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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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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 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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Norouzian Baghani A, Norrving B, Noubiap JJ, Novotney A, Nri-Ezedi CA, Ntaios G, Ntsekhe M, Nuñez-Samudio V, Nurrika D, Oancea B, Obamiro KO, Odetokun IA, Ofakunrin AOD, Ogunsakin RE, Oguta JO, Oh IH, Okati-Aliabad H, Okeke SR, Okekunle AP, Okidi L, Okonji OC, Okwute PG, Olagunju AT, Olaiya MT, Olanipekun TO, Olatubi MI, Olivas-Martinez A, Oliveira GMM, Oliver S, Olorukooba AA, Olufadewa II, Olusanya BO, Olusanya JO, Oluwafemi YD, Oluwatunase GO, Omar HA, Omer GL, Ong S, Onwujekwe OE, Onyedibe KI, Opio JN, Ordak M, Orellana ER, Orisakwe OE, Orish VN, Orru H, Ortega-Altamirano DV, Ortiz A, Ortiz-Brizuela E, Ortiz-Prado E, Osuagwu UL, Otoiu A, Otstavnov N, Ouyahia A, Ouyang G, Owolabi MO, Oyeyemi IT, Oyeyemi OT, Ozten Y, P A MP, Padubidri JR, Pahlavikhah Varnosfaderani M, Pal PK, Palicz T, Palladino C, Palladino R, Palma-Alvarez RF, Pana A, Panahi P, Pandey A, Pandi-Perumal SR, Pando-Robles V, Pangaribuan HU, Panos GD, Pantazopoulos I, Papadopoulou P, Pardhan S, Parikh RR, Park S, Parthasarathi A, Pashaei A, Pasupula DK, Patel JR, Patel SK, Pathan AR, Patil A, Patil S, Patoulias D, Patthipati VS, Paudel U, Pawar S, Pazoki Toroudi H, Pease SA, Peden AE, Pedersini P, Peng M, Pensato U, Pepito VCF, Peprah EK, Pereira G, Pereira J, Pereira M, Peres MFP, Perianayagam A, Perico N, Petcu IR, Petermann-Rocha FE, Pezzani R, Pham HT, Phillips MR, Pierannunzio D, Pigeolet M, Pigott DM, Pilgrim T, Pinheiro M, Piradov MA, Plakkal N, Plotnikov E, Poddighe D, Pollner P, Poluru R, Pond CD, Postma MJ, Poudel GR, Poudel L, Pourali G, Pourtaheri N, Prada SI, Pradhan PMS, Prajapati VK, Prakash V, Prasad CP, Prasad M, Prashant A, Prates EJS, Purnobasuki H, Purohit BM, Puvvula J, Qaisar R, Qasim NH, Qattea I, Qian G, Quan NK, Radfar A, Radhakrishnan V, Raee P, Raeisi Shahraki H, Rafiei Alavi SN, Rafique I, Raggi A, Rahim F, Rahman MM, Rahman M, Rahman MA, Rahman T, Rahmani AM, Rahmani S, Rahnavard N, Rai P, Rajaa S, Rajabpour-Sanati A, Rajput P, Ram P, Ramadan H, Ramasamy SK, Ramazanu S, Rana J, Rana K, Ranabhat CL, Rancic N, Rani S, Ranjan S, Rao CR, Rao IR, Rao M, Rao SJ, Rasali DP, Rasella D, Rashedi S, Rashedi V, Rashid AM, Rasouli-Saravani A, Rastogi P, Rasul A, Ravangard R, Ravikumar N, Rawaf DL, Rawaf S, Rawassizadeh R, Razeghian-Jahromi I, Reddy MMRK, Redwan EMM, Rehman FU, Reiner Jr RC, Remuzzi G, Reshmi B, Resnikoff S, Reyes LF, Rezaee M, Rezaei N, Rezaei N, Rezaeian M, Riaz MA, Ribeiro AI, Ribeiro DC, Rickard J, Rios-Blancas MJ, Robinson-Oden HE, Rodrigues M, Rodriguez JAB, Roever L, Rohilla R, Rohloff P, Romadlon DS, Ronfani L, Roshandel G, Roshanzamir S, Rostamian M, Roy B, Roy P, Rubagotti E, Rumisha SF, Rwegerera GM, Rynkiewicz A, S M, S N C, S Sunnerhagen K, Saad AMA, Sabbatucci M, Saber K, Saber-Ayad MM, Sacco S, Saddik B, Saddler A, Sadee BA, Sadeghi E, Sadeghi M, Sadeghian S, Saeed U, Saeedi M, Safi S, Sagar R, Saghazadeh A, Saheb Sharif-Askari N, Sahoo SS, Sahraian MA, Sajedi SA, Sajid MR, Sakshaug JW, Salahi S, Salahi S, Salamati P, Salami AA, Salaroli LB, Saleh MA, Salehi S, Salem MR, Salem MZY, Salimi S, Samadi Kafil H, Samadzadeh S, Samara KA, Samargandy S, Samodra YL, Samuel VP, Samy AM, Sanabria J, Sanadgol N, Sanganyado E, Sanjeev RK, Sanmarchi F, Sanna F, Santri IN, Santric-Milicevic MM, Sarasmita MA, Saravanan A, Saravi B, Sarikhani Y, Sarkar C, Sarmiento-Suárez R, Sarode GS, Sarode SC, Sarveazad A, Sathian B, Sathish T, Sattin D, Saulam J, Sawyer SM, Saxena S, Saya GK, Sayadi Y, Sayeed A, Sayeed MA, Saylan M, Scarmeas N, Schaarschmidt BM, Schlee W, Schmidt MI, Schuermans A, Schwebel DC, Schwendicke F, Šekerija M, Selvaraj S, Semreen MH, Senapati S, Sengupta P, Senthilkumaran S, Sepanlou SG, Serban D, Sertsu A, Sethi Y, SeyedAlinaghi S, Seyedi SA, Shafaat A, Shafaat O, Shafie M, Shafiee A, Shah NS, Shah PA, Shahabi S, Shahbandi A, Shahid I, Shahid S, Shahid W, Shahwan MJ, Shaikh MA, Shakeri A, Shakil H, Sham S, Shamim MA, Shams-Beyranvand M, Shamshad H, Shamshirgaran MA, Shamsi MA, Shanawaz M, Shankar A, Sharfaei S, Sharifan A, Shariff M, Sharifi-Rad J, Sharma M, Sharma R, Sharma S, Sharma V, Shastry RP, Shavandi A, Shaw DH, Shayan AM, Shehabeldine AME, Sheikh A, Sheikhi RA, Shen J, Shenoy MM, Shetty BSK, Shetty RS, Shey RA, Shiani A, Shibuya K, Shiferaw D, Shigematsu M, Shin JI, Shin MJ, Shiri R, Shirkoohi R, Shittu A, Shiue I, Shivakumar KM, Shivarov V, Shool S, Shrestha S, Shuja KH, Shuval K, Si Y, Sibhat MM, Siddig EE, Sigfusdottir ID, Silva JP, Silva LMLR, Silva S, Simões JP, Simpson CR, Singal A, Singh A, Singh A, Singh A, Singh BB, Singh B, Singh M, Singh M, Singh NP, Singh P, Singh S, Siraj MS, Sitas F, Sivakumar S, Skryabin VY, Skryabina AA, Sleet DA, Slepak ELN, Sohrabi H, Soleimani H, Soliman SSM, Solmi M, Solomon Y, Song Y, Sorensen RJD, Soriano JB, Soyiri IN, Spartalis M, Sreeramareddy CT, Starnes JR, Starodubov VI, Starodubova AV, Stefan SC, Stein DJ, Steinbeis F, Steiropoulos P, Stockfelt L, Stokes MA, Stortecky S, Stranges S, Stroumpoulis K, Suleman M, Suliankatchi Abdulkader R, Sultana A, Sun J, Sunkersing D, Susanty S, Swain CK, Sykes BL, Szarpak L, Szeto MD, Szócska M, Tabaee Damavandi P, Tabatabaei Malazy O, Tabatabaeizadeh SA, Tabatabai S, Tabb KM, Tabish M, Taborda-Barata LM, Tabuchi T, Tadesse BT, Taheri A, Taheri Abkenar Y, Taheri Soodejani M, Taherkhani A, Taiba J, Tajbakhsh A, Talaat IM, Talukder A, Tamuzi JL, Tan KK, Tang H, Tang HK, Tat NY, Tat VY, Tavakoli Oliaee R, Tavangar SM, Taveira N, Tebeje TM, Tefera YM, Teimoori M, Temsah MH, Temsah RMH, Teramoto M, Tesfaye SH, Thangaraju P, Thankappan KR, Thapa R, Thapar R, Thomas N, Thrift AG, Thum CCC, Tian J, Tichopad A, Ticoalu JHV, Tiruye TY, Tohidast SA, Tonelli M, Touvier M, Tovani-Palone MR, Tram KH, Tran NM, Trico D, Trihandini I, Tromans SJ, Truong VT, Truyen TTTT, Tsermpini EE, Tumurkhuu M, Tung K, Tyrovolas S, Ubah CS, Udoakang AJ, Udoh A, Ulhaq I, Ullah S, Ullah S, Umair M, Umar TP, Umeokonkwo CD, Umesh A, Unim B, Unnikrishnan B, Upadhyay E, Urso D, Vacante M, Vahdani AM, Vaithinathan AG, Valadan Tahbaz S, Valizadeh R, Van den Eynde J, Varavikova E, Varga O, Varma SA, Vart P, Varthya SB, Vasankari TJ, Veerman LJ, Venketasubramanian N, Venugopal D, Verghese NA, Verma M, Verma P, Veroux M, Verras GI, Vervoort D, Vieira RJ, Villafañe JH, Villani L, Villanueva GI, Villeneuve PJ, Violante FS, Visontay R, Vlassov V, Vo B, Vollset SE, Volovat SR, Volovici V, Vongpradith A, Vos T, Vujcic IS, Vukovic R, Wado YD, Wafa HA, Waheed Y, Wamai RG, Wang C, Wang D, Wang F, Wang S, Wang S, Wang Y, Wang YP, Ward P, Watson S, Weaver MR, Weerakoon KG, Weiss DJ, Weldemariam AH, Wells KM, Wen YF, Werdecker A, Westerman R, Wickramasinghe DP, Wickramasinghe ND, Wijeratne T, Wilson S, Wojewodzic MW, Wool EE, Woolf AD, Wu D, Wulandari RD, Xiao H, Xu B, Xu X, Yadav L, Yaghoubi S, Yang L, Yano Y, Yao Y, Ye P, Yesera GE, Yesodharan R, Yesuf SA, Yiğit A, Yiğit V, Yip P, Yon DK, Yonemoto N, You Y, Younis MZ, Yu C, Zadey S, Zadnik V, Zafari N, Zahedi M, Zahid MN, Zahir M, Zakham F, Zaki N, Zakzuk J, Zamagni G, Zaman BA, Zaman SB, Zamora N, Zand R, Zandi M, Zandieh GGZ, Zanghì A, Zare I, Zastrozhin MS, Zeariya MGM, Zeng Y, Zhai C, Zhang C, Zhang H, Zhang H, Zhang Y, Zhang Z, Zhang Z, Zhao H, Zhao Y, Zhao Y, Zheng P, Zhong C, Zhou J, Zhu B, Zhu Z, Ziaeefar P, Zielińska M, Zou Z, Zumla A, Zweck E, Zyoud SH, Lim SS, Murray CJL. Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950-2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:1989-2056. [PMID: 38484753 DOI: 10.1016/s0140-6736(24)00476-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/08/2023] [Accepted: 03/06/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020-21 COVID-19 pandemic period. METHODS 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. FINDINGS Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5-65·1] decline), and increased during the COVID-19 pandemic period (2020-21; 5·1% [0·9-9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98-5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50-6·01) in 2019. An estimated 131 million (126-137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7-17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8-24·8), from 49·0 years (46·7-51·3) to 71·7 years (70·9-72·5). Global life expectancy at birth declined by 1·6 years (1·0-2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67-8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4-52·7]) and south Asia (26·3% [9·0-44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. INTERPRETATION Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic. FUNDING Bill & Melinda Gates Foundation.
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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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Chung SC, Schmit AF, Lip GYH, Providencia R. Electronic health record-wide association study for atrial fibrillation in a British cohort. Front Cardiovasc Med 2023; 10:1204892. [PMID: 37840952 PMCID: PMC10569421 DOI: 10.3389/fcvm.2023.1204892] [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] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 09/12/2023] [Indexed: 10/17/2023] Open
Abstract
Background Atrial fibrillation (AF) confers a major healthcare burden from hospitalisations and AF-related complications, such as stroke and heart failure. We performed an electronic health records-wide association study to identify the most frequent reasons for healthcare utilization, pre and post new-onset AF. Methods Prospective cohort study with the linked electronic health records of 5.6 million patients in the United Kingdom Clinical Practice Research Datalink (1998-2016). A cohort study with AF patients and their age-and sex matched controls was implemented to compare the top 100 reasons of frequent hospitalisation and primary consultation. Results Of the 199,433 patients who developed AF, we found the most frequent healthcare interactions to be cardiac, cerebrovascular and peripheral-vascular conditions, both prior to AF diagnosis (41/100 conditions in secondary care, such as cerebral infarction and valve diseases; and 33/100 conditions in primary care), and subsequently (47/100 conditions hospital care and 48 conditions in primary care). There was a high representation of repeated visits for cancer and infection affecting multiple organ systems. We identified 10 novel conditions which have not yet been associated with AF: folic acid deficiency, pancytopenia, idiopathic thrombocytopenic purpura, seborrheic dermatitis, lymphoedema, angioedema, laryngopharyngeal reflux, rib fracture, haemorrhagic gastritis, inflammatory polyneuropathies. Conclusion Our nationwide data provide knowledge and better understanding of the clinical needs of AF patients suggesting: (i) groups at higher risk of AF, where screening may be more cost-effective, and (ii) potential complications developing following new-onset AF that can be prevented through implementation of comprehensive integrated care management and more personalised, tailored treatment. Clinical trial registration NCT04786366.
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Affiliation(s)
- Sheng-Chia Chung
- Institute of Health Informatics, University College London, London, United Kingdom
| | - Amand F. Schmit
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Gregory Y. H. Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom
- Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Rui Providencia
- Institute of Health Informatics, University College London, London, United Kingdom
- Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom
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Cortesi PA, Fornari C, Conti S, Antonazzo IC, Ferrara P, Ahmed A, Andrei CL, Andrei T, Artamonov AA, Banach M, Baravelli CM, Bärnighausen TW, Bhagavathula AS, Briko NI, Calina D, Carreras G, Chung SC, Dianatinasab M, Dubljanin E, Durojaiye OC, Ezeonwumelu IJ, Fagbamigbe AF, Fischer F, Gallus S, Glushkova EV, Golinelli D, Gorini G, Hassan S, Hay SI, Hostiuc M, Ilic IM, Ilic MD, Jakovljevic M, Jamshidi E, Jozwiak JJ, Kabir Z, Kauppila JH, Khalilov R, Khan MAB, Khatab K, Koyanagi A, La Vecchia C, Lazarus JV, Ledda C, Levi M, Lopukhov PD, Loureiro JA, Matthews PC, Mentis AFA, Mestrovic T, Moazen B, Mohammed S, Monasta L, Mulita F, Murray CJL, Negoi I, Oancea B, Palladino C, Patel J, Petcu IR, Postma MJ, Rawaf DL, Rawaf S, Romero-Rodríguez E, Santric-Milicevic MM, Skryabin VY, Skryabina AA, Tabarés-Seisdedos R, Tampa M, Taveira N, Thiyagarajan A, Tovani-Palone MR, Westerman R, Zastrozhin MS, Mazzaglia G, Mantovani LG. Hepatitis B and C in Europe: an update from the Global Burden of Disease Study 2019. Lancet Public Health 2023; 8:e701-e716. [PMID: 37633679 DOI: 10.1016/s2468-2667(23)00149-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 07/10/2023] [Accepted: 07/12/2023] [Indexed: 08/28/2023]
Abstract
BACKGROUND In 2016, the World Health Assembly adopted the resolution to eliminate viral hepatitis by 2030. This study aims to provide an overview of the burdens of hepatitis B virus (HBV) and hepatitis C virus (HCV) in Europe and their changes from 2010 to 2019 using estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. METHODS We used GBD 2019 estimates of the burden associated with HBV-related and HCV-related diseases: acute hepatitis, cirrhosis and other chronic liver diseases, and liver cancer. We report total numbers and age-standardised rates per 100 000 for mortality, prevalence, incidence, and disability-adjusted life-years (DALYs) from 2010 to 2019. For each HBV-related and HCV-related disease and each measure, we analysed temporal changes and percentage changes for the 2010-19 period. FINDINGS In 2019, across all age groups, there were an estimated 2·08 million (95% uncertainty interval [UI] 1·66 to 2·54) incident cases of acute hepatitis B and 0·49 million (0·42 to 0·57) of hepatitis C in Europe. There were an estimated 8·24 million (7·56 to 8·88) prevalent cases of HBV-related cirrhosis and 11·87 million (9·77 to 14·41) of HCV-related cirrhosis, with 24·92 thousand (19·86 to 31·03) deaths due to HBV-related cirrhosis and 36·89 thousand (29·94 to 45·56) deaths due to HCV-related cirrhosis. Deaths were estimated at 9·00 thousand (6·88 to 11·62) due to HBV-related liver cancer and 23·07 thousand (18·95 to 27·31) due to HCV-related liver cancer. Between 2010 and 2019, the age-standardised incidence rate of acute hepatitis B decreased (-22·14% [95% UI -35·44 to -5·98]) as did its age-standardised mortality rate (-33·27% [-43·03 to -25·49]); the age-standardised prevalence rate (-20·60% [-22·09 to -19·10]) and mortality rate (-33·19% [-37·82 to -28·13]) of HBV-related cirrhosis also decreased in this time period. The age-standardised incidence rate of acute hepatitis C decreased by 3·24% (1·17 to 5·02) and its age-standardised mortality rate decreased by 35·73% (23·48 to 47·75) between 2010 and 2019; the age-standardised prevalence rate (-6·37% [-8·11 to -4·32]), incidence rate (-5·87% [-11·24 to -1·01]), and mortality rate (-11·11% [-16·54 to -5·53]) of HCV-related cirrhosis also decreased. No significant changes were observed in age-standardised rates of HBV-related and HCV-related liver cancer, although we observed a significant increase in numbers of cases of HCV-related liver cancer across all ages between 2010 and 2019 (16·41% [2·81 to 30·91] increase in prevalent cases). Substantial reductions in DALYs since 2010 were estimated for acute hepatitis B (-27·82% [-36·92 to -20·24]), acute hepatitis C (-27·07% [-15·97 to -39·34]), and HBV-related cirrhosis (-30·70% [-35·75 to -25·03]). A moderate reduction in DALYs was estimated for HCV-related cirrhosis (-6·19% [-0·19 to -12·57]). Only HCV-related liver cancer showed a significant increase in DALYs (10·37% [4·81-16·63]). Changes in age-standardised DALY rates closely resembled those observed for overall DALY counts, except for HCV-liver related cancer (-2·84% [-7·75 to 2·63]). INTERPRETATION Although decreases in some HBV-related and HCV-related diseases were estimated between 2010 and 2019, HBV-related and HCV-related diseases are still associated with a high burden, highlighting the need for more intensive and coordinated interventions within European countries to reach the goal of elimination by 2030. FUNDING Bill & Melinda Gates Foundation.
