov N, Otstavnov SS, Owolabi MO, P A M, Padubidri JR, Pakshir K, Pana A, Panagiotakos D, Panda-Jonas S, Pardhan S, Park EC, Park EK, Pashazadeh Kan F, Patel HK, 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J, Zhong C, Zhou L, Zhu C, Ziapour A, Zimmermann IR, Fitzmaurice C, Murray CJL, Force LM. Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019. JAMA Oncol 2022; 8:420-444. [PMID: 34967848 PMCID: PMC8719276 DOI: 10.1001/jamaoncol.2021.6987] [Citation(s) in RCA: 585] [Impact Index Per Article: 292.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
IMPORTANCE The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. OBJECTIVE To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. EVIDENCE REVIEW The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). FINDINGS In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. CONCLUSIONS AND RELEVANCE The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world.
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Affiliation(s)
| | | | - Kelly Compton
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Frances E. Dean
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Weijia Fu
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Brian L. Gaw
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - James D. Harvey
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Hannah Jacqueline Henrikson
- Department of Global Health, Boston University, Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Dan Lu
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Alyssa Pennini
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Rixing Xu
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Emad Ababneh
- Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, Ohio
| | - Mohsen Abbasi-Kangevari
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hedayat Abbastabar
- Advanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Amir Abdoli
- Zoonoses Research Center, Jahrom University of Medical Sciences, Jahrom, Iran
| | - Aidin Abedi
- Department of Orthopaedic Surgery, University of Southern California, Los Angeles
| | - Hassan Abidi
- Laboratory Technology Sciences Department, Yasouj University, Yasuj, Iran
| | - Hassan Abolhassani
- Department of Laboratory Medicine, Karolinska University Hospital, Huddinge, Sweden
- Research Center for Immunodeficiencies, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Qorinah Estiningtyas Sakilah Adnani
- Department of Midwifery, Karya Husada Institute of Health Sciences, Kediri, Indonesia
- Department of Midwifery, Auckland University of Technology, Auckland, New Zealand
| | - Shailesh M. Advani
- Terasaki Institute for Biomedical Innovation, Los Angeles, California
- School of Medicine, Georgetown University, Washington, DC
| | - Muhammad Sohail Afzal
- Department of Life Sciences, University of Management and Technology, Lahore, Pakistan
| | - Mohammad Aghaali
- Department of Epidemiology and Biostatistics, Qom University of Medical Sciences, Qom, Iran
| | - Bright Opoku Ahinkorah
- The Australian Centre for Public and Population Health Research, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Sajjad Ahmad
- Foundation University Medical College, Foundation University Islamabad, Islamabad, Pakistan
| | - Tauseef Ahmad
- Department of Epidemiology and Health Statistics, Southeast University, Nanjing, China
| | - Ali Ahmadi
- Department of Epidemiology and Biostatistics, Shahrekord University of Medical Sciences, Shahrekord, Iran
- Department of Epidemiology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sepideh Ahmadi
- School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Tarik Ahmed Rashid
- Department of Computer Science and Engineering, University of Kurdistan Hewler, Erbil, Iraq
| | - Yusra Ahmed Salih
- Database Technology Department, Sulaimani Polytechnic University, Sulaymaniyah, Iraq
- College of Informatics, Sulaimani Polytechnic University, Sulaymaniyah, Iraq
| | - Gizachew Taddesse Akalu
- Microbiology, Immunology and Parasitology Department, St Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
- Microbial, Cellular and Molecular Biology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Addis Aklilu
- Department of Medical Laboratory Sciences, Arba Minch University, Arba Minch, Ethiopia
| | - Tayyaba Akram
- School of Mathematical Sciences, University of Science Malaysia, Penang, Malaysia
| | - Chisom Joyqueenet Akunna
- Department of Public Health, Intercountry Centre for Oral Health for Africa, Jos, Nigeria
- Department of Public Health, Federal Ministry of Health, Garki, Nigeria
| | - Hanadi Al Hamad
- Geriatric and Long-Term Care Department, Hamad Medical Corporation, Doha, Qatar
- Rumailah Hospital, Hamad Medical Corporation, Doha, Qatar
| | - Fares Alahdab
- Mayo Evidence-Based Practice Center, Mayo Clinic Foundation for Medical Education and Research, Rochester, Minnesota
| | - Ziyad Al-Aly
- John T. Milliken Department of Internal Medicine, Washington University in St Louis, St Louis, Missouri
- Clinical Epidemiology Center, Department of Veterans Affairs, St Louis, Missouri
| | - Saqib Ali
- Department of Information Systems, Sultan Qaboos University, Muscat, Oman
| | - Yousef Alimohamadi
- Pars Hospital, Iran University of Medical Sciences, Tehran, Iran
- Department of Epidemiology and Biostatistics, Tehran University of Medical Sciences, Tehran, Iran
| | - Vahid Alipour
- Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Health Economics, Iran University of Medical Sciences, Tehran, Iran
| | - Syed Mohamed Aljunid
- Department of Health Policy and Management, Kuwait University, Safat, Kuwait
- International Centre for Casemix and Clinical Coding, National University of Malaysia, Bandar Tun Razak, Malaysia
| | | | | | | | - Sadeq Ali Ali Al-Maweri
- College of Dental Medicine, Qatar University, Doha, Qatar
- Faculty of Dentistry, Sana'a University, Sana’a, Yemen
| | - Sami Almustanyir
- College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
- Ministry of Health, Riyadh, Saudi Arabia
| | - Nivaldo Alonso
- Department of Surgery, University of São Paulo, São Paulo, Brazil
| | - Nelson Alvis-Guzman
- Research Group in Hospital Management and Health Policies, Universidad de la Costa, Barranquilla, Colombia
- Research Group in Health Economics, University of Cartagena, Cartagena, Colombia
| | - Hubert Amu
- Department of Population and Behavioural Sciences, University of Health and Allied Sciences, Ho, Ghana
| | | | - Robert Ancuceanu
- Pharmacy Department, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Fereshteh Ansari
- Research Center for Evidence Based Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
- Razi Vaccine and Serum Research Institute, Agricultural Research, Education, and Extension Organization, Tehran, Iran
| | - Alireza Ansari-Moghaddam
- Department of Epidemiology and Biostatistics, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Maxwell Hubert Antwi
- Clinical Laboratory Department, Ghana Health Service, Kumasi, Ghana
- Department of Molecular Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Davood Anvari
- Department of Parasitology, Mazandaran University of Medical Sciences, Sari, Iran
- Department of Parasitology, Iranshahr University of Medical Sciences, Iranshahr, Iran
| | | | - Muhammad Aqeel
- Department of Psychology, Foundation University Islamabad, Rawalpandi, Pakistan
| | - Jalal Arabloo
- Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Morteza Arab-Zozani
- Social Determinants of Health Research Center, Birjand University of Medical Sciences, Birjand, Iran
| | - Olatunde Aremu
- Department of Public Health, Birmingham City University, Birmingham, England
| | - Hany Ariffin
- Department of Paediatrics, University of Malaya, Kuala Lumpur, Malaysia
- University of Malaya Medical Centre, University of Malaya, Kuala Lumpur, Malaysia
| | - Timur Aripov
- Public Health and Healthcare Management, Tashkent Institute of Postgraduate Medical Education, Tashkent, Uzbekistan
- Boston Children's Hospital, Boston, Massachusetts
| | - Muhammad Arshad
- Allied Health Sciences, Khyber Medical University, Timergara, Lower Dir, Pakistan
| | - Al Artaman
- Zayed University, Abu Dhabi, United Arab Emirates
| | - Judie Arulappan
- Department of Maternal and Child Health, Sultan Qaboos University, Muscat, Oman
| | - Zatollah Asemi
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, Iran
| | - Mohammad Asghari Jafarabadi
- Department of Biostatistics and Epidemiology, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Biostatistics and Epidemiology, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Tahira Ashraf
- Institute of Radiological Sciences and Medical Imaging Technology, University of Lahore, Lahore, Pakistan
| | - Prince Atorkey
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
- Hunter New England Population Health, Wallsend, New South Wales, Australia
| | - Avinash Aujayeb
- Northumbria HealthCare National Health Service (NHS) Foundation Trust, NHS England, Newcastle upon Tyne, England
| | - Marcel Ausloos
- School of Business, University of Leicester, Leicester, England
- Department of Statistics and Econometrics, Bucharest University of Economic Studies, Bucharest, Romania
| | | | | | - Temesgen Ayenew
- Department of Nursing, Debre Markos University, Debre Markos, Ethiopia
| | | | | | | | - Ghasem Azarian
- Department of Environmental Health Engineering, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Ahmed Y. Azzam
- Faculty of Medicine, October 6 University, 6th of October City, Egypt
| | - Ashish D. Badiye
- Department of Forensic Science, Government Institute of Forensic Science, Nagpur, India
| | - Saeed Bahadory
- Department of Parasitology, Tarbiat Modares University, Tehran, Iran
- Department of Parasitology, Alborz University of Medical Sciences, Karaj, Iran
| | - Atif Amin Baig
- Unit of Biochemistry, Universiti Sultan Zainal Abidin, Kuala Terengganu, Malaysia
| | - Jennifer L. Baker
- Center for Clinical Research and Prevention, Bispebjerg University Hospital, Frederiksberg, Denmark
| | | | - 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, Heidelberg University, Heidelberg, Germany
- T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | | | - Fabio Barra
- Academic Unit of Obstetrics and Gynecology, University of Genoa, Genoa, Italy
| | - Amadou Barrow
- Department of Public and Environmental Health, University of the Gambia, Brikama, The Gambia
- Epidemiology and Disease Control Unit, Ministry of Health, Kotu, The Gambia
| | - Masoud Behzadifar
- Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Uzma Iqbal Belgaumi
- Department of Oral Pathology and Microbiology, Krishna Institute of Medical Sciences, Karad, India
| | | | - Yihienew Mequanint Bezabih
- Department of Internal Medicine, Bahir Dar University, Bahir Dar, Ethiopia
- One Health, University of Nantes, Nantes, France
| | - Devidas S. Bhagat
- Department of Forensic Chemistry, Government Institute of Forensic Science, Aurangabad, India
| | - 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
| | - Nikha Bhardwaj
- Department of Anatomy, Government Medical College Pali, Pali, India
| | - Pankaj Bhardwaj
- Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Jodhpur, India
- School of Public Health, All India Institute of Medical Sciences, Jodhpur, India
| | - Sonu Bhaskar
- Neurovascular Imaging Laboratory, New South Wales Brain Clot Bank, Sydney, New South Wales, Australia
- Department of Neurology and Neurophysiology, South West Sydney Local Heath District and Liverpool Hospital, Sydney, New South Wales, Australia
| | - Krittika Bhattacharyya
- Department of Statistical and Computational Genomics, National Institute of Biomedical Genomics, Kalyani, India
- Department of Statistics, University of Calcutta, Kolkata, India
| | | | - Sadia Bibi
- Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, Faisalabad, Pakistan
| | - Ali Bijani
- Social Determinants of Health Research Center, Babol University of Medical Sciences, Babol, Iran
| | - Antonio Biondi
- Department of General Surgery and Medical-Surgical Specialties, University of Catania, Catania, Italy
| | - Catherine Bisignano
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Tone Bjørge
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- Cancer Registry of Norway, Oslo, Norway
| | - Archie Bleyer
- Department of Radiation Medicine, Oregon Health and Science University, Portland
- McGovern Medical School, University of Texas, Houston
| | - Oleg Blyuss
- School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, England
- Institute for Women's Health, University College London, London, England
| | | | - Srinivasa Rao Bolla
- Department of Biomedical Sciences, Nazarbayev University, Nur-Sultan City, Kazakhstan
| | - Dejana Braithwaite
- Department of Epidemiology, University of Florida, Gainesville
- Cancer Population Sciences Program, University of Florida Health Cancer Center, Gainesville
| | - Amanpreet Brar
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | | | - Nadeem Shafique Butt
- Department of Family and Community Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Zahid A. Butt
- School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada
- Al Shifa School of Public Health, Al Shifa Trust Eye Hospital, Rawalpindi, Pakistan
| | | | - Yin Cao
- Department of Surgery, Washington University in St Louis, St Louis, Missouri
| | - Giulia Carreras
- Institute for Cancer Research, Prevention and Clinical Network, Florence, Italy
| | - Ferrán Catalá-López
- National School of Public Health, Institute of Health Carlos III, Madrid, Spain
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Francieli Cembranel
- Department of Nutrition, Federal University of Santa Catarina, Florianópolis, Brazil
| | - Ester Cerin
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
- School of Public Health, University of Hong Kong, Hong Kong, China
| | - Achille Cernigliaro
- Regional Epidemiological Observatory Department, Sicilian Regional Health Authority, Palermo, Italy
| | | | | | - Vijay Kumar Chattu
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Saveetha Medical College, Saveetha University, Chennai, India
| | - Pankaj Chaturvedi
- Center for Cancer Epidemiology, Tata Memorial Hospital, Navi Mumbai, India
- Department of Head Neck Surgery, Tata Memorial Hospital, Mumbai, India
| | - Odgerel Chimed-Ochir
- Department of Public Health and Health Policy, Hiroshima University, Hiroshima, Japan
| | | | | | - Dinh-Toi Chu
- Center for Biomedicine and Community Health, VNU International School, Hanoi, Vietnam
| | - Michael T. Chung
- Department of Otolaryngology, Wayne State University, Detroit, Michigan
| | - Joao Conde
- Nova Medical School, Nova University of Lisbon, Lisbon, Portugal
| | - Sanda Cortés
- Department of Public Health, Pontifical Catholic University of Chile, Santiago, Chile
- Research Line in Environmental Exposures and Health Effects at Population Level, Centro de Desarrollo Urbano Sustentable, Santiago, Chile
| | | | - Vera Marisa Costa
- Research Unit on Applied Molecular Biosciences, University of Porto, Porto, Portugal
| | - Amanda Ramos Cunha
- Faculty of Dentistry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Omid Dadras
- School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand
- Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | | | - Saad M. A. Dahlawi
- Environmental Health Department, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Xiaochen Dai
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Lalit Dandona
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Public Health Foundation of India, Gurugram, India
- Indian Council of Medical Research, New Delhi, India
| | - Rakhi Dandona
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
- Public Health Foundation of India, Gurugram, India
| | - Aso Mohammad Darwesh
- Department of Information Technology, University of Human Development, Sulaymaniyah, Iraq
| | - José das Neves
- Institute for Research and Innovation in Health, University of Porto, Porto, Portugal
- Institute of Biomedical Engineering, University of Porto, Porto, Portugal
| | | | - Asmamaw Bizuneh Demis
- Department of Nursing, Woldia University, Woldia, Ethiopia
- School of Nursing, Jimma University, Jimma, Ethiopia
| | - Edgar Denova-Gutiérrez
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | - Deepak Dhamnetiya
- Department of Community Medicine, Dr Baba Saheb Ambedkar Medical College and Hospital, Delhi, India
| | - Mandira Lamichhane Dhimal
- Policy Research Institute, Kathmandu, Nepal
- Global Institute for Interdisciplinary Studies, Kathmandu, Nepal
| | - Meghnath Dhimal
- Health Research Section, Nepal Health Research Council, Kathmandu, Nepal
| | - Mostafa Dianatinasab
- Department of Epidemiology and Biostatistics, Shahroud University of Medical Sciences, Shahroud, Iran
- Department of Epidemiology, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Daniel Diaz
- Center of Complexity Sciences, National Autonomous University of Mexico, Mexico City, Mexico
- Faculty of Veterinary Medicine and Zootechnics, Autonomous University of Sinaloa, Culiacán Rosales, Mexico
| | - Shirin Djalalinia
- Development of Research and Technology Center, Ministry of Health and Medical Education, Tehran, Iran
| | - Huyen Phuc Do
- Center of Excellence in Behavioral Medicine, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
| | - Saeid Doaei
- School of Health, Guilan University of Medical Sciences, Rasht, Iran
- Department of Community Nutrition, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fariba Dorostkar
- Department of Medical Laboratory Sciences, Iran University of Medical Sciences, Tehran, Iran
| | | | - Tim Robert Driscoll
- Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Hedyeh Ebrahimi
- Noncommunicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Liver and Pancreaticobilliary Disease Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Sahar Eftekharzadeh
- Division of Urology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Maha El Tantawi
- Pediatric Dentistry and Dental Public Health Department, Alexandria University, Alexandria, Egypt
| | - Hassan El-Abid
- Direction de L'épidémiologie et la Lutte Contre les Maladies, Ministry of Health, Rabat, Morocco
| | - Iffat Elbarazi
- Institute of Public Health, United Arab Emirates University, Al Ain, United Arab Emirates
| | | | | | | | - Babak Eshrati
- Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Sharareh Eskandarieh
- Multiple Sclerosis Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Firooz Esmaeilzadeh
- Department of Public Health, Maragheh University of Medical Sciences, Maragheh, Iran
| | - Arash Etemadi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Sayeh Ezzikouri
- Department of Virology, Pasteur Institute of Morocco, Casablanca, Morocco
| | - Mohammed Faisaluddin
- Department of Internal Medicine, Rochester General Hospital, Rochester, New York
| | - Emerito Jose A. Faraon
- Department of Health Policy and Administration, University of the Philippines Manila, Manila, Philippines
| | - Jawad Fares
- Department of Neurological Surgery, Northwestern University, Chicago, Illinois
| | - Farshad Farzadfar
- Noncommunicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Abdullah Hamid Feroze
- Department of Neurological Surgery, University of Washington, Seattle
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Simone Ferrero
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | | | - Irina Filip
- Psychiatry Department, Kaiser Permanente, Fontana, California
- School of Health Sciences, A.T. Still University, Mesa, Arizona
| | - Florian Fischer
- Institute of Gerontological Health Services and Nursing Research, Ravensburg-Weingarten University of Applied Sciences, Weingarten, Germany
| | | | - Masoud Foroutan
- Department of Medical Parasitology, Abadan University of Medical Sciences, Abadan, Iran
- Faculty of Medicine, Abadan University of Medical Sciences, Abadan, Iran
| | | | - 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
| | - Mohamed M. Gad
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio
- Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill
| | - Muktar A. Gadanya
- Community Medicine Department, Bayero University, Kano, Kano, Nigeria
- Department of Community Medicine, Aminu Kano Teaching Hospital, Kano, Nigeria
| | - Silvano Gallus
- Department of Environmental Health Sciences, Mario Negri Institute for Pharmacological Research, Milan, Italy
| | | | | | - Mansour Ghafourifard
- Department of Medical Surgical Nursing, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ahmad Ghashghaee
- Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran
- Student Research Committee, Iran University of Medical Sciences, Tehran, Iran
| | - Nermin Ghith
- Research Group for Genomic Epidemiology, Technical University of Denmark, Copenhagen, Denmark
| | - Maryam Gholamalizadeh
- Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Syed Amir Gilani
- Faculty of Allied Health Sciences, University of Lahore, Lahore, Pakistan
- Afro-Asian Institute, Lahore, Pakistan
| | - Themba G. Ginindza
- Discipline of Public Health Medicine, University of KwaZulu-Natal, Durban, South Africa
| | | | - James C. Glasbey
- National Institute for Health Research Global Health Research Unit on Global Surgery, University of Birmingham, Birmingham, England
| | - Mahaveer Golechha
- Health Systems and Policy Research, Indian Institute of Public Health, Gandhinagar, India
| | - Pouya Goleij
- Department of Genetics, Sana Institute of Higher Education, Sari, Iran
| | - Ricardo Santiago Gomez
- Department of Oral Surgery and Pathology, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Sameer Vali Gopalani
- Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City
- Department of Health and Social Affairs, Government of the Federated States of Micronesia, Palikir, Federated States of Micronesia
| | - Giuseppe Gorini
- Oncological Network, Prevention and Research Institute, Institute for Cancer Research, Prevention and Clinical Network, Florence, Italy
| | - Houman Goudarzi
- Department of Respiratory Medicine, Hokkaido University, Sapporo, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Giuseppe Grosso
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | | | | | - Avirup Guha
- Harrington Heart and Vascular Institute, Case Western Reserve University, Cleveland, Ohio
- Division of Cardiovascular Medicine, Ohio State University, Columbus
| | | | - Bhawna Gupta
- Department of Public Health, Torrens University, Melbourne, Victoria, Australia
| | - Veer Bala Gupta
- School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Vivek Kumar Gupta
- Department of Clinical Medicine, Macquarie University, Sydney, New South Wales, Australia
| | - Reyna Alma Gutiérrez
- Department of Epidemiology and Psychosocial Research, Ramón de la Fuente Muñiz National Institute of Psychiatry, Mexico City, Mexico
| | - Nima Hafezi-Nejad
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Arvin Haj-Mirzaian
- Department of Pharmacology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Obesity Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Rabih Halwani
- Clinical Sciences Department, University of Sharjah, Sharjah, United Arab Emirates
- College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Randah R. Hamadeh
- Department of Family and Community Medicine, Arabian Gulf University, Manama, Bahrain
| | - Sajid Hameed
- University Institute of Public Health, University of Lahore, Lahore, Pakistan
| | - Samer Hamidi
- School of Health and Environmental Studies, Hamdan Bin Mohammed Smart University, Dubai, United Arab Emirates
| | - Asif Hanif
- University Institute of Public Health, University of Lahore, Lahore, Pakistan
| | - Shafiul Haque
- Research & Scientific Studies Unit, Jazan University, Jazan, Saudi Arabia
| | - Netanja I. Harlianto
- Faculty of Medicine, Utrecht University, Utrecht, Netherlands
- Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Josep Maria Haro
- Research Unit, University of Barcelona, Barcelona, Spain
- Biomedical Research Networking Center for Mental Health Network, Barcelona, Spain
| | | | - Soheil Hassanipour
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