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Ong KL, Stafford LK, McLaughlin SA, Boyko EJ, Vollset SE, Smith AE, Dalton BE, Duprey J, Cruz JA, Hagins H, Lindstedt PA, Aali A, Abate YH, Abate MD, Abbasian M, Abbasi-Kangevari Z, Abbasi-Kangevari M, Abd ElHafeez S, Abd-Rabu R, Abdulah DM, Abdullah AYM, Abedi V, Abidi H, Aboagye RG, Abolhassani H, Abu-Gharbieh E, Abu-Zaid A, Adane TD, Adane DE, Addo IY, Adegboye OA, Adekanmbi V, Adepoju AV, Adnani QES, Afolabi RF, Agarwal G, Aghdam ZB, Agudelo-Botero M, Aguilera Arriagada CE, Agyemang-Duah W, Ahinkorah BO, Ahmad D, Ahmad R, Ahmad S, Ahmad A, Ahmadi A, Ahmadi K, Ahmed A, Ahmed A, Ahmed LA, Ahmed SA, Ajami M, Akinyemi RO, Al Hamad H, Al Hasan SM, AL-Ahdal TMA, Alalwan TA, Al-Aly Z, AlBataineh MT, Alcalde-Rabanal JE, Alemi S, Ali H, Alinia T, Aljunid SM, Almustanyir S, Al-Raddadi RM, Alvis-Guzman N, Amare F, Ameyaw EK, Amiri S, Amusa GA, Andrei CL, Anjana RM, Ansar A, Ansari G, Ansari-Moghaddam A, Anyasodor AE, Arabloo J, Aravkin AY, Areda D, Arifin H, Arkew M, Armocida B, Ärnlöv J, Artamonov AA, Arulappan J, Aruleba RT, Arumugam A, Aryan Z, Asemu MT, Asghari-Jafarabadi M, Askari E, Asmelash D, Astell-Burt T, Athar M, Athari SS, Atout MMW, Avila-Burgos L, Awaisu A, Azadnajafabad S, B DB, Babamohamadi H, Badar M, Badawi A, Badiye AD, Baghcheghi N, Bagheri N, Bagherieh S, Bah S, Bahadory S, Bai R, Baig AA, Baltatu OC, Baradaran HR, Barchitta M, Bardhan M, Barengo NC, Bärnighausen TW, Barone MTU, Barone-Adesi F, Barrow A, Bashiri H, Basiru A, Basu S, Basu S, Batiha AMM, Batra K, Bayih MT, Bayileyegn NS, Behnoush AH, Bekele AB, Belete MA, Belgaumi UI, Belo L, Bennett DA, Bensenor IM, Berhe K, Berhie AY, Bhaskar S, Bhat AN, Bhatti JS, Bikbov B, Bilal F, Bintoro BS, Bitaraf S, Bitra VR, Bjegovic-Mikanovic V, Bodolica V, Boloor A, Brauer M, Brazo-Sayavera J, Brenner H, Butt ZA, Calina D, Campos LA, Campos-Nonato IR, Cao Y, Cao C, Car J, Carvalho M, Castañeda-Orjuela CA, Catalá-López F, Cerin E, Chadwick J, Chandrasekar EK, Chanie GS, Charan J, Chattu VK, Chauhan K, Cheema HA, Chekol Abebe E, Chen S, Cherbuin N, Chichagi F, Chidambaram SB, Cho WCS, Choudhari SG, Chowdhury R, Chowdhury EK, Chu DT, Chukwu IS, Chung SC, Coberly K, Columbus A, Contreras D, Cousin E, Criqui MH, Cruz-Martins N, Cuschieri S, Dabo B, Dadras O, Dai X, Damasceno AAM, Dandona R, Dandona L, Das S, Dascalu AM, Dash NR, Dashti M, Dávila-Cervantes CA, De la Cruz-Góngora V, Debele GR, Delpasand K, Demisse FW, Demissie GD, Deng X, Denova-Gutiérrez E, Deo SV, Dervišević E, Desai HD, Desale AT, Dessie AM, Desta F, Dewan SMR, Dey S, Dhama K, Dhimal M, Diao N, Diaz D, Dinu M, Diress M, Djalalinia S, Doan LP, Dongarwar D, dos Santos Figueiredo FW, Duncan BB, Dutta S, Dziedzic AM, Edinur HA, Ekholuenetale M, Ekundayo TC, Elgendy IY, Elhadi M, El-Huneidi W, Elmeligy OAA, Elmonem MA, Endeshaw D, Esayas HL, Eshetu HB, Etaee F, Fadhil I, Fagbamigbe AF, Fahim A, Falahi S, Faris MEM, Farrokhpour H, Farzadfar F, Fatehizadeh A, Fazli G, Feng X, Ferede TY, Fischer F, Flood D, Forouhari A, Foroumadi R, Foroutan Koudehi M, Gaidhane AM, Gaihre S, Gaipov A, Galali Y, Ganesan B, Garcia-Gordillo MA, Gautam RK, Gebrehiwot M, Gebrekidan KG, Gebremeskel TG, Getacher L, Ghadirian F, Ghamari SH, Ghasemi Nour M, Ghassemi F, Golechha M, Goleij P, Golinelli D, Gopalani SV, Guadie HA, Guan SY, Gudayu TW, Guimarães RA, Guled RA, Gupta R, Gupta K, Gupta VB, Gupta VK, Gyawali B, Haddadi R, Hadi NR, Haile TG, Hajibeygi R, Haj-Mirzaian A, Halwani R, Hamidi S, Hankey GJ, Hannan MA, Haque S, Harandi H, Harlianto NI, Hasan SMM, Hasan SS, Hasani H, Hassanipour S, Hassen MB, Haubold J, Hayat K, Heidari G, Heidari M, Hessami K, Hiraike Y, Holla R, Hossain S, Hossain MS, Hosseini MS, Hosseinzadeh M, Hosseinzadeh H, Huang J, Huda MN, Hussain S, Huynh HH, Hwang BF, Ibitoye SE, Ikeda N, Ilic IM, Ilic MD, Inbaraj LR, Iqbal A, Islam SMS, Islam RM, Ismail NE, Iso H, Isola G, Itumalla R, Iwagami M, Iwu CCD, Iyamu IO, Iyasu AN, Jacob L, Jafarzadeh A, Jahrami H, Jain R, Jaja C, Jamalpoor Z, Jamshidi E, Janakiraman B, Jayanna K, Jayapal SK, Jayaram S, Jayawardena R, Jebai R, Jeong W, Jin Y, Jokar M, Jonas JB, Joseph N, Joseph A, Joshua CE, Joukar F, Jozwiak JJ, Kaambwa B, Kabir A, Kabthymer RH, Kadashetti V, Kahe F, Kalhor R, Kandel H, Karanth SD, Karaye IM, Karkhah S, Katoto PDMC, Kaur N, Kazemian S, Kebede SA, Khader YS, Khajuria H, Khalaji A, Khan MAB, Khan M, Khan A, Khanal S, Khatatbeh MM, Khater AM, Khateri S, khorashadizadeh F, Khubchandani J, Kibret BG, Kim MS, Kimokoti RW, Kisa A, Kivimäki M, Kolahi AA, Komaki S, Kompani F, Koohestani HR, Korzh O, Kostev K, Kothari N, Koyanagi A, Krishan K, Krishnamoorthy Y, Kuate Defo B, Kuddus M, Kuddus MA, Kumar R, Kumar H, Kundu S, Kurniasari MD, Kuttikkattu A, La Vecchia C, Lallukka T, Larijani B, Larsson AO, Latief K, Lawal BK, Le TTT, Le TTB, Lee SWH, Lee M, Lee WC, Lee PH, Lee SW, Lee SW, Legesse SM, Lenzi J, Li Y, Li MC, Lim SS, Lim LL, Liu X, Liu C, Lo CH, Lopes G, Lorkowski S, Lozano R, Lucchetti G, Maghazachi AA, Mahasha PW, Mahjoub S, Mahmoud MA, Mahmoudi R, Mahmoudimanesh M, Mai AT, Majeed A, Majma Sanaye P, Makris KC, Malhotra K, Malik AA, Malik I, Mallhi TH, Malta DC, Mamun AA, Mansouri B, Marateb HR, Mardi P, Martini S, Martorell M, Marzo RR, Masoudi R, Masoudi S, Mathews E, Maugeri A, Mazzaglia G, Mekonnen T, Meshkat M, Mestrovic T, Miao Jonasson J, Miazgowski T, Michalek IM, Minh LHN, Mini GK, Miranda JJ, Mirfakhraie R, Mirrakhimov EM, Mirza-Aghazadeh-Attari M, Misganaw A, Misgina KH, Mishra M, Moazen B, Mohamed NS, Mohammadi E, Mohammadi M, Mohammadian-Hafshejani A, Mohammadshahi M, Mohseni A, Mojiri-forushani H, Mokdad AH, Momtazmanesh S, Monasta L, Moniruzzaman M, Mons U, Montazeri F, Moodi Ghalibaf A, Moradi Y, Moradi M, Moradi Sarabi M, Morovatdar N, Morrison SD, Morze J, Mossialos E, Mostafavi E, Mueller UO, Mulita F, Mulita A, Murillo-Zamora E, Musa KI, Mwita JC, Nagaraju SP, Naghavi M, Nainu F, Nair TS, Najmuldeen HHR, Nangia V, Nargus S, Naser AY, Nassereldine H, Natto ZS, Nauman J, Nayak BP, Ndejjo R, Negash H, Negoi RI, Nguyen HTH, Nguyen DH, Nguyen PT, Nguyen VT, Nguyen HQ, Niazi RK, Nigatu YT, Ningrum DNA, Nizam MA, Nnyanzi LA, Noreen M, Noubiap JJ, Nzoputam OJ, Nzoputam CI, Oancea B, Odogwu NM, Odukoya OO, Ojha VA, Okati-Aliabad H, Okekunle AP, Okonji OC, Okwute PG, Olufadewa II, Onwujekwe OE, Ordak M, Ortiz A, Osuagwu UL, Oulhaj A, Owolabi MO, Padron-Monedero A, Padubidri JR, Palladino R, Panagiotakos D, Panda-Jonas S, Pandey A, Pandey A, Pandi-Perumal SR, Pantea Stoian AM, Pardhan S, Parekh T, Parekh U, Pasovic M, Patel J, Patel JR, Paudel U, Pepito VCF, Pereira M, Perico N, Perna S, Petcu IR, Petermann-Rocha FE, Podder V, Postma MJ, Pourali G, Pourtaheri N, Prates EJS, Qadir MMF, Qattea I, Raee P, Rafique I, Rahimi M, Rahimifard M, Rahimi-Movaghar V, Rahman MO, Rahman MA, Rahman MHU, Rahman M, Rahman MM, Rahmani M, Rahmani S, Rahmanian V, Rahmawaty S, Rahnavard N, Rajbhandari B, Ram P, Ramazanu S, Rana J, Rancic N, Ranjha MMAN, Rao CR, Rapaka D, Rasali DP, Rashedi S, Rashedi V, Rashid AM, Rashidi MM, Ratan ZA, Rawaf S, Rawal L, Redwan EMM, Remuzzi G, Rengasamy KRR, Renzaho AMN, Reyes LF, Rezaei N, Rezaei N, Rezaeian M, Rezazadeh H, Riahi SM, Rias YA, Riaz M, Ribeiro D, Rodrigues M, Rodriguez JAB, Roever L, Rohloff P, Roshandel G, Roustazadeh A, Rwegerera GM, Saad AMA, Saber-Ayad MM, Sabour S, Sabzmakan L, Saddik B, Sadeghi E, Saeed U, Saeedi Moghaddam S, Safi S, Safi SZ, Saghazadeh A, Saheb Sharif-Askari N, Saheb Sharif-Askari F, Sahebkar A, Sahoo SS, Sahoo H, Saif-Ur-Rahman KM, Sajid MR, Salahi S, Salahi S, Saleh MA, Salehi MA, Salomon JA, Sanabria J, Sanjeev RK, Sanmarchi F, Santric-Milicevic MM, Sarasmita MA, Sargazi S, Sathian B, Sathish T, Sawhney M, Schlaich MP, Schmidt MI, Schuermans A, Seidu AA, Senthil Kumar N, Sepanlou SG, Sethi Y, Seylani A, Shabany M, Shafaghat T, Shafeghat M, Shafie M, Shah NS, Shahid S, Shaikh MA, Shanawaz M, Shannawaz M, Sharfaei S, Shashamo BB, Shiri R, Shittu A, Shivakumar KM, Shivalli S, Shobeiri P, Shokri F, Shuval K, Sibhat MM, Silva LMLR, Simpson CR, Singh JA, Singh P, Singh S, Siraj MS, Skryabina AA, Sohag AAM, Soleimani H, Solikhah S, Soltani-Zangbar MS, Somayaji R, Sorensen RJD, Starodubova AV, Sujata S, Suleman M, Sun J, Sundström J, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabaeizadeh SA, Tabish M, Taheri M, Taheri E, Taki E, Tamuzi JJLL, Tan KK, Tat NY, Taye BT, Temesgen WA, Temsah MH, Tesler R, Thangaraju P, Thankappan KR, Thapa R, Tharwat S, Thomas N, Ticoalu JHV, Tiyuri A, Tonelli M, Tovani-Palone MR, Trico D, Trihandini I, Tripathy JP, Tromans SJ, Tsegay GM, Tualeka AR, Tufa DG, Tyrovolas S, Ullah S, Upadhyay E, Vahabi SM, Vaithinathan AG, Valizadeh R, van Daalen KR, Vart P, Varthya SB, Vasankari TJ, Vaziri S, Verma MV, Verras GI, Vo DC, Wagaye B, Waheed Y, Wang Z, Wang Y, Wang C, Wang F, Wassie GT, Wei MYW, Weldemariam AH, Westerman R, Wickramasinghe ND, Wu Y, Wulandari RDWI, Xia J, Xiao H, Xu S, Xu X, Yada DY, Yang L, Yatsuya H, Yesiltepe M, Yi S, Yohannis HK, Yonemoto N, You Y, Zaman SB, Zamora N, Zare I, Zarea K, Zarrintan A, Zastrozhin MS, Zeru NG, Zhang ZJ, Zhong C, Zhou J, Zielińska M, Zikarg YT, Zodpey S, Zoladl M, Zou Z, Zumla A, Zuniga YMH, Magliano DJ, Murray CJL, Hay SI, Vos T. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2023; 402:203-234. [PMID: 37356446 PMCID: PMC10364581 DOI: 10.1016/s0140-6736(23)01301-6] [Citation(s) in RCA: 250] [Impact Index Per Article: 250.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
BACKGROUND Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. METHODS Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. FINDINGS In 2021, there were 529 million (95% uncertainty interval [UI] 500-564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8-6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7-9·9]) and, at the regional level, in Oceania (12·3% [11·5-13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1-79·5) in individuals aged 75-79 years. Total diabetes prevalence-especially among older adults-primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1-96·8) of diabetes cases and 95·4% (94·9-95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5-71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5-30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22-1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1-17·6) in north Africa and the Middle East and 11·3% (10·8-11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. INTERPRETATION Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disease course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers. FUNDING Bill & Melinda Gates Foundation.
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Chung SC, Lai A, Lip GYH, Lambiase PD, Providencia R. Impact of anti-arrhythmic drugs and catheter ablation on the survival of patients with atrial fibrillation: a population study based on 199 433 new-onset atrial fibrillation patients in the UK. Europace 2023; 25:351-359. [PMID: 36106534 PMCID: PMC10103560 DOI: 10.1093/europace/euac155] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 08/19/2022] [Indexed: 11/14/2022] Open
Abstract
AIMS Utilizing real-world UK data, we aimed to understand: (i) whether anti-arrhythmic drugs and catheter ablation are effective in improving the survival of atrial fibrillation (AF) patients and (ii) which rhythm control option produces better results for the whole AF population and for specific groups of patients, stratified by age, sex, and history of heart failure. METHODS AND RESULTS We identified 199 433 individuals (mean age at diagnosis 75.7 ± 12.7 years; 50.2% women) with new-onset AF diagnosis in nationwide electronic health records linking primary care consultation with hospital data and death registry data from 1998 to 2016. We investigated the survival and causes of death of new-onset AF patients receiving vs. not-receiving rhythm control therapies. During a median follow-up of 2.7 (0.7-6.0) years, we observed a significantly lower mortality in patients receiving rhythm control [multivariate-adjusted hazard ratio (HR) = 0.86, 95% confidence interval (CI) 0.84-0.88]. Pulmonary vein isolation was associated with a two-third significant mortality reduction compared with no rhythm control (HR = 0.36, 95% CI 0.28-0.48), flecainide with 50% reduction (HR = 0.52, 95% CI 0.48-0.57), and propafenone and sotalol with reduction by a third (HR = 0.63, 95% CI 0.50-0.81, 0.71, 95% CI 0.68-0.74, respectively). Amiodarone showed no survival benefit in individuals <70 years (HR = 0.99, 95% CI 0.97-1.02). Otherwise, the effect of rhythm control on survival did not differ by age, sex, nor history of heart failure. CONCLUSION Among individuals with new-onset AF, favourable survival was observed for patients receiving rhythm control treatment. Among different rhythm control strategies, pulmonary vein isolation showed the most pronounced survival benefit.
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Affiliation(s)
- Sheng-Chia Chung
- UCL Institute of Health Informatics Research, University College London, 222 Euston Rd, London NW1 2DA, UK
| | - Alvina Lai
- UCL Institute of Health Informatics Research, University College London, 222 Euston Rd, London NW1 2DA, UK
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, UK.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Pier D Lambiase
- UCL Institute of Cardiovascular Science University College London, London, UK.,St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
| | - Rui Providencia
- UCL Institute of Health Informatics Research, University College London, 222 Euston Rd, London NW1 2DA, UK.,St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
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Frostad JJ, Nguyen QP, Baumann MM, Blacker BF, Marczak LB, Deshpande A, Wiens KE, LeGrand KE, Johnson KB, Abbasi-Kangevari M, Abdoli A, Abolhassani H, Abreu LG, Abrigo MRM, Abu-Rmeileh NME, Adekanmbi V, Agrawal A, Ahmed MB, Al-Aly Z, Alanezi FM, Alcalde-Rabanal JE, Alipour V, Altirkawi KA, Alvis-Guzman N, Alvis-Zakzuk NJ, Amegah AK, Amini S, Amiri F, Amugsi DA, Ancuceanu R, Andrei CL, Andrei T, Antriyandarti E, Anvari D, Arabloo J, Arab-Zozani M, Athari SS, Ausloos M, Ayano G, Aynalem YA, Azari S, Badiye AD, Baig AA, Balakrishnan K, Banach M, Basu S, Bedi N, Bell ML, Bennett DA, Bhattacharyya K, Bhutta ZA, Bibi S, Bohlouli S, Boufous S, Bragazzi NL, Braithwaite D, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Car J, Cárdenas R, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Cerin E, Chattu SK, Chattu VK, Chaturvedi P, Chaturvedi S, Chen S, Chu DT, Chung SC, Dahlawi SMA, Damiani G, Dandona L, Dandona R, Darwesh AM, Das JK, Dash AP, Dávila-Cervantes CA, De Leo D, De Neve JW, Demissie GD, Denova-Gutiérrez E, Dey S, Dharmaratne SD, Dhimal M, Dhungana GP, Diaz D, Dipeolu IO, Dorostkar F, Doshmangir L, Duraes AR, Edinur HA, Efendi F, El Tantawi M, Eskandarieh S, Fadhil I, Fattahi N, Fauk NK, Fereshtehnejad SM, Folayan MO, Foroutan M, Fukumoto T, Gaidhane AM, Ghafourifard M, Ghashghaee A, Gilani SA, Gill TK, Goulart AC, Goulart BNG, Grada A, Gubari MIM, Guido D, Guo Y, Gupta RD, Gupta R, Gutiérrez RA, Hafezi-Nejad N, Hamadeh RR, Hasaballah AI, Hassanipour S, Hayat K, Heibati B, Heidari-Soureshjani R, Henry NJ, Herteliu C, Hosseinzadeh M, Hsairi M, Hu G, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Irvani SSN, Islam SMS, Iwu CCD, Jaafari J, Jakovljevic M, Javaheri T, Jha RP, Ji JS, Jonas JB, Kabir A, Kabir Z, Kalhor R, Kamyari N, Kanchan T, Kapil U, Kapoor N, Kayode GA, Keiyoro PN, Khader YS, Khalid N, Khan EA, Khan M, Khan MN, Khatab K, Khater MM, Khatib MN, Khayamzadeh M, Khubchandani J, Kim GR, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Knibbs LD, Koul PA, Koyanagi A, Krishan K, Kumar GA, Kumar M, Kusuma D, La Vecchia C, Lacey B, Lami FH, Lan Q, Lasrado S, Lauriola P, Lee PH, Lewycka S, Li S, Machado DB, Mahasha PW, Maheri M, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mansouri B, Mansournia MA, Martinez NM, Martini S, Martins-Melo FR, Mayala BK, Mehndiratta MM, Mendoza W, Menezes RG, Mengesha EW, Meretoja TJ, Mestrovic T, Michalek IM, Mirrakhimov EM, Mirzaei M, Mirzaei R, Moazen B, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Monasta L, Moradi-Lakeh M, Moraga P, Morawska L, Mosapour A, Mouodi S, Mousavi Khaneghah A, Mukhopadhyay S, Munro SB, Murray CJL, Nagarajan AJ, Naghavi M, Nair S, Nangia V, Nascimento BR, Nazari J, Negoi I, Netsere HB, Ngunjiri JW, Nguyen HLT, Noubiap JJ, Oancea B, Ogbo FA, Oh IH, Olagunju AT, Olusanya BO, Olusanya JO, Omar Bali A, Onwujekwe OE, Otstavnov N, Otstavnov SS, Owolabi MO, P A M, Pandey A, Park EC, Park EK, Patel SK, Pham HQ, Pilgrim T, Pirsaheb M, Pokhrel KN, Postma MJ, Quazi Syed Z, Rabiee N, Radfar A, Rahim F, Rahman MHU, Rahman MA, Rahmani AM, Ranabhat CL, Rao SJ, Rasella D, Rastogi P, Rath GK, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Renzaho AMN, Reshmi B, Rezaei N, Rezaei N, Rezapour A, Rickard J, Roever L, Ronfani L, Rostamian M, Rubagotti E, Rwegerera GM, Saddik B, Sadeghi E, Saeedi Moghaddam S, Sagar R, Sahebkar A, Sahiledengle B, Salem MR, Samy AM, Santric-Milicevic MM, Saraswathy SYI, Sathian B, Sathish T, Schwebel DC, Sepanlou SG, Shahabi S, Shaheen AA, Shahid I, Shaikh MA, Shalash AS, Shams-Beyranvand M, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shetty RS, Shiferaw WS, Shigematsu M, Shin JI, Shivakumar KM, Siabani S, Siddiqi TJ, Singh BB, Singh JA, Sintayehu Y, Sorrie MB, Soyiri IN, Spurlock EE, Sreeramareddy CT, Stockfelt L, Sufiyan MB, Suliankatchi Abdulkader R, Tabarés-Seisdedos R, Tabuchi T, Taherkhani A, Temsah MH, Thankappan KR, Tovani-Palone MR, Traini E, Ullah S, Unnikrishnan B, Upadhyay E, Valadan Tahbaz S, Varughese S, Violante FS, Vo B, Vu GT, Waheed Y, Wang YP, Welgan CA, Werdecker A, Yahyazadeh Jabbari SH, Yaya S, Yazdi-Feyzabadi V, Yilma MT, Yonemoto N, Younis MZ, Yousefinezhadi T, Yu C, Yu Y, Zaman SB, Zhang Y, Zhang ZJ, Brauer M, Hay SI, Reiner RC. Mapping development and health effects of cooking with solid fuels in low-income and middle-income countries, 2000-18: a geospatial modelling study. Lancet Glob Health 2022; 10:e1395-e1411. [PMID: 36113526 PMCID: PMC9638039 DOI: 10.1016/s2214-109x(22)00332-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 06/17/2022] [Accepted: 07/21/2022] [Indexed: 01/03/2023]
Abstract
BACKGROUND More than 3 billion people do not have access to clean energy and primarily use solid fuels to cook. Use of solid fuels generates household air pollution, which was associated with more than 2 million deaths in 2019. Although local patterns in cooking vary systematically, subnational trends in use of solid fuels have yet to be comprehensively analysed. We estimated the prevalence of solid-fuel use with high spatial resolution to explore subnational inequalities, assess local progress, and assess the effects on health in low-income and middle-income countries (LMICs) without universal access to clean fuels. METHODS We did a geospatial modelling study to map the prevalence of solid-fuel use for cooking at a 5 km × 5 km resolution in 98 LMICs based on 2·1 million household observations of the primary cooking fuel used from 663 population-based household surveys over the years 2000 to 2018. We use observed temporal patterns to forecast household air pollution in 2030 and to assess the probability of attaining the Sustainable Development Goal (SDG) target indicator for clean cooking. We aligned our estimates of household air pollution to geospatial estimates of ambient air pollution to establish the risk transition occurring in LMICs. Finally, we quantified the effect of residual primary solid-fuel use for cooking on child health by doing a counterfactual risk assessment to estimate the proportion of deaths from lower respiratory tract infections in children younger than 5 years that could be associated with household air pollution. FINDINGS Although primary reliance on solid-fuel use for cooking has declined globally, it remains widespread. 593 million people live in districts where the prevalence of solid-fuel use for cooking exceeds 95%. 66% of people in LMICs live in districts that are not on track to meet the SDG target for universal access to clean energy by 2030. Household air pollution continues to be a major contributor to particulate exposure in LMICs, and rising ambient air pollution is undermining potential gains from reductions in the prevalence of solid-fuel use for cooking in many countries. We estimated that, in 2018, 205 000 (95% uncertainty interval 147 000-257 000) children younger than 5 years died from lower respiratory tract infections that could be attributed to household air pollution. INTERPRETATION Efforts to accelerate the adoption of clean cooking fuels need to be substantially increased and recalibrated to account for subnational inequalities, because there are substantial opportunities to improve air quality and avert child mortality associated with household air pollution. FUNDING Bill & Melinda Gates Foundation.
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Chung SC, Mueller S, Green K, Chang WH, Hargrave D, Lai AG. Multimorbidity patterns and risk of hospitalisation in children: A population cohort study of 3.6 million children in England, with illustrative examples from childhood cancer survivors. Lancet Reg Health Eur 2022; 20:100433. [PMID: 35799614 PMCID: PMC9253994 DOI: 10.1016/j.lanepe.2022.100433] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background Population-level estimates of hospitalisation risk in children are currently limited. The study aims to characterise morbidity patterns in all children, focusing on childhood cancer survivors versus children without cancer. Methods Employing hospital records of children aged <19 years between 1997 to 2018 in England, we characterised morbidity patterns in childhood cancer survivors compared with children without cancer. The follow-up began on the 5th anniversary of the index hospitalisation and the primary outcome was the incidence of comorbidities. Findings We identified 3,559,439 eligible participants having 12,740,666 hospital admissions, with a mean age at study entry of 11.2 years. We identified 32,221 patients who survived for at least 5 years since their initial cancer diagnosis. During the follow-up period and within the whole population of 3.6 million children, the leading conditions for admission were (i) metabolic, endocrine, digestive renal and genitourinary conditions (84,749, 2.5%), (ii) neurological (35,833, 1.0%) and (iii) musculoskeletal or skin conditions (23,574, 0.7%), fever, acute respiratory and sepsis (22,604, 0.7%). Stratified analyses revealed that females and children from socioeconomically deprived areas had a higher cumulative incidence for morbidities requiring hospitalisation (p < 0.001). At baseline (5 years after the initial cancer diagnosis or initial hospitalisation for survivors and population comparisons, respectively), cancer survivors experienced a higher prevalence of individual conditions and multimorbidity (≥ 2 morbidities) compared with children without cancer. Cox regression analyses showed that survivors had at least a 4-fold increase in the risk of hospitalisation for conditions such as chronic eye conditions (hazard ration (HR):4.0, 95% confidence interval (CI): 3.5-4.7), fever requiring hospitalisation (HR: 4.4, 95% CI: 3.8-5.0), subsequent neoplasms (HR: 5.7, 95% CI:5.0-6.5), immunological disorders (HR: 6.5, 95% CI:4.5-9.3) and metabolic conditions (HR: 7.1, 95% CI:5.9-8.5). Interpretation The overall morbidity burden among children was low in general; however, childhood cancer survivors experienced a higher prevalence and subsequent risk of hospitalisation for a range of morbidities. Targeted policies may be required to promote awareness on health vulnerabilities and gender disparity and to improve advocacy for healthcare in deprived communities. Funding Wellcome Trust, National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre, NIHR Great Ormond Street Hospital Biomedical Research Centre and Academy of Medical Sciences. The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.
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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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Sheena BS, Hiebert L, Han H, Ippolito H, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abbastabar H, Abdoli A, Abubaker Ali H, Adane MM, Adegboye OA, Adnani QES, Advani SM, Afzal MS, Afzal S, Aghaie Meybodi M, Ahadinezhad B, Ahinkorah BO, Ahmad S, Ahmad T, Ahmadi S, Ahmed H, Ahmed MB, Ahmed Rashid T, Akalu GT, Aklilu A, Akram T, Al Hamad H, Alahdab F, Alem AZ, Alem DT, Alhalaiqa FAN, Alhassan RK, Ali L, Ali MA, Alimohamadi Y, Alipour V, Alkhayyat M, Almustanyir S, Al-Raddadi RM, Altawalah H, Amini S, Amu H, Ancuceanu R, Andrei CL, Andrei T, Anoushiravani A, Ansar A, Anyasodor AE, Arabloo J, Arab-Zozani M, Argaw AM, Argaw ZG, Arshad M, Artamonov AA, Ashraf T, Atlaw D, Ausloos F, Ausloos M, Azadnajafabad S, Azangou-Khyavy M, Azari Jafari A, Azarian G, Bagheri S, Bahadory S, Baig AA, Banach M, Barati N, Barrow A, Batiha AMM, Bejarano Ramirez DF, Belgaumi UI, Berhie AY, Bhagat DS, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bhojaraja VS, Bijani A, Biondi A, Bodicha BBA, Bojia HA, Boloor A, Bosetti C, Braithwaite D, Briko NI, Butt ZA, Cámera LA, Chakinala RC, Chakraborty PA, Charan J, Chen S, Choi JYJ, Choudhari SG, Chowdhury FR, Chu DT, Chung SC, Cortesi PA, Cowie BC, Culbreth GT, Dadras O, Dai X, Dandona L, Dandona R, De la Hoz FP, Debela SA, Dedefo MG, Demeke FM, Demie TGG, Demissie GD, Derbew Molla M, Desta AA, Dhamnetiya D, Dhimal ML, Dhimal M, Didehdar M, Doan LP, Dorostkar F, Drake TM, Eghbalian F, Ekholuenetale M, El Sayed I, El Sayed Zaki M, Elhadi M, Elmonem MA, Elsharkawy A, Enany S, Enyew DB, Erkhembayar R, Eskandarieh S, Esmaeilzadeh F, Ezzikouri S, Farrokhpour H, Fetensa G, Fischer F, Foroutan M, Gad MM, Gaidhane AM, Gaidhane S, Galles NC, Gallus S, Gebremeskel TG, Gebreyohannes EAA, Ghadiri K, Ghaffari K, Ghafourifard M, Ghamari SH, Ghashghaee A, Gholami A, Gholizadeh A, Gilani A, Goel A, Golechha M, Goleij P, Golinelli D, Gorini G, Goshu YA, Griswold MG, Gubari MIM, Gupta B, Gupta S, Gupta VB, Gupta VK, Haddadi R, Halwani R, Hamid SS, Hamidi S, Hanif A, Haque S, Harapan H, Hargono A, Hariri S, Hasaballah AI, Hasan SMM, Hassanipour S, Hassankhani H, Hay SI, Hayat K, Heidari G, Herteliu C, Heyi DZ, Hezam K, Holla R, Hosseini MS, Hosseini M, Hosseinzadeh M, Hostiuc M, Househ M, Huang J, Hussein NR, Iavicoli I, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Irham LM, Islam JY, Ismail NE, Jacobsen KH, Jadidi-Niaragh F, Javadi Mamaghani A, Jayaram S, Jayawardena R, Jebai R, Jha RP, Joseph N, Joukar F, Kaambwa B, Kabir A, Kabir Z, Kalhor R, Kandel H, Kanko TKT, Kantar RS, Karaye IM, Kassa BG, Kemp Bohan PM, Keykhaei M, Khader YS, Khajuria H, Khan G, Khan IA, Khan J, Khan MAB, Khanali J, Khater AM, Khatib MN, Khodadost M, Khoja AT, Khosravizadeh O, Khubchandani J, Kim GR, Kim H, Kim MS, Kim YJ, Kocarnik JM, Kolahi AA, Koteeswaran R, Kumar GA, La Vecchia C, Lal DK, Landires I, Lasrado S, Lazarus JV, Ledda C, Lee DW, Lee SW, Lee YY, Levi M, Li J, Lim SS, Lobo SW, Lopukhov PD, Loureiro JA, MacLachlan JH, Magdy Abd El Razek H, Magdy Abd El Razek M, Majeed A, Makki A, Malekpour MR, Malekzadeh R, Malik AA, Mansour-Ghanaei F, Mansournia MA, Martins-Melo FR, Matthews PC, Mendoza W, Menezes RG, Meretoja TJ, Mersha AG, Mestrovic T, Miller TR, Minh LHN, Mirica A, Mirmoeeni S, Mirrakhimov EM, Misra S, Mithra P, Moazen B, Mohamadkhani A, Mohammadi M, Mohammed S, Moka N, Mokdad AH, Moludi J, Momtazmanesh S, Monasta L, Moradi G, Moradzadeh M, Moradzadeh R, Moraga P, Mostafavi E, Mubarik S, Muniyandi M, Murray CJL, Naghavi M, Naimzada MD, Narasimha Swamy S, Natto ZS, Nayak BP, Nazari J, Negoi I, Negru SM, Nejadghaderi SA, Neupane Kandel S, Nguyen HLT, Ngwa CH, Niazi RK, Nnaji CA, Noubiap JJ, Nowroozi A, Nuñez-Samudio V, Oancea B, Ochir C, Odukoya OO, Oh IH, Olagunju AT, Olakunde BO, Omar Bali A, Omer E, Otstavnov SS, Oumer B, Padubidri JR, Pana A, Pandey A, Park EC, Pashazadeh Kan F, Patel UK, Paudel U, Petcu IR, Piracha ZZ, Pollok RCG, Postma MJ, Pourshams A, Poustchi H, Rabiee M, Rabiee N, Rafiei A, Rafiei S, Raghuram PM, Rahman M, Rahmani AM, Rahmawaty S, Rajesh A, Ranasinghe P, Rao CR, Rao SJ, Rashidi M, Rashidi MM, Rawaf DL, Rawaf S, Rawassizadeh R, Rezaei N, Rezapour A, Rezazadeh-Khadem S, Rodriguez JAB, Rwegerera GM, Sabour S, Saddik B, Saeb MR, Saeed U, Sahebkar A, Saif-Ur-Rahman KM, Salahi S, Salimzadeh H, Sampath C, Samy AM, Sanabria J, Sanmarchi F, Santric-Milicevic MM, Sarveazad A, Sathian B, Sawhney M, Seidu AA, Sepanlou SG, Seylani A, Shahabi S, Shaikh MA, Shaker E, Shakhmardanov MZ, Shannawaz M, Shenoy SM, Shetty JK, Shetty PH, Shibuya K, Shin JI, Shobeiri P, Sibhat MM, Singh AD, Singh JA, Singh S, Skryabin VY, Skryabina AA, Sohrabpour AA, Song S, Tabaeian SP, Tadesse EG, Taheri M, Tampa M, Tan KK, Tavakoli A, Tbakhi A, Tefera BN, Tehrani-Banihashemi A, Tesfaw HM, Thapar R, Thavamani A, Tohidast SA, Tollosa DN, Tosti ME, Tovani-Palone MR, Traini E, Tran MTN, Trihandini I, Tusa BS, Ullah I, Vacante M, Valadan Tahbaz S, Valdez PR, Varthya SB, Vo B, Waheed Y, Weldesenbet AB, Woldemariam M, Xu S, Yahyazadeh Jabbari SH, Yaseri M, Yeshaw Y, Yiğit V, Yirdaw BW, Yonemoto N, Yu C, Yunusa I, Zahir M, Zaki L, Zamani M, Zamanian M, Zastrozhin MS, Vos T, Ward JW, Dirac MA. Global, regional, and national burden of hepatitis B, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Gastroenterol Hepatol 2022; 7:796-829. [PMID: 35738290 PMCID: PMC9349325 DOI: 10.1016/s2468-1253(22)00124-8] [Citation(s) in RCA: 176] [Impact Index Per Article: 88.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 04/02/2022] [Accepted: 04/04/2022] [Indexed: 12/23/2022]
Abstract
Background Combating viral hepatitis is part of the UN Sustainable Development Goals (SDGs), and WHO has put forth hepatitis B elimination targets in its Global Health Sector Strategy on Viral Hepatitis (WHO-GHSS) and Interim Guidance for Country Validation of Viral Hepatitis Elimination (WHO Interim Guidance). We estimated the global, regional, and national prevalence of hepatitis B virus (HBV), as well as mortality and disability-adjusted life-years (DALYs) due to HBV, as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. This included estimates for 194 WHO member states, for which we compared our estimates to WHO elimination targets. Methods The primary data sources were population-based serosurveys, claims and hospital discharges, cancer registries, vital registration systems, and published case series. We estimated chronic HBV infection and the burden of HBV-related diseases, defined as an aggregate of cirrhosis due to hepatitis B, liver cancer due to hepatitis B, and acute hepatitis B. We used DisMod-MR 2.1, a Bayesian mixed-effects meta-regression tool, to estimate the prevalence of chronic HBV infection, cirrhosis, and aetiological proportions of cirrhosis. We used mortality-to-incidence ratios modelled with spatiotemporal Gaussian process regression to estimate the incidence of liver cancer. We used the Cause of Death Ensemble modelling (CODEm) model, a tool that selects models and covariates on the basis of out-of-sample performance, to estimate mortality due to cirrhosis, liver cancer, and acute hepatitis B. Findings In 2019, the estimated global, all-age prevalence of chronic HBV infection was 4·1% (95% uncertainty interval [UI] 3·7 to 4·5), corresponding to 316 million (284 to 351) infected people. There was a 31·3% (29·0 to 33·9) decline in all-age prevalence between 1990 and 2019, with a more marked decline of 76·8% (76·2 to 77·5) in prevalence in children younger than 5 years. HBV-related diseases resulted in 555 000 global deaths (487 000 to 630 000) in 2019. The number of HBV-related deaths increased between 1990 and 2019 (by 5·9% [–5·6 to 19·2]) and between 2015 and 2019 (by 2·9% [–5·9 to 11·3]). By contrast, all-age and age-standardised death rates due to HBV-related diseases decreased during these periods. We compared estimates for 2019 in 194 WHO locations to WHO-GHSS 2020 targets, and found that four countries achieved a 10% reduction in deaths, 15 countries achieved a 30% reduction in new cases, and 147 countries achieved a 1% prevalence in children younger than 5 years. As of 2019, 68 of 194 countries had already achieved the 2030 target proposed in WHO Interim Guidance of an all-age HBV-related death rate of four per 100 000. Interpretation The prevalence of chronic HBV infection declined over time, particularly in children younger than 5 years, since the introduction of hepatitis B vaccination. HBV-related death rates also decreased, but HBV-related death counts increased as a result of population growth, ageing, and cohort effects. By 2019, many countries had met the interim seroprevalence target for children younger than 5 years, but few countries had met the WHO-GHSS interim targets for deaths and new cases. Progress according to all indicators must be accelerated to meet 2030 targets, and there are marked disparities in burden and progress across the world. HBV interventions, such as vaccination, testing, and treatment, must be strategically supported and scaled up to achieve elimination. Funding Bill & Melinda Gates Foundation.