- Caspian Digestive Disease Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Roderick J. Hay
- International Foundation for Dermatology, London, England
- St John's Institute of Dermatology, King's College London, London, England
| | - 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
| | - Khezar Hayat
- Institute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan
- Department of Pharmacy Administration and Clinical Pharmacy, Xian Jiaotong University, Xian, China
| | | | - Mohammad Heidari
- Community-Oriented Nursing Midwifery Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | | | - Claudiu Herteliu
- Department of Statistics and Econometrics, Bucharest University of Economic Studies, Bucharest, Romania
- School of Business, London South Bank University, London, England
| | - Kamal Hezam
- Department of Applied Microbiology, Taiz University, Taiz, Yemen
- Department of Microbiology, Nankai University, Tianjin, China
| | - Ramesh Holla
- Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India
| | - Md Mahbub Hossain
- Social and Environmental Health Research, Nature Study Society of Bangladesh, Khulna, Bangladesh
- Department of Health Promotion and Community Health Sciences, Texas A&M University, College Station
| | | | | | - Mostafa Hosseini
- Department of Epidemiology and Biostatistics, Tehran University of Medical Sciences, Tehran, Iran
- Pediatric Chronic Kidney Disease Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehdi Hosseinzadeh
- Institute of Research and Development, Duy Tan University, Da Nang, Vietnam
- Department of Computer Science, University of Human Development, Sulaymaniyah, Iraq
| | - Mihaela Hostiuc
- Internal Medicine Department, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - 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
| | - Mowafa Househ
- College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
| | - Mohamed Hsairi
- Faculty of Medicine of Tunis, University Tunis El Manar, Tunis, Tunisia
| | - Junjie Huang
- Jockey Club School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China
| | - Fernando N. Hugo
- Department of Preventive and Social Dentistry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Rabia Hussain
- School of Pharmaceutical Sciences, University of Science Malaysia, Penang, Malaysia
| | - Nawfal R. Hussein
- Department of Biomolecular Sciences, University of Zakho, Zakho, Iraq
| | - Bing-Fang Hwang
- Department of Occupational Safety and Health, China Medical University, Taichung, Taiwan
| | - Ivo Iavicoli
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | | | - Fidelia Ida
- Pharmacoepidemiology Department, Sanofi, Cambridge, Massachusetts
| | - Kevin S. Ikuta
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Division of Allergy and Infectious Diseases, University of Washington, Seattle
| | - Olayinka Stephen Ilesanmi
- Department of Community Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Community Medicine, University College Hospital, Ibadan, Ibadan, Nigeria
| | - Irena M. Ilic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Milena D. Ilic
- Department of Epidemiology, University of Kragujevac, Kragujevac, Serbia
| | - Lalu Muhammad Irham
- School of Pharmacy, Taipei Medical University, Taipei, Taiwan
- Faculty of Pharmacy, Ahmad Dahlan University, Yogyakarta, Indonesia
| | - Jessica Y. Islam
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Rakibul M. Islam
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Sheikh Mohammed Shariful Islam
- Institute for Physical Activity and Nutrition, Deakin University, Burwood, Victoria, Australia
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | | | - Gaetano Isola
- Department of General Surgery and Surgical-Medical Specialties, University of Catania, Catania, Italy
| | - Masao Iwagami
- Department of Health Services Research, University of Tsukuba, Tsukuba, Japan
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, England
| | - Louis Jacob
- Research and Development Unit, Biomedical Research Networking Center for Mental Health Network, Sant Boi de Llobregat, Spain
- Faculty of Medicine, University of Versailles Saint-Quentin-en-Yvelines, Montigny-le-Bretonneux, France
| | - Vardhmaan Jain
- Department of Internal Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Mihajlo B. Jakovljevic
- Institute of Comparative Economic Studies, Hosei University, Tokyo, Japan
- Department of Global Health, Economics and Policy, University of Kragujevac, Kragujevac, Serbia
| | | | - Shubha Jayaram
- Department of Biochemistry, Government Medical College, Mysuru, India
| | | | - Ravi Prakash Jha
- Department of Community Medicine, Dr Baba Saheb Ambedkar Medical College and Hospital, Delhi, India
- Department of Community Medicine, Banaras Hindu University, Varanasi, India
| | - Jost B. Jonas
- Department of Ophthalmology, Heidelberg University, Heidelberg, Germany
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Beijing, China
| | - Tamas Joo
- Health Services Management Training Centre, Semmelweis University, Budapest, Hungary
| | - Nitin Joseph
- Department of Community Medicine, Manipal Academy of Higher Education, Mangalore, India
| | - Farahnaz Joukar
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
- Caspian Digestive Disease Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Mikk Jürisson
- Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia
| | - Ali Kabir
- Minimally Invasive Surgery Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Danial Kahrizi
- Department of Genetics, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Leila R. Kalankesh
- School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Rohollah Kalhor
- Institute for Prevention of Non-communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran
- Health Services Management Department, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Feroze Kaliyadan
- Dermatology Department, King Faisal University, Hofuf, Saudi Arabia
| | - Yogeshwar Kalkonde
- Public Health Division, Society for Education, Action and Research in Community Health, Gadchiroli, India
| | - Ashwin Kamath
- Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India
- Manipal Academy of Higher Education, Manipal, India
| | | | - Himal Kandel
- Save Sight Institute, University of Sydney, Sydney, New South Wales, Australia
- Sydney Eye Hospital, South Eastern Sydney Local Health District, Sydney, New South Wales, Australia
| | - Neeti Kapoor
- Department of Forensic Science, Government Institute of Forensic Science, Nagpur, India
| | - André Karch
- Institute for Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Ayele Semachew Kasa
- Department of Adult Health Nursing, Bahir Dar University, Bahir Dar, Ethiopia
| | - Srinivasa Vittal Katikireddi
- Medical Research Council/Chief Scientist Office Social and Public Health Sciences Unit, University of Glasgow, Glasgow, Scotland
| | - Joonas H. Kauppila
- Surgery Research Unit, University of Oulu, Oulu, Finland
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
| | - Taras Kavetskyy
- Department of Surface Engineering, John Paul II Catholic University of Lublin, Lublin, Poland
- Drohobych Ivan Franko State Pedagogical University, Drohobych, Ukraine
| | - Sewnet Adem Kebede
- Department of Epidemiology and Biostatistics, University of Gondar, Gondar, Faroe Islands
| | - Pedram Keshavarz
- School of Science and Technology, University of Georgia, Tbilisi, Georgia
- Department of Diagnostic and Interventional Radiology, New Hospitals LTD, Tbilisi, Georgia
| | - Mohammad Keykhaei
- Noncommunicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Students Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Yousef Saleh Khader
- Department of Public Health, Jordan University of Science and Technology, Irbid, Jordan
| | - Rovshan Khalilov
- Department of Biophysics and Biochemistry, Baku State University, Baku, Azerbaijan
- Russian Institute for Advanced Study, Moscow State Pedagogical University, Moscow, Russia
| | - Gulfaraz Khan
- Department of Medical Microbiology and Immunology, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Maseer Khan
- Epidemiology Department, Jazan University, Jazan, Saudi Arabia
| | - Md Nuruzzaman Khan
- Department of Population Science, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh
| | - Moien A. B. Khan
- Family Medicine Department, United Arab Emirates University, Al Ain, United Arab Emirates
- Primary Care Department, NHS North West London, London, England
| | - Young-Ho Khang
- Department of Health Policy and Management, Seoul National University, Seoul, South Korea
- Institute of Health Policy and Management, Seoul National University, Seoul, South Korea
| | - Amir M. Khater
- National Hepatology and Tropical Medicine Research Institute, Cairo University, Cairo, Egypt
| | - Maryam Khayamzadeh
- Shahid Beheshti University of Medical Sciences, Tehran, Iran
- The Iranian Academy of Medical Sciences, Tehran, Iran
| | - Gyu Ri Kim
- Department of Preventive Medicine, Yonsei University, Seoul, South Korea
| | - Yun Jin Kim
- School of Traditional Chinese Medicine, Xiamen University Malaysia, Sepang, Malaysia
| | - Adnan Kisa
- School of Health Sciences, Kristiania University College, Oslo, Norway
- Department of Global Community Health and Behavioral Sciences, Tulane University, New Orleans, Louisiana
| | - Sezer Kisa
- Department of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway
| | | | - Jacek A. Kopec
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
- Arthritis Research Canada, Richmond, British Columbia, Canada
| | | | - Parvaiz A. Koul
- Department of Internal and Pulmonary Medicine, Sheri Kashmir Institute of Medical Sciences, Srinagar, India
| | | | - Ai Koyanagi
- Biomedical Research Networking Center for Mental Health Network, San Juan de Dios Sanitary Park, Sant Boi de Llobregat, Spain
- Catalan Institution for Research and Advanced Studies, Barcelona, Spain
| | | | - Nuworza Kugbey
- University of Environment and Sustainable Development, Somanya, Ghana
| | | | - Narinder Kumar
- Department of Orthopaedics, Medanta Hospital, Lucknow, India
| | - Nithin Kumar
- Department of Community Medicine, Manipal Academy of Higher Education, Mangalore, India
| | - Om P. Kurmi
- Faculty of Health and Life Sciences, Coventry University, Coventry, England
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Tezer Kutluk
- Department of Pediatric Oncology, Hacettepe University, Ankara, Turkey
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Faris Hasan Lami
- Department of Community and Family Medicine, University of Baghdad, Baghdad, Iraq
| | - Iván Landires
- Unit of Genetics and Public Health, Institute of Medical Sciences, Las Tablas, Panama
- Ministry of Health, Herrera, Panama
| | - Paolo Lauriola
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Sang-woong Lee
- Pattern Recognition and Machine Learning Lab, Gachon University, Seongnam, South Korea
| | - Shaun Wen Huey Lee
- School of Pharmacy, Monash University, Bandar Sunway, Malaysia
- School of Pharmacy, Taylor's University Lakeside Campus, Subang Jaya, Malaysia
| | - Wei-Chen Lee
- Office of Health Policy & Legislative Affairs, University of Texas, Galveston
| | - Yo Han Lee
- Graduate School of Public Health, Ajou University, Suwon-si, South Korea
| | - James Leigh
- Asbestos Diseases Research Institute, University of Sydney, Sydney, New South Wales, Australia
| | - Elvynna Leong
- Faculty of Science, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Jiarui Li
- Department of Medical Oncology, Peking Union Medical College, Beijing, China
| | - Ming-Chieh Li
- Department of Health Promotion and Health Education, National Taiwan Normal University, Taipei, Taiwan
| | - Xuefeng Liu
- Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio
- Department of Quantitative Health Science, Case Western Reserve University, Cleveland, Ohio
| | - Joana A. Loureiro
- Laboratory for Process Engineering, Environment, Biotechnology and Energy, University of Porto, Porto, Portugal
- School of Health, Polytechnic Institute of Porto, Portugal
| | - Raimundas Lunevicius
- Department of General Surgery, Liverpool University Hospitals NHS Foundation Trust, Liverpool, England
- Department of Surgery, University of Liverpool, Liverpool, England
| | | | - Azeem Majeed
- Department of Primary Care and Public Health, Imperial College London, London, England
| | - Alaa Makki
- Mass Communication Department, University of Sharjah, Sharjah, United Arab Emirates
| | - Shilpa Male
- Department of Ophthalmology, M M Joshi Eye Institute, Hubli, India
| | - Ahmad Azam Malik
- University Institute of Public Health, University of Lahore, Lahore, Pakistan
- Rabigh Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mohammad Ali Mansournia
- Department of Epidemiology and Biostatistics, Tehran University of Medical Sciences, Tehran, Iran
| | - Santi Martini
- Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
- Indonesian Public Health Association, Surabaya, Indonesia
| | | | - Prashant Mathur
- National Centre for Disease Informatics and Research, Indian Council of Medical Research, Bengaluru, India
| | - Martin McKee
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, England
| | - Ravi Mehrotra
- India Cancer Research Consortium, Indian Council of Medical Research, New Delhi, India
| | - Walter Mendoza
- Peru Country Office, United Nations Population Fund, Lima, Peru
| | - Ritesh G. Menezes
- Forensic Medicine Division, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | | | - Mohamed Kamal Mesregah
- Department of Orthopaedic Surgery, Menoufia University Faculty of Medicine, Shebin El-Kom, Egypt
| | - Tomislav Mestrovic
- Clinical Microbiology and Parasitology Unit, Polyclinic “Dr. Zora Profozic”, Zagreb, Croatia
- University Centre Varazdin, University North, Varazdin, Croatia
| | - Junmei Miao Jonasson
- School of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Bartosz Miazgowski
- Center for Innovation in Medical Education, Pomeranian Medical University, Szczecin, Poland
- Pomeranian Medical University, Szczecin, Poland
| | - Tomasz Miazgowski
- Department of Propedeutics of Internal Diseases and Arterial Hypertension, Pomeranian Medical University, Szczecin, Poland
| | | | - Ted R. Miller
- Pacific Institute for Research and Evaluation, Calverton, Maryland
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Hamed Mirzaei
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, Iran
| | - Hamid Reza Mirzaei
- Department of Medical Immunology, Tehran University of Medical Sciences, Tehran, Iran
| | - Sanjeev Misra
- Department of Surgical Oncology, All India Institute of Medical Sciences, Jodhpur, India
| | - Prasanna Mithra
- Department of Community Medicine, Manipal Academy of Higher Education, Mangalore, India
| | - Masoud Moghadaszadeh
- Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Molecular Medicine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Yousef Mohammad
- Internal Medicine Department, King Saud University, Riyadh, Saudi Arabia
| | - Mokhtar Mohammadi
- Department of Information Technology, Lebanese French University, Erbil, Iraq
| | | | | | - Shafiu Mohammed
- Health Systems and Policy Research Unit, Ahmadu Bello University, Zaria, Nigeria
- Department of Health Care Management, Technical University of Berlin, Berlin, Germany
| | - Nagabhishek Moka
- Oncology Department, Appalachian Regional Healthcare, Hazard, Kentucky
- Internal Medicine, University of Kentucky, Lexington
| | - 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
| | - Mariam Molokhia
- Faculty of Life Sciences and Medicine, King's College London, London, England
| | - Lorenzo Monasta
- Clinical Epidemiology and Public Health Research Unit, Burlo Garofolo Institute for Maternal and Child Health, Trieste, Italy
| | - Mohammad Ali Moni
- Department of Computer Science and Engineering, Pabna University of Science and Technology, Pabna, Bangladesh
| | - Mohammad Amin Moosavi
- Department of Molecular Medicine, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran
| | - Yousef Moradi
- Social Determinants of Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Paula Moraga
- Computer, Electrical, and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | | | | | - Abbas Mosapour
- Department of Clinical Biochemistry, Babol University of Medical Sciences, Babol, Iran
- Department of Clinical Biochemistry, Tarbiat Modares University, Tehran, Iran
| | - Sumaira Mubarik
- Department of Epidemiology and Biostatistics, Wuhan University, Wuhan, China
| | - Lillian Mwanri
- College of Medicine and Public Health, Flinders University, Adeaide, South Australia, Australia
| | - Ahamarshan Jayaraman Nagarajan
- Research and Analytics Department, Initiative for Financing Health and Human Development, Chennai, India
- Department of Research and Analytics, Bioinsilico Technologies, Chennai, India
| | | | - Chie Nagata
- Department of Education for Clinical Research, National Center for Child Health and Development, Tokyo, Japan
| | - Mukhammad David Naimzada
- Laboratory of Public Health Indicators Analysis and Health Digitalization, Moscow Institute of Physics and Technology, Dolgoprudny, Russia
- Experimental Surgery and Oncology Laboratory, Kursk State Medical University, Kursk, Russia
| | | | - Atta Abbas Naqvi
- Department of Pharmacy Practice, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
- Discipline of Social and Administrative Pharmacy, University of Science, Malaysia, Penang, Malaysia
| | | | - Rawlance Ndejjo
- Department of Disease Control and Environmental Health, Makerere University, Kampala, Uganda
| | - Sabina O. Nduaguba
- Pharmaceutical Outcomes and Policy Department, University of Florida, Gainesville
| | - 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
| | - Serban Mircea Negru
- Department of Oncology, Victor Babes University of Medicine and Pharmacy, Timisoara, Romania
| | | | - Cuong Tat Nguyen
- Institute for Global Health Innovations, Duy Tan University, Hanoi, Vietnam
| | | | | | - Chukwudi A. Nnaji
- South African Medical Research Council, Cape Town, South Africa
- School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Nurulamin M. Noor
- Medical Research Council Clinical Trials Unit, University College London, London, England
- Department of Gastroenterology, Cambridge University Hospitals, Cambridge, England
| | - Virginia Nuñez-Samudio
- Unit of Microbiology and Public Health, Institute of Medical Sciences, Las Tablas, Panama
- Department of Public Health, Ministry of Health, Herrera, Panama
| | | | - Bogdan Oancea
- Administrative and Economic Sciences Department, University of Bucharest, Bucharest, Romania
| | - Chimedsuren Ochir
- Department of International Cyber Education, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
- Advisory Board, Ministry of Health, Ulaanbaatar, Mongolia
| | - Oluwakemi Ololade Odukoya
- Department of Community Health and Primary Care, University of Lagos, Idi Araba, Nigeria
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City
| | - Felix Akpojene Ogbo
- Translational Health Research Institute, Western Sydney University, Sydney, New South Wales, Australia
| | - Andrew T. Olagunju
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
- Department of Psychiatry, University of Lagos, Lagos, Nigeria
| | | | - Emad Omar
- Mass Communication Department, Ajman University, Dubai, United Arab Emirates
| | - Ahmed Omar Bali
- Diplomacy and Public Relations Department, University of Human Development, Sulaymaniyah, Iraq
| | - Abidemi E. Emmanuel Omonisi
- Department of Anatomic Pathology, Ekiti State University, Ado-Ekiti, Nigeria
- Department of Anatomic Pathology, Ekiti State University Teaching Hospital, Ado-Ekiti, Nigeria
| | - Sokking Ong
- Noncommunicable Disease Prevention Unit, Ministry of Health, Bandar Seri Begawan, Brunei
- Early Detection and Cancer Prevention Services, Pantai Jerudong Specialist Centre, Bandar Seri Begawan, Brunei
| | - Obinna E. Onwujekwe
- Department of Pharmacology and Therapeutics, University of Nigeria Nsukka, Enugu, Nigeria
| | - Hans Orru
- Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia
- Section of Sustainable Health, Umeå University, Umea, Sweden
| | | | - Nikita Otstavnov
- Laboratory of Public Health Indicators Analysis and Health Digitalization, Moscow Institute of Physics and Technology, Dolgoprudny, Russia
| | - Stanislav S. Otstavnov
- Laboratory of Public Health Indicators Analysis and Health Digitalization, Moscow Institute of Physics and Technology, Dolgoprudny, Russia
- Department of Project Management, National Research University Higher School of Economics, Moscow, Russia
| | - Mayowa O. Owolabi
- Department of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Medicine, University College Hospital, Ibadan, Ibadan, Nigeria
| | - Mahesh P A
- Department of Respiratory Medicine, Jagadguru Sri Shivarathreeswara Academy of Health Education and Research, Mysore, India
| | - Jagadish Rao Padubidri
- Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India
| | - Keyvan Pakshir
- Department of Medical Mycology and Parasitology, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Adrian Pana
- Department of Statistics and Econometrics, Bucharest University of Economic Studies, Bucharest, Romania
- Department of Health Metrics, Center for Health Outcomes and Evaluation, Bucharest, Romania
| | | | | | - Shahina Pardhan
- Vision and Eye Research Institute, Anglia Ruskin University, Cambridge, England
| | - Eun-Cheol Park
- Department of Preventive Medicine, Yonsei University, Seoul, South Korea
- Institute of Health Services Research, Yonsei University, Seoul, South Korea
| | - Eun-Kee Park
- Department of Medical Humanities and Social Medicine, Kosin University, Busan, South Korea
| | | | - Harsh K. Patel
- Department of Internal Medicine, Ochsner Medical Center, New Orleans, Louisiana
| | - Jenil R. Patel
- Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health, Dallas
- Department of Epidemiology, University of Arkansas for Medical Sciences, Little Rock
| | - Siddhartha Pati
- Centre of Excellence, Khallikote University, Berhampur, India
- Research Division, Association for Biodiversity Conservation and Research, Balasore, India
| | | | - Uttam Paudel
- Research Section, Nepal Health Research Council, Kathmandu, Nepal
- Faculty of Humanities and Social Sciences, Tribhuvan University, Kathmandu, Nepal
| | - David M. Pereira
- Associated Laboratory for Green Chemistry, University of Porto, Porto, Portugal
| | | | - Arokiasamy Perianayagam
- Department of Development Studies, International Institute for Population Sciences, Mumbai, India
| | - Julian David Pillay
- Basic Medical Sciences Department, Durban University of Technology, Durban, South Africa
| | - Saeed Pirouzpanah
- Department of Biochemistry and Dietetics, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Farhad Pishgar
- Noncommunicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Urooncology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Indrashis Podder
- Department of Dermatology, College of Medicine and Sagore Dutta Hospital, Kolkata, India
| | - Maarten J. Postma
- University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- School of Economics and Business, University of Groningen, Groningen, Netherlands
| | - Hadi Pourjafar
- Department of Nutrition and Food Sciences, Maragheh University of Medical Sciences, Maragheh, Iran
- Dietary Supplements and Probiotic Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Akila Prashant
- Department of Biochemistry, Jagadguru Sri Shivarathreeswara University, Mysuru, India
| | - Liliana Preotescu
- National Institute of Infectious Diseases, Bucuresti, Romania
- Department of Infectious Diseases, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Mohammad Rabiee
- Biomedical Engineering Department, Amirkabir University of Technology, Tehran, Iran
| | - Navid Rabiee
- Department of Physics, Sharif University of Technology, Tehran, Iran
| | - Amir Radfar
- College of Medicine, University of Central Florida, Orlando
| | | | | | - Ata Rafiee
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Fakher Rahim
- Metabolomics and Genomics Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Shadi Rahimzadeh