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Chang WH, Mueller SH, Chung SC, Foster GR, Lai AG. Increased burden of cardiovascular disease in people with liver disease: unequal geographical variations, risk factors and excess years of life lost. J Transl Med 2022; 20:2. [PMID: 34980174 PMCID: PMC8722174 DOI: 10.1186/s12967-021-03210-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 12/19/2021] [Indexed: 12/29/2022] Open
Abstract
Background People with liver disease are at increased risk of developing cardiovascular disease (CVD), however, there has yet been an investigation of incidence burden, risk, and premature mortality across a wide range of liver conditions and cardiovascular outcomes. Methods We employed population-wide electronic health records (EHRs; from 1998 to 2020) consisting of almost 4 million adults to assess regional variations in disease burden of five liver conditions, alcoholic liver disease (ALD), autoimmune liver disease, chronic hepatitis B infection (HBV), chronic hepatitis C infection (HCV) and NAFLD, in England. We analysed regional differences in incidence rates for 17 manifestations of CVD in people with or without liver disease. The associations between biomarkers and comorbidities and risk of CVD in patients with liver disease were estimated using Cox models. For each liver condition, we estimated excess years of life lost (YLL) attributable to CVD (i.e., difference in YLL between people with or without CVD). Results The age-standardised incidence rate for any liver disease was 114.5 per 100,000 person years. The highest incidence was observed in NAFLD (85.5), followed by ALD (24.7), HCV (6.0), HBV (4.1) and autoimmune liver disease (3.7). Regionally, the North West and North East regions consistently exhibited high incidence burden. Age-specific incidence rate analyses revealed that the peak incidence for liver disease of non-viral aetiology is reached in individuals aged 50–59 years. Patients with liver disease had a two-fold higher incidence burden of CVD (2634.6 per 100,000 persons) compared to individuals without liver disease (1339.7 per 100,000 persons). When comparing across liver diseases, atrial fibrillation was the most common initial CVD presentation while hypertrophic cardiomyopathy was the least common. We noted strong positive associations between body mass index and current smoking and risk of CVD. Patients who also had diabetes, hypertension, proteinuric kidney disease, chronic kidney disease, diverticular disease and gastro-oesophageal reflex disorders had a higher risk of CVD, as do patients with low albumin, raised C-reactive protein and raised International Normalized Ratio levels. All types of CVD were associated with shorter life expectancies. When evaluating excess YLLs by age of CVD onset and by liver disease type, differences in YLLs, when comparing across CVD types, were more pronounced at younger ages. Conclusions We developed a public online app (https://lailab.shinyapps.io/cvd_in_liver_disease/) to showcase results interactively. We provide a blueprint that revealed previously underappreciated clinical factors related to the risk of CVD, which differed in the magnitude of effects across liver diseases. We found significant geographical variations in the burden of liver disease and CVD, highlighting the need to devise local solutions. Targeted policies and regional initiatives addressing underserved communities might help improve equity of access to CVD screening and treatment. Supplementary Information The online version contains supplementary material available at 10.1186/s12967-021-03210-9.
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Affiliation(s)
- Wai Hoong Chang
- Institute of Health Informatics, University College London, London, UK
| | | | - Sheng-Chia Chung
- Institute of Health Informatics, University College London, London, UK
| | - Graham R Foster
- Barts Liver Centre, Blizard Institute, Queen Mary University of London, London, UK
| | - Alvina G Lai
- Institute of Health Informatics, University College London, London, UK.
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Ward JL, Azzopardi PS, Francis KL, Santelli JS, Skirbekk V, Sawyer SM, Kassebaum NJ, Mokdad AH, Hay SI, Abd-Allah F, Abdoli A, Abdollahi M, Abedi A, Abolhassani H, Abreu LG, Abrigo MRM, Abu-Gharbieh E, Abushouk AI, Adebayo OM, Adekanmbi V, Adham D, Advani SM, Afshari K, Agrawal A, Ahmad T, Ahmadi K, Ahmed AE, Aji B, Akombi-Inyang B, Alahdab F, Al-Aly Z, Alam K, Alanezi FM, Alanzi TM, Alcalde-Rabanal JE, Alemu BW, Al-Hajj S, Alhassan RK, Ali S, Alicandro G, Alijanzadeh M, Aljunid SM, Almasi-Hashiani A, Almasri NA, Al-Mekhlafi HM, Alonso J, Al-Raddadi RM, Altirkawi KA, Alvis-Guzman N, Amare AT, Amini S, Aminorroaya A, Amit AML, Amugsi DA, Ancuceanu R, Anderlini D, Andrei CL, Androudi S, Ansari F, Ansari I, Antonio CAT, Anvari D, Anwer R, Appiah SCY, Arabloo J, Arab-Zozani M, Ärnlöv J, Asaad M, Asadi-Aliabadi M, Asadi-Pooya AA, Atout MMW, Ausloos M, Avenyo EK, Avila-Burgos L, Ayala Quintanilla BP, Ayano G, Aynalem YA, Azari S, Azene ZN, Bakhshaei MH, Bakkannavar SM, Banach M, Banik PC, Barboza MA, Barker-Collo SL, Bärnighausen TW, Basu S, Baune BT, Bayati M, Bedi N, Beghi E, Bekuma TT, Bell AW, Bell ML, Benjet C, Bensenor IM, Berhe AK, Berhe K, Berman AE, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bhattarai S, Bhutta ZA, Bijani A, Bikbov B, Biondi A, Birhanu TTM, Biswas RK, Bohlouli S, Bolla SR, Boloor A, Borschmann R, Boufous S, Bragazzi NL, Braithwaite D, Breitborde NJK, Brenner H, Britton GB, Burns RA, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Cámera LA, Campos-Nonato IR, Campuzano Rincon JC, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Catalá-López F, Cerin E, Chandan JS, Chang HY, Chang JC, Charan J, Chattu VK, Chaturvedi S, Choi JYJ, Chowdhury MAK, Christopher DJ, Chu DT, Chung MT, Chung SC, Cicuttini FM, Constantin TV, Costa VM, Dahlawi SMA, Dai H, Dai X, Damiani G, Dandona L, Dandona R, Daneshpajouhnejad P, Darwesh AM, Dávila-Cervantes CA, Davletov K, De la Hoz FP, De Leo D, Dervenis N, Desai R, Desalew A, Deuba K, Dharmaratne SD, Dhungana GP, Dianatinasab M, Dias da Silva D, Diaz D, Didarloo A, Djalalinia S, Dorostkar F, Doshi CP, Doshmangir L, Doyle KE, Duraes AR, Ebrahimi Kalan M, Ebtehaj S, Edvardsson D, El Tantawi M, Elgendy IY, El-Jaafary SI, Elsharkawy A, Eshrati B, Eskandarieh S, Esmaeilnejad S, Esmaeilzadeh F, Esteghamati S, Faro A, Farzadfar F, Fattahi N, Feigin VL, Ferede TY, Fereshtehnejad SM, Fernandes E, Ferrara P, Filip I, Fischer F, Fisher JL, Foigt NA, Folayan MO, Fomenkov AA, Foroutan M, Fukumoto T, Gad MM, Gaidhane AM, Gallus S, Gebre T, Gebremedhin KB, Gebremeskel GG, Gebremeskel L, Gebreslassie AA, Gesesew HA, Ghadiri K, Ghafourifard M, Ghamari F, Ghashghaee A, Gilani SA, Gnedovskaya EV, Godinho MA, Golechha M, Goli S, Gona PN, Gopalani SV, Gorini G, Grivna M, Gubari MIM, Gugnani HC, Guimarães RA, Guo Y, Gupta R, Haagsma JA, Hafezi-Nejad N, Haile TG, Haj-Mirzaian A, Haj-Mirzaian A, Hall BJ, Hamadeh RR, Hamagharib Abdullah K, Hamidi S, Handiso DW, Hanif A, Hankey GJ, Haririan H, Haro JM, Hasaballah AI, Hashi A, Hassan A, Hassanipour S, Hassankhani H, Hayat K, Heidari-Soureshjani R, Herteliu C, Heydarpour F, Ho HC, Hole MK, Holla R, Hoogar P, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsairi M, Huda TM, Humayun A, Hussain R, Hwang BF, Iavicoli I, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Inbaraj LR, Intarut N, Iqbal U, Irvani SSN, Islam MM, Islam SMS, Iso H, Ivers RQ, Jahani MA, Jakovljevic M, Jalali A, Janodia MD, Javaheri T, Jeemon P, Jenabi E, Jha RP, Jha V, Ji JS, Jonas JB, Jones KM, Joukar F, Jozwiak JJ, Juliusson PB, Jürisson M, Kabir A, Kabir Z, Kalankesh LR, Kalhor R, Kamyari N, Kanchan T, Karch A, Karimi SE, Kaur S, Kayode GA, Keiyoro PN, Khalid N, Khammarnia M, Khan M, Khan MN, Khatab K, Khater MM, Khatib MN, Khayamzadeh M, Khazaie H, Khoja AT, Kieling C, Kim YE, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Kivimäki M, Koolivand A, Kosen S, Koyanagi A, Krishan K, Kugbey N, Kumar GA, Kumar M, Kumar N, Kurmi OP, Kusuma D, La Vecchia C, Lacey B, Lal DK, Lalloo R, Lan Q, Landires I, Lansingh VC, Larsson AO, Lasrado S, Lassi ZS, Lauriola P, Lee PH, Lee SWH, Leigh J, Leonardi M, Leung J, Levi M, Lewycka S, Li B, Li MC, Li S, Lim LL, Lim SS, Liu X, Lorkowski S, Lotufo PA, Lunevicius R, Maddison R, Mahasha PW, Mahdavi MM, Mahmoudi M, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mamun AA, Mansouri B, Mansournia MA, Martinez G, Martinez-Raga J, Martins-Melo FR, Mason-Jones AJ, Masoumi SZ, Mathur MR, Maulik PK, McGrath JJ, Mehndiratta MM, Mehri F, Memiah PTN, Mendoza W, Menezes RG, Mengesha EW, Meretoja A, Meretoja TJ, Mestrovic T, Miazgowski B, Miazgowski T, Michalek IM, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Mirzaei H, Mirzaei M, Moazen B, Mohammad DK, Mohammadi S, Mohammadian-Hafshejani A, Mohammadifard N, Mohammadpourhodki R, Mohammed S, Monasta L, Moradi G, Moradi-Lakeh M, Moradzadeh R, Moraga P, Morrison SD, Mosapour A, Mousavi Khaneghah A, Mueller UO, Muriithi MK, Murray CJL, Muthupandian S, Naderi M, Nagarajan AJ, Naghavi M, Naimzada MD, Nangia V, Nayak VC, Nazari J, Ndejjo R, Negoi I, Negoi RI, Netsere HB, Nguefack-Tsague G, Nguyen DN, Nguyen HLT, Nie J, Ningrum DNA, Nnaji CA, Nomura S, Noubiap JJ, Nowak C, Nuñez-Samudio V, Ogbo FA, Oghenetega OB, Oh IH, Oladnabi M, Olagunju AT, Olusanya BO, Olusanya JO, Omar Bali A, Omer MO, Onwujekwe OE, Ortiz A, Otoiu A, Otstavnov N, Otstavnov SS, Øverland S, Owolabi MO, P A M, Padubidri JR, Pakshir K, Palladino R, Pana A, Panda-Jonas S, Pandey A, Panelo CIA, Park EK, Patten SB, Peden AE, Pepito VCF, Peprah EK, Pereira J, Pesudovs K, Pham HQ, Phillips MR, Piradov MA, Pirsaheb M, Postma MJ, Pottoo FH, Pourjafar H, Pourshams A, Prada SI, Pupillo E, Quazi Syed Z, Rabiee MH, Rabiee N, Radfar A, Rafiee A, Raggi A, Rahim F, Rahimi-Movaghar V, Rahman MHU, Rahman MA, Ramezanzadeh K, Ranabhat CL, Rao SJ, Rashedi V, Rastogi P, Rathi P, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Renzaho AMN, Rezaei N, Rezaei N, Rezai MS, Riahi SM, Rickard J, Roever L, Ronfani L, Roth GA, Rubagotti E, Rumisha SF, Rwegerera GM, Sabour S, Sachdev PS, Saddik B, Sadeghi E, Saeedi Moghaddam S, Sagar R, Sahebkar A, Sahraian MA, Sajadi SM, Salem MR, Salimzadeh H, Samy AM, Sanabria J, Santric-Milicevic MM, Saraswathy SYI, Sarrafzadegan N, Sarveazad A, Sathish T, Sattin D, Saxena D, Saxena S, Schiavolin S, Schwebel DC, Schwendicke F, Senthilkumaran S, Sepanlou SG, Sha F, Shafaat O, Shahabi S, Shaheen AA, Shaikh MA, Shakiba S, Shamsi M, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shetty BSK, Shi P, Shigematsu M, Shin JI, Shiri R, Shuval K, Siabani S, Sigfusdottir ID, Sigurvinsdottir R, Silva DAS, Silva JP, Simonetti B, Singh JA, Singh V, Sinke AH, Skryabin VY, Slater H, Smith EUR, Sobhiyeh MR, Sobngwi E, Soheili A, Somefun OD, Sorrie MB, Soyiri IN, Sreeramareddy CT, Stein DJ, Stokes MA, Sudaryanto A, Sultan I, Tabarés-Seisdedos R, Tabuchi T, Tadakamadla SK, Taherkhani A, Tamiru AT, Tareque MI, Thankappan KR, Thapar R, Thomas N, Titova MV, Tonelli M, Tovani-Palone MR, Tran BX, Travillian RS, Tsai AC, Tsatsakis A, Tudor Car L, Uddin R, Unim B, Unnikrishnan B, Upadhyay E, Vacante M, Valadan Tahbaz S, Valdez PR, Varughese S, Vasankari TJ, Venketasubramanian N, Villeneuve PJ, Violante FS, Vlassov V, Vos T, Vu GT, Waheed Y, Wamai RG, Wang Y, Wang Y, Wang YP, Westerman R, Wickramasinghe ND, Wu AM, Wu C, Yahyazadeh Jabbari SH, Yamagishi K, Yano Y, Yaya S, Yazdi-Feyzabadi V, Yeshitila YG, Yip P, Yonemoto N, Yoon SJ, Younis MZ, Yousefinezhadi T, Yu C, Yu Y, Yuce D, Zaidi SS, Zaman SB, Zamani M, Zamanian M, Zarafshan H, Zarei A, Zastrozhin MS, Zhang Y, Zhang ZJ, Zhao XJG, Zhu C, Patton GC, Viner RM. Global, regional, and national mortality among young people aged 10-24 years, 1950-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2021; 398:1593-1618. [PMID: 34755628 PMCID: PMC8576274 DOI: 10.1016/s0140-6736(21)01546-4] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [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: 02/14/2021] [Revised: 05/07/2021] [Accepted: 06/30/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Documentation of patterns and long-term trends in mortality in young people, which reflect huge changes in demographic and social determinants of adolescent health, enables identification of global investment priorities for this age group. We aimed to analyse data on the number of deaths, years of life lost, and mortality rates by sex and age group in people aged 10-24 years in 204 countries and territories from 1950 to 2019 by use of estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. METHODS We report trends in estimated total numbers of deaths and mortality rate per 100 000 population in young people aged 10-24 years by age group (10-14 years, 15-19 years, and 20-24 years) and sex in 204 countries and territories between 1950 and 2019 for all causes, and between 1980 and 2019 by cause of death. We analyse variation in outcomes by region, age group, and sex, and compare annual rate of change in mortality in young people aged 10-24 years with that in children aged 0-9 years from 1990 to 2019. We then analyse the association between mortality in people aged 10-24 years and socioeconomic development using the GBD Socio-demographic Index (SDI), a composite measure based on average national educational attainment in people older than 15 years, total fertility rate in people younger than 25 years, and income per capita. We assess the association between SDI and all-cause mortality in 2019, and analyse the ratio of observed to expected mortality by SDI using the most recent available data release (2017). FINDINGS In 2019 there were 1·49 million deaths (95% uncertainty interval 1·39-1·59) worldwide in people aged 10-24 years, of which 61% occurred in males. 32·7% of all adolescent deaths were due to transport injuries, unintentional injuries, or interpersonal violence and conflict; 32·1% were due to communicable, nutritional, or maternal causes; 27·0% were due to non-communicable diseases; and 8·2% were due to self-harm. Since 1950, deaths in this age group decreased by 30·0% in females and 15·3% in males, and sex-based differences in mortality rate have widened in most regions of the world. Geographical variation has also increased, particularly in people aged 10-14 years. Since 1980, communicable and maternal causes of death have decreased sharply as a proportion of total deaths in most GBD super-regions, but remain some of the most common causes in sub-Saharan Africa and south Asia, where more than half of all adolescent deaths occur. Annual percentage decrease in all-cause mortality rate since 1990 in adolescents aged 15-19 years was 1·3% in males and 1·6% in females, almost half that of males aged 1-4 years (2·4%), and around a third less than in females aged 1-4 years (2·5%). The proportion of global deaths in people aged 0-24 years that occurred in people aged 10-24 years more than doubled between 1950 and 2019, from 9·5% to 21·6%. INTERPRETATION Variation in adolescent mortality between countries and by sex is widening, driven by poor progress in reducing deaths in males and older adolescents. Improving global adolescent mortality will require action to address the specific vulnerabilities of this age group, which are being overlooked. Furthermore, indirect effects of the COVID-19 pandemic are likely to jeopardise efforts to improve health outcomes including mortality in young people aged 10-24 years. There is an urgent need to respond to the changing global burden of adolescent mortality, address inequities where they occur, and improve the availability and quality of primary mortality data in this age group. FUNDING Bill & Melinda Gates Foundation.