- Department of Natural Science, Middlesex University, London, England
| | - Mosiur Rahman
- Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi, Bangladesh
| | - Muhammad Aziz Rahman
- School of Nursing and Healthcare Professions, Federation University Australia, Berwick, Victoria, Australia
- School of Nursing and Midwifery, La Trobe University, Melbourne, Victoria, Australia
| | - Amir Masoud Rahmani
- Future Technology Research Center, National Yunlin University of Science and Technology, Yunlin, Taiwan
| | - Nazanin Rajai
- Department of Internal Medicine, Harvard University, Boston, Massachusetts
| | - Aashish Rajesh
- Department of Surgery, University of Texas Health Science Center at San Antonio, San Antonio
| | - Ivo Rakovac
- European Office for the Prevention and Control of Noncommunicable Diseases, World Health Organization, Moscow, Russia
| | - Pradhum Ram
- Department of Cardiology, Emory University, Atlanta, Georgia
| | - Kiana Ramezanzadeh
- Department of Pharmacology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kamal Ranabhat
- Health Emergency Operation Center, Ministry of Health and Population, Kathmandu, Nepal
- Central Department of Public Health, Institute of Medicine, Kathmandu, Nepal
| | | | - Chythra R. Rao
- Department of Community Medicine, Manipal Academy of Higher Education, Manipal, India
| | - Sowmya J. Rao
- Department of Oral Pathology, Srinivas Institute of Dental Sciences, Mangalore, India
| | - Reza Rawassizadeh
- Department of Computer Science, Boston University, Boston, Massachusetts
| | - Mohammad Sadegh Razeghinia
- Department of Immunology and Laboratory Sciences, Sirjan School of Medical Sciences, Sirjan, Iran
- Department of Immunology, Kerman University of Medical Sciences, Kerman, Iran
| | - Andre M. N. Renzaho
- School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia
- Translational Health Research Institute, Western Sydney University, Campbelltown, New South Wales, Australia
| | - Negar Rezaei
- Noncommunicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Nima Rezaei
- Research Center for Immunodeficiencies, Tehran University of Medical Sciences, Tehran, Iran
- Network of Immunity in Infection, Malignancy and Autoimmunity, Universal Scientific Education and Research Network, Tehran, Iran
| | - Aziz Rezapour
- Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran
| | | | | | - Peter Rohloff
- Department of Global Health and Population, Harvard University, Boston, Massachusetts
- Center for Indigenous Health Research, Wuqu' Kawoq Maya Health Alliance, Tecpan, Guatemala
| | | | - Luca Ronfani
- Clinical Epidemiology and Public Health Research Unit, Burlo Garofolo Institute for Maternal and Child Health, Trieste, Italy
| | - Gholamreza Roshandel
- Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran
| | | | - Manjula S
- Oral and Maxillofacial Surgery, Jagadguru Sri Shivarathreeswara University, Mysore, India
| | - Siamak Sabour
- Department of Epidemiology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Basema Saddik
- Sharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates
| | - Umar Saeed
- Research and Development, Islamabad Diagnostic Center Pakistan, Islamabad, Pakistan
- Biological Production Development, National Institute of Health, Islamabad, Pakistan
| | - Amirhossein Sahebkar
- Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Biotechnology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Harihar Sahoo
- Department of Development Studies, International Institute for Population Sciences, Mumbai, India
| | - Sana Salehi
- Department of Radiology, University of Southern California, Los Angeles
| | - Marwa Rashad Salem
- Public Health and Community Medicine Department, Cairo University, Giza, Egypt
| | - Hamideh Salimzadeh
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehrnoosh Samaei
- Emergency Department, Brown University, Providence, Rhode Island
| | | | - Juan Sanabria
- Department of Surgery, Marshall University, Huntington, West Virginia
- Department of Nutrition and Preventive Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Senthilkumar Sankararaman
- Department of Pediatrics, University Hospitals Rainbow Babies & Children's Hospital, Cleveland, Ohio
- Department of Pediatrics, Case Western Reserve University, Cleveland, Ohio
| | - Milena M. Santric-Milicevic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
- School of Public Health and Health Management, University of Belgrade, Belgrade, Serbia
| | - Yaeesh Sardiwalla
- Division of Plastic and Reconstructive Surgery, McMaster University, Hamilton, Ontario, Canada
| | - Arash Sarveazad
- Colorectal Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Brijesh Sathian
- Geriatric and Long-Term Care Department, Hamad Medical Corporation, Doha, Qatar
- Faculty of Health & Social Sciences, Bournemouth University, Bournemouth, England
| | - Monika Sawhney
- Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte
| | | | | | - Mario Sekerija
- Department of Medical Statistics, Epidemiology and Medical Informatics, University of Zagreb, Zagreb, Croatia
- Department of Epidemiology and Prevention of Chronic Noncommunicable Diseases, Croatian Institute of Public Health, Zagreb, Croatia
| | - Allen Seylani
- National Heart, Lung, and Blood Institute, National Institutes of Health, Rockville, Maryland
| | - Omid Shafaat
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
- Department of Radiology and Interventional Neuroradiology, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Zahra Shaghaghi
- Clinical Research Development Unit of Farshchian Heart Center, Hamedan University of Medical Sciences, Hamadan, Iran
| | | | - Erfan Shamsoddin
- Department of Oral Health, Non-Communicable Diseases Research Center, Tehran, Iran
- Noncommunicable Diseases Committee, National Institute for Medical Research Developmen, Tehran, Iran
| | - Mohammed Shannawaz
- Symbiosis Medical College for Women, Symbiosis International University, Pune, India
| | - Rajesh Sharma
- University School of Management and Entrepreneurship, Delhi Technological University, Delhi, India
| | - Aziz Sheikh
- Centre for Medical Informatics, University of Edinburgh, Edinburgh, Scotland
- Division of General Internal Medicine, Harvard University, Boston, Massachusetts
| | - Sara Sheikhbahaei
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - Adithi Shetty
- Department of Obstetrics and Gynaecology, Manipal Academy of Higher Education, Mangalore, India
| | - Jeevan K. Shetty
- Department of Biochemistry, Manipal University College Melaka, Melaka, Malaysia
| | - Pavanchand H. Shetty
- Department of Forensic Medicine, Manipal Academy of Higher Education, Mangalore, India
| | | | - Reza Shirkoohi
- Cancer Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Cancer Biology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - K. M. Shivakumar
- Public Health Dentistry Department, Krishna Institute of Medical Sciences, Karad, India
| | - Velizar Shivarov
- Clinical Immunology and Hematology, Sofiamed University Hospital, Sofia, Bulgaria
- Department of Genetics, Sofia University St. Kliment Ohridiski, Sofia, Bulgaria
| | - Soraya Siabani
- Department of Health Education and Health Promotion, Kermanshah University of Medical Sciences, Kermanshah, Iran
- School of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | | | | | - Jasvinder A. Singh
- School of Medicine, University of Alabama at Birmingham, Birmingham
- Medicine Service Department of Veterans Affairs, Birmingham, Alabama
| | | | | | | | - Matthew J. Soeberg
- Asbestos Diseases Research Institute, Sydney, New South Wales, Australia
| | - Ahmad Sofi-Mahmudi
- Department of Oral Health, Non-Communicable Diseases Research Center, Tehran, Iran
- Cochrane Iran Associate Centre, National Institute for Medical Research Development, Iranian Ministry of Health and Medical Education, Tehran, Iran
| | - Houman Sotoudeh
- Department of Radiology, University of Alabama at Birmingham, Birmingham
| | | | - Kurt Straif
- Schiller Institute, Boston College, Boston, Massachusetts
- Barcelona Institute for Global Health, Barcelona, Spain
| | | | | | - Iyad Sultan
- Pediatric Services, King Hussein Cancer Center, Amman, Jordan
- Pediatrics, University of Jordan, Amman, Jordan
| | - Saima Sultana
- Maternal and Child Health, Projahnmo Research Foundation, Dhaka, Bangladesh
| | - Daniel Sur
- Department of Medical Oncology, The Oncology Institute “Prof Dr Ion Chiricuţă” Cluj-Napoca, Cluj-Napoca, Romania
- Department of Medical Oncology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Viktória Szerencsés
- Health Services Management Training Centre, Semmelweis University, Budapest, Hungary
| | - 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, Madrid, Spain
| | - Takahiro Tabuchi
- Cancer Control Center, Osaka International Cancer Institute, Osaka, Japan
| | | | - Amir Taherkhani
- Research Center for Molecular Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Ken Takahashi
- Asbestos Diseases Research Institute, Sydney, New South Wales, Australia
| | - Iman M. Talaat
- Clinical Sciences Department, University of Sharjah, Sharjah, United Arab Emirates
- Pathology Department, Alexandria University, Alexandria, Egypt
| | - Ker-Kan Tan
- Department of Surgery, National University of Singapore, Singapore, Singapore
| | - Vivian Y. Tat
- Department of Pathology, University of Texas, Galveston
| | - Bemnet Amare A. Tedla
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, Queensland, Australia
- University of Gondar, Gondar, Ethiopia
| | | | - Arash Tehrani-Banihashemi
- Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Community and Family Medicine, Iran University of Medical Sciences, Tehran, Iran
| | | | - Fisaha Haile Tesfay
- School of Public Health, Mekelle University, Mekelle, Ethiopia
- Southgate Institute for Health and Society, Flinders University, Adelaide, South Australia, Australia
| | - Gizachew Assefa Tessema
- School of Public Health, Curtin University, Perth, Western Australia, Australia
- School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
| | - Rekha Thapar
- Department of Community Medicine, Manipal Academy of Higher Education, Mangalore, India
| | - Aravind Thavamani
- Department of Pediatrics, University Hospitals Rainbow Babies & Children's Hospital, Cleveland, Ohio
- Division of Pediatric Gastroenterology, Case Western Reserve University, Cleveland, Ohio
| | | | - Nihal Thomas
- Department of Endocrinology, Diabetes and Metabolism, Christian Medical College and Hospital, Vellore, India
| | - Hamid Reza Tohidinik
- HIV/STI Surveillance Research Center and World Health Organization Collaborating Center for HIV Surveillance, Kerman University of Medical Sciences, Kerman, Iran
| | - Mathilde Touvier
- Nutritional Epidemiology Research Team, National Institute for Health and Medical Research Institut national de la santé et de la recherche médicale, Paris, France
- Department of Health, Medicine and Human Biology, Sorbonne Paris Nord University, Bobigny, France
| | - Marcos Roberto Tovani-Palone
- Department of Pathology and Legal Medicine, University of São Paulo, Ribeirão Preto, Brazil
- Modestum LTD, London, England
| | - Eugenio Traini
- Clinical Epidemiology and Public Health Research Unit, Burlo Garofolo Institute for Maternal and Child Health, Trieste, Italy
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Bach Xuan Tran
- Department of Health Economics, Hanoi Medical University, Hanoi, Vietnam
| | - Khanh Bao Tran
- Department of Molecular Medicine and Pathology, University of Auckland, Auckland, New Zealand
- Clinical Hematology and Toxicology, Maurice Wilkins Centre, Auckland, New Zealand
| | - Mai Thi Ngoc Tran
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
- Health Informatics Department, Nursing and Midwifery Faculty, Hanoi Medical University, Ha Noi, Vietnam
| | - Jaya Prasad Tripathy
- Department of Community Medicine, All India Institute of Medical Sciences, Nagpur, India
| | - Biruk Shalmeno Tusa
- Department of Epidemiology and Biostatistics, Haramaya University, Haramaya, Ethiopia
| | - Irfan Ullah
- Department of Allied Health Sciences, Iqra National University, Peshawar, Pakistan
- Pakistan Council for Science and Technology, Ministry of Science and Technology, Islamabad, Pakistan
| | - Saif Ullah
- Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, Faisalabad, Pakistan
| | | | | | - Era Upadhyay
- Amity Institute of Biotechnology, Amity University Rajasthan, Jaipur, India
| | - Marco Vacante
- Department of General Surgery and Medical-Surgical Specialties, University of Catania, Catania, Italy
| | - Maryam Vaezi
- Alzahra Teaching Hospital, Tabriz University of Medical Sciences, Tabriz, Iran
- Women's Reproductive Health Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Sahel Valadan Tahbaz
- Clinical Cancer Research Center, Milad General Hospital, Tehran, Iran
- Department of Microbiology, Islamic Azad University, Tehran, Iran
| | - Diana Zuleika Velazquez
- Faculty of Veterinary Medicine and Zootechnics, Autonomous University of Sinaloa, Culiacán Rosales, Mexico
| | - Massimiliano Veroux
- Department of Medical and Surgical Sciences and Advanced Technologies, University of Catania, Catania, Italy
| | - Francesco S. Violante
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
- Occupational Health Unit, Sant'Orsola Malpighi Hospital, Bologna, Italy
| | - Vasily Vlassov
- Department of Health Care Administration and Economics, National Research University Higher School of Economics, Moscow, Russia
| | - Bay Vo
- Faculty of Information Technology, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam
| | - Victor Volovici
- Department of Neurosurgery, Erasmus University Medical Center, Rotterdam, Netherlands
- Center for Experimental Microsurgery, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Giang Thu Vu
- Center of Excellence in Behavioral Medicine, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, Islamabad, Pakistan
| | - Richard G. Wamai
- Cultures, Societies and Global Studies, Integrated Initiative for Global Health, Northeastern University, Boston, Massachusetts
- School of Public Health, University of Nairobi, Nairobi, Kenya
| | - Paul Ward
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Yi Feng Wen
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, Stomatological Hospital (College) of Xi'an Jiaotong University, Xi'an, China
| | - Ronny Westerman
- Competence Center of Mortality-Follow-Up of the German National Cohort, 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
| | - Lalit Yadav
- Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
- Research and Development Division, The George Institute for Global Health, New Delhi, India
| | | | - Lin Yang
- Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, British Columbia, Canada
- Department of Oncology, University of Calgary, Calgary, Alberta, Canada
| | - Sanni Yaya
- School of International Development and Global Studies, University of Ottawa, Ottawa, Ontario, Canada
- George Institute for Global Health, University of Oxford, Oxford, England
| | | | - Yigizie Yeshaw
- Department of Epidemiology and Biostatistics, University of Gondar, Gondar, Ethiopia
| | - Naohiro Yonemoto
- Department of Neuropsychopharmacology, National Center of Neurology and Psychiatry, Kodaira, Japan
- Department of Public Health, Juntendo University, Tokyo, Japan
| | - Mustafa Z. Younis
- Department of Health Policy and Management, Jackson State University, Jackson, Mississippi
- School of Medicine, Tsinghua University, Beijing, China
| | - Zabihollah Yousefi
- Department of Environmental Health, Mazandaran University of Medical Sciences, Sari, Iran
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, Wuhan University, Wuhan, China
| | - Deniz Yuce
- Cancer Institute, Hacettepe University, Ankara, Turkey
| | - Ismaeel Yunusa
- Department of Clinical Pharmacy and Outcomes Sciences, University of South Carolina, Columbia
| | - Vesna Zadnik
- Epidemiology and Cancer Registry Sector, Institute of Oncology Ljubljana, Ljubljana, Slovenia
| | - Fariba Zare
- Shahroud University of Medical Sciences, Shahroud, Iran
| | - Mikhail Sergeevich Zastrozhin
- Laboratory of Genetics and Genomics, Moscow Research and Practical Centre on Addictions, Moscow, Russia
- Addictology Department, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Anasthasia Zastrozhina
- Pediatrics Department, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Jianrong Zhang
- Department of General Practice, University of Melbourne, Melbourne, Victoria, Australia
- Victorian Comprehensive Cancer Centre, Melbourne, Victoria, Australia
| | - Chenwen Zhong
- Jockey Club School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China
| | - Linghui Zhou
- Bone Marrow Transplantation Center, Zhejiang University, Hangzhou, China
| | - Cong Zhu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston, Houston
| | - Arash Ziapour
- Department of Health Education and Health Promotion, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | | | - Christina Fitzmaurice
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Division of Hematology, University of Washington, Seattle
| | - 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
| | - Lisa M. Force
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
- Division of Pediatric Hematology-Oncology, University of Washington, Seattle
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Sanjeev A, Reddy NN, Bhaskar S, Rohini R, Raju AK, Kumar BV, Hu A, Reddy PM. Synthesis and Anticancer Activity of 3,4,5-Trimethoxycinnamamide-Tethered 1,2,3-Triazole Derivatives. Russ J Org Chem 2022. [DOI: 10.1134/s1070428022010122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Nichols E, Steinmetz JD, Vollset SE, Fukutaki K, Chalek J, Abd-Allah F, Abdoli A, Abualhasan A, Abu-Gharbieh E, Akram TT, Al Hamad H, Alahdab F, Alanezi FM, Alipour V, Almustanyir S, Amu H, Ansari I, Arabloo J, Ashraf T, Astell-Burt T, Ayano G, Ayuso-Mateos JL, Baig AA, Barnett A, Barrow A, Baune BT, Béjot Y, Bezabhe WMM, Bezabih YM, Bhagavathula AS, Bhaskar S, Bhattacharyya K, Bijani A, Biswas A, Bolla SR, Boloor A, Brayne C, Brenner H, Burkart K, Burns RA, Cámera LA, Cao C, Carvalho F, Castro-de-Araujo LFS, Catalá-López F, Cerin E, Chavan PP, Cherbuin N, Chu DT, Costa VM, Couto RAS, Dadras O, Dai X, Dandona L, Dandona R, De la Cruz-Góngora V, Dhamnetiya D, Dias da Silva D, Diaz D, Douiri A, Edvardsson D, Ekholuenetale M, El Sayed I, El-Jaafary SI, Eskandari K, Eskandarieh S, Esmaeilnejad S, Fares J, Faro A, Farooque U, Feigin VL, Feng X, Fereshtehnejad SM, Fernandes E, Ferrara P, Filip I, Fillit H, Fischer F, Gaidhane S, Galluzzo L, Ghashghaee A, Ghith N, Gialluisi A, Gilani SA, Glavan IR, Gnedovskaya EV, Golechha M, Gupta R, Gupta VB, Gupta VK, Haider MR, Hall BJ, Hamidi S, Hanif A, Hankey GJ, Haque S, Hartono RK, Hasaballah AI, Hasan MT, Hassan A, Hay SI, Hayat K, Hegazy MI, Heidari G, Heidari-Soureshjani R, Herteliu C, Househ M, Hussain R, Hwang BF, Iacoviello L, Iavicoli I, Ilesanmi OS, Ilic IM, Ilic MD, Irvani SSN, Iso H, Iwagami M, Jabbarinejad R, Jacob L, Jain V, Jayapal SK, Jayawardena R, Jha RP, Jonas JB, Joseph N, Kalani R, Kandel A, Kandel H, Karch A, Kasa AS, Kassie GM, Keshavarz P, Khan MAB, Khatib MN, Khoja TAM, Khubchandani J, Kim MS, Kim YJ, Kisa A, Kisa S, Kivimäki M, Koroshetz WJ, Koyanagi A, Kumar GA, Kumar M, Lak HM, Leonardi M, Li B, Lim SS, Liu X, Liu Y, Logroscino G, Lorkowski S, Lucchetti G, Lutzky Saute R, Magnani FG, Malik AA, Massano J, Mehndiratta MM, Menezes RG, Meretoja A, Mohajer B, Mohamed Ibrahim N, Mohammad Y, Mohammed A, Mokdad AH, Mondello S, Moni MAA, Moniruzzaman M, Mossie TB, Nagel G, Naveed M, Nayak VC, Neupane Kandel S, Nguyen TH, Oancea B, Otstavnov N, Otstavnov SS, Owolabi MO, Panda-Jonas S, Pashazadeh Kan F, Pasovic M, Patel UK, Pathak M, Peres MFP, Perianayagam A, Peterson CB, Phillips MR, Pinheiro M, Piradov MA, Pond CD, Potashman MH, Pottoo FH, Prada SI, Radfar A, Raggi A, Rahim F, Rahman M, Ram P, Ranasinghe P, Rawaf DL, Rawaf S, Rezaei N, Rezapour A, Robinson SR, Romoli M, Roshandel G, Sahathevan R, Sahebkar A, Sahraian MA, Sathian B, Sattin D, Sawhney M, Saylan M, Schiavolin S, Seylani A, Sha F, Shaikh MA, Shaji KS, Shannawaz M, Shetty JK, Shigematsu M, Shin JI, Shiri R, Silva DAS, Silva JP, Silva R, Singh JA, Skryabin VY, Skryabina AA, Smith AE, Soshnikov S, Spurlock EE, Stein DJ, Sun J, Tabarés-Seisdedos R, Thakur B, Timalsina B, Tovani-Palone MR, Tran BX, Tsegaye GW, Valadan Tahbaz S, Valdez PR, Venketasubramanian N, Vlassov V, Vu GT, Vu LG, Wang YP, Wimo A, Winkler AS, Yadav L, Yahyazadeh Jabbari SH, Yamagishi K, Yang L, Yano Y, Yonemoto N, Yu C, Yunusa I, Zadey S, Zastrozhin MS, Zastrozhina A, Zhang ZJ, Murray CJL, Vos T. Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019. Lancet Public Health 2022; 7:e105-e125. [PMID: 34998485 PMCID: PMC8810394 DOI: 10.1016/s2468-2667(21)00249-8] [Citation(s) in RCA: 1018] [Impact Index Per Article: 509.0] [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: 05/31/2021] [Revised: 09/17/2021] [Accepted: 10/28/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Given the projected trends in population ageing and population growth, the number of people with dementia is expected to increase. In addition, strong evidence has emerged supporting the importance of potentially modifiable risk factors for dementia. Characterising the distribution and magnitude of anticipated growth is crucial for public health planning and resource prioritisation. This study aimed to improve on previous forecasts of dementia prevalence by producing country-level estimates and incorporating information on selected risk factors. METHODS We forecasted the prevalence of dementia attributable to the three dementia risk factors included in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 (high body-mass index, high fasting plasma glucose, and smoking) from 2019 to 2050, using relative risks and forecasted risk factor prevalence to predict GBD risk-attributable prevalence in 2050 globally and by world region and country. Using linear regression models with education included as an additional predictor, we then forecasted the prevalence of dementia not attributable to GBD risks. To assess the relative contribution of future trends in GBD risk factors, education, population growth, and population ageing, we did a decomposition analysis. FINDINGS We estimated that the number of people with dementia would increase from 57·4 (95% uncertainty interval 50·4-65·1) million cases globally in 2019 to 152·8 (130·8-175·9) million cases in 2050. Despite large increases in the projected number of people living with dementia, age-standardised both-sex prevalence remained stable between 2019 and 2050 (global percentage change of 0·1% [-7·5 to 10·8]). We estimated that there were more women with dementia than men with dementia globally in 2019 (female-to-male ratio of 1·69 [1·64-1·73]), and we expect this pattern to continue to 2050 (female-to-male ratio of 1·67 [1·52-1·85]). There was geographical heterogeneity in the projected increases across countries and regions, with the smallest percentage changes in the number of projected dementia cases in high-income Asia Pacific (53% [41-67]) and western Europe (74% [58-90]), and the largest in north Africa and the Middle East (367% [329-403]) and eastern sub-Saharan Africa (357% [323-395]). Projected increases in cases could largely be attributed to population growth and population ageing, although their relative importance varied by world region, with population growth contributing most to the increases in sub-Saharan Africa and population ageing contributing most to the increases in east Asia. INTERPRETATION Growth in the number of individuals living with dementia underscores the need for public health planning efforts and policy to address the needs of this group. Country-level estimates can be used to inform national planning efforts and decisions. Multifaceted approaches, including scaling up interventions to address modifiable risk factors and investing in research on biological mechanisms, will be key in addressing the expected increases in the number of individuals affected by dementia. FUNDING Bill & Melinda Gates Foundation and Gates Ventures.
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Bhatia R, Haldar P, Puri I, Padma Srivastava MV, Bhoi S, Jha M, Dey A, Naik S, Guru S, Singh M, Vishnu VY, Rajan R, Gupta A, Vibha D, Pandit A, Agarwal A, Salunkhe M, Singh G, Prasad D, Panda S, Anand S, Rohila A, Khera P, Tiwari S, Bhaskar S, Garg M, Kumar N, Dhar M, Tiwari A, Agrawal N, Raju G, Garg J, Ray B, Bhardwaj A, Verma A, Dongre N, Chhina G, Sibia R, Kaur R, Zanzmera P, Gamit A, Iype T, Garg R, Singh S, Kumar A, Ranjan A, Sardana V, Soni D, Bhushan B, Dhamija R, Saluja A, Bala K, Dabla S, Goswami D, Agarwal A, Shah S, Shah S, Patel M, Joshi P, Awasthi S, Nath S, Chandan S, Malik R, Chowdhury N. Study protocol: IMPETUS: Implementing a uniform stroke care pathway in medical colleges of India: IMPETUS Stroke. Ann Indian Acad Neurol 2022; 25:640-646. [PMID: 36211192 PMCID: PMC9540919 DOI: 10.4103/aian.aian_1033_21] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 12/02/2021] [Indexed: 11/14/2022] Open
Abstract
Introduction: In India, a national program for stroke (national programme for the control of cardiovascular diseases, diabetes, cancer, and stroke) and stroke management guidelines exist. Its successful implementation would need an organized system of stroke care in practice. However, many challenges exist including lack of awareness, prehospital notification systems, stroke ready hospitals, infrastructural weaknesses, and rehabilitation. We present here a protocol to investigate the feasibility and fidelity of implementing a uniform stroke care pathway in medical colleges of India. Methods and Analysis: This is a multicentric, prospective, multiphase, mixed-method, quasi-experimental implementation study intended to examine the changes in a select set of stroke care-related indicators over time within the sites exposed to the same implementation strategy. We shall conduct process evaluation of the implementation process as well as evaluate the effect of the implementation strategy using the interrupted time series design. During implementation phase, education and training about standard stroke care pathway will be provided to all stakeholders of implementing sites. Patient-level outcomes in the form of modified Rankin Scale score will be collected for all consecutive patients throughout the study. Process evaluation outcomes will be collected and reported in the form of various stroke care indicators. We will report level and trend changes in various indicators during the three study phases. Discussion: Acute stroke requires timely detection, management, and secondary prevention. Implementation of the uniform stroke care pathway is a unique opportunity to promote the requirements of homogenous stroke care in medical colleges of India.
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Leontsinis I, Papademetriou V, Chrysohoou C, Kariori M, Dalakouras I, Tolis P, Fragoulis C, Kalos T, Tatakis FP, Dimitriadis K, Doumas M, Sambatakou H, Pirounaki M, Mihas C, Katsiki N, Bhaskar S, Tsivgoulis G, Tousoulis D, Banach M, Tsioufis K. Hypertensive urgencies during the first wave of the COVID-19 pandemic in a tertiary hospital setting: a U-shaped alarming curve. Arch Med Sci 2022; 18:982-990. [PMID: 35832718 PMCID: PMC9266735 DOI: 10.5114/aoms/141243] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 08/13/2021] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION The coronavirus disease 2019 (COVID-19) pandemic provoked unprecedented disturbance in hypertension care, while alarming concerns arose about its long-term consequences. We investigated the trends of emergency visits and admissions regarding uncontrolled hypertension in order to assess the impact of COVID-19 spread on population behavior towards hypertension urgencies during its first wave. MATERIAL AND METHODS Data from daily unscheduled visits and admission counts in the Cardiology sector were collected from the Emergency Department database of a tertiary General Hospital in Athens, Greece for the period January 15th to July 15th 2020. These data were compared with those from the previous year. Cases of patients who presented with hypertensive urgency or who were admitted due to uncontrolled hypertension were separately analyzed. RESULTS A total of 7,373 patient records were analyzed. Hypertension urgency cases demonstrated a U-shaped distribution in 2020, showing a declining trend during the rapid virus spread, an image that was reversed after the transmission rate's decline. COVID-19 incidence in Greece was inversely associated with uncontrolled hypertension admissions during its declining phase (r = -0.64, p = 0.009), whereas total attendance exhibited a similar correlation during the first and the following months of the pandemic (r = 0.677, p = 0.031, r = -0.789, p = 0.001). Uncontrolled hypertension rate on admission was positively related to the national incidence of COVID-19 cases during the first months of 2020 (r = 0.82, p = 0.045). CONCLUSIONS Hypertensive urgency-related visits followed a U-shape distribution during the pandemic's first wave with the attendance nadir coinciding with the virus spread peak. This is a complex phenomenon, closely related to increased levels of public stress, disruptions in health care services and to a lesser extent to the imposed restrictions in transportation. The initial relative increase in uncontrolled hypertension-related admissions rate, combined with the later increase of hypertensive urgencies may be indicative of blood pressure deregulation among the studied population, which is multifactorial and potentially detrimental.
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Affiliation(s)
- Ioannis Leontsinis
- First Cardiology Clinic, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Vasilios Papademetriou
- Cardiology Department, Georgetown University and Veterans Affairs Medical Center, Washington, District of Columbia, USA
| | - Christina Chrysohoou
- First Cardiology Clinic, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria Kariori
- First Cardiology Clinic, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis Dalakouras
- First Cardiology Clinic, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Panayotis Tolis
- First Cardiology Clinic, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Christos Fragoulis
- First Cardiology Clinic, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Theodoros Kalos
- First Cardiology Clinic, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Fotios-Panagiotis Tatakis
- First Cardiology Clinic, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Kyriakos Dimitriadis
- First Cardiology Clinic, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Michael Doumas
- Second Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, Hippokration Hospital, Thessaloniki, Greece
| | - Helen Sambatakou
- Second Department of Internal Medicine, HIV Unit, Hippokration General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria Pirounaki
- Department of Internal Medicine, Hippokration General Hospital, Athens, Greece
| | - Constantinos Mihas
- First Cardiology Clinic, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Niki Katsiki
- Department of Nutritional Sciences and Dietetics, International Hellenic University, Athens, Greece
- School of Medicine, European University Cyprus, Nicosia, Cyprus
| | - Sonu Bhaskar
- Department of Neurology, Liverpool Hospital and South Western Sydney Local Health District, Sydney, NSW, Australia
| | - Georgios Tsivgoulis
- Second Department of Neurology, Attikon Hospital, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
| | - Dimitrios Tousoulis
- First Cardiology Clinic, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Maciej Banach
- Department of Hypertension, Medical University of Lodz (MUL), Lodz, Poland
- Polish Mother’s Memorial Hospital Research Institute (PMMHRI), Lodz, Poland
- Cardiovascular Research Centre, University of Zielona Gora, Zielona Gora, Poland
| | - Konstantinos Tsioufis
- First Cardiology Clinic, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
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Alvarez EM, Force LM, Xu R, Compton K, Lu D, Henrikson HJ, Kocarnik JM, Harvey JD, Pennini A, Dean FE, Fu W, Vargas MT, Keegan THM, Ariffin H, Barr RD, Erdomaeva YA, Gunasekera DS, John-Akinola YO, Ketterl TG, Kutluk T, Malogolowkin MH, Mathur P, Radhakrishnan V, Ries LAG, Rodriguez-Galindo C, Sagoyan GB, Sultan I, Abbasi B, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abbastabar H, Abdelmasseh M, Abd-Elsalam S, Abdoli A, Abebe H, Abedi A, Abidi H, Abolhassani H, Abubaker Ali H, Abu-Gharbieh E, Achappa B, Acuna JM, Adedeji IA, Adegboye OA, Adnani QES, Advani SM, Afzal MS, Aghaie Meybodi M, Ahadinezhad B, Ahinkorah BO, Ahmad S, Ahmadi S, Ahmed MB, Ahmed Rashid T, Ahmed Salih Y, Aiman W, Akalu GT, Al Hamad H, Alahdab F, AlAmodi AA, Alanezi FM, Alanzi TM, Alem AZ, Alem DT, Alemayehu Y, Alhalaiqa FN, Alhassan RK, Ali S, Alicandro G, Alipour V, Aljunid SM, Alkhayyat M, Alluri S, Almasri NA, Al-Maweri SA, Almustanyir S, Al-Raddadi RM, Alvis-Guzman N, Ameyaw EK, Amini S, Amu H, Ancuceanu R, Andrei CL, Andrei T, Ansari F, Ansari-Moghaddam A, Anvari D, Anyasodor AE, Arabloo J, Arab-Zozani M, Argaw AM, Arshad M, Arulappan J, Aryannejad A, Asemi Z, Asghari Jafarabadi M, Atashzar MR, Atorkey P, Atreya A, Attia S, Aujayeb A, Ausloos M, Avila-Burgos L, Awedew AF, Ayala Quintanilla BP, Ayele AD, Ayen SS, Azab MA, Azadnajafabad S, Azami H, Azangou-Khyavy M, Azari Jafari A, Azarian G, Azzam AY, Bahadory S, Bai J, Baig AA, Baker JL, Banach M, Bärnighausen TW, Barone-Adesi F, Barra F, Barrow A, Basaleem H, Batiha AMM, Behzadifar M, Bekele NC, Belete R, Belgaumi UI, Bell AW, Berhie AY, Bhagat DS, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bibi S, Bijani A, Biondi A, Birara S, Bjørge T, Bolarinwa OA, Bolla SR, Boloor A, Braithwaite D, Brenner H, Bulamu NB, Burkart K, Bustamante-Teixeira MT, Butt NS, Butt ZA, Caetano dos Santos FL, Cao C, Cao Y, Carreras G, Catalá-López F, Cembranel F, Cerin E, Chakinala RC, Chakraborty PA, Chattu VK, Chaturvedi P, Chaurasia A, Chavan PP, Chimed-Ochir O, Choi JYJ, Christopher DJ, Chu DT, Chung MT, Conde J, Costa VM, Da'ar OB, Dadras O, Dahlawi SMA, Dai X, Damiani G, D'Amico E, Dandona L, Dandona R, Daneshpajouhnejad P, Darwish AH, Daryani A, De la Hoz FP, Debela SA, Demie TGG, Demissie GD, Demissie ZG, Denova-Gutiérrez E, Derbew Molla M, Desai R, Desta AA, Dhamnetiya D, Dharmaratne SD, Dhimal ML, Dhimal M, Dianatinasab M, Didehdar M, Diress M, Djalalinia S, Do HP, Doaei S, Dorostkar F, dos Santos WM, Drake TM, Ekholuenetale M, El Sayed I, El Sayed Zaki M, El Tantawi M, El-Abid H, Elbahnasawy MA, Elbarazi I, Elhabashy HR, Elhadi M, El-Jaafary SI, Enyew DB, Erkhembayar R, Eshrati B, Eskandarieh S, Faisaluddin M, Fares J, Farooque U, Fasanmi AO, Fatima W, Ferreira de Oliveira JMP, Ferrero S, Ferro Desideri L, Fetensa G, Filip I, Fischer F, Fisher JL, Foroutan M, Fukumoto T, Gaal PA, Gad MM, Gaewkhiew P, Gallus S, Garg T, Gebremeskel TG, Gemeda BNB, Getachew T, Ghafourifard M, Ghamari SH, Ghashghaee A, Ghassemi F, Ghith N, Gholami A, Gholizadeh Navashenaq J, Gilani SA, Ginindza TG, Gizaw AT, Glasbey JC, Goel A, Golechha M, Goleij P, Golinelli D, Gopalani SV, Gorini G, Goudarzi H, Goulart BNG, Grada A, Gubari MIM, Guerra MR, Guha A, Gupta B, Gupta S, Gupta VB, Gupta VK, Haddadi R, Hafezi-Nejad N, Hailu A, Haj-Mirzaian A, Halwani R, Hamadeh RR, Hambisa MT, Hameed S, Hamidi S, Haque S, Hariri S, Haro JM, Hasaballah AI, Hasan SMM, Hashemi SM, Hassan TS, Hassanipour S, Hay SI, Hayat K, Hebo SH, Heidari G, Heidari M, Herrera-Serna BY, Herteliu C, Heyi DZ, Hezam K, Hole MK, Holla R, Horita N, Hossain MM, Hossain MB, Hosseini MS, Hosseini M, Hosseinzadeh A, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsairi M, Huang J, Hussein NR, Hwang BF, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Innos K, Irham LM, Islam RM, Islam SMS, Ismail NE, Isola G, Iwagami M, Jacob L, Jadidi-Niaragh F, Jain V, Jakovljevic M, Janghorban R, Javadi Mamaghani A, Jayaram S, Jayawardena R, Jazayeri SB, Jebai R, Jha RP, Joo T, Joseph N, Joukar F, Jürisson M, Kaambwa B, Kabir A, Kalankesh LR, Kaliyadan F, Kamal Z, Kamath A, Kandel H, Kar SS, Karaye IM, Karimi A, Kassa BG, Kauppila JH, Kemp Bohan PM, Kengne AP, Kerbo AA, Keykhaei M, Khader YS, Khajuria H, Khalili N, Khalili N, Khan EA, Khan G, Khan M, Khan MN, Khan MAB, Khanali J, Khayamzadeh M, Khosravizadeh O, Khubchandani J, Khundkar R, Kim MS, Kim YJ, Kisa A, Kisa S, Kissimova-Skarbek K, Kolahi AA, Kopec JA, Koteeswaran R, Koulmane Laxminarayana SL, Koyanagi A, Kugbey N, Kumar GA, Kumar N, Kwarteng A, La Vecchia C, Lan Q, Landires I, Lasrado S, Lauriola P, Ledda C, Lee SW, Lee WC, Lee YY, Lee YH, Leigh J, Leong E, Li B, Li J, Li MC, Lim SS, Liu X, Lobo SW, Loureiro JA, Lugo A, Lunevicius R, Magdy Abd El Razek H, Magdy Abd El Razek M, Mahmoudi M, Majeed A, Makki A, Male S, Malekpour MR, Malekzadeh R, Malik AA, Mamun MA, Manafi N, Mansour-Ghanaei F, Mansouri B, Mansournia MA, Martini S, Masoumi SZ, Matei CN, Mathur MR, McAlinden C, Mehrotra R, Mendoza W, Menezes RG, Mentis AFA, Meretoja TJ, Mersha AG, Mesregah MK, Mestrovic T, Miao Jonasson J, Miazgowski B, Michalek IM, Miller TR, Mingude AB, Mirmoeeni S, Mirzaei H, Misra S, Mithra P, Mohammad KA, Mohammadi M, Mohammadi SM, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed A, Mohammed S, Mohammed TA, Moka N, Mokdad AH, Molokhia M, Momtazmanesh S, Monasta L, Moni MA, Moradi G, Moradi Y, Moradzadeh M, Moradzadeh R, Moraga P, Morrison SD, Mostafavi E, Mousavi Khaneghah A, Mpundu-Kaambwa C, Mubarik S, Mwanri L, Nabhan AF, Nagaraju SP, Nagata C, Naghavi M, Naimzada MD, Naldi L, Nangia V, Naqvi AA, Narasimha Swamy S, Narayana AI, Nayak BP, Nayak VC, Nazari J, Nduaguba SO, Negoi I, Negru SM, Nejadghaderi SA, Nepal S, Neupane Kandel S, Nggada HA, Nguyen CT, Nnaji CA, Nosrati H, Nouraei H, Nowroozi A, Nuñez-Samudio V, Nwatah VE, Nzoputam CI, Oancea B, Odukoya OO, Oguntade AS, Oh IH, Olagunju AT, Olagunju TO, Olakunde BO, Oluwasanu MM, Omar E, Omar Bali A, Ong S, Onwujekwe OE, Ortega-Altamirano DV, Otstavnov N, Otstavnov SS, Oumer B, Owolabi MO, P A M, Padron-Monedero A, Padubidri JR, Pakshir K, Pana A, Pandey A, Pardhan S, Pashazadeh Kan F, Pasovic M, Patel JR, Pati S, Pattanshetty SM, Paudel U, Pereira RB, Peres MFP, Perianayagam A, Postma MJ, Pourjafar H, Pourshams A, Prashant A, Pulakunta T, Qadir MMFF, Rabiee M, Rabiee N, Radfar A, Radhakrishnan RA, Rafiee A, Rafiei A, Rafiei S, Rahim F, Rahimzadeh S, Rahman M, Rahman MA, Rahmani AM, Rajesh A, Ramezani-Doroh V, Ranabhat K, Ranasinghe P, Rao CR, Rao SJ, Rashedi S, Rashidi M, Rashidi MM, Rath GK, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Razeghinia MS, Regasa MT, Renzaho AMN, Rezaei M, Rezaei N, Rezaei N, Rezaeian M, Rezapour A, Rezazadeh-Khadem S, Riad A, Rios Lopez LE, Rodriguez JAB, Ronfani L, Roshandel G, Rwegerera GM, Saber-Ayad MM, Sabour S, Saddik B, Sadeghi E, Sadeghian S, Saeed U, Sahebkar A, Saif-Ur-Rahman KM, Sajadi SM, Salahi S, Salehi S, Salem MR, Salimzadeh H, Samy AM, Sanabria J, Sanmarchi F, Sarveazad A, Sathian B, Sawhney M, Sawyer SM, Saylan M, Schneider IJC, Seidu AA, Šekerija M, Sendo EG, Sepanlou SG, Seylani A, Seyoum K, Sha F, Shafaat O, Shaikh MA, Shamsoddin E, Shannawaz M, Sharma R, Sheikhbahaei S, Shetty A, Shetty BSK, Shetty PH, Shin JI, Shirkoohi R, Shivakumar KM, Shobeiri P, Siabani S, Sibhat MM, Siddappa Malleshappa SK, Sidemo NB, Silva DAS, Silva Julian G, Singh AD, Singh JA, Singh JK, Singh S, Sinke AH, Sintayehu Y, Skryabin VY, Skryabina AA, Smith L, Sofi-Mahmudi A, Soltani-Zangbar MS, Song S, Spurlock EE, Steiropoulos P, Straif K, Subedi R, Sufiyan MB, Suliankatchi Abdulkader R, Sultana S, Szerencsés V, Szócska M, Tabaeian SP, Tabarés-Seisdedos R, Tabary M, Tabuchi T, Tadbiri H, Taheri M, Taherkhani A, Takahashi K, Tampa M, Tan KK, Tat VY, Tavakoli A, Tbakhi A, Tehrani-Banihashemi A, Temsah MH, Tesfay FH, Tesfaye B, Thakur JS, Thapar R, Thavamani A, Thiyagarajan A, Thomas N, Tobe-Gai R, Togtmol M, Tohidast SA, Tohidinik HR, Tolani MA, Tollosa DN, Touvier M, Tovani-Palone MR, Traini E, Tran BX, Tran MTN, Tripathy JP, Tusa BS, Ukke GG, Ullah I, Ullah S, Umapathi KK, Unnikrishnan B, Upadhyay E, Ushula TW, Vacante M, Valadan Tahbaz S, Varthya SB, Veroux M, Villeneuve PJ, Violante FS, Vlassov V, Vu GT, Waheed Y, Wang N, Ward P, Weldesenbet AB, Wen YF, Westerman R, Winkler AS, Wubishet BL, Xu S, Yahyazadeh Jabbari SH, Yang L, Yaya S, Yazdi-Feyzabadi V, Yazie TS, Yehualashet SS, Yeshaneh A, Yeshaw Y, Yirdaw BW, Yonemoto N, Younis MZ, Yousefi Z, Yu C, Yunusa I, Zadnik V, Zahir M, Zahirian Moghadam T, Zamani M, Zamanian M, Zandian H, Zare F, Zastrozhin MS, Zastrozhina A, Zhang J, Zhang ZJ, Ziapour A, Zoladl M, Murray CJL, Fitzmaurice C, Bleyer A, Bhakta N. The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Oncol 2022; 23:27-52. [PMID: 34871551 PMCID: PMC8716339 DOI: 10.1016/s1470-2045(21)00581-7] [Citation(s) in RCA: 87] [Impact Index Per Article: 43.5] [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: 08/05/2021] [Revised: 09/28/2021] [Accepted: 09/29/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND In estimating the global burden of cancer, adolescents and young adults with cancer are often overlooked, despite being a distinct subgroup with unique epidemiology, clinical care needs, and societal impact. Comprehensive estimates of the global cancer burden in adolescents and young adults (aged 15-39 years) are lacking. To address this gap, we analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, with a focus on the outcome of disability-adjusted life-years (DALYs), to inform global cancer control measures in adolescents and young adults. METHODS Using the GBD 2019 methodology, international mortality data were collected from vital registration systems, verbal autopsies, and population-based cancer registry inputs modelled with mortality-to-incidence ratios (MIRs). Incidence was computed with mortality estimates and corresponding MIRs. Prevalence estimates were calculated using modelled survival and multiplied by disability weights to obtain years lived with disability (YLDs). Years of life lost (YLLs) were calculated as age-specific cancer deaths multiplied by the standard life expectancy at the age of death. The main outcome was DALYs (the sum of YLLs and YLDs). Estimates were presented globally and by Socio-demographic Index (SDI) quintiles (countries ranked and divided into five equal SDI groups), and all estimates were presented with corresponding 95% uncertainty intervals (UIs). For this analysis, we used the age range of 15-39 years to define adolescents and young adults. FINDINGS There were 1·19 million (95% UI 1·11-1·28) incident cancer cases and 396 000 (370 000-425 000) deaths due to cancer among people aged 15-39 years worldwide in 2019. The highest age-standardised incidence rates occurred in high SDI (59·6 [54·5-65·7] per 100 000 person-years) and high-middle SDI countries (53·2 [48·8-57·9] per 100 000 person-years), while the highest age-standardised mortality rates were in low-middle SDI (14·2 [12·9-15·6] per 100 000 person-years) and middle SDI (13·6 [12·6-14·8] per 100 000 person-years) countries. In 2019, adolescent and young adult cancers contributed 23·5 million (21·9-25·2) DALYs to the global burden of disease, of which 2·7% (1·9-3·6) came from YLDs and 97·3% (96·4-98·1) from YLLs. Cancer was the fourth leading cause of death and tenth leading cause of DALYs in adolescents and young adults globally. INTERPRETATION Adolescent and young adult cancers contributed substantially to the overall adolescent and young adult disease burden globally in 2019. These results provide new insights into the distribution and magnitude of the adolescent and young adult cancer burden around the world. With notable differences observed across SDI settings, these estimates can inform global and country-level cancer control efforts. FUNDING Bill & Melinda Gates Foundation, American Lebanese Syrian Associated Charities, St Baldrick's Foundation, and the National Cancer Institute.