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Feigin VL, Stark BA, Johnson CO, Roth GA, Bisignano C, Abady GG, Abbasifard M, Abbasi-Kangevari M, Abd-Allah F, Abedi V, Abualhasan A, Abu-Rmeileh NME, Abushouk AI, Adebayo OM, Agarwal G, Agasthi P, Ahinkorah BO, Ahmad S, Ahmadi S, Ahmed Salih Y, Aji B, Akbarpour S, Akinyemi RO, Al Hamad H, Alahdab F, Alif SM, Alipour V, Aljunid SM, Almustanyir S, Al-Raddadi RM, Al-Shahi Salman R, Alvis-Guzman N, Ancuceanu R, Anderlini D, Anderson JA, Ansar A, Antonazzo IC, Arabloo J, Ärnlöv J, Artanti KD, Aryan Z, Asgari S, Ashraf T, Athar M, Atreya A, Ausloos M, Baig AA, Baltatu OC, Banach M, Barboza MA, Barker-Collo SL, Bärnighausen TW, Barone MTU, Basu S, Bazmandegan G, Beghi E, Beheshti M, Béjot Y, Bell AW, Bennett DA, Bensenor IM, Bezabhe WM, Bezabih YM, Bhagavathula AS, Bhardwaj P, Bhattacharyya K, Bijani A, Bikbov B, Birhanu MM, Boloor A, Bonny A, Brauer M, Brenner H, Bryazka D, Butt ZA, Caetano dos Santos FL, Campos-Nonato IR, Cantu-Brito C, Carrero JJ, Castañeda-Orjuela CA, Catapano AL, Chakraborty PA, Charan J, Choudhari SG, Chowdhury EK, Chu DT, Chung SC, Colozza D, Costa VM, Costanzo S, Criqui MH, Dadras O, Dagnew B, Dai X, Dalal K, Damasceno AAM, D'Amico E, Dandona L, Dandona R, Darega Gela J, Davletov K, De la Cruz-Góngora V, Desai R, Dhamnetiya D, Dharmaratne SD, Dhimal ML, Dhimal M, Diaz D, Dichgans M, Dokova K, Doshi R, Douiri A, Duncan BB, Eftekharzadeh S, Ekholuenetale M, El Nahas N, Elgendy IY, Elhadi M, El-Jaafary SI, Endres M, Endries AY, Erku DA, Faraon EJA, Farooque U, Farzadfar F, Feroze AH, Filip I, Fischer F, Flood D, Gad MM, Gaidhane S, Ghanei Gheshlagh R, Ghashghaee A, Ghith N, Ghozali G, Ghozy S, Gialluisi A, Giampaoli S, Gilani SA, Gill PS, Gnedovskaya EV, Golechha M, Goulart AC, Guo Y, Gupta R, Gupta VB, Gupta VK, Gyanwali P, Hafezi-Nejad N, Hamidi S, Hanif A, Hankey GJ, Hargono A, Hashi A, Hassan TS, Hassen HY, Havmoeller RJ, Hay SI, Hayat K, Hegazy MI, Herteliu C, Holla R, Hostiuc S, Househ M, Huang J, Humayun A, Hwang BF, Iacoviello L, Iavicoli I, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Iqbal U, Irvani SSN, Islam SMS, Ismail NE, Iso H, Isola G, Iwagami M, Jacob L, Jain V, Jang SI, Jayapal SK, Jayaram S, Jayawardena R, Jeemon P, Jha RP, Johnson WD, Jonas JB, Joseph N, Jozwiak JJ, Jürisson M, Kalani R, Kalhor R, Kalkonde Y, Kamath A, Kamiab Z, Kanchan T, Kandel H, Karch A, Katoto PDMC, Kayode GA, Keshavarz P, Khader YS, Khan EA, Khan IA, Khan M, Khan MAB, Khatib MN, Khubchandani J, Kim GR, Kim MS, Kim YJ, Kisa A, Kisa S, Kivimäki M, Kolte D, Koolivand A, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Krishnamoorthy V, Krishnamurthi RV, Kumar GA, Kusuma D, La Vecchia C, Lacey B, Lak HM, Lallukka T, Lasrado S, Lavados PM, Leonardi M, Li B, Li S, Lin H, Lin RT, Liu X, Lo WD, Lorkowski S, Lucchetti G, Lutzky Saute R, Magdy Abd El Razek H, Magnani FG, Mahajan PB, Majeed A, Makki A, Malekzadeh R, Malik AA, Manafi N, Mansournia MA, Mantovani LG, Martini S, Mazzaglia G, Mehndiratta MM, Menezes RG, Meretoja A, Mersha AG, Miao Jonasson J, Miazgowski B, Miazgowski T, Michalek IM, Mirrakhimov EM, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Mokhayeri Y, Molokhia M, Moni MA, Montasir AA, Moradzadeh R, Morawska L, Morze J, Muruet W, Musa KI, Nagarajan AJ, Naghavi M, Narasimha Swamy S, Nascimento BR, Negoi RI, Neupane Kandel S, Nguyen TH, Norrving B, Noubiap JJ, Nwatah VE, Oancea B, Odukoya OO, Olagunju AT, Orru H, Owolabi MO, Padubidri JR, Pana A, Parekh T, Park EC, Pashazadeh Kan F, Pathak M, Peres MFP, Perianayagam A, Pham TM, Piradov MA, Podder V, Polinder S, Postma MJ, Pourshams A, Radfar A, Rafiei A, Raggi A, Rahim F, Rahimi-Movaghar V, Rahman M, Rahman MA, Rahmani AM, Rajai N, Ranasinghe P, Rao CR, Rao SJ, Rathi P, Rawaf DL, Rawaf S, Reitsma MB, Renjith V, Renzaho AMN, Rezapour A, Rodriguez JAB, Roever L, Romoli M, Rynkiewicz A, Sacco S, Sadeghi M, Saeedi Moghaddam S, Sahebkar A, Saif-Ur-Rahman KM, Salah R, Samaei M, Samy AM, Santos IS, Santric-Milicevic MM, Sarrafzadegan N, Sathian B, Sattin D, Schiavolin S, Schlaich MP, Schmidt MI, Schutte AE, Sepanlou SG, Seylani A, Sha F, Shahabi S, Shaikh MA, Shannawaz M, Shawon MSR, Sheikh A, Sheikhbahaei S, Shibuya K, Siabani S, Silva DAS, Singh JA, Singh JK, Skryabin VY, Skryabina AA, Sobaih BH, Stortecky S, Stranges S, Tadesse EG, Tarigan IU, Temsah MH, Teuschl Y, Thrift AG, Tonelli M, Tovani-Palone MR, Tran BX, Tripathi M, Tsegaye GW, Ullah A, Unim B, Unnikrishnan B, Vakilian A, Valadan Tahbaz S, Vasankari TJ, Venketasubramanian N, Vervoort D, Vo B, Volovici V, Vosoughi K, Vu GT, Vu LG, Wafa HA, Waheed Y, Wang Y, Wijeratne T, Winkler AS, Wolfe CDA, Woodward M, Wu JH, Wulf Hanson S, Xu X, Yadav L, Yadollahpour A, Yahyazadeh Jabbari SH, Yamagishi K, Yatsuya H, Yonemoto N, Yu C, Yunusa I, Zaman MS, Zaman SB, Zamanian M, Zand R, Zandifar A, Zastrozhin MS, Zastrozhina A, Zhang Y, Zhang ZJ, Zhong C, Zuniga YMH, Murray CJL. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol 2021; 20:795-820. [PMID: 34487721 PMCID: PMC8443449 DOI: 10.1016/s1474-4422(21)00252-0] [Citation(s) in RCA: 1651] [Impact Index Per Article: 550.3] [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: 03/17/2021] [Revised: 07/01/2021] [Accepted: 07/19/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. METHODS We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. FINDINGS In 2019, there were 12·2 million (95% UI 11·0-13·6) incident cases of stroke, 101 million (93·2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6·55 million (6·00-7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8-12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1-6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0-73·0), prevalent strokes increased by 85·0% (83·0-88·0), deaths from stroke increased by 43·0% (31·0-55·0), and DALYs due to stroke increased by 32·0% (22·0-42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0-18·0), mortality decreased by 36·0% (31·0-42·0), prevalence decreased by 6·0% (5·0-7·0), and DALYs decreased by 36·0% (31·0-42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0-24·0) and incidence rates increased by 15·0% (12·0-18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5-3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5-3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57-8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97-3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01-1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7-90·8] DALYs or 55·5% [48·2-62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3-48·6] DALYs or 24·3% [15·7-33·2]), high fasting plasma glucose (28·9 million [19·8-41·5] DALYs or 20·2% [13·8-29·1]), ambient particulate matter pollution (28·7 million [23·4-33·4] DALYs or 20·1% [16·6-23·0]), and smoking (25·3 million [22·6-28·2] DALYs or 17·6% [16·4-19·0]). INTERPRETATION The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries. FUNDING Bill & Melinda Gates Foundation.
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Chung SC, Sofat R, Acosta-Mena D, Taylor JA, Lambiase PD, Casas JP, Providencia R. Atrial fibrillation epidemiology, disparity and healthcare contacts: a population-wide study of 5.6 million individuals. Lancet Reg Health Eur 2021; 7:100157. [PMID: 34405204 PMCID: PMC8351189 DOI: 10.1016/j.lanepe.2021.100157] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Background: We aimed to evaluate atrial fibrillation occurrence, reasons for healthcare visits, mortality, causes of death and examined patterns by relative deprivation in the UK. Methods: To study the atrial fibrillation (AF) incidence, mortality and case-fatality, we implemented a prospective cohort study with the linked electronic health records of 5.6 million population in the United Kingdom Clinical Practice Research Datalink from 1998 to 2016. A matched case-control study was used to investigate causes of hospitalisation and death comparing individuals with and without incident AF. Results: During a median follow-up of 10.3 years, 199,433(3.6%) patients developed incident AF. Increased risk of hospitalisation for heart failure, cardiovascular conditions and infection was present among patients who later developed AF. Following an AF diagnosis, patients were frequently admitted to the hospital for heart failure, lower respiratory tract infection, chronic obstructive pulmonary disease and ischemic heart disease. One in 5 AF patients died during the first year after diagnosis, and the mortality increased to 42.7% at the fifth year. The excess deaths in AF cases compared to controls may result from cardiovascular diseases, infection and metabolic disorders. Individuals from areas with higher deprivation in socioeconomic and living status had both higher AF incidence and fatality. Interpretation: We observed an elevated risk of hospitalisation for cardiovascular or respiratory diseases among incident AF patients, and the considerable disparity in AF burden by socioeconomic deprivation informs priorities for prevention and provision of patient care. Funding: The study was supported by the GlaxoSmithKline, University College London Hospital and National Institute for Health Research. The funders did not have any role in study design, data collection, data analysis, interpretation, and writing of the report.
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Affiliation(s)
| | | | | | | | | | - Juan P Casas
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Boston, US
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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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Kendrick PJ, Reitsma MB, Abbasi-Kangevari M, Abdoli A, Abdollahi M, Abedi A, Abhilash ES, Aboyans V, Adebayo OM, Advani SM, Ahinkorah BO, Ahmad S, Ahmadi K, Ahmed H, Aji B, Akalu Y, Akunna CJ, Alahdab F, Al-Aly Z, Alanezi FM, Alanzi TM, Alhabib KF, Ali T, Alif SM, Alipour V, Aljunid SM, Alomari MA, Amin TT, Amini S, Amu H, Ancuceanu R, Anderson JA, Andrei CL, Andrei T, Ansari-Moghaddam A, Antony B, Anvari D, Arabloo J, Arian ND, Arora M, Artanti KD, Asmare WN, Atnafu DD, Ausloos M, Awan AT, Ayano G, Aynalem GL, Azari S, B DB, Badiye AD, Baig AA, Banach M, Banerjee SK, Barker-Collo SL, Bärnighausen TW, Barqawi HJ, Basu S, Bayati M, Bazargan-Hejazi S, Bekuma TT, Bennett DA, Bensenor IM, Benzian H, Benziger CP, Berman AE, Bhagavathula AS, Bhala N, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bibi S, Bijani A, Biondi A, Braithwaite D, Brenner H, Brunoni AR, Burkart K, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Car J, Carreras G, Castaldelli-Maia JM, Cattaruzza MSS, Chang JC, Chaturvedi P, Chen S, Chido-Amajuoyi OG, Chu DT, Chung SC, Ciobanu LG, Costa VM, Couto RAS, Dagnew B, Dai X, Damasceno AAM, Damiani G, Dandona L, Dandona R, Daneshpajouhnejad P, Darega Gela J, Derbew Molla M, Desta AA, Dharmaratne SD, Dhimal M, Eagan AW, Ebrahimi Kalan M, Edvardsson K, Effiong A, El Tantawi M, Elbarazi I, Esmaeilnejad S, Fadhil I, Faraon EJA, Farwati M, Farzadfar F, Fazlzadeh M, Feigin VL, Feldman R, Filip I, Filippidis F, Fischer F, Flor LS, Foigt NA, Folayan MO, Foroutan M, Gad MM, Gallus S, Geberemariyam BS, Gebregiorgis BG, Getacher L, Getachew Obsa A, Ghafourifard M, Ghanei Gheshlagh R, Ghashghaee A, Ghith N, Gil GF, Gill PS, Ginawi IA, Goharinezhad S, Golechha M, Gopalani SV, Gorini G, Grivna M, Guha A, Guimarães RA, Guo Y, Gupta RD, Gupta R, Gupta T, Gupta V, Hafezi-Nejad N, Haider MR, Hamadeh RR, Hankey GJ, Hargono A, Hay SI, Heidari G, Herteliu C, Hezam K, Hird TR, Holla R, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsiao T, Huang J, Ibeneme CU, Ibitoye SE, Ilic IM, Ilic MD, Inbaraj LR, Irvani SSN, Islam JY, Islam RM, Islam SMS, Islami F, Iso H, Itumalla R, Jaafari J, Jain V, Jakovljevic M, Jang SI, Jayaram S, Jeemon P, Jha RP, Jonas JB, Jürisson M, Kabir A, Kabir Z, Kalankesh LR, Kanchan T, Kandel H, Kapoor N, Karch A, Karimi SE, Kebede KM, Kelkay B, Kennedy RD, Khader YS, Khan EA, Khayamzadeh M, Kim GR, Kimokoti RW, Kivimäki M, Kosen S, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Kugbey N, Kumar GA, Kumar N, Kurmi OP, Kusuma D, Lacey B, Landires I, Lasrado S, Lauriola P, Lee DW, Lee YH, Leung J, Li S, Lin H, Liu W, Lugo A, Madhava Kunjathur S, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mamun AA, Manjunatha N, Mansouri B, Mansournia MA, Martini S, Mathur MR, Mathur P, Mazidi M, McKee M, Medina-Solís CE, Mehata S, Mendoza W, Menezes RG, Miazgowski B, Michalek IM, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Mirzaei H, Misra S, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moradzadeh R, Morrison SD, Mossie TB, Mubarik S, Mullany EC, Murray CJL, Nagaraju SP, Naghavi M, Naik N, Nalini M, Nangia V, Naqvi AA, Narasimha Swamy S, Naveed M, Nazari J, Nduaguba SO, Negoi RI, Neupane Kandel S, Nguyen HLT, Nigatu YT, Nixon MR, Nnaji CA, Noubiap JJ, Nowak C, Nuñez-Samudio V, Ogbo FA, Oguntade AS, Oh IH, Olagunju AT, Owolabi MO, P A M, Pakshir K, Pana A, Panagiotakos D, Panda-Jonas S, Pandey A, Parekh U, Park EC, Park EK, Pashazadeh Kan F, Pathak M, Pawar S, Pestell RG, Pham HQ, Pinheiro M, Pokhrel KN, Pourshams A, Prashant A, Radfar A, Rahimi-Movaghar V, Rahman MHU, Rahman MA, Rahmani AM, Ram P, Rana J, Ranabhat CL, Rathi P, Rawaf DL, Rawaf S, Rawassizadeh R, Renzaho AMN, Rezapour A, Riaz MA, Roever L, Ronfani L, Roshandel G, Roy A, Roy B, Saddik B, Sahebkar A, Salehi S, Salimzadeh H, Samy AM, Sanabria J, Santric-Milicevic MM, Sao Jose BP, Sathian B, Sawhney M, Saya GK, Schwendicke F, Seidu AA, Senthil Kumar N, Sepanlou SG, Shafaat O, Shah SM, Shaikh MA, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shigematsu M, Shiri R, Shishani K, Shivakumar KM, Shivalli S, Shrestha R, Siabani S, Sidemo NB, Sigfusdottir ID, Sigurvinsdottir R, Silva JP, Singh A, Singh JA, Singh V, Sinha DN, Skryabin VY, Skryabina AA, Soroush A, Soyiri IN, Sreeramareddy CT, Stein DJ, Steiropoulos P, Stortecky S, Straif K, Suliankatchi Abdulkader R, Sulo G, Sundström J, Tabuchi T, Tadesse EG, Tamiru AT, Tareke M, Tareque MI, Tarigan IU, Thakur B, Thankappan KR, Thapar R, Tolani MA, Tovani-Palone MR, Tran BX, Tripathy JP, Tsegaye GW, Tymeson HD, Ullah S, Unim B, Updike RL, Uthman OA, Vacante M, Vardavas C, Venketasubramanian N, Verma M, Vidale S, Vo B, Vu GT, Waheed Y, Wang Y, Welding K, Werdecker A, Whisnant JL, Wickramasinghe ND, Wubishet BL, Yamagishi K, Yano Y, Yazdi-Feyzabadi V, Yeshaw Y, Yimmer MZ, Yonemoto N, Yousefi Z, Yu C, Yunusa I, Yusefzadeh H, Zaman MS, Zamani M, Zamanian M, Zastrozhin MS, Zastrozhina A, Zhang J, Zhang ZJ, Zhong C, Zuniga YMH, Gakidou E. Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet Public Health 2021; 6:e482-e499. [PMID: 34051920 PMCID: PMC8251505 DOI: 10.1016/s2468-2667(21)00065-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [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: 02/11/2021] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Chewing tobacco and other types of smokeless tobacco use have had less attention from the global health community than smoked tobacco use. However, the practice is popular in many parts of the world and has been linked to several adverse health outcomes. Understanding trends in prevalence with age, over time, and by location and sex is important for policy setting and in relation to monitoring and assessing commitment to the WHO Framework Convention on Tobacco Control. METHODS We estimated prevalence of chewing tobacco use as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 using a modelling strategy that used information on multiple types of smokeless tobacco products. We generated a time series of prevalence of chewing tobacco use among individuals aged 15 years and older from 1990 to 2019 in 204 countries and territories, including age-sex specific estimates. We also compared these trends to those of smoked tobacco over the same time period. FINDINGS In 2019, 273·9 million (95% uncertainty interval 258·5 to 290·9) people aged 15 years and older used chewing tobacco, and the global age-standardised prevalence of chewing tobacco use was 4·72% (4·46 to 5·01). 228·2 million (213·6 to 244·7; 83·29% [82·15 to 84·42]) chewing tobacco users lived in the south Asia region. Prevalence among young people aged 15-19 years was over 10% in seven locations in 2019. Although global age-standardised prevalence of smoking tobacco use decreased significantly between 1990 and 2019 (annualised rate of change: -1·21% [-1·26 to -1·16]), similar progress was not observed for chewing tobacco (0·46% [0·13 to 0·79]). Among the 12 highest prevalence countries (Bangladesh, Bhutan, Cambodia, India, Madagascar, Marshall Islands, Myanmar, Nepal, Pakistan, Palau, Sri Lanka, and Yemen), only Yemen had a significant decrease in the prevalence of chewing tobacco use, which was among males between 1990 and 2019 (-0·94% [-1·72 to -0·14]), compared with nine of 12 countries that had significant decreases in the prevalence of smoking tobacco. Among females, none of these 12 countries had significant decreases in prevalence of chewing tobacco use, whereas seven of 12 countries had a significant decrease in the prevalence of tobacco smoking use for the period. INTERPRETATION Chewing tobacco remains a substantial public health problem in several regions of the world, and predominantly in south Asia. We found little change in the prevalence of chewing tobacco use between 1990 and 2019, and that control efforts have had much larger effects on the prevalence of smoking tobacco use than on chewing tobacco use in some countries. Mitigating the health effects of chewing tobacco requires stronger regulations and policies that specifically target use of chewing tobacco, especially in countries with high prevalence. FUNDING Bloomberg Philanthropies and the Bill & Melinda Gates Foundation.
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Chung SC, Marlow S, Tobias N, Alogna A, Alogna I, You SL, Khunti K, McKee M, Michie S, Pillay D. Lessons from countries implementing find, test, trace, isolation and support policies in the rapid response of the COVID-19 pandemic: a systematic review. BMJ Open 2021; 11:e047832. [PMID: 34187854 PMCID: PMC8251680 DOI: 10.1136/bmjopen-2020-047832] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE To systematically learn lessons from the experiences of countries implementing find, test, trace, isolate, support (FTTIS) in the first wave of the COVID-19 pandemic. DESIGN, DATA SOURCES AND ELIGIBILITY CRITERIA We searched MEDLINE (PubMed), Cochrane Library, SCOPUS and JSTOR, initially between 31 May 2019 and 21 January 2021. Research articles and reviews on the use of contact tracing, testing, self-isolation and quarantine for COVID-19 management were included in the review. DATA EXTRACTION AND SYNTHESIS We extracted information including study objective, design, methods, main findings and implications. These were tabulated and a narrative synthesis was undertaken given the diverse research designs, methods and implications. RESULTS We identified and included 118 eligible studies. We identified the core elements of an effective find, test, trace, isolate, support (FTTIS) system needed to interrupt the spread of a novel infectious disease, where treatment or vaccination was not yet available, as pertained in the initial stages of the COVID-19 pandemic. We report methods used to shorten case finding time, improve accuracy and efficiency of tests, coordinate stakeholders and actors involved in an FTTIS system, support individuals isolating and make appropriate use of digital tools. CONCLUSIONS We identified in our systematic review the key components of an FTTIS system. These include border controls, restricted entry, inbound traveller quarantine and comprehensive case finding; repeated testing to minimise false diagnoses and pooled testing in resource-limited circumstances; extended quarantine period and the use of digital tools for contact tracing and self-isolation. Support for mental or physical health and livelihoods is needed for individuals undergoing self-isolation/quarantine. An integrated system with rolling-wave planning can best use effective FTTIS tools to respond to the fast-changing COVID-19 pandemic. Results of the review may inform countries considering implementing these measures.
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Affiliation(s)
- Sheng-Chia Chung
- Institute of Health Informatics, University College London, London, UK
| | - Sushila Marlow
- Department of Chemical Engineering, University College London, London, UK
| | - Nicholas Tobias
- Bartlett School of Planning, University College London, London, UK
| | | | - Ivano Alogna
- British Institute of International and Comparative Law, London, UK
| | - San-Lin You
- Department of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Martin McKee
- European Centre on Health of Societies in Transition, London School of Hygiene and Tropical Medicine, London, UK
| | - Susan Michie
- Centre for Behaviour Change, Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Deenan Pillay
- Division of Infection and Immunity, University College London, London, UK
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Reitsma MB, Kendrick PJ, Ababneh E, Abbafati C, Abbasi-Kangevari M, Abdoli A, Abedi A, Abhilash ES, Abila DB, Aboyans V, Abu-Rmeileh NME, Adebayo OM, Advani SM, Aghaali M, Ahinkorah BO, Ahmad S, Ahmadi K, Ahmed H, Aji B, Akunna CJ, Al-Aly Z, Alanzi TM, Alhabib KF, Ali L, Alif SM, Alipour V, Aljunid SM, Alla F, Allebeck P, Alvis-Guzman N, Amin TT, Amini S, Amu H, Amul GGH, Ancuceanu R, Anderson JA, Ansari-Moghaddam A, Antonio CAT, Antony B, Anvari D, Arabloo J, Arian ND, Arora M, Asaad M, Ausloos M, Awan AT, Ayano G, Aynalem GL, Azari S, B DB, Badiye AD, Baig AA, Bakhshaei MH, Banach M, Banik PC, Barker-Collo SL, Bärnighausen TW, Barqawi HJ, Basu S, Bayati M, Bazargan-Hejazi S, Behzadifar M, Bekuma TT, Bennett DA, Bensenor IM, Berfield KSS, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bibi S, Bijani A, Bintoro BS, Biondi A, Birara S, Braithwaite D, Brenner H, Brunoni AR, Burkart K, Butt ZA, Caetano dos Santos FL, Cámera LA, Car J, Cárdenas R, Carreras G, Carrero JJ, Castaldelli-Maia JM, Cattaruzza MSS, Chang JC, Chen S, Chu DT, Chung SC, Cirillo M, Costa VM, Couto RAS, Dadras O, Dai X, Damasceno AAM, Damiani G, Dandona L, Dandona R, Daneshpajouhnejad P, Darega Gela J, Davletov K, Derbew Molla M, Dessie GA, Desta AA, Dharmaratne SD, Dianatinasab M, Diaz D, Do HT, Douiri A, Duncan BB, Duraes AR, Eagan AW, Ebrahimi Kalan M, Edvardsson K, Elbarazi I, El Tantawi M, Esmaeilnejad S, Fadhil I, Faraon EJA, Farinha CSES, Farwati M, Farzadfar F, Fazlzadeh M, Feigin VL, Feldman R, Fernandez Prendes C, Ferrara P, Filip I, Filippidis F, Fischer F, Flor LS, Foigt NA, Folayan MO, Foroutan M, Gad MM, Gaidhane AM, Gallus S, Geberemariyam BS, Ghafourifard M, Ghajar A, Ghashghaee A, Giampaoli S, Gill PS, Glozah FN, Gnedovskaya EV, Golechha M, Gopalani SV, Gorini G, Goudarzi H, Goulart AC, Greaves F, Guha A, Guo Y, Gupta B, Gupta RD, Gupta R, Gupta T, Gupta V, Hafezi-Nejad N, Haider MR, Hamadeh RR, Hankey GJ, Hargono A, Hartono RK, Hassankhani H, Hay SI, Heidari G, Herteliu C, Hezam K, Hird TR, Hole MK, Holla R, Hosseinzadeh M, Hostiuc S, Househ M, Hsiao T, Huang J, Iannucci VC, Ibitoye SE, Idrisov B, Ilesanmi OS, Ilic IM, Ilic MD, Inbaraj LR, Irvani SSN, Islam JY, Islam RM, Islam SMS, Islami F, Iso H, Itumalla R, Iwagami M, Jaafari J, Jain V, Jakovljevic M, Jang SI, Janjani H, Jayaram S, Jeemon P, Jha RP, Jonas JB, Joo T, Jürisson M, Kabir A, Kabir Z, Kalankesh LR, Kanchan T, Kandel H, Kapoor N, Karimi SE, Katikireddi SV, Kebede HK, Kelkay B, Kennedy RD, Khoja AT, Khubchandani J, Kim GR, Kim YE, Kimokoti RW, Kivimäki M, Kosen S, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Kugbey N, Kumar GA, Kumar N, Kurmi OP, Kusuma D, Lacey B, Lam JO, Landires I, Lasrado S, Lauriola P, Lee DW, Lee YH, Leung J, Li S, Lin H, Linn S, Liu W, Lopez AD, Lopukhov PD, Lorkowski S, Lugo A, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mamun AA, Manjunatha N, Mansouri B, Mansournia MA, Martinez-Raga J, Martini S, Mathur MR, Medina-Solís CE, Mehata S, Mendoza W, Menezes RG, Meretoja A, Meretoja TJ, Miazgowski B, Michalek IM, Miller TR, Mirrakhimov EM, Mirzaei H, Mirzaei-Alavijeh M, Misra S, Moghadaszadeh M, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Monasta L, Moni MA, Moradi G, Moradi-Lakeh M, Moradzadeh R, Morrison SD, Mossie TB, Mubarik S, Mullany EC, Murray CJL, Naghavi M, Naghshtabrizi B, Nair S, Nalini M, Nangia V, Naqvi AA, Narasimha Swamy S, Naveed M, Nayak S, Nayak VC, Nazari J, Nduaguba SO, Neupane Kandel S, Nguyen CT, Nguyen HLT, Nguyen SH, Nguyen TH, Nixon MR, Nnaji CA, Norrving B, Noubiap JJ, Nowak C, Ogbo FA, Oguntade AS, Oh IH, Olagunju AT, Oren E, Otstavnov N, Otstavnov SS, Owolabi MO, P A M, Pakhale S, Pakshir K, Palladino R, Pana A, Panda-Jonas S, Pandey A, Parekh U, Park EC, Park EK, Pashazadeh Kan F, Patton GC, Pawar S, Pestell RG, Pinheiro M, Piradov MA, Pirouzpanah S, Pokhrel KN, Polibin RV, Prashant A, Pribadi DRA, Radfar A, Rahimi-Movaghar V, Rahman A, Rahman MHU, Rahman MA, Rahmani AM, Rajai N, Ram P, Ranabhat CL, Rathi P, Rawal L, Renzaho AMN, Reynales-Shigematsu LM, Rezapour A, Riahi SM, Riaz MA, Roever L, Ronfani L, Roshandel G, Roy A, Roy B, Sacco S, Saddik B, Sahebkar A, Salehi S, Salimzadeh H, Samaei M, Samy AM, Santos IS, Santric-Milicevic MM, Sarrafzadegan N, Sathian B, Sawhney M, Saylan M, Schaub MP, Schmidt MI, Schneider IJC, Schutte AE, Schwendicke F, Seidu AA, Senthil Kumar N, Sepanlou SG, Seylani A, Shafaat O, Shah SM, Shaikh MA, Shalash AS, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shigematsu M, Shiri R, Shishani K, Shivakumar KM, Shivalli S, Shrestha R, Siabani S, Sidemo NB, Sigfusdottir ID, Sigurvinsdottir R, Silva DAS, Silva JP, Singh A, Singh JA, Singh V, Sinha DN, Sitas F, Skryabin VY, Skryabina AA, Soboka M, Soriano JB, Soroush A, Soshnikov S, Soyiri IN, Spurlock EE, Sreeramareddy CT, Stein DJ, Steiropoulos P, Stortecky S, Straif K, Suliankatchi Abdulkader R, Sulo G, Sundström J, Tabuchi T, Tadakamadla SK, Taddele BW, Tadesse EG, Tamiru AT, Tareke M, Tareque MI, Tarigan IU, Temsah MH, Thankappan KR, Thapar R, Tichopad A, Tolani MA, Topouzis F, Tovani-Palone MR, Tran BX, Tripathy JP, Tsegaye GW, Tsilimparis N, Tymeson HD, Ullah A, Ullah S, Unim B, Updike RL, Vacante M, Valdez PR, Vardavas C, Varona Pérez P, Vasankari TJ, Venketasubramanian N, Verma M, Vetrova MV, Vo B, Vu GT, Waheed Y, Wang Y, Welding K, Werdecker A, Whisnant JL, Wickramasinghe ND, Yamagishi K, Yandrapalli S, Yatsuya H, Yazdi-Feyzabadi V, Yeshaw Y, Yimmer MZ, Yonemoto N, Yu C, Yunusa I, Yusefzadeh H, Zahirian Moghadam T, Zaman MS, Zamanian M, Zandian H, Zar HJ, Zastrozhin MS, Zastrozhina A, Zavala-Arciniega L, Zhang J, Zhang ZJ, Zhong C, Zuniga YMH, Gakidou E. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet 2021; 397:2337-2360. [PMID: 34051883 PMCID: PMC8223261 DOI: 10.1016/s0140-6736(21)01169-7] [Citation(s) in RCA: 496] [Impact Index Per Article: 165.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 02/15/2021] [Accepted: 05/19/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Ending the global tobacco epidemic is a defining challenge in global health. Timely and comprehensive estimates of the prevalence of smoking tobacco use and attributable disease burden are needed to guide tobacco control efforts nationally and globally. METHODS We estimated the prevalence of smoking tobacco use and attributable disease burden for 204 countries and territories, by age and sex, from 1990 to 2019 as part of the Global Burden of Diseases, Injuries, and Risk Factors Study. We modelled multiple smoking-related indicators from 3625 nationally representative surveys. We completed systematic reviews and did Bayesian meta-regressions for 36 causally linked health outcomes to estimate non-linear dose-response risk curves for current and former smokers. We used a direct estimation approach to estimate attributable burden, providing more comprehensive estimates of the health effects of smoking than previously available. FINDINGS Globally in 2019, 1·14 billion (95% uncertainty interval 1·13-1·16) individuals were current smokers, who consumed 7·41 trillion (7·11-7·74) cigarette-equivalents of tobacco in 2019. Although prevalence of smoking had decreased significantly since 1990 among both males (27·5% [26·5-28·5] reduction) and females (37·7% [35·4-39·9] reduction) aged 15 years and older, population growth has led to a significant increase in the total number of smokers from 0·99 billion (0·98-1·00) in 1990. Globally in 2019, smoking tobacco use accounted for 7·69 million (7·16-8·20) deaths and 200 million (185-214) disability-adjusted life-years, and was the leading risk factor for death among males (20·2% [19·3-21·1] of male deaths). 6·68 million [86·9%] of 7·69 million deaths attributable to smoking tobacco use were among current smokers. INTERPRETATION In the absence of intervention, the annual toll of 7·69 million deaths and 200 million disability-adjusted life-years attributable to smoking will increase over the coming decades. Substantial progress in reducing the prevalence of smoking tobacco use has been observed in countries from all regions and at all stages of development, but a large implementation gap remains for tobacco control. Countries have a clear and urgent opportunity to pass strong, evidence-based policies to accelerate reductions in the prevalence of smoking and reap massive health benefits for their citizens. FUNDING Bloomberg Philanthropies and the Bill & Melinda Gates Foundation.