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Blair C, Firtko A, Thomas P, Lin L, Miller M, Tran L, Edwards L, Bhaskar S, Parsons M, Cordato DJ. A Multicentre Study Comparing Cerebrovascular Disease Profiles in Pacific Islander and Caucasian Populations Presenting with Stroke and Transient Ischaemic Attack. Neuroepidemiology 2021; 56:25-31. [PMID: 34852344 DOI: 10.1159/000520058] [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: 07/29/2021] [Accepted: 10/05/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION In a multicentre study, we contrasted cerebrovascular disease profiles in Pacific Island (PI)-born patients (Indigenous Polynesian [IP] or Indo-Fijian [IF]) presenting with transient ischaemic attack (TIA), ischaemic stroke (IS) or intracerebral haemorrhage (ICH) with those of Caucasians (CSs). METHODS Using a retrospective case-control design, we compared PI-born patients with age- and gender-matched CS controls. Consecutive patients were admitted to 3 centres in South Western Sydney (July 2013-June 2020). Demographic and clinical data studied included vascular risk factors, stroke subtypes, and imaging characteristics. RESULTS There were 340 CS, 183 (27%) IP, and 157 (23%) IF patients; mean age 65 years; and 302 (44.4%) female. Of these, 587 and patients presented with TIA/IS and 93 (13.6%) had ICH. Both IP and IF patients were significantly more likely to present >24 h from symptom onset (odds ratios [ORs] vs. CS 1.87 and 2.23). IP patients more commonly had body mass indexes >30 (OR 1.94). Current smoking and excess alcohol intake were higher in CS. Hypertension, diabetes, and chronic kidney disease were significantly higher in both IP and IF groups in comparison to CS. IP patients had higher rates of AF and those with known AF were more commonly undertreated than both IF and CS patients (OR 2.24, p = 0.007). ICH was more common in IP patients (OR 2.32, p = 0.005), while more IF patients had intracranial arterial disease (OR 5.10, p < 0.001). DISCUSSION/CONCLUSION Distinct cerebrovascular disease profiles are identifiable in PI-born patients who present with TIA or stroke symptoms in Australia. These may be used in the future to direct targeted approaches to stroke prevention and care in culturally and linguistically diverse populations.
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Affiliation(s)
- Christopher Blair
- Sydney Brain Centre, Ingham Institute for Applied Medical Research, Sydney, New South Wales, Australia.,South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Angela Firtko
- South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.,Department of Neurology and Neurophysiology, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Peter Thomas
- South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.,Department of Neurology and Neurophysiology, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Longting Lin
- Sydney Brain Centre, Ingham Institute for Applied Medical Research, Sydney, New South Wales, Australia
| | - Megan Miller
- Sydney Brain Centre, Ingham Institute for Applied Medical Research, Sydney, New South Wales, Australia.,South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.,Department of Neurology and Neurophysiology, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Lisa Tran
- South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.,Department of Neurology and Neurophysiology, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Leon Edwards
- Sydney Brain Centre, Ingham Institute for Applied Medical Research, Sydney, New South Wales, Australia.,South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.,Department of Neurology and Neurophysiology, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Sonu Bhaskar
- South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.,Department of Neurology and Neurophysiology, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Mark Parsons
- Sydney Brain Centre, Ingham Institute for Applied Medical Research, Sydney, New South Wales, Australia.,South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.,Department of Neurology and Neurophysiology, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Dennis J Cordato
- Sydney Brain Centre, Ingham Institute for Applied Medical Research, Sydney, New South Wales, Australia.,South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.,Department of Neurology and Neurophysiology, Liverpool Hospital, Sydney, New South Wales, Australia
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Micah AE, Cogswell IE, Cunningham B, Ezoe S, Harle AC, Maddison ER, McCracken D, Nomura S, Simpson KE, Stutzman HN, Tsakalos G, Wallace LE, Zhao Y, Zende RR, Abbafati C, Abdelmasseh M, Abedi A, Abegaz KH, Abhilash ES, Abolhassani H, Abrigo MRM, Adhikari TB, Afzal S, Ahinkorah BO, Ahmadi S, Ahmed H, Ahmed MB, Ahmed Rashid T, Ajami M, Aji B, Akalu Y, Akunna CJ, Al Hamad H, Alam K, Alanezi FM, Alanzi TM, Alemayehu Y, Alhassan RK, Alinia C, Aljunid SM, Almustanyir SA, Alvis-Guzman N, Alvis-Zakzuk NJ, Amini S, Amini-Rarani M, Amu H, Ancuceanu R, Andrei CL, Andrei T, Angell B, Anjomshoa M, Antonio CAT, Antony CM, Aqeel M, Arabloo J, Arab-Zozani M, Aripov T, Arrigo A, Ashraf T, Atnafu DD, Ausloos M, Avila-Burgos L, Awan AT, Ayano G, Ayanore MA, Azari S, Azhar GS, Babalola TK, Bahrami MA, Baig AA, Banach M, Barati N, Bärnighausen TW, Barrow A, Basu S, Baune BT, Bayati M, Benzian H, Berman AE, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhaskar S, Bibi S, Bijani A, Bodolica V, Bragazzi NL, Braithwaite D, Breitborde NJK, Breusov AV, Briko NI, Busse R, Cahuana-Hurtado L, Callander EJ, Cámera LA, Castañeda-Orjuela CA, Catalá-López F, Charan J, Chatterjee S, Chattu SK, Chattu VK, Chen S, Cicero AFG, Dadras O, Dahlawi SMA, Dai X, Dalal K, Dandona L, Dandona R, Davitoiu DV, De Neve JW, de Sá-Junior AR, Denova-Gutiérrez E, Dhamnetiya D, Dharmaratne SD, Doshmangir L, Dube J, Ehsani-Chimeh E, El Sayed Zaki M, El Tantawi M, Eskandarieh S, Farzadfar F, Ferede TY, Fischer F, Foigt NA, Freitas A, Friedman SD, Fukumoto T, Fullman N, Gaal PA, Gad MM, Garcia-Gordillo MA, Garg T, Ghafourifard M, Ghashghaee A, Gholamian A, Gholamrezanezhad A, Ghozali G, Gilani SA, Glăvan IR, Glushkova EV, Goharinezhad S, Golechha M, Goli S, Guha A, Gupta VB, Gupta VK, Haakenstad A, Haider MR, Hailu A, Hamidi S, Hanif A, Harapan H, Hartono RK, Hasaballah AI, Hassan S, Hassanein MH, Hayat K, Hegazy MI, Heidari G, Hendrie D, Heredia-Pi I, Herteliu C, Hezam K, Holla R, Hossain SJ, Hosseinzadeh M, Hostiuc S, Huda TM, Hwang BF, Iavicoli I, Idrisov B, Ilesanmi OS, Irvani SSN, Islam SMS, Ismail NE, Isola G, Jahani MA, Jahanmehr N, Jakovljevic M, Janodia MD, Javaheri T, Jayapal SK, Jayawardena R, Jazayeri SB, Jha RP, Jonas JB, Joo T, Joukar F, Jürisson M, Kaambwa B, Kalhor R, Kanchan T, Kandel H, Karami Matin B, Karimi SE, Kassahun G, Kayode GA, Kazemi Karyani A, Keikavoosi-Arani L, Khader YS, Khajuria H, Khalilov R, Khammarnia M, Khan J, Khubchandani J, Kianipour N, Kim GR, Kim YJ, Kisa A, Kisa S, Kohler S, Kosen S, Koteeswaran R, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Kumar GA, Kusuma D, Lamnisos D, Lansingh VC, Larsson AO, Lasrado S, Le LKD, Lee SWH, Lee YY, Lim SS, Lobo SW, Lozano R, Magdy Abd El Razek H, Magdy Abd El Razek M, Mahdavi MM, Majeed A, Makki A, Maleki A, Malekzadeh R, Manda AL, Mansour-Ghanaei F, Mansournia MA, Marrugo Arnedo CA, Martinez-Valle A, Masoumi SZ, Maude RJ, McKee M, Medina-Solís CE, Menezes RG, Meretoja A, Meretoja TJ, Mesregah MK, Mestrovic T, Milevska Kostova N, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Mohajer B, Mohamed TA, Mohammadi M, Mohammadian-Hafshejani A, Mohammed S, Moitra M, Mokdad AH, Molokhia M, Moni MA, Moradi Y, Morze J, Mousavi SM, Mpundu-Kaambwa C, Muriithi MK, Muthupandian S, Nagarajan AJ, Naimzada MD, Nangia V, Naqvi AA, Narayana AI, Nascimento BR, Naveed M, Nayak BP, Nazari J, Ndejjo R, Negoi I, Neupane Kandel S, Nguyen TH, Nonvignon J, Noubiap JJ, Nwatah VE, Oancea B, Ojelabi FAO, Olagunju AT, Olakunde BO, Olgiati S, Olusanya JO, Onwujekwe OE, Otoiu A, Otstavnov N, Otstavnov SS, Owolabi MO, Padubidri JR, Palladino R, Panda-Jonas S, Park EC, Pashazadeh Kan F, Pawar S, Pazoki Toroudi H, Pereira DM, Perianayagam A, Pesudovs K, Piccinelli C, Postma MJ, Prada SI, Rabiee M, Rabiee N, Rahim F, Rahimi-Movaghar V, Rahman MHU, Rahman M, Rahmani AM, Ram U, Ranabhat CL, Ranasinghe P, Rao CR, Rathi P, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Reiner Jr RC, Renzaho AMN, Reshmi B, Riaz MA, Ripon RK, Saad AM, Sahraian MA, Sahu M, Salama JS, Salehi S, Samy AM, Sanabria J, Sanmarchi F, Santos JV, Santric-Milicevic MM, Sathian B, Savic M, Saxena D, Sayyah M, Schwendicke F, Senthilkumaran S, Sepanlou SG, Seylani A, Shahabi S, Shaikh MA, Sheikh A, Shetty A, Shetty PH, Shibuya K, Shrime MG, Shuja KH, Singh JA, Skryabin VY, Skryabina AA, Soltani S, Soofi M, Spurlock EE, Stefan SC, Szerencsés V, Szócska M, Tabarés-Seisdedos R, Taddele BW, Tefera YG, Thavamani A, Tobe-Gai R, Topor-Madry R, Tovani-Palone MR, Tran BX, Tudor Car L, Ullah A, Ullah S, Umar N, Undurraga EA, Valdez PR, Vasankari TJ, Villafañe JH, Violante FS, Vlassov V, Vo B, Vollmer S, Vos T, Vu GT, Vu LG, Wamai RG, Werdecker A, Woldekidan MA, Wubishet BL, Xu G, Yaya S, Yazdi-Feyzabadi V, Yiğit V, Yip P, Yirdaw BW, Yonemoto N, Younis MZ, Yu C, Yunusa I, Zahirian Moghadam T, Zandian H, Zastrozhin MS, Zastrozhina A, Zhang ZJ, Ziapour A, Zuniga YMH, Hay SI, Murray CJL, Dieleman JL. Tracking development assistance for health and for COVID-19: a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990-2050. Lancet 2021; 398:1317-1343. [PMID: 34562388 PMCID: PMC8457757 DOI: 10.1016/s0140-6736(21)01258-7] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [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: 01/22/2021] [Revised: 04/15/2021] [Accepted: 05/20/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND The rapid spread of COVID-19 renewed the focus on how health systems across the globe are financed, especially during public health emergencies. Development assistance is an important source of health financing in many low-income countries, yet little is known about how much of this funding was disbursed for COVID-19. We aimed to put development assistance for health for COVID-19 in the context of broader trends in global health financing, and to estimate total health spending from 1995 to 2050 and development assistance for COVID-19 in 2020. METHODS We estimated domestic health spending and development assistance for health to generate total health-sector spending estimates for 204 countries and territories. We leveraged data from the WHO Global Health Expenditure Database to produce estimates of domestic health spending. To generate estimates for development assistance for health, we relied on project-level disbursement data from the major international development agencies' online databases and annual financial statements and reports for information on income sources. To adjust our estimates for 2020 to include disbursements related to COVID-19, we extracted project data on commitments and disbursements from a broader set of databases (because not all of the data sources used to estimate the historical series extend to 2020), including the UN Office of Humanitarian Assistance Financial Tracking Service and the International Aid Transparency Initiative. We reported all the historic and future spending estimates in inflation-adjusted 2020 US$, 2020 US$ per capita, purchasing-power parity-adjusted US$ per capita, and as a proportion of gross domestic product. We used various models to generate future health spending to 2050. FINDINGS In 2019, health spending globally reached $8·8 trillion (95% uncertainty interval [UI] 8·7-8·8) or $1132 (1119-1143) per person. Spending on health varied within and across income groups and geographical regions. Of this total, $40·4 billion (0·5%, 95% UI 0·5-0·5) was development assistance for health provided to low-income and middle-income countries, which made up 24·6% (UI 24·0-25·1) of total spending in low-income countries. We estimate that $54·8 billion in development assistance for health was disbursed in 2020. Of this, $13·7 billion was targeted toward the COVID-19 health response. $12·3 billion was newly committed and $1·4 billion was repurposed from existing health projects. $3·1 billion (22·4%) of the funds focused on country-level coordination and $2·4 billion (17·9%) was for supply chain and logistics. Only $714·4 million (7·7%) of COVID-19 development assistance for health went to Latin America, despite this region reporting 34·3% of total recorded COVID-19 deaths in low-income or middle-income countries in 2020. Spending on health is expected to rise to $1519 (1448-1591) per person in 2050, although spending across countries is expected to remain varied. INTERPRETATION Global health spending is expected to continue to grow, but remain unequally distributed between countries. We estimate that development organisations substantially increased the amount of development assistance for health provided in 2020. Continued efforts are needed to raise sufficient resources to mitigate the pandemic for the most vulnerable, and to help curtail the pandemic for all. FUNDING Bill & Melinda Gates Foundation.