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Prieto-Merino D, Bebiano Da Providencia E Costa R, Bacallao Gallestey J, Sofat R, Chung SC, Potts H. Why We Are Losing the War Against COVID-19 on the Data Front and How to Reverse the Situation. ACTA ACUST UNITED AC 2021; 2:e20617. [PMID: 34042100 PMCID: PMC8104306 DOI: 10.2196/20617] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 12/31/2020] [Accepted: 03/10/2021] [Indexed: 12/05/2022]
Abstract
With over 117 million COVID-19–positive cases declared and the death count approaching 3 million, we would expect that the highly digitalized health systems of high-income countries would have collected, processed, and analyzed large quantities of clinical data from patients with COVID-19. Those data should have served to answer important clinical questions such as: what are the risk factors for becoming infected? What are good clinical variables to predict prognosis? What kinds of patients are more likely to survive mechanical ventilation? Are there clinical subphenotypes of the disease? All these, and many more, are crucial questions to improve our clinical strategies against the epidemic and save as many lives as possible. One might assume that in the era of big data and machine learning, there would be an army of scientists crunching petabytes of clinical data to answer these questions. However, nothing could be further from the truth. Our health systems have proven to be completely unprepared to generate, in a timely manner, a flow of clinical data that could feed these analyses. Despite gigabytes of data being generated every day, the vast quantity is locked in secure hospital data servers and is not being made available for analysis. Routinely collected clinical data are, by and large, regarded as a tool to inform decisions about individual patients, and not as a key resource to answer clinical questions through statistical analysis. The initiatives to extract COVID-19 clinical data are often promoted by private groups of individuals and not by health systems, and are uncoordinated and inefficient. The consequence is that we have more clinical data on COVID-19 than on any other epidemic in history, but we have failed to analyze this information quickly enough to make a difference. In this viewpoint, we expose this situation and suggest concrete ideas that health systems could implement to dynamically analyze their routine clinical data, becoming learning health systems and reversing the current situation.
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Affiliation(s)
- David Prieto-Merino
- Faculty of Epidemiology & Population Health London School of Hygiene & Tropical Medicine London United Kingdom.,Applied Statistical Methods in Medical Research Group Catholic University of San Antonio in Murcia Murcia Spain
| | | | | | - Reecha Sofat
- Institute of Health Informatics University College London London United Kingdom
| | - Sheng-Chia Chung
- Institute of Health Informatics University College London London United Kingdom
| | - Henry Potts
- Institute of Health Informatics University College London London United Kingdom
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Affiliation(s)
| | | | - Reecha Sofat
- University College London, London, United Kingdom
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Sepanlou SG, Safiri S, Bisignano C, Ikuta KS, Merat S, Saberifiroozi M, Poustchi H, Tsoi D, Colombara DV, Abdoli A, Adedoyin RA, Afarideh M, Agrawal S, Ahmad S, Ahmadian E, Ahmadpour E, Akinyemiju T, Akunna CJ, Alipour V, Almasi-Hashiani A, Almulhim AM, Al-Raddadi RM, Alvis-Guzman N, Anber NH, Angus C, Anoushiravani A, Arabloo J, Araya EM, Asmelash D, Ataeinia B, Ataro Z, Atout MMW, Ausloos F, Awasthi A, Badawi A, Banach M, Bejarano Ramirez DF, Bhagavathula AS, Bhala N, Bhattacharyya K, Biondi A, Bolla SR, Boloor A, Borzì AM, Butt ZA, Cámera LLAA, Campos-Nonato IR, Carvalho F, Chu DT, Chung SC, Cortesi PA, Costa VM, Cowie BC, Daryani A, de Courten B, Demoz GT, Desai R, Dharmaratne SD, Djalalinia S, Do HT, Dorostkar F, Drake TM, Dubey M, Duncan BB, Effiong A, Eftekhari A, Elsharkawy A, Etemadi A, Farahmand M, Farzadfar F, Fernandes E, Filip I, Fischer F, Gebremedhin KBB, Geta B, Gilani SA, Gill PS, Gutirrez RA, Haile MT, Haj-Mirzaian A, Hamid SS, Hasankhani M, Hasanzadeh A, Hashemian M, Hassen HY, Hay SI, Hayat K, Heidari B, Henok A, Hoang CL, Hostiuc M, Hostiuc S, Hsieh VCR, Igumbor EU, Ilesanmi OS, Irvani SSN, Jafari Balalami N, James SL, Jeemon P, Jha RP, Jonas JB, Jozwiak JJ, Kabir A, Kasaeian A, Kassaye HG, Kefale AT, Khalilov R, Khan MA, Khan EA, Khater A, Kim YJ, Koyanagi A, La Vecchia C, Lim LL, Lopez AD, Lorkowski S, Lotufo PA, Lozano R, Magdy Abd El Razek M, Mai HT, Manafi N, Manafi A, Mansournia MA, Mantovani LG, Mazzaglia G, Mehta D, Mendoza W, Menezes RG, Mengesha MM, Meretoja TJ, Mestrovic T, Miazgowski B, Miller TR, Mirrakhimov EM, Mithra P, Moazen B, Moghadaszadeh M, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Montero-Zamora PA, Moradi G, Naimzada MD, Nayak V, Negoi I, Nguyen TH, Ofori-Asenso R, Oh IH, Olagunju TO, Padubidri JR, Pakshir K, Pana A, Pathak M, Pourshams A, Rabiee N, Radfar A, Rafiei A, Ramezanzadeh K, Rana SMM, Rawaf S, Rawaf DL, Reiner RC, Roever L, Room R, Roshandel G, Safari S, Samy AM, Sanabria J, Sartorius B, Schmidt MI, Senthilkumaran S, Shaikh MA, Sharif M, Sharifi A, Shigematsu M, Singh JA, Soheili A, Suleria HAR, Teklehaimanot BF, Tesfay BE, Vacante M, Vahedian-Azimi A, Valdez PR, Vasankari TJ, Vu GT, Waheed Y, Weldegwergs KG, Werdecker A, Westerman R, Wondafrash DZ, Wondmieneh AB, Yeshitila YG, Yonemoto N, Yu C, Zaidi Z, Zarghi A, Zelber-Sagi S, Zewdie KA, Zhang ZJ, Zhao XJ, Naghavi M, Malekzadeh R. The global, regional, and national burden of cirrhosis by cause in 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Gastroenterol Hepatol 2020; 5:245-266. [PMID: 31981519 PMCID: PMC7026710 DOI: 10.1016/s2468-1253(19)30349-8] [Citation(s) in RCA: 711] [Impact Index Per Article: 177.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 10/08/2019] [Accepted: 10/09/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND Cirrhosis and other chronic liver diseases (collectively referred to as cirrhosis in this paper) are a major cause of morbidity and mortality globally, although the burden and underlying causes differ across locations and demographic groups. We report on results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 on the burden of cirrhosis and its trends since 1990, by cause, sex, and age, for 195 countries and territories. METHODS We used data from vital registrations, vital registration samples, and verbal autopsies to estimate mortality. We modelled prevalence of total, compensated, and decompensated cirrhosis on the basis of hospital and claims data. Disability-adjusted life-years (DALYs) were calculated as the sum of years of life lost due to premature death and years lived with disability. Estimates are presented as numbers and age-standardised or age-specific rates per 100 000 population, with 95% uncertainty intervals (UIs). All estimates are presented for five causes of cirrhosis: hepatitis B, hepatitis C, alcohol-related liver disease, non-alcoholic steatohepatitis (NASH), and other causes. We compared mortality, prevalence, and DALY estimates with those expected according to the Socio-demographic Index (SDI) as a proxy for the development status of regions and countries. FINDINGS In 2017, cirrhosis caused more than 1·32 million (95% UI 1·27-1·45) deaths (440 000 [416 000-518 000; 33·3%] in females and 883 000 [838 000-967 000; 66·7%] in males) globally, compared with less than 899 000 (829 000-948 000) deaths in 1990. Deaths due to cirrhosis constituted 2·4% (2·3-2·6) of total deaths globally in 2017 compared with 1·9% (1·8-2·0) in 1990. Despite an increase in the number of deaths, the age-standardised death rate decreased from 21·0 (19·2-22·3) per 100 000 population in 1990 to 16·5 (15·8-18·1) per 100 000 population in 2017. Sub-Saharan Africa had the highest age-standardised death rate among GBD super-regions for all years of the study period (32·2 [25·8-38·6] deaths per 100 000 population in 2017), and the high-income super-region had the lowest (10·1 [9·8-10·5] deaths per 100 000 population in 2017). The age-standardised death rate decreased or remained constant from 1990 to 2017 in all GBD regions except eastern Europe and central Asia, where the age-standardised death rate increased, primarily due to increases in alcohol-related liver disease prevalence. At the national level, the age-standardised death rate of cirrhosis was lowest in Singapore in 2017 (3·7 [3·3-4·0] per 100 000 in 2017) and highest in Egypt in all years since 1990 (103·3 [64·4-133·4] per 100 000 in 2017). There were 10·6 million (10·3-10·9) prevalent cases of decompensated cirrhosis and 112 million (107-119) prevalent cases of compensated cirrhosis globally in 2017. There was a significant increase in age-standardised prevalence rate of decompensated cirrhosis between 1990 and 2017. Cirrhosis caused by NASH had a steady age-standardised death rate throughout the study period, whereas the other four causes showed declines in age-standardised death rate. The age-standardised prevalence of compensated and decompensated cirrhosis due to NASH increased more than for any other cause of cirrhosis (by 33·2% for compensated cirrhosis and 54·8% for decompensated cirrhosis) over the study period. From 1990 to 2017, the number of prevalent cases more than doubled for compensated cirrhosis due to NASH and more than tripled for decompensated cirrhosis due to NASH. In 2017, age-standardised death and DALY rates were lower among countries and territories with higher SDI. INTERPRETATION Cirrhosis imposes a substantial health burden on many countries and this burden has increased at the global level since 1990, partly due to population growth and ageing. Although the age-standardised death and DALY rates of cirrhosis decreased from 1990 to 2017, numbers of deaths and DALYs and the proportion of all global deaths due to cirrhosis increased. Despite the availability of effective interventions for the prevention and treatment of hepatitis B and C, they were still the main causes of cirrhosis burden worldwide, particularly in low-income countries. The impact of hepatitis B and C is expected to be attenuated and overtaken by that of NASH in the near future. Cost-effective interventions are required to continue the prevention and treatment of viral hepatitis, and to achieve early diagnosis and prevention of cirrhosis due to alcohol-related liver disease and NASH. FUNDING Bill & Melinda Gates Foundation.
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Bikbov B, Purcell CA, Levey AS, Smith M, Abdoli A, Abebe M, Adebayo OM, Afarideh M, Agarwal SK, Agudelo-Botero M, Ahmadian E, Al-Aly Z, Alipour V, Almasi-Hashiani A, Al-Raddadi RM, Alvis-Guzman N, Amini S, Andrei T, Andrei CL, Andualem Z, Anjomshoa M, Arabloo J, Ashagre AF, Asmelash D, Ataro Z, Atout MMW, Ayanore MA, Badawi A, Bakhtiari A, Ballew SH, Balouchi A, Banach M, Barquera S, Basu S, Bayih MT, Bedi N, Bello AK, Bensenor IM, Bijani A, Boloor A, Borzì AM, Cámera LA, Carrero JJ, Carvalho F, Castro F, Catalá-López F, Chang AR, Chin KL, Chung SC, Cirillo M, Cousin E, Dandona L, Dandona R, Daryani A, Das Gupta R, Demeke FM, Demoz GT, Desta DM, Do HP, Duncan BB, Eftekhari A, Esteghamati A, Fatima SS, Fernandes JC, Fernandes E, Fischer F, Freitas M, Gad MM, Gebremeskel GG, Gebresillassie BM, Geta B, Ghafourifard M, Ghajar A, Ghith N, Gill PS, Ginawi IA, Gupta R, Hafezi-Nejad N, Haj-Mirzaian A, Haj-Mirzaian A, Hariyani N, Hasan M, Hasankhani M, Hasanzadeh A, Hassen HY, Hay SI, Heidari B, Herteliu C, Hoang CL, Hosseini M, Hostiuc M, Irvani SSN, Islam SMS, Jafari Balalami N, James SL, Jassal SK, Jha V, Jonas JB, Joukar F, Jozwiak JJ, Kabir A, Kahsay A, Kasaeian A, Kassa TD, Kassaye HG, Khader YS, Khalilov R, Khan EA, Khan MS, Khang YH, Kisa A, Kovesdy CP, Kuate Defo B, Kumar GA, Larsson AO, Lim LL, Lopez AD, Lotufo PA, Majeed A, Malekzadeh R, März W, Masaka A, Meheretu HAA, Miazgowski T, Mirica A, Mirrakhimov EM, Mithra P, Moazen B, Mohammad DK, Mohammadpourhodki R, Mohammed S, Mokdad AH, Morales L, Moreno Velasquez I, Mousavi SM, Mukhopadhyay S, Nachega JB, Nadkarni GN, Nansseu JR, Natarajan G, Nazari J, Neal B, Negoi RI, Nguyen CT, Nikbakhsh R, Noubiap JJ, Nowak C, Olagunju AT, Ortiz A, Owolabi MO, Palladino R, Pathak M, Poustchi H, Prakash S, Prasad N, Rafiei A, Raju SB, Ramezanzadeh K, Rawaf S, Rawaf DL, Rawal L, Reiner RC, Rezapour A, Ribeiro DC, Roever L, Rothenbacher D, Rwegerera GM, Saadatagah S, Safari S, Sahle BW, Salem H, Sanabria J, Santos IS, Sarveazad A, Sawhney M, Schaeffner E, Schmidt MI, Schutte AE, Sepanlou SG, Shaikh MA, Sharafi Z, Sharif M, Sharifi A, Silva DAS, Singh JA, Singh NP, Sisay MMM, Soheili A, Sutradhar I, Teklehaimanot BF, Tesfay BE, Teshome GF, Thakur JS, Tonelli M, Tran KB, Tran BX, Tran Ngoc C, Ullah I, Valdez PR, Varughese S, Vos T, Vu LG, Waheed Y, Werdecker A, Wolde HF, Wondmieneh AB, Wulf Hanson S, Yamada T, Yeshaw Y, Yonemoto N, Yusefzadeh H, Zaidi Z, Zaki L, Zaman SB, Zamora N, Zarghi A, Zewdie KA, Ärnlöv J, Coresh J, Perico N, Remuzzi G, Murray CJL, Vos T. Global, regional, and national burden of chronic kidney disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2020; 395:709-733. [PMID: 32061315 PMCID: PMC7049905 DOI: 10.1016/s0140-6736(20)30045-3] [Citation(s) in RCA: 2567] [Impact Index Per Article: 641.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 09/16/2019] [Accepted: 01/06/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Health system planning requires careful assessment of chronic kidney disease (CKD) epidemiology, but data for morbidity and mortality of this disease are scarce or non-existent in many countries. We estimated the global, regional, and national burden of CKD, as well as the burden of cardiovascular disease and gout attributable to impaired kidney function, for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017. We use the term CKD to refer to the morbidity and mortality that can be directly attributed to all stages of CKD, and we use the term impaired kidney function to refer to the additional risk of CKD from cardiovascular disease and gout. METHODS The main data sources we used were published literature, vital registration systems, end-stage kidney disease registries, and household surveys. Estimates of CKD burden were produced using a Cause of Death Ensemble model and a Bayesian meta-regression analytical tool, and included incidence, prevalence, years lived with disability, mortality, years of life lost, and disability-adjusted life-years (DALYs). A comparative risk assessment approach was used to estimate the proportion of cardiovascular diseases and gout burden attributable to impaired kidney function. FINDINGS Globally, in 2017, 1·2 million (95% uncertainty interval [UI] 1·2 to 1·3) people died from CKD. The global all-age mortality rate from CKD increased 41·5% (95% UI 35·2 to 46·5) between 1990 and 2017, although there was no significant change in the age-standardised mortality rate (2·8%, -1·5 to 6·3). In 2017, 697·5 million (95% UI 649·2 to 752·0) cases of all-stage CKD were recorded, for a global prevalence of 9·1% (8·5 to 9·8). The global all-age prevalence of CKD increased 29·3% (95% UI 26·4 to 32·6) since 1990, whereas the age-standardised prevalence remained stable (1·2%, -1·1 to 3·5). CKD resulted in 35·8 million (95% UI 33·7 to 38·0) DALYs in 2017, with diabetic nephropathy accounting for almost a third of DALYs. Most of the burden of CKD was concentrated in the three lowest quintiles of Socio-demographic Index (SDI). In several regions, particularly Oceania, sub-Saharan Africa, and Latin America, the burden of CKD was much higher than expected for the level of development, whereas the disease burden in western, eastern, and central sub-Saharan Africa, east Asia, south Asia, central and eastern Europe, Australasia, and western Europe was lower than expected. 1·4 million (95% UI 1·2 to 1·6) cardiovascular disease-related deaths and 25·3 million (22·2 to 28·9) cardiovascular disease DALYs were attributable to impaired kidney function. INTERPRETATION Kidney disease has a major effect on global health, both as a direct cause of global morbidity and mortality and as an important risk factor for cardiovascular disease. CKD is largely preventable and treatable and deserves greater attention in global health policy decision making, particularly in locations with low and middle SDI. FUNDING Bill & Melinda Gates Foundation.
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Pasea L, Chung SC, Pujades-Rodriguez M, Shah AD, Alvarez-Madrazo S, Allan V, Teo JT, Bean D, Sofat R, Dobson R, Banerjee A, Patel RS, Timmis A, Denaxas S, Hemingway H. Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis. BMC Med 2019; 17:206. [PMID: 31744503 PMCID: PMC6864929 DOI: 10.1186/s12916-019-1438-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 10/01/2019] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Clinical guidelines and public health authorities lack recommendations on scalable approaches to defining and monitoring the occurrence and severity of bleeding in populations prescribed antithrombotic therapy. METHODS We examined linked primary care, hospital admission and death registry electronic health records (CALIBER 1998-2010, England) of patients with newly diagnosed atrial fibrillation, acute myocardial infarction, unstable angina or stable angina with the aim to develop algorithms for bleeding events. Using the developed bleeding phenotypes, Kaplan-Meier plots were used to estimate the incidence of bleeding events and we used Cox regression models to assess the prognosis for all-cause mortality, atherothrombotic events and further bleeding. RESULTS We present electronic health record phenotyping algorithms for bleeding based on bleeding diagnosis in primary or hospital care, symptoms, transfusion, surgical procedures and haemoglobin values. In validation of the phenotype, we estimated a positive predictive value of 0.88 (95% CI 0.64, 0.99) for hospitalised bleeding. Amongst 128,815 patients, 27,259 (21.2%) had at least 1 bleeding event, with 5-year risks of bleeding of 29.1%, 21.9%, 25.3% and 23.4% following diagnoses of atrial fibrillation, acute myocardial infarction, unstable angina and stable angina, respectively. Rates of hospitalised bleeding per 1000 patients more than doubled from 1.02 (95% CI 0.83, 1.22) in January 1998 to 2.68 (95% CI 2.49, 2.88) in December 2009 coinciding with the increased rates of antiplatelet and vitamin K antagonist prescribing. Patients with hospitalised bleeding and primary care bleeding, with or without markers of severity, were at increased risk of all-cause mortality and atherothrombotic events compared to those with no bleeding. For example, the hazard ratio for all-cause mortality was 1.98 (95% CI 1.86, 2.11) for primary care bleeding with markers of severity and 1.99 (95% CI 1.92, 2.05) for hospitalised bleeding without markers of severity, compared to patients with no bleeding. CONCLUSIONS Electronic health record bleeding phenotyping algorithms offer a scalable approach to monitoring bleeding in the population. Incidence of bleeding has doubled in incidence since 1998, affects one in four cardiovascular disease patients, and is associated with poor prognosis. Efforts are required to tackle this iatrogenic epidemic.
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Affiliation(s)
- Laura Pasea
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, London, UK
| | - Sheng-Chia Chung
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, London, UK
| | | | - Anoop D Shah
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, London, UK
- Department of Clinical Pharmacology, University College London Hospital NHS Foundation Trust, London, UK
| | - Samantha Alvarez-Madrazo
- Health Data Research UK Scotland, Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK
| | - Victoria Allan
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, London, UK
| | - James T Teo
- Department of Stroke and Neurology, King's College Hospital NHS Foundation Trust, London, UK
| | - Daniel Bean
- Department of Biostatistics and Health Informatics, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Reecha Sofat
- Department of Clinical Pharmacology, University College London Hospital NHS Foundation Trust, London, UK
| | - Richard Dobson
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, London, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Amitava Banerjee
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, London, UK
| | - Riyaz S Patel
- Institute of Health Informatics, University College London, London, UK
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK
| | - Adam Timmis
- Bart's Heart Centre, Queen Mary University London, London, UK
| | - Spiros Denaxas
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, London, UK
| | - Harry Hemingway
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK.
- Institute of Health Informatics, University College London, London, UK.
- The National Institute for Health Research University College London Hospitals Biomedical Research Centre, University College London, London, UK.
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Li Q, Li X, Wang J, Liu H, Kwong JSW, Chen H, Li L, Chung SC, Shah A, Chen Y, An Z, Sun X, Hemingway H, Tian H, Li S. Diagnosis and treatment for hyperuricemia and gout: a systematic review of clinical practice guidelines and consensus statements. BMJ Open 2019; 9:e026677. [PMID: 31446403 PMCID: PMC6720466 DOI: 10.1136/bmjopen-2018-026677] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVES Despite the publication of hundreds of trials on gout and hyperuricemia, management of these conditions remains suboptimal. We aimed to assess the quality and consistency of guidance documents for gout and hyperuricemia. DESIGN Systematic review and quality assessment using the appraisal of guidelines for research and evaluation (AGREE) II methodology. DATA SOURCES PubMed and EMBASE (27 October 2016), two Chinese academic databases, eight guideline databases, and Google and Google scholar (July 2017). ELIGIBILITY CRITERIA We included the latest version of international and national/regional clinical practice guidelines and consensus statements for diagnosis and/or treatment of hyperuricemia and gout, published in English or Chinese. DATA EXTRACTION AND SYNTHESIS Two reviewers independently screened searched items and extracted data. Four reviewers independently scored documents using AGREE II. Recommendations from all documents were tabulated and visualised in a coloured grid. RESULTS Twenty-four guidance documents (16 clinical practice guidelines and 8 consensus statements) published between 2003 and 2017 were included. Included documents performed well in the domains of scope and purpose (median 85.4%, range 66.7%-100.0%) and clarity of presentation (median 79.2%, range 48.6%-98.6%), but unsatisfactory in applicability (median 10.9%, range 0.0%-66.7%) and editorial independence (median 28.1%, range 0.0%-83.3%). The 2017 British Society of Rheumatology guideline received the highest scores. Recommendations were concordant on the target serum uric acid level for long-term control, on some indications for urate-lowering therapy (ULT), and on the first-line drugs for ULT and for acute attack. Substantially inconsistent recommendations were provided for many items, especially for the timing of initiation of ULT and for treatment for asymptomatic hyperuricemia. CONCLUSIONS Methodological quality needs improvement in guidance documents on gout and hyperuricemia. Evidence for certain clinical questions is lacking, despite numerous trials in this field. Promoting standard guidance development methods and synthesising high-quality clinical evidence are potential approaches to reduce recommendation inconsistencies. PROSPERO REGISTRATION NUMBER CRD42016046104.
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Affiliation(s)
- Qianrui Li
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
- Institute of Health Informatics, University College London, London, UK
| | - Xiaodan Li
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Wang
- Department of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China
| | - Hongdie Liu
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Joey Sum-Wing Kwong
- Jockey Club School of Public Health and Primary Care, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Hao Chen
- The Second Clinical College, Nanjing University of Chinese Medicine, Nanjing, China
| | - Ling Li
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Sheng-Chia Chung
- Institute of Health Informatics, University College London, London, UK
| | - Anoop Shah
- Institute of Health Informatics, University College London, London, UK
- Farr Institute of Health Informatics Research, University College London, London, UK
- Health Data Research UK London, University College London, London, UK
- The National Institute for Health Research University College London Hospitals Biomedical Research Centre, University College London, London, UK
| | - Yaolong Chen
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
| | - Zhenmei An
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Xin Sun
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Harry Hemingway
- Institute of Health Informatics, University College London, London, UK
- Health Data Research UK London, University College London, London, UK
- The National Institute for Health Research University College London Hospitals Biomedical Research Centre, University College London, London, UK
| | - Haoming Tian
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Sheyu Li
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
- Division of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee, United Kingdom
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Dicker D, Nguyen G, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdel-Rahman O, Abdi A, Abdollahpour I, Abdulkader RS, Abdurahman AA, Abebe HT, Abebe M, Abebe Z, Abebo TA, Aboyans V, Abraha HN, Abrham AR, Abu-Raddad LJ, Abu-Rmeileh NME, Accrombessi MMK, Acharya P, Adebayo OM, Adedeji IA, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhena BM, Adhikari TB, Adib MG, Adou AK, Adsuar JC, Afarideh M, Afshin A, Agarwal G, Aggarwal R, Aghayan SA, Agrawal S, Agrawal A, Ahmadi M, Ahmadi A, Ahmadieh H, Ahmed MLCB, Ahmed S, Ahmed MB, Aichour AN, Aichour I, Aichour MTE, Akanda AS, Akbari ME, Akibu M, Akinyemi RO, Akinyemiju T, Akseer N, Alahdab F, Al-Aly Z, Alam K, Alebel A, Aleman AV, Alene KA, Al-Eyadhy A, Ali R, Alijanzadeh M, Alizadeh-Navaei R, Aljunid SM, Alkerwi A, Alla F, Allebeck P, Allen CA, Alonso J, Al-Raddadi RM, Alsharif U, Altirkawi K, Alvis-Guzman N, Amare AT, Amini E, Ammar W, Amoako YA, Anber NH, Andrei CL, Androudi S, Animut MD, Anjomshoa M, Anlay DZ, Ansari H, Ansariadi A, Ansha MG, Antonio CAT, Appiah SCY, Aremu O, Areri HA, Ärnlöv J, Arora M, Artaman A, Aryal KK, Asadi-Lari M, Asayesh H, Asfaw ET, Asgedom SW, Assadi R, Ataro Z, Atey TMM, Athari SS, Atique S, Atre SR, Atteraya MS, Attia EF, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Awuah B, Ayala Quintanilla BP, Ayele HT, Ayele Y, Ayer R, Ayuk TB, Azzopardi PS, Azzopardi-Muscat N, Badali H, Badawi A, Balakrishnan K, Bali AG, Banach M, Banstola A, Barac A, Barboza MA, Barquera S, Barrero LH, Basaleem H, Bassat Q, Basu A, Basu S, Baune BT, Bazargan-Hejazi S, Bedi N, Beghi E, Behzadifar M, Behzadifar M, Béjot Y, Bekele BB, Belachew AB, Belay AG, Belay E, Belay SA, Belay YA, Bell ML, Bello AK, Bennett DA, Bensenor IM, Berhane A, Berman AE, Bernabe E, Bernstein RS, Bertolacci GJ, Beuran M, Beyranvand T, Bhala N, Bhatia E, Bhatt S, Bhattarai S, Bhaumik S, Bhutta ZA, Biadgo B, Bijani A, Bikbov B, Bililign N, Bin Sayeed MS, Birlik SM, Birungi C, Bisanzio D, Biswas T, Bjørge T, Bleyer A, Basara BB, Bose D, Bosetti C, Boufous S, Bourne R, Brady OJ, Bragazzi NL, Brant LC, Brazinova A, Breitborde NJK, Brenner H, Britton G, Brugha T, Burke KE, Busse R, Butt ZA, Cahuana-Hurtado L, Callender CSKH, Campos-Nonato IR, Campuzano Rincon JC, Cano J, Car M, Cárdenas R, Carreras G, Carrero JJ, Carter A, Carvalho F, Castañeda-Orjuela CA, Castillo Rivas J, Castro F, Catalá-López F, Çavlin A, Cerin E, Chaiah Y, Champs AP, Chang HY, Chang JC, Chattopadhyay A, Chaturvedi P, Chen W, Chiang PPC, Chimed-Ochir O, Chin KL, Chisumpa VH, Chitheer A, Choi JYJ, Christensen H, Christopher DJ, Chung SC, Cicuttini FM, Ciobanu LG, Cirillo M, Claro RM, Cohen AJ, Collado-Mateo D, Constantin MM, Conti S, Cooper C, Cooper LT, Cortesi PA, Cortinovis M, Cousin E, Criqui MH, Cromwell EA, Crowe CS, Crump JA, Cucu A, Cunningham M, Daba AK, Dachew BA, Dadi AF, Dandona L, Dandona R, Dang AK, Dargan PI, Daryani A, Das SK, Das Gupta R, das Neves J, Dasa TT, Dash AP, Weaver ND, Davitoiu DV, Davletov K, Dayama A, Courten BD, De la Hoz FP, De leo D, De Neve JW, Degefa MG, Degenhardt L, Degfie TT, Deiparine S, Dellavalle RP, Demoz GT, Demtsu BB, Denova-Gutiérrez E, Deribe K, Dervenis N, Des Jarlais DC, Dessie GA, Dey S, Dharmaratne SD, Dhimal M, Ding EL, Djalalinia S, Doku DT, Dolan KA, Donnelly CA, Dorsey ER, Douwes-Schultz D, Doyle KE, Drake TM, Driscoll TR, Dubey M, Dubljanin E, Duken EE, Duncan BB, Duraes AR, Ebrahimi H, Ebrahimpour S, Edessa D, Edvardsson D, Eggen AE, El Bcheraoui C, El Sayed Zaki M, Elfaramawi M, El-Khatib Z, Ellingsen CL, Elyazar IRF, Enayati A, Endries AYY, Er B, Ermakov SP, Eshrati B, Eskandarieh S, Esmaeili R, Esteghamati A, Esteghamati S, Fakhar M, Fakhim H, Farag T, Faramarzi M, Fareed M, Farhadi F, Farid TA, Farinha CSES, Farioli A, Faro A, Farvid MS, Farzadfar F, Farzaei MH, Fazeli MS, Feigin VL, Feigl AB, Feizy F, Fentahun N, Fereshtehnejad SM, Fernandes E, Fernandes JC, Feyissa GT, Fijabi DO, Filip I, Finegold S, 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Yamada T, Yan LL, Yano Y, Yaseri M, Yasin YJ, Ye P, Yearwood JA, Yentür GK, Yeshaneh A, Yimer EM, Yip P, Yisma E, Yonemoto N, Yoon SJ, York HW, Yotebieng M, Younis MZ, Yousefifard M, Yu C, Zachariah G, Zadnik V, Zafar S, Zaidi Z, Zaman SB, Zamani M, Zare Z, Zeeb H, Zeleke MM, Zenebe ZM, Zerfu TA, Zhang K, Zhang X, Zhou M, Zhu J, Zodpey S, Zucker I, Zuhlke LJJ, Lopez AD, Gakidou E, Murray CJL. Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392:1684-1735. [PMID: 30496102 PMCID: PMC6227504 DOI: 10.1016/s0140-6736(18)31891-9] [Citation(s) in RCA: 575] [Impact Index Per Article: 95.8] [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: 04/09/2018] [Revised: 07/14/2018] [Accepted: 08/08/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. METHODS The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. FINDINGS Globally, 18·7% (95% uncertainty interval 18·4-19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2-59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5-49·6) to 70·5 years (70·1-70·8) for men and from 52·9 years (51·7-54·0) to 75·6 years (75·3-75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5-51·7) for men in the Central African Republic to 87·6 years (86·9-88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3-238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6-42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2-5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. INTERPRETATION This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing. FUNDING Bill & Melinda Gates Foundation.
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Roth GA, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdollahpour I, Abdulkader RS, Abebe HT, Abebe M, Abebe Z, Abejie AN, Abera SF, Abil OZ, Abraha HN, Abrham AR, Abu-Raddad LJ, Accrombessi MMK, Acharya D, Adamu AA, Adebayo OM, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhena BM, Adib MG, Admasie A, Afshin A, Agarwal G, Agesa KM, Agrawal A, Agrawal S, Ahmadi A, Ahmadi M, Ahmed MB, Ahmed S, Aichour AN, Aichour I, Aichour MTE, Akbari ME, Akinyemi RO, Akseer N, Al-Aly Z, Al-Eyadhy A, Al-Raddadi RM, Alahdab F, Alam K, Alam T, Alebel A, Alene KA, Alijanzadeh M, Alizadeh-Navaei R, Aljunid SM, Alkerwi A, Alla F, Allebeck P, Alonso J, Altirkawi K, Alvis-Guzman N, Amare AT, Aminde LN, Amini E, Ammar W, Amoako YA, Anber NH, Andrei CL, Androudi S, Animut MD, Anjomshoa M, Ansari H, Ansha MG, Antonio CAT, Anwari P, Aremu O, Ärnlöv J, Arora A, Arora M, Artaman A, Aryal KK, Asayesh H, Asfaw ET, Ataro Z, Atique S, Atre SR, Ausloos M, Avokpaho 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Castillo Rivas J, Castle CD, Castro C, Castro F, Catalá-López F, Cerin E, Chaiah Y, Chang JC, Charlson FJ, Chaturvedi P, Chiang PPC, Chimed-Ochir O, Chisumpa VH, Chitheer A, Chowdhury R, Christensen H, Christopher DJ, Chung SC, Cicuttini FM, Ciobanu LG, Cirillo M, Cohen AJ, Cooper LT, Cortesi PA, Cortinovis M, Cousin E, Cowie BC, Criqui MH, Cromwell EA, Crowe CS, Crump JA, Cunningham M, Daba AK, Dadi AF, Dandona L, Dandona R, Dang AK, Dargan PI, Daryani A, Das SK, Gupta RD, Neves JD, Dasa TT, Dash AP, Davis AC, Davis Weaver N, Davitoiu DV, Davletov K, De La Hoz FP, De Neve JW, Degefa MG, Degenhardt L, Degfie TT, Deiparine S, Demoz GT, Demtsu BB, Denova-Gutiérrez E, Deribe K, Dervenis N, Des Jarlais DC, Dessie GA, Dey S, Dharmaratne SD, Dicker D, Dinberu MT, Ding EL, Dirac MA, Djalalinia S, Dokova K, Doku DT, Donnelly CA, Dorsey ER, Doshi PP, Douwes-Schultz D, Doyle KE, Driscoll TR, Dubey M, Dubljanin E, Duken EE, Duncan BB, Duraes AR, Ebrahimi H, Ebrahimpour S, Edessa D, Edvardsson D, 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Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392:1736-1788. [PMID: 30496103 PMCID: PMC6227606 DOI: 10.1016/s0140-6736%2818%2932203-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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] [Received: 04/07/2018] [Revised: 08/29/2018] [Accepted: 08/30/2018] [Indexed: 01/19/2024]
Abstract
BACKGROUND Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. METHODS The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries-Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised. FINDINGS At the broadest grouping of causes of death (Level 1), non-communicable diseases (NCDs) comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5-74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 18·6% (17·9-19·6), and injuries 8·0% (7·7-8·2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22·7% (21·5-23·9), representing an additional 7·61 million (7·20-8·01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7·9% (7·0-8·8). The number of deaths for CMNN causes decreased by 22·2% (20·0-24·0) and the death rate by 31·8% (30·1-33·3). Total deaths from injuries increased by 2·3% (0·5-4·0) between 2007 and 2017, and the death rate from injuries decreased by 13·7% (12·2-15·1) to 57·9 deaths (55·9-59·2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000-289 000) globally in 2007 to 352 000 (334 000-363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118·0% (88·8-148·6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36·4% (32·2-40·6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33·6% (31·2-36·1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respiratory infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990-neonatal disorders, lower respiratory infections, and diarrhoeal diseases-were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases. INTERPRETATION Improvements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade. FUNDING Bill & Melinda Gates Foundation.
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Zucker I, Zuhlke LJJ, Lim SS, Murray CJL. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392:2091-2138. [PMID: 30496107 PMCID: PMC6227911 DOI: 10.1016/s0140-6736(18)32281-5] [Citation(s) in RCA: 264] [Impact Index Per Article: 44.0] [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: 06/15/2018] [Revised: 09/06/2018] [Accepted: 09/12/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of "leaving no one behind", it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990-2017, projected indicators to 2030, and analysed global attainment. METHODS We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0-100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. FINDINGS The global median health-related SDG index in 2017 was 59·4 (IQR 35·4-67·3), ranging from a low of 11·6 (95% uncertainty interval 9·6-14·0) to a high of 84·9 (83·1-86·7). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. INTERPRETATION The GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains-curative interventions in the case of NCDs-towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions-or inaction-today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030. FUNDING Bill & Melinda Gates Foundation.
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Otstavnov SS, Øverland S, Owolabi MO, P A M, Pacella R, Pakhare AP, Pakpour AH, Pana A, Panda-Jonas S, Park EK, Parry CDH, Parsian H, Patel S, Pati S, Patil ST, Patle A, Patton GC, Paudel D, Paulson KR, Paz Ballesteros WC, Pearce N, Pereira A, Pereira DM