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Galles NC, Liu PY, Updike RL, Fullman N, Nguyen J, Rolfe S, Sbarra AN, Schipp MF, Marks A, Abady GG, Abbas KM, Abbasi SW, Abbastabar H, Abd-Allah F, Abdoli A, Abolhassani H, Abosetugn AE, Adabi M, Adamu AA, Adetokunboh OO, Adnani QES, Advani SM, Afzal S, Aghamir SMK, Ahinkorah BO, Ahmad S, Ahmad T, Ahmadi S, Ahmed H, Ahmed MB, Ahmed Rashid T, Ahmed Salih Y, Akalu Y, Aklilu A, Akunna CJ, Al Hamad H, Alahdab F, Albano L, Alemayehu Y, Alene KA, Al-Eyadhy A, Alhassan RK, Ali L, Aljunid SM, Almustanyir S, Altirkawi KA, Alvis-Guzman N, Amu H, Andrei CL, Andrei T, Ansar A, Ansari-Moghaddam A, Antonazzo IC, Antony B, Arabloo J, Arab-Zozani M, Artanti KD, Arulappan J, Awan AT, Awoke MA, Ayza MA, Azarian G, Azzam AY, B DB, Babar ZUD, Balakrishnan S, Banach M, Bante SA, Bärnighausen TW, Barqawi HJ, Barrow A, Bassat Q, Bayarmagnai N, Bejarano Ramirez DF, Bekuma TT, Belay HG, Belgaumi UI, Bhagavathula AS, Bhandari D, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bibi S, Bijani A, Biondi A, Boloor A, Braithwaite D, Buonsenso D, Butt ZA, Camargos P, Carreras G, Carvalho F, Castañeda-Orjuela CA, Chakinala RC, Charan J, Chatterjee S, Chattu SK, Chattu VK, Chowdhury FR, Christopher DJ, Chu DT, Chung SC, Cortesi PA, Costa VM, Couto RAS, Dadras O, Dagnew AB, Dagnew B, Dai X, Dandona L, Dandona R, De Neve JW, Derbew Molla M, Derseh BT, Desai R, Desta AA, Dhamnetiya D, Dhimal ML, Dhimal M, Dianatinasab M, Diaz D, Djalalinia S, Dorostkar F, Edem B, Edinur HA, Eftekharzadeh S, El Sayed I, El Sayed Zaki M, Elhadi M, El-Jaafary SI, Elsharkawy A, Enany S, Erkhembayar R, Esezobor CI, Eskandarieh S, Ezeonwumelu IJ, Ezzikouri S, Fares J, Faris PS, Feleke BE, Ferede TY, Fernandes E, Fernandes JC, Ferrara P, Filip I, Fischer F, Francis MR, Fukumoto T, Gad MM, Gaidhane S, Gallus S, Garg T, Geberemariyam BS, Gebre T, Gebregiorgis BG, Gebremedhin KB, Gebremichael B, Gessner BD, Ghadiri K, Ghafourifard M, Ghashghaee A, Gilani SA, Glăvan IR, Glushkova EV, Golechha M, Gonfa KB, Gopalani SV, Goudarzi H, Gubari MIM, Guo Y, Gupta VB, Gupta VK, Gutiérrez RA, Haeuser E, Halwani R, Hamidi S, Hanif A, Haque S, Harapan H, Hargono A, Hashi A, Hassan S, Hassanein MH, Hassanipour S, Hassankhani H, Hay SI, Hayat K, Hegazy MI, Heidari G, Hezam K, Holla R, Hoque ME, Hosseini M, Hosseinzadeh M, Hostiuc M, Househ M, Hsieh VCR, Huang J, Humayun A, Hussain R, Hussein NR, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Inamdar S, Iqbal U, Irham LM, Irvani SSN, Islam SMS, Ismail NE, Itumalla R, Jha RP, Joukar F, Kabir A, Kabir Z, Kalhor R, Kamal Z, Kamande SM, Kandel H, Karch A, Kassahun G, Kassebaum NJ, Katoto PDMC, Kelkay B, Kengne AP, Khader YS, Khajuria H, Khalil IA, Khan EA, Khan G, Khan J, Khan M, Khan MAB, Khang YH, Khoja AT, Khubchandani J, Kim GR, Kim MS, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Korshunov VA, Kosen S, Kuate Defo B, Kulkarni V, Kumar A, Kumar GA, Kumar N, Kwarteng A, La Vecchia C, Lami FH, Landires I, Lasrado S, Lassi ZS, Lee H, Lee YY, Levi M, Lewycka S, Li S, Liu X, Lobo SW, Lopukhov PD, Lozano R, Lutzky Saute R, Magdy Abd El Razek M, Makki A, Malik AA, Mansour-Ghanaei F, Mansournia MA, Mantovani LG, Martins-Melo FR, Matthews PC, Medina JRC, Mendoza W, Menezes RG, Mengesha EW, Meretoja TJ, Mersha AG, Mesregah MK, Mestrovic T, Miazgowski B, Milne GJ, Mirica A, Mirrakhimov EM, Mirzaei HR, Misra S, Mithra P, Moghadaszadeh M, Mohamed TA, Mohammad KA, Mohammad Y, Mohammadi M, Mohammadian-Hafshejani A, Mohammed A, Mohammed S, Mohapatra A, Mokdad AH, Molokhia M, Monasta L, Moni MA, Montasir AA, Moore CE, Moradi G, Moradzadeh R, Moraga P, Mueller UO, Munro SB, Naghavi M, Naimzada MD, Naveed M, Nayak BP, Negoi I, Neupane Kandel S, Nguyen TH, Nikbakhsh R, Ningrum DNA, Nixon MR, Nnaji CA, Noubiap JJ, Nuñez-Samudio V, Nwatah VE, Oancea B, Ochir C, Ogbo FA, Olagunju AT, Olakunde BO, Onwujekwe OE, Otstavnov N, Otstavnov SS, Owolabi MO, Padubidri JR, Pakshir K, Park EC, Pashazadeh Kan F, Pathak M, Paudel R, Pawar S, Pereira J, Peres MFP, Perianayagam A, Pinheiro M, Pirestani M, Podder V, Polibin RV, Pollok RCG, Postma MJ, Pottoo FH, Rabiee M, Rabiee N, Radfar A, Rafiei A, Rahimi-Movaghar V, Rahman M, Rahmani AM, Rahmawaty S, Rajesh A, Ramshaw RE, Ranasinghe P, Rao CR, Rao SJ, Rathi P, Rawaf DL, Rawaf S, Renzaho AMN, Rezaei N, Rezai MS, Rios-Blancas M, Rogowski ELB, Ronfani L, Rwegerera GM, Saad AM, Sabour S, Saddik B, Saeb MR, Saeed U, Sahebkar A, Sahraian MA, Salam N, Salimzadeh H, Samaei M, Samy AM, Sanabria J, Sanmarchi F, Santric-Milicevic MM, Sartorius B, Sarveazad A, Sathian B, Sawhney M, Saxena D, Saxena S, Seidu AA, Seylani A, Shaikh MA, Shamsizadeh M, Shetty PH, Shigematsu M, Shin JI, Sidemo NB, Singh A, Singh JA, Sinha S, Skryabin VY, Skryabina AA, Soheili A, Tadesse EG, Tamiru AT, Tan KK, Tekalegn Y, Temsah MH, Thakur B, Thapar R, Thavamani A, Tobe-Gai R, Tohidinik HR, Tovani-Palone MR, Traini E, Tran BX, Tripathi M, Tsegaye B, Tsegaye GW, Ullah A, Ullah S, Ullah S, Unim B, Vacante M, Velazquez DZ, Vo B, Vollmer S, Vu GT, Vu LG, Waheed Y, Winkler AS, Wiysonge CS, Yiğit V, Yirdaw BW, Yon DK, Yonemoto N, Yu C, Yuce D, Yunusa I, Zamani M, Zamanian M, Zewdie DT, Zhang ZJ, Zhong C, Zumla A, Murray CJL, Lim SS, Mosser JF. Measuring routine childhood vaccination coverage in 204 countries and territories, 1980-2019: a systematic analysis for the Global Burden of Disease Study 2020, Release 1. Lancet 2021; 398:503-521. [PMID: 34273291 PMCID: PMC8358924 DOI: 10.1016/s0140-6736(21)00984-3] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [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: 02/26/2021] [Revised: 04/16/2021] [Accepted: 04/22/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Measuring routine childhood vaccination is crucial to inform global vaccine policies and programme implementation, and to track progress towards targets set by the Global Vaccine Action Plan (GVAP) and Immunization Agenda 2030. Robust estimates of routine vaccine coverage are needed to identify past successes and persistent vulnerabilities. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020, Release 1, we did a systematic analysis of global, regional, and national vaccine coverage trends using a statistical framework, by vaccine and over time. METHODS For this analysis we collated 55 326 country-specific, cohort-specific, year-specific, vaccine-specific, and dose-specific observations of routine childhood vaccination coverage between 1980 and 2019. Using spatiotemporal Gaussian process regression, we produced location-specific and year-specific estimates of 11 routine childhood vaccine coverage indicators for 204 countries and territories from 1980 to 2019, adjusting for biases in country-reported data and reflecting reported stockouts and supply disruptions. We analysed global and regional trends in coverage and numbers of zero-dose children (defined as those who never received a diphtheria-tetanus-pertussis [DTP] vaccine dose), progress towards GVAP targets, and the relationship between vaccine coverage and sociodemographic development. FINDINGS By 2019, global coverage of third-dose DTP (DTP3; 81·6% [95% uncertainty interval 80·4-82·7]) more than doubled from levels estimated in 1980 (39·9% [37·5-42·1]), as did global coverage of the first-dose measles-containing vaccine (MCV1; from 38·5% [35·4-41·3] in 1980 to 83·6% [82·3-84·8] in 2019). Third-dose polio vaccine (Pol3) coverage also increased, from 42·6% (41·4-44·1) in 1980 to 79·8% (78·4-81·1) in 2019, and global coverage of newer vaccines increased rapidly between 2000 and 2019. The global number of zero-dose children fell by nearly 75% between 1980 and 2019, from 56·8 million (52·6-60·9) to 14·5 million (13·4-15·9). However, over the past decade, global vaccine coverage broadly plateaued; 94 countries and territories recorded decreasing DTP3 coverage since 2010. Only 11 countries and territories were estimated to have reached the national GVAP target of at least 90% coverage for all assessed vaccines in 2019. INTERPRETATION After achieving large gains in childhood vaccine coverage worldwide, in much of the world this progress was stalled or reversed from 2010 to 2019. These findings underscore the importance of revisiting routine immunisation strategies and programmatic approaches, recentring service delivery around equity and underserved populations. Strengthening vaccine data and monitoring systems is crucial to these pursuits, now and through to 2030, to ensure that all children have access to, and can benefit from, lifesaving vaccines. FUNDING Bill & Melinda Gates Foundation.
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Chowdhury SZ, Baskar PS, Bhaskar S. Effect of prehospital workflow optimization on treatment delays and clinical outcomes in acute ischemic stroke: A systematic review and meta-analysis. Acad Emerg Med 2021; 28:781-801. [PMID: 33387368 DOI: 10.1111/acem.14204] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [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: 10/01/2020] [Revised: 12/21/2020] [Accepted: 12/24/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND The prehospital phase is critical in ensuring that stroke treatment is delivered quickly and is a major source of time delay. This study sought to identify and examine prehospital stroke workflow optimizations (PSWOs) and their impact on improving health systems, reperfusion rates, treatment delays, and clinical outcomes. METHODS The authors conducted a systematic literature review and meta-analysis by extracting data from several research databases (PubMed, Cochrane, Medline, and Embase) published since 2005. We used appropriate key search terms to identify clinical studies concerning prehospital workflow optimization, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. RESULTS The authors identified 27 articles that looked at the impact of prehospital workflow optimizations on time and treatment parameters; 26 were included in the meta-analysis. The PSWO were subgrouped into three categories: improved intravenous thrombolysis (IVT) triage, large-vessel occlusion (LVO) bypass, and mobile stroke unit (MSU). The salient findings are as follows: improved IVT triage led to significantly improved rates of IVT (relative risk [RR] = 1.80, 95% confidence interval [CI] = 1.18 to 2.75); however, MSU did not (RR = 1.22, 95% CI = 0.98 to 1.52). Improved IVT triage (standard mean difference [SMD] = -0.82, 95% CI = -1.32 to -0.32), LVO bypass (SMD = -0.80, 95% CI = -1.13 to -0.47), and MSU (SMD = -0.87, 95% CI = -1.57 to -0.17) were found to significantly reduce door-to-needle time for IVT. MSU was found to significantly reduce call-to-needle (SMD = -1.41, 95% CI = -1.94 to -0.88) and onset-to-needle (SMD = -1.15, 95% CI = -1.74 to -0.56) times for IVT. MSU additionally demonstrated significant reduction in door-to-perfusion (SMD = -0.72, 95% CI = -1.32 to -0.12) as well as call-to-perfusion (SMD = -0.73, 95% CI = -1.08 to -0.38) times for EVT. Finally, PSWO did not demonstrate significant improvements in rates of good functional outcome (RR = 1.04, 95% CI = 0.97 to 1.12) or mortality at 90 days (RR = 1.00, 95% CI = 0.76 to 1.31). CONCLUSIONS This systematic review and meta-analysis found that PSWO significantly improves several time metrics related to stroke treatment leading to improvement in IVT reperfusion rates. Thus, the implementation of these measures in stroke networks is a promising avenue to improve an often-neglected aspect of the stroke response. However, the limited available data suggest functional outcomes and mortality are not significantly improved by PSWO; hence, further studies and improvement strategies vis-à-vis PSWOs are warranted.
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Affiliation(s)
- Seemub Zaman Chowdhury
- Neurovascular Imaging Laboratory Ingham Institute for Applied Medical ResearchClinical Sciences Stream Sydney New South Wales Australia
- University of New South Wales (UNSWSouth Western Sydney Clinical SchoolUNSW Medicine Sydney New South Wales Australia
| | - Prithvi Santana Baskar
- Neurovascular Imaging Laboratory Ingham Institute for Applied Medical ResearchClinical Sciences Stream Sydney New South Wales Australia
- University of New South Wales (UNSWSouth Western Sydney Clinical SchoolUNSW Medicine Sydney New South Wales Australia
| | - Sonu Bhaskar
- Neurovascular Imaging Laboratory Ingham Institute for Applied Medical ResearchClinical Sciences Stream Sydney New South Wales Australia
- University of New South Wales (UNSWSouth Western Sydney Clinical SchoolUNSW Medicine Sydney New South Wales Australia
- Department of Neurology & Neurophysiology Liverpool Hospital & South West Sydney Local Health District (SWSLHD Sydney New South Wales Australia
- Stroke & Neurology Research Group Ingham Institute for Applied Medical Research Sydney New South Wales Australia
- NSW Brain Clot BankNSW Health Statewide Biobank and NSW Health Pathology Sydney New South Wales Australia
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Mishra J, Poonia S, Kumar R, Dubey R, Kumar V, Mondal S, Dwivedi S, Rao K, Kumar R, Tamta M, Verma M, Saurabh K, Kumar S, Bhatt B, Malik R, McDonald A, Bhaskar S. An impact of agronomic practices of sustainable rice-wheat crop intensification on food security, economic adaptability, and environmental mitigation across eastern Indo-Gangetic Plains. Field Crops Res 2021; 267:108164. [PMID: 34140753 PMCID: PMC8146726 DOI: 10.1016/j.fcr.2021.108164] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 04/24/2021] [Accepted: 04/27/2021] [Indexed: 05/05/2023]
Abstract
In the eastern Indo-Gangetic Plains (EIGP), conventional rice-wheat system has led to a decline in productivity, input-use efficiency, and profitability. To address these, a four-year field study was conducted to evaluate the performance of tillage and crop establishment (TCE) methods in rice-wheat-greengram rotation. The treatments included: 1) random puddled transplanted rice (RPTR) - conventional-till broadcast wheat (BCW) - zero-till greengram (ZTG); 2) line PTR (LPTR) - conventional-till drill sown wheat (CTW) - ZTG; 3) machine transplanted rice in puddled soil (CTMTR) - zero tillage wheat (ZTW) - ZTG; 4) machine transplanted rice in zero-till wet soil (ZTMTR) - ZTW - ZTG; 5) system of rice intensification (SRI) - system of wheat intensification (SWI) - ZTG; 6) direct-seeded rice (DSR) - ZTW - ZTG; and 7) zero-till DSR - ZTW - ZTG. During the initial two years, conventional rice system (PTR) recorded a 16.2 % higher rice grain yield than DSR system. Whereas in the fourth year, the rice yields under DSR and PTR were comparable. As compared to SRI/SWI, the average wheat yield in ZT system was significantly high, whereas in rice, SRI/SWI system was comparable with CT system. ZTW after non-puddled rice was at par to CTW after PTR. The ZT wheat produced 4.6 % more yield than CT system. DSR production system consumed 6.8 % less water compared to transplanted system. On the system basis, 10.8 % higher net returns were recorded with CA-based system compared to conventional system. The system energy productivity under CA-based production system was 14-36 % higher than PTR-based systems. CA-based system also led to 8-10 % lower global warming potential (GWP) than conventional methods. The current study indicated that as compared to conventional system, a significant gain in productivity, profitability and energy-use efficiency, and reduction in the environmental mitigation are possible with emerging alternative TCE methods. Long-term expansion and further refinement of these technologies in local areas need to be explored for the second green revolution.
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Affiliation(s)
- J.S. Mishra
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - S.P. Poonia
- Cereal Systems Initiative for South Asia (CSISA)-CIMMYT, Patna, India
| | - Rakesh Kumar
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - Rachana Dubey
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - Virender Kumar
- International Rice Research Institute, Los Banos, Philippines
| | - Surajit Mondal
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - S.K. Dwivedi
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - K.K. Rao
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - Rahul Kumar
- Birsa Agricultural University, Ranchi, Jharkhand, India
| | - Manisha Tamta
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - Mausam Verma
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - Kirti Saurabh
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - Santosh Kumar
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - B.P. Bhatt
- ICAR Research Complex for Eastern Region, Patna, Bihar, India
| | - R.K. Malik
- Cereal Systems Initiative for South Asia (CSISA)-CIMMYT, Patna, India
| | - Andrew McDonald
- Soil and Crop Sciences Section, School of Integrative Plant Sciences, Cornell University, Ithaca, NY, USA
| | - S. Bhaskar
- Indian Council of Agricultural Research, New Delhi, India
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Katyal A, Bhaskar S. CTP-guided reperfusion therapy in acute ischemic stroke: a meta-analysis. Acta Neurol Scand 2021; 143:355-366. [PMID: 33188539 DOI: 10.1111/ane.13374] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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: 09/28/2020] [Revised: 11/08/2020] [Accepted: 11/09/2020] [Indexed: 12/29/2022]
Abstract
BACKGROUND Computed tomography perfusion (CTP) imaging could be useful in guiding reperfusion therapy or patient selection in acute ischemic stroke (AIS) patients. The aim of the current study was to determine the efficacy of the CTP-guided reperfusion therapy in AIS by performing a systematic review and meta-analysis. METHODS Medline/PubMed, Embase, and the Cochrane library were searched using the terms: "CT perfusion", "acute stroke" and "reperfusion therapy". The following studies were included: (a) studies reporting original data; (b) patients aged 18 years or above; (c) patients diagnosed with anterior circulation AIS; and (d) studies with good methodological design. RESULTS Twenty-two studies were finally included in the metanalysis with a total of 5, 687 patients. CTP-guided reperfusion therapy was associated with increased odds of good functional outcome without significant difference in safety profile. CONCLUSIONS CTP-guided reperfusion therapy improved functional outcomes in AIS, with increased benefits to patients treated with endovascular thrombectomy.
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Affiliation(s)
- Anubhav Katyal
- Neurovascular Imaging Laboratory Ingham Institute for Applied Medical Research Clinical Sciences Stream Sydney NSW Australia
- University of New South Wales (UNSW South Western Sydney Clinical School Sydney NSW Australia
| | - Sonu Bhaskar
- Neurovascular Imaging Laboratory Ingham Institute for Applied Medical Research Clinical Sciences Stream Sydney NSW Australia
- University of New South Wales (UNSW South Western Sydney Clinical School Sydney NSW Australia
- Department of Neurology & Neurophysiology Liverpool Hospital & South Western Sydney Local Health District Sydney NSW Australia
- Stroke & Neurology Research Group Ingham Institute for Applied Medical Research Sydney NSW Australia
- NSW Brain Clot Bank NSW Health Statewide Biobank and NSW Health Pathology Sydney NSW Australia
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Bhaskar S, Nurtazina A, Mittoo S, Banach M, Weissert R. Editorial: Telemedicine During and Beyond COVID-19. Front Public Health 2021; 9:662617. [PMID: 33796502 PMCID: PMC8007781 DOI: 10.3389/fpubh.2021.662617] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [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: 02/01/2021] [Accepted: 02/24/2021] [Indexed: 12/21/2022] Open
Affiliation(s)
- Sonu Bhaskar
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Global, Sydney, NSW, Australia.,Department of Neurology, Liverpool Hospital and South Western Sydney Local Health District, Sydney, NSW, Australia.,Neurovascular Imaging Laboratory & NSW Brain Clot Bank, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia
| | - Alma Nurtazina
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Global, Sydney, NSW, Australia.,Department of Epidemiology and Biostatistics, Semey Medical University, Semey, Kazakhstan
| | - Shikha Mittoo
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Global, Sydney, NSW, Australia.,Department of Rheumatology, University Health Network and The University of Toronto, Toronto, ON, Canada
| | - Maciej Banach
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Global, Sydney, NSW, Australia.,Polish Mother's Memorial Hospital Research Institute, Lodz, Poland.,Cardiovascular Research Centre, University of Zielona Góra, Zielona Gora, Poland.,Department of Hypertension, Medical University of Lodz, Lodz, Poland
| | - Robert Weissert
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Global, Sydney, NSW, Australia.,Department of Neurology, University of Regensburg, Regensburg, Germany
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Santana Baskar P, Cordato D, Wardman D, Bhaskar S. In-hospital acute stroke workflow in acute stroke - Systems-based approaches. Acta Neurol Scand 2021; 143:111-120. [PMID: 32882056 DOI: 10.1111/ane.13343] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [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: 04/21/2020] [Revised: 07/20/2020] [Accepted: 08/27/2020] [Indexed: 12/21/2022]
Abstract
Clinical outcomes of acute ischaemic stroke patients have significantly improved with the advent of reperfusion therapy. However, time continues to be a critical factor. Reducing treatment delays by improving workflows can improve the efficacy of acute reperfusion therapy. Systems-based approaches have improved in-hospital temporal parameters, maximizing the utility of reperfusion therapies and improving clinical benefit to patients. However, studies aimed at optimizing and hence reducing treatment delays in emergency department (ED) settings are limited. The aim of this article is to discuss existing systems-based approaches to optimize ED acute stroke workflows and its value in reducing treatment delays and identify gaps in existing workflows that need optimization. Identifying gaps in acute stroke workflow, variations in processes and challenges in implementation, in the in-hospital settings, is essential for systems-based interventions to be effective in delivering improved outcomes for patients with acute ischaemic stroke.
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Affiliation(s)
- Prithvi Santana Baskar
- South Western Sydney Clinical School University of New South Wales (UNSW) Sydney NSW Australia
- Neurovascular Imaging Laboratory Ingham Institute for Applied Medical Research, Clinical Sciences Stream Sydney NSW Australia
- Thrombolysis and Endovascular WorkFLOw Network (TEFLON) Sydney NSW Australia
| | - Dennis Cordato
- South Western Sydney Clinical School University of New South Wales (UNSW) Sydney NSW Australia
- Thrombolysis and Endovascular WorkFLOw Network (TEFLON) Sydney NSW Australia
- Department of Neurology and Neurophysiology Liverpool Hospital and South West Sydney Local Health District (SWSLHD) Sydney NSW Australia
- Stroke and Neurology Research Group Ingham Institute for Applied Medical Research Sydney NSW Australia
| | - Daniel Wardman
- South Western Sydney Clinical School University of New South Wales (UNSW) Sydney NSW Australia
- Thrombolysis and Endovascular WorkFLOw Network (TEFLON) Sydney NSW Australia
- Department of Neurology and Neurophysiology Liverpool Hospital and South West Sydney Local Health District (SWSLHD) Sydney NSW Australia
- Stroke and Neurology Research Group Ingham Institute for Applied Medical Research Sydney NSW Australia
| | - Sonu Bhaskar
- South Western Sydney Clinical School University of New South Wales (UNSW) Sydney NSW Australia
- Neurovascular Imaging Laboratory Ingham Institute for Applied Medical Research, Clinical Sciences Stream Sydney NSW Australia
- Thrombolysis and Endovascular WorkFLOw Network (TEFLON) Sydney NSW Australia
- Department of Neurology and Neurophysiology Liverpool Hospital and South West Sydney Local Health District (SWSLHD) Sydney NSW Australia
- Stroke and Neurology Research Group Ingham Institute for Applied Medical Research Sydney NSW Australia
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Bhaskar S, Rastogi A, Menon KV, Kunheri B, Balakrishnan S, Howick J. Call for Action to Address Equity and Justice Divide During COVID-19. Front Psychiatry 2020; 11:559905. [PMID: 33343410 PMCID: PMC7744756 DOI: 10.3389/fpsyt.2020.559905] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 11/13/2020] [Indexed: 12/29/2022] Open
Abstract
The coronavirus 2019 disease (COVID-19) is deepening the inequity and injustice among the vulnerable communities. The current study aims to present an overview of the impact of COVID-19 on equity and social justice with a focus on vulnerable communities. Vulnerable communities include, but not limited to, healthcare workers, those from lower socioeconomic backgrounds, ethnic or minority groups, immigrants or refugees, justice-involved populations, and people suffering from chronic diseases or mental illness. The implications of COVID-19 on these communities and systemic disparities beyond the current pandemic are also discussed. People from vulnerable communities' experience disproportionately adverse impacts of COVID-19. COVID-19 has exacerbated systemic disparities and its long-term negative impact on these populations foretell an impending crisis that could prevail beyond the COVID-19 era. It is onerous that systemic issues be addressed and efforts to build inclusive and sustainable societies be pursued to ensure the provision of universal healthcare and justice for all. Without these reinforcements, we would not only compromise the vulnerable communities but also severely limit our preparedness and response to a future pandemic.
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Affiliation(s)
- Sonu Bhaskar
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Health Equity and Justice Study Group, Sydney, NSW, Australia
- Department of Neurology, Liverpool Hospital and South Western Sydney Local Health District, Sydney, NSW, Australia
- Neurovascular Imaging Laboratory & NSW Brain Clot Bank, Ingham Institute for Applied Medical Research, The University of New South Wales, Sydney, NSW, Australia
| | - Aarushi Rastogi
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Health Equity and Justice Study Group, Sydney, NSW, Australia
- South West Sydney Clinical School, The University of New South Wales Sydney, Sydney, NSW, Australia
| | - Koravangattu Valsraj Menon
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Health Equity and Justice Study Group, Sydney, NSW, Australia
- Department of Psychiatry, South London and Maudsley NHS Foundation Trust, Kings Health Partners, London, United Kingdom
- Manasvi, Kochi, India
| | - Beena Kunheri
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Health Equity and Justice Study Group, Sydney, NSW, Australia
- Department of Radiation Oncology, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi, India
| | - Sindhu Balakrishnan
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Health Equity and Justice Study Group, Sydney, NSW, Australia
- Department of Anaesthesia and Critical Care, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi, India
| | - Jeremy Howick
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Health Equity and Justice Study Group, Sydney, NSW, Australia
- Faculty of Philosophy and Oxford Empathy Programme, University of Oxford, Oxford, United Kingdom
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Sharma D, Bhaskar S. Addressing the Covid-19 Burden on Medical Education and Training: The Role of Telemedicine and Tele-Education During and Beyond the Pandemic. Front Public Health 2020; 8:589669. [PMID: 33330333 PMCID: PMC7728659 DOI: 10.3389/fpubh.2020.589669] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 11/06/2020] [Indexed: 12/22/2022] Open
Abstract
Medical students are the future of sustainable health systems that are severely under pressure during COVID-19. The disruption in medical education and training has adversely impacted traditional medical education and medical students and is likely to have long-term implications beyond COVID-19. In this article, we present a comprehensive analysis of the existing structural and systemic challenges applicable to medical students and teaching/training programs and the impact of COVID-19 on medical students and education. Use of technologies such as telemedicine or remote education platforms can minimize increased mental health risks to this population. An overview of challenges during and beyond the COVID-19 pandemic are also discussed, and targeted recommendations to address acute and systemic issues in medical education and training are presented. During the transition from conventional in-person or classroom teaching to tele-delivery of educational programs, medical students have to navigate various social, economic and cultural factors which interfere with their personal and academic lives. This is especially relevant for those from vulnerable, underprivileged or minority backgrounds. Students from vulnerable backgrounds are influenced by environmental factors such as unemployment of themselves and family members, lack of or inequity in provision and access to educational technologies and remote delivery-platforms, and increased levels of mental health stressors due to prolonged isolation and self-quarantine measures. Technologies for remote education and training delivery as well as sustenance and increased delivery of general well-being and mental health services to medical students, especially to those at high-risk, are pivotal to our response to COVID-19 and beyond.
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Affiliation(s)
- Divyansh Sharma
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Global, Sydney, NSW, Australia
- Neurovascular Imaging Laboratory, Clinical Sciences Stream, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Sonu Bhaskar
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Global, Sydney, NSW, Australia
- Neurovascular Imaging Laboratory, Clinical Sciences Stream, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia
- Department of Neurology and Neurophysiology, Liverpool Hospital and South West Sydney Local Health District (SWSLHD), Sydney, NSW, Australia
- NSW Brain Clot Bank, NSW Health Statewide Biobank and NSW Health Pathology, Sydney, NSW, Australia
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Bhaskar S, Tan J, Bogers MLAM, Minssen T, Badaruddin H, Israeli-Korn S, Chesbrough H. At the Epicenter of COVID-19-the Tragic Failure of the Global Supply Chain for Medical Supplies. Front Public Health 2020; 8:562882. [PMID: 33335876 PMCID: PMC7737425 DOI: 10.3389/fpubh.2020.562882] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [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: 06/22/2020] [Accepted: 11/02/2020] [Indexed: 11/13/2022] Open
Abstract
The tragic failure of the global supply chain in the face of the current coronavirus outbreak has caused acute shortages of essential frontline medical devices and personal protective equipment, crushing fear among frontline health workers and causing fundamental concerns about the sustainability of the health system. Much more coordination, integration, and management of global supply chains will be needed to mitigate the impact of the pandemics. This article describes the pressing need to revisit the governance and resilience of the supply chains that amplified the crisis at pandemic scale. We propose a model that profiles critical stockpiles and improves production efficiency through new technologies such as advanced analytics and blockchain. A new governance system that supports intervention by public-health authorities during critical emergencies is central to our recommendation, both in the face of the current crisis and to be better prepared for potential future crises. These reinforcements offer the potential to minimize the compromise of our healthcare workers and health systems due to infection exposure and build capacity toward preparedness and action for a future outbreak.
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Affiliation(s)
- Sonu Bhaskar
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Innovation & Supply Chain Pandemic REPROGRAM Study Group, Sydney, NSW, Australia.,Department of Neurology & Neurophysiology, Liverpool Hospital and South Western Sydney Local Health District, Liverpool, NSW, Australia.,Neurovascular Imaging Laboratory, Clinical Sciences Stream and NSW Brain Clot Bank, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia.,UNSW Medicine, South Western Sydney Clinical School, The University of New South Wales, Sydney, NSW, Australia
| | - Jeremy Tan
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Innovation & Supply Chain Pandemic REPROGRAM Study Group, Sydney, NSW, Australia.,UNSW Medicine, South Western Sydney Clinical School, The University of New South Wales, Sydney, NSW, Australia
| | - Marcel L A M Bogers
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Innovation & Supply Chain Pandemic REPROGRAM Study Group, Sydney, NSW, Australia.,Innovation, Technology Entrepreneurship and Marketing (ITEM) Group, Eindhoven University of Technology, Eindhoven, Netherlands.,Department of Food and Resource Economics, University of Copenhagen, Copenhagen, Denmark.,Garwood Center for Corporate Innovation, University of California, Berkeley, Berkeley, CA, United States
| | - Timo Minssen
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Innovation & Supply Chain Pandemic REPROGRAM Study Group, Sydney, NSW, Australia.,Center for Advanced Studies in Biomedical Innovation Law, University of Copenhagen, Copenhagen, Denmark.,Faculty of Law, Lund University, Lund, Sweden
| | - Hishamuddin Badaruddin
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Innovation & Supply Chain Pandemic REPROGRAM Study Group, Sydney, NSW, Australia.,College of Health and Human Development, Penn State University, State College, PA, United States
| | - Simon Israeli-Korn
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Innovation & Supply Chain Pandemic REPROGRAM Study Group, Sydney, NSW, Australia.,Department of Neurology, Movement Disorders Institute, Sheba Medical Center, Ramat Gan, Israel.,Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Henry Chesbrough
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Innovation & Supply Chain Pandemic REPROGRAM Study Group, Sydney, NSW, Australia.,Garwood Center for Corporate Innovation, University of California, Berkeley, Berkeley, CA, United States.,Maire Tecnimont Professor of Open Innovation, Luiss University, Rome, Italy
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Bhaskar S, Bradley S, Sakhamuri S, Moguilner S, Chattu VK, Pandya S, Schroeder S, Ray D, Banach M. Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era. Front Public Health 2020; 8:556789. [PMID: 33224912 PMCID: PMC7667043 DOI: 10.3389/fpubh.2020.556789] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [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: 04/30/2020] [Accepted: 10/07/2020] [Indexed: 12/17/2022] Open
Abstract
Technological innovations such as artificial intelligence and robotics may be of potential use in telemedicine and in building capacity to respond to future pandemics beyond the current COVID-19 era. Our international consortium of interdisciplinary experts in clinical medicine, health policy, and telemedicine have identified gaps in uptake and implementation of telemedicine or telehealth across geographics and medical specialties. This paper discusses various artificial intelligence and robotics-assisted telemedicine or telehealth applications during COVID-19 and presents an alternative artificial intelligence assisted telemedicine framework to accelerate the rapid deployment of telemedicine and improve access to quality and cost-effective healthcare. We postulate that the artificial intelligence assisted telemedicine framework would be indispensable in creating futuristic and resilient health systems that can support communities amidst pandemics.
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Affiliation(s)
- Sonu Bhaskar
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- Neurovascular Imaging Laboratory & NSW Brain Clot Bank, Department of Neurology, Liverpool Hospital and South Western Sydney Local Health District, Ingham Institute for Applied Medical Research, The University of New South Wales, Sydney, NSW, Australia
| | - Sian Bradley
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- The University of New South Wales (UNSW) Medicine Sydney, South West Sydney Clinical School, Sydney, NSW, Australia
| | - Sateesh Sakhamuri
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- The University of the West Indies, St. Augustine, Trinidad and Tobago
| | - Sebastian Moguilner
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Vijay Kumar Chattu
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Shawna Pandya
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- Alberta Health Services and Project PoSSUM, University of Alberta, Edmonton, AB, Canada
| | - Starr Schroeder
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- Penn Medicine Lancaster General Hospital and Project PoSSUM, Lancaster, PA, United States
| | - Daniel Ray
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- Farr Institute of Health Informatics, University College London (UCL) & NHS Foundation Trust, Birmingham, United Kingdom
| | - Maciej Banach
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- Polish Mother's Memorial Hospital Research Institute (PMMHRI) in Lodz, Cardiovascular Research Centre, University of Zielona Gora, Zielona Gora, Poland
- Department of Hypertension, Medical University of Lodz, Łódź, Poland
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Bhaskar S, Bradley S, Chattu VK, Adisesh A, Nurtazina A, Kyrykbayeva S, Sakhamuri S, Yaya S, Sunil T, Thomas P, Mucci V, Moguilner S, Israel-Korn S, Alacapa J, Mishra A, Pandya S, Schroeder S, Atreja A, Banach M, Ray D. Telemedicine Across the Globe-Position Paper From the COVID-19 Pandemic Health System Resilience PROGRAM (REPROGRAM) International Consortium (Part 1). Front Public Health 2020; 8:556720. [PMID: 33178656 PMCID: PMC7596287 DOI: 10.3389/fpubh.2020.556720] [Citation(s) in RCA: 114] [Impact Index Per Article: 28.5] [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: 04/29/2020] [Accepted: 09/21/2020] [Indexed: 01/03/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) has accelerated the adoption of telemedicine globally. The current consortium critically examines the telemedicine frameworks, identifies gaps in its implementation and investigates the changes in telemedicine framework/s during COVID-19 across the globe. Streamlining of global public health preparedness framework that is interoperable and allow for collaboration and sharing of resources, in which telemedicine is an integral part of the public health response during outbreaks such as COVID-19, should be pursued. With adequate reinforcement, telemedicine has the potential to act as the "safety-net" of our public health response to an outbreak. Our focus on telemedicine must shift to the developing and under-developing nations, which carry a disproportionate burden of vulnerable communities who are at risk due to COVID-19.
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Affiliation(s)
- Sonu Bhaskar
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- Department of Neurology, Liverpool Hospital and South Western Sydney Local Health District, Sydney, NSW, Australia
- Neurovascular Imaging Laboratory & NSW Brain Clot Bank, Ingham Institute for Applied Medical Research, The University of New South Wales, UNSW Medicine, Sydney, NSW, Australia
| | - Sian Bradley
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- The University of New South Wales (UNSW) Medicine Sydney, South West Sydney Clinical School, Sydney, NSW, Australia
| | - Vijay Kumar Chattu
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- Department of Medicine, University of Toronto, St. Michael's Hospital, Toronto, ON, Canada
| | - Anil Adisesh
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- Department of Medicine, University of Toronto, St. Michael's Hospital, Toronto, ON, Canada
| | - Alma Nurtazina
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- Department of Epidemiology and Biostatistics, Semey Medical University, Semey, Kazakhstan
| | - Saltanat Kyrykbayeva
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- Department of Epidemiology and Biostatistics, Semey Medical University, Semey, Kazakhstan
| | - Sateesh Sakhamuri
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- The University of the West Indies, St. Augustine, Trinidad and Tobago
| | - Sanni Yaya
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- School of International Development and Global Studies, University of Ottawa, Ottawa, ON, Canada
| | - Thankam Sunil
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- Department of Public Health, University of Tennessee, Knoxville, Knoxville, TN, United States
| | - Pravin Thomas
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- Department of Neurology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Viviana Mucci
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- School of Science, Western Sydney University, Sydney, NSW, Australia
| | - Sebastian Moguilner
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Simon Israel-Korn
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- Movement Disorders Institute, Department of Neurology, Sheba Medical Center, Tel Hashomer, Ramat Gan & Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Jason Alacapa
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- metaHealth Insights and Innovation, Manila, Philippines
| | - Abha Mishra
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- Department of Anthropology, University of Delhi, New Delhi, India
| | - Shawna Pandya
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- University of Alberta, Alberta Health Services and Project PoSSUM, Edmonton, AB, Canada
| | - Starr Schroeder
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- Penn Medicine Lancaster General Hospital and Project PoSSUM, Lancaster, PA, United States
| | - Ashish Atreja
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- Icahn School of Medicine, Mount Sinai Hospital, Mount Sinai, New York, NY, United States
| | - Maciej Banach
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- Polish Mother's Memorial Hospital Research Institute (PMMHRI) in Lodz, Cardiovascular Research Centre, University of Zielona Gora, Zielona Gora, Poland
- Department of Hypertension, Medical University of Lodz, Lodz, Poland
| | - Daniel Ray
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia
- Farr Institute of Health Informatics, University College London (UCL) & NHS Foundation Trust, Birmingham, United Kingdom
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Ravindran AV, Killingsworth MC, Bhaskar S. Cerebral collaterals in acute ischaemia: Implications for acute ischaemic stroke patients receiving reperfusion therapy. Eur J Neurosci 2020; 53:1238-1261. [PMID: 32871623 DOI: 10.1111/ejn.14955] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [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: 07/29/2020] [Revised: 08/20/2020] [Accepted: 08/22/2020] [Indexed: 12/21/2022]
Abstract
The cerebral collaterals play an important role in penumbral tissue sustenance after an acute ischaemic stroke. Recent studies have demonstrated the potential role of collaterals in the selection of acute ischaemic stroke patients eligible for reperfusion therapy. However, the understanding of the significance and evidence around the role of collateral status in predicting outcomes in acute ischaemic stroke patients treated with reperfusion therapy is still unclear. Moreover, the use of pre-treatment collaterals in patient selection and prognosis is relatively underappreciated in clinical settings. A focused review of the literature was performed on the various methods of collateral evaluation and the role of collateral status in acute ischaemic stroke patients receiving reperfusion therapy. We discuss the methods of evaluating pre-treatment collaterals in clinical settings. The patient selection based on collateral status as well as the prognostic and therapeutic value of collaterals in acute ischaemic stroke, in settings of intravenous thrombolysis or endovascular therapy alone, and bridge therapy, are summarized. Recommendations for future research and possible pharmacological intervention strategies aimed at collateral enhancement are also discussed. Collaterals may play an important role in identifying acute ischaemic stroke patients who are likely to benefit from endovascular treatment in an extended time window. Future neuroscientific efforts to better improve our understanding of the role of collaterals in acute ischaemia as well as clinical studies to delineate its role in patient selection and acute stroke prognosis are warranted.
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Affiliation(s)
- Abina Vishni Ravindran
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia.,Neurovascular Imaging Laboratory, Clinical Sciences Stream, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia.,Thrombolysis and Endovascular WorkFLOw Network (TEFLON), Sydney, NSW, Australia
| | - Murray C Killingsworth
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia.,NSW Brain Clot Bank, NSW Health Statewide Biobank and NSW Health Pathology, Sydney, NSW, Australia.,Correlative Microscopy Facility, Ingham Institute for Applied Medical Research and Department of Anatomical Pathology, NSW Health Pathology and Liverpool Hospital, Liverpool, NSW, Australia
| | - Sonu Bhaskar
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia.,Department of Neurology & Neurophysiology, Liverpool Hospital & South West Sydney Local Health District (SWSLHD), Sydney, NSW, Australia.,Neurovascular Imaging Laboratory, Clinical Sciences Stream, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia.,Stroke & Neurology Research Group, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia.,NSW Brain Clot Bank, NSW Health Statewide Biobank and NSW Health Pathology, Sydney, NSW, Australia.,Thrombolysis and Endovascular WorkFLOw Network (TEFLON), Sydney, NSW, Australia
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Bhaskar S, Bradley S, Chattu VK, Adisesh A, Nurtazina A, Kyrykbayeva S, Sakhamuri S, Moguilner S, Pandya S, Schroeder S, Banach M, Ray D. Telemedicine as the New Outpatient Clinic Gone Digital: Position Paper From the Pandemic Health System REsilience PROGRAM (REPROGRAM) International Consortium (Part 2). Front Public Health 2020; 8:410. [PMID: 33014958 PMCID: PMC7505101 DOI: 10.3389/fpubh.2020.00410] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [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: 04/30/2020] [Accepted: 07/10/2020] [Indexed: 12/11/2022] Open
Abstract
Technology has acted as a great enabler of patient continuity through remote consultation, ongoing monitoring, and patient education using telephone and videoconferencing in the coronavirus disease 2019 (COVID-19) era. The devastating impact of COVID-19 is bound to prevail beyond its current reign. The vulnerable sections of our community, including the elderly, those from lower socioeconomic backgrounds, those with multiple comorbidities, and immunocompromised patients, endure a relatively higher burden of a pandemic such as COVID-19. The rapid adoption of different technologies across countries, driven by the need to provide continued medical care in the era of social distancing, has catalyzed the penetration of telemedicine. Limiting the exposure of patients, healthcare workers, and systems is critical in controlling the viral spread. Telemedicine offers an opportunity to improve health systems delivery, access, and efficiency. This article critically examines the current telemedicine landscape and challenges in its adoption, toward remote/tele-delivery of care, across various medical specialties. The current consortium provides a roadmap and/or framework, along with recommendations, for telemedicine uptake and implementation in clinical practice during and beyond COVID-19.
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Affiliation(s)
- Sonu Bhaskar
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Department of Neurology, Liverpool Hospital and South Western Sydney Local Health District, Sydney, NSW, Australia.,Neurovascular Imaging Laboratory & NSW Brain Clot Bank, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia.,South Western Sydney Clinical School, The University of New South Wales, UNSW Medicine, Sydney, NSW, Australia
| | - Sian Bradley
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,The University of New South Wales (UNSW) Medicine Sydney, South West Sydney Clinical School, Sydney, NSW, Australia
| | - Vijay Kumar Chattu
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Department of Medicine, University of Toronto, Toronto, ON, Canada.,St. Michael's Hospital, Toronto, ON, Canada
| | - Anil Adisesh
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Department of Medicine, University of Toronto, Toronto, ON, Canada.,St. Michael's Hospital, Toronto, ON, Canada
| | - Alma Nurtazina
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Department of Epidemiology and Biostatistics, Semey Medical University, Semey, Kazakhstan
| | - Saltanat Kyrykbayeva
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Department of Epidemiology and Biostatistics, Semey Medical University, Semey, Kazakhstan
| | - Sateesh Sakhamuri
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Department of Clinical Medical Sciences, The University of the West Indies, St. Augustine, Trinidad and Tobago
| | - Sebastian Moguilner
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Shawna Pandya
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Alberta Health Services and Project PoSSUM, University of Alberta, Edmonton, AB, Canada
| | - Starr Schroeder
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Penn Medicine Lancaster General Hospital and Project PoSSUM, Lancaster, PA, United States
| | - Maciej Banach
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Polish Mother's Memorial Hospital Research Institute (PMMHRI), Łódz, Poland.,Cardiovascular Research Centre, University of Zielona Gora, Zielona Gora, Poland.,Department of Hypertension, Medical University of Lodz, Łódz, Poland
| | - Daniel Ray
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Farr Institute of Health Informatics, University College London (UCL) & NHS Foundation Trust, Birmingham, United Kingdom
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Bhaskar S, Sinha A, Banach M, Mittoo S, Weissert R, Kass JS, Rajagopal S, Pai AR, Kutty S. Cytokine Storm in COVID-19-Immunopathological Mechanisms, Clinical Considerations, and Therapeutic Approaches: The REPROGRAM Consortium Position Paper. Front Immunol 2020; 11:1648. [PMID: 32754159 PMCID: PMC7365905 DOI: 10.3389/fimmu.2020.01648] [Citation(s) in RCA: 300] [Impact Index Per Article: 75.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 06/19/2020] [Indexed: 12/11/2022] Open
Abstract
Cytokine storm is an acute hyperinflammatory response that may be responsible for critical illness in many conditions including viral infections, cancer, sepsis, and multi-organ failure. The phenomenon has been implicated in critically ill patients infected with SARS-CoV-2, the novel coronavirus implicated in COVID-19. Critically ill COVID-19 patients experiencing cytokine storm are believed to have a worse prognosis and increased fatality rate. In SARS-CoV-2 infected patients, cytokine storm appears important to the pathogenesis of several severe manifestations of COVID-19: acute respiratory distress syndrome, thromboembolic diseases such as acute ischemic strokes caused by large vessel occlusion and myocardial infarction, encephalitis, acute kidney injury, and vasculitis (Kawasaki-like syndrome in children and renal vasculitis in adult). Understanding the pathogenesis of cytokine storm will help unravel not only risk factors for the condition but also therapeutic strategies to modulate the immune response and deliver improved outcomes in COVID-19 patients at high risk for severe disease. In this article, we present an overview of the cytokine storm and its implications in COVID-19 settings and identify potential pathways or biomarkers that could be targeted for therapy. Leveraging expert opinion, emerging evidence, and a case-based approach, this position paper provides critical insights on cytokine storm from both a prognostic and therapeutic standpoint.
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Affiliation(s)
- Sonu Bhaskar
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Immunity Sub-committee
- Department of Neurology & Neurophysiology, Liverpool Hospital and South Western Sydney Local Health District, Sydney, NSW, Australia
- Neurovascular Imaging Laboratory & NSW Brain Clot Bank, Ingham Institute for Applied Medical Research, The University of New South Wales, UNSW Medicine, Sydney, NSW, Australia
| | - Akansha Sinha
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Immunity Sub-committee
- The University of New South Wales, UNSW Medicine, Sydney, NSW, Australia
| | - Maciej Banach
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Immunity Sub-committee
- Polish Mother's Memorial Hospital Research Institute, Lodz, Poland
- Cardiovascular Research Centre, University of Zielona Góra, Zielona Gora, Poland
- Department of Hypertension, Medical University of Lodz, Lodz, Poland
| | - Shikha Mittoo
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Immunity Sub-committee
- Department of Rheumatology, University Health Network and The University of Toronto, Toronto, ON, Canada
| | - Robert Weissert
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Immunity Sub-committee
- Department of Neurology, University of Regensburg, Regensburg, Germany
| | - Joseph S. Kass
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Immunity Sub-committee
- Department of Neurology, Ben Taub General Hospital and Alzheimer's Disease and Memory Disorders Center, Baylor College of Medicine, Houston, TX, United States
| | - Santhosh Rajagopal
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Immunity Sub-committee
- World Health Organisation, Country Office for India, NPSP, Madurai, India
| | - Anupama R. Pai
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Immunity Sub-committee
- Department of Neuromicrobiology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Shelby Kutty
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Immunity Sub-committee
- Department of Pediatric and Congenital Cardiology, Blalock-Taussig-Thomas Heart Center, John Hopkins Hospital, Baltimore, MD, United States
- Johns Hopkins Bloomberg School of Public Health, School of Medicine, John Hopkins University, Baltimore, MD, United States
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Bhaskar S, Bradley S, Israeli-Korn S, Menon B, Chattu VK, Thomas P, Chawla J, Kumar R, Prandi P, Ray D, Golla S, Surya N, Yang H, Martinez S, Ozgen MH, Codrington J, González EMJ, Toosi M, Hariya Mohan N, Menon KV, Chahidi A, Mederer Hengstl S. Chronic Neurology in COVID-19 Era: Clinical Considerations and Recommendations From the REPROGRAM Consortium. Front Neurol 2020; 11:664. [PMID: 32695066 PMCID: PMC7339863 DOI: 10.3389/fneur.2020.00664] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [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: 04/30/2020] [Accepted: 06/03/2020] [Indexed: 01/10/2023] Open
Abstract
With the rapid pace and scale of the emerging coronavirus 2019 (COVID-19) pandemic, a growing body of evidence has shown a strong association of COVID-19 with pre- and post- neurological complications. This has necessitated the need to incorporate targeted neurological care for this subgroup of patients which warrants further reorganization of services, healthcare workforce, and ongoing management of chronic neurological cases. The social distancing and the shutdown imposed by several nations in the midst of COVID-19 have severely impacted the ongoing care, access and support of patients with chronic neurological conditions such as Multiple Sclerosis, Epilepsy, Neuromuscular Disorders, Migraine, Dementia, and Parkinson disease. There is a pressing need for governing bodies including national and international professional associations, health ministries and health institutions to harmonize policies, guidelines, and recommendations relating to the management of chronic neurological conditions. These harmonized guidelines should ensure patient continuity across the spectrum of hospital and community care including the well-being, safety, and mental health of the patients, their care partners and the health professionals involved. This article provides an in-depth analysis of the impact of COVID-19 on chronic neurological conditions and specific recommendations to minimize the potential harm to those at high risk.
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Affiliation(s)
- Sonu Bhaskar
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Neurology and Neurophysiology, Liverpool Hospital, Sydney, NSW, Australia
- Neurovascular Imaging Laboratory & NSW Brain Clot Bank, Ingham Institute for Applied Medical Research and South West Sydney Clinical School, The University of New South Wales, UNSW Medicine, Sydney, NSW, Australia
| | - Sian Bradley
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- The University of New South Wales, UNSW Medicine, Sydney, NSW, Australia
| | - Simon Israeli-Korn
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Neurology, Sheba Medical Center, Tel Hashomer, Ramat Gan and Sackler School of Medicine, Movement Disorders Institute, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Bindu Menon
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Neurology, Apollo Hospitals, Nellore, India
| | - Vijay Kumar Chattu
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Pravin Thomas
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Neurology, University Hospitals NHS Foundation Trust, Birmingham, United Kingdom
| | - Jasvinder Chawla
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Neurology, Loyola University Medical Center & Hines VA Hospital, Chicago, IL, United States
| | - Rajeev Kumar
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Psychiatry, Hamad Medical Center, Qatar & Australian National University, Canberra, ACT, Australia
| | - Paolo Prandi
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Neurology, University of Eastern Piedmont Amedeo Avogadro, Novara, Italy
| | - Daniel Ray
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Farr Institute of Health Informatics, University College London (UCL) & NHS Foundation Trust, Birmingham, United Kingdom
| | - Sailaja Golla
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Texas Institute for Neurological Disorders, Dallas, TX, United States
| | - Nirmal Surya
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Neurology, Bombay Hospital & Medical Research Centre, and Epilepsy Foundation India, Mumbai, India
| | - Harvey Yang
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Neurology, Academic Hospital Paramaribo & Anton de Kom Universiteit van Suriname Faculteit der Medische Wetenschappen, Paramaribo, Suriname
| | - Sandra Martinez
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Neurology, Hospital da Restauração, Recife, Brazil
| | - Mihriban Heval Ozgen
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Psychiatry, Parnassia Psychiatric Institute, The Hague, Netherlands
- Curium-Leiden University Medical Centre, Oegstgeest, Netherlands
| | - John Codrington
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Laboratory Medicine, Academic Hospital Paramaribo and Anton de Kom Universiteit van Suriname Faculteit der Medische Wetenschappen, Paramaribo, Suriname
| | - Eva María Jiménez González
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Forensic Psychology, Forensic Psychology and Forensic Sciences Institute, Ministry of Justice, Granada, Spain
| | - Mandana Toosi
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- LodeStone Center for Behavioral Health and Eastern Illinois University, Chicago, IL, United States
| | - Nithya Hariya Mohan
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Chengalpattu Medical College and Hospital, Chengalpattu, India
| | - Koravangattu Valsraj Menon
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Psychiatry, South London and Maudsley NHS Foundation Trust, Kings Health Partners, London, United Kingdom
| | - Abderrahmane Chahidi
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- ED 268, DR 178, Sorbonne Nouvelle University, Paris, France
- Moroccan Society of Neurophysiology, Marrakech, Morocco
- Morocco and Basic and Clinical Neurosciences Research Laboratory, University Medical School of Marrakech, Marrakech, Morocco
| | - Susana Mederer Hengstl
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, Chronic Neurology REPROGRAM Sub-committee†
- Department of Neurology, Complejo Hospitalario de Pontevedra, Pontevedra, Spain
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Bhaskar S, Rastogi A, Chattu VK, Adisesh A, Thomas P, Alvarado N, Riahi AD, Varun CN, Pai AR, Barsam S, Walker AH. Key Strategies for Clinical Management and Improvement of Healthcare Services for Cardiovascular Disease and Diabetes Patients in the Coronavirus (COVID-19) Settings: Recommendations From the REPROGRAM Consortium. Front Cardiovasc Med 2020; 7:112. [PMID: 32613010 PMCID: PMC7308556 DOI: 10.3389/fcvm.2020.00112] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [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: 04/16/2020] [Accepted: 06/01/2020] [Indexed: 01/08/2023] Open
Abstract
Patients with cardiovascular disease and diabetes are at potentially higher risk of infection and fatality due to COVID-19. Given the social and economic costs associated with disability due to these conditions, it is imperative that specific considerations for clinical management of these patients be observed. Moreover, the reorganization of health services around the pandemic response further exacerbates the growing crisis around limited access, treatment compliance, acute medical needs, and mental health of patients in this specific subgroup. Existing recommendations and guidelines emanating from respective bodies have addressed some of the pressure points; however, there are variations and limitations vis a vis patient with multiple comorbidities such as obesity. This article will pull together a comprehensive assessment of the association of cardiovascular disease, diabetes, obesity and COVID-19, its impact on the health systems and how best health systems can respond to mitigate current challenges and future needs. We anticipate that in the context of this pandemic, the cardiovascular disease and diabetes patients need a targeted strategy to ensure the harm to this group does not translate to huge costs to society and to the economy. Finally, we propose a triage and management protocol for patients with cardiovascular disease and diabetes in the COVID-19 settings to minimize harm to patients, health systems and healthcare workers alike.
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Affiliation(s)
- Sonu Bhaskar
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, CVD and Metabolic REPROGRAM Sub-committee, Sydney, NSW, Australia
- Liverpool Hospital & South West Sydney Local Health District (SWSLHD), Department of Neurology & Neurophysiology, Sydney, NSW, Australia
- Neurovascular Imaging Laboratory, Ingham Institute for Applied Medical Research, Clinical Sciences Stream, Sydney, NSW, Australia
- NSW Brain Clot Bank, NSW Health Statewide Biobank, Sydney, NSW, Australia
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Aarushi Rastogi
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, CVD and Metabolic REPROGRAM Sub-committee, Sydney, NSW, Australia
- Neurovascular Imaging Laboratory, Ingham Institute for Applied Medical Research, Clinical Sciences Stream, Sydney, NSW, Australia
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Vijay Kumar Chattu
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, CVD and Metabolic REPROGRAM Sub-committee, Sydney, NSW, Australia
- Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Anil Adisesh
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, CVD and Metabolic REPROGRAM Sub-committee, Sydney, NSW, Australia
- Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Pravin Thomas
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, CVD and Metabolic REPROGRAM Sub-committee, Sydney, NSW, Australia
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Negman Alvarado
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, CVD and Metabolic REPROGRAM Sub-committee, Sydney, NSW, Australia
- Department of Neurophysiology, Instituto Médico Dr. Rodriguez Alfici, Godoy Cruz, Argentina
| | - Anis D. Riahi
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, CVD and Metabolic REPROGRAM Sub-committee, Sydney, NSW, Australia
- Department of Neurology, Faculty of Medicine, Military Hospital of Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Chakrakodi N. Varun
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, CVD and Metabolic REPROGRAM Sub-committee, Sydney, NSW, Australia
- State Level Virus Research and Diagnostics Laboratory, Bangalore Medical College and Research Institute, Bengaluru, India
| | - Anupama R. Pai
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, CVD and Metabolic REPROGRAM Sub-committee, Sydney, NSW, Australia
- Department of Neuromicrobiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - Sarah Barsam
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, CVD and Metabolic REPROGRAM Sub-committee, Sydney, NSW, Australia
- Department of Hematology, North Middlesex Hospital, King's Thrombosis Center & King's College Hospital NHS Foundation Trust, King's College London, London, United Kingdom
| | - Antony H. Walker
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, CVD and Metabolic REPROGRAM Sub-committee, Sydney, NSW, Australia
- Department of Cardiothoracic Surgery, Lancashire Cardiac Centre, Blackpool Victoria Hospital, NHS, Blackpool, United Kingdom
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49
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Calic Z, Nham B, Bradshaw AP, Young AS, Bhaskar S, D'Souza M, Anderson CS, Cappelen-Smith C, Cordato D, Welgampola MS. Separating posterior-circulation stroke from vestibular neuritis with quantitative vestibular testing. Clin Neurophysiol 2020; 131:2047-2055. [PMID: 32600960 DOI: 10.1016/j.clinph.2020.04.173] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [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: 01/11/2020] [Revised: 03/25/2020] [Accepted: 04/26/2020] [Indexed: 10/24/2022]
Abstract
OBJECTIVE To separate vestibular neuritis (VN) from posteriorcirculation stroke (PCS) using quantitative tests of canal and otolith function. METHODS Video Head-Impulse tests (vHIT) were used to assess all three semicircular canal pairs; vestibulo-ocular reflex (VOR) gain and saccade metrics were examined. Cervical and ocular-Vestibular-Evoked Myogenic Potentials (c- and oVEMP) and Subjective Visual Horizontal (SVH) were used to assess otolith function. RESULTS For controls (n = 40), PCS (n = 22), and VN (n = 22), mean horizontal-canal VOR-gains were 0.96 ± 0.1, 0.85 ± 0.3 and 0.40 ± 0.2, refixation-saccade prevalence was 71.9 ± 41, 90.7 ± 57, 209.2 ± 62 per 100 impulses and cumulative-saccade amplitudes were 0.9 ± 0.4°, 2.4 ± 2.2°, 8.0 ± 3.5°. Abnormality-rates for cVEMP, oVEMP and SVH were 38%, 9%, 72% for PCS, and 43%, 50%, 91% for VN. A gain ≤0.68, refixation-saccade prevalence of ≥135% and cumulative-saccade amplitudes ≥5.3° separated VN from PCS with sensitivities of 95.5%, 95.5%, and 81.8%, and specificities of 68.2%, 86.4% and 95.5%. VOR-gain and saccade prevalence when combined, separated VN from PCS with a sensitivity and specificity of 90.9%. Abnormal oVEMP asymmetry-ratios were of low sensitivity (50%) but high specificity (90.9%) for separating VN from PCS. CONCLUSION vHIT provided the best separation of VN from PCS. VOR-gain, refixation-saccade prevalence and amplitude were effective discriminators of VN from PCS. SIGNIFICANCE vHIT and oVEMP could assist early identification of the aetiology of Acute Vestibular Syndrome in the Emergency Room.
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Affiliation(s)
- Zeljka Calic
- Department of Neurophysiology, Liverpool Hospital, Liverpool, NSW, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, NSW, Australia; Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia
| | - Benjamin Nham
- Institute of Clinical Neurosciences, Royal Prince Alfred Hospital, Central Clinical School, University of Sydney, Sydney, NSW, Australia
| | - Andrew P Bradshaw
- Institute of Clinical Neurosciences, Royal Prince Alfred Hospital, Central Clinical School, University of Sydney, Sydney, NSW, Australia
| | - Allison S Young
- Institute of Clinical Neurosciences, Royal Prince Alfred Hospital, Central Clinical School, University of Sydney, Sydney, NSW, Australia
| | - Sonu Bhaskar
- Department of Neurophysiology, Liverpool Hospital, Liverpool, NSW, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, NSW, Australia; Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia
| | - Mario D'Souza
- Clinical Research Centre, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Craig S Anderson
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Cecilia Cappelen-Smith
- Department of Neurophysiology, Liverpool Hospital, Liverpool, NSW, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, NSW, Australia; Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia
| | - Dennis Cordato
- Department of Neurophysiology, Liverpool Hospital, Liverpool, NSW, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, NSW, Australia; Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia
| | - Miriam S Welgampola
- Institute of Clinical Neurosciences, Royal Prince Alfred Hospital, Central Clinical School, University of Sydney, Sydney, NSW, Australia.
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50
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Bhaskar S, Sharma D, Walker AH, McDonald M, Huasen B, Haridas A, Mahata MK, Jabbour P. Acute Neurological Care in the COVID-19 Era: The Pandemic Health System REsilience PROGRAM ( REPROGRAM) Consortium Pathway. Front Neurol 2020; 11:579. [PMID: 32574252 PMCID: PMC7273748 DOI: 10.3389/fneur.2020.00579] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [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: 04/15/2020] [Accepted: 05/19/2020] [Indexed: 01/09/2023] Open
Abstract
The management of acute neurological conditions, particularly acute ischemic stroke, in the context of Coronavirus disease 2019 (COVID-19), is of importance, considering the risk of infection to the healthcare workers and patients and emerging evidence of the neuroinvasive potential of the virus. There are variations in expert guidelines further complicating the picture for clinicians in acute settings. In this light, there is a compelling need for further formulation of recommendations that compile these variations seen in the numerous guidelines present. Health system protocols for managing ongoing acute neurological care and intervention need consideration of safety and well-being of the frontline healthcare workers and the patients. We examine existing pathways and their efficacy to mitigate viral exposure to the healthcare workers and patients and synthesize a systemic approach to manage patients with acute neurological conditions in the COVID-19 scenario. Early experiences with a COVID-19 positive stroke patient treated with endovascular thrombectomy is presented to highlight the urgent need for adequate personal protective equipment (PPE) during acute neuro-interventional procedures.
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Affiliation(s)
- Sonu Bhaskar
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Acute Care Sub-committee†, Sydney, NSW, Australia.,Department of Neurology, Liverpool Hospital, Liverpool, NSW, Australia.,Neurovascular Imaging Laboratory & NSW Brain Clot Bank, Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia.,The University of New South Wales Sydney, UNSW Medicine, Sydney, NSW, Australia
| | - Divyansh Sharma
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Acute Care Sub-committee†, Sydney, NSW, Australia.,The University of New South Wales Sydney, UNSW Medicine, Sydney, NSW, Australia
| | - Antony H Walker
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Acute Care Sub-committee†, Sydney, NSW, Australia.,Lancashire Cardiac Centre, Blackpool Victoria Hospital, NHS, Lancashire, United Kingdom
| | - Mark McDonald
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Acute Care Sub-committee†, Sydney, NSW, Australia.,Department of Neurology, University of Virginia, Charlottesville, VA, United States
| | - Bella Huasen
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Acute Care Sub-committee†, Sydney, NSW, Australia.,Department of Interventional Neuroradiology, Lancashire University Teaching Hospitals, Preston, United Kingdom
| | - Abilash Haridas
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Acute Care Sub-committee†, Sydney, NSW, Australia.,Pediatric Neurosurgery, Cerebrovascular and Skull Base Neurosurgery, St Joseph's Hospital, Tampa, FL, United States
| | - Manoj Kumar Mahata
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Acute Care Sub-committee†, Sydney, NSW, Australia.,Department of Stroke and Neurointervention, Woodlands Multispeciality Hospital Limited, Kolkata, India
| | - Pascal Jabbour
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Acute Care Sub-committee†, Sydney, NSW, Australia.,Division of Neurovascular Surgery and Endovascular Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, PA, United States
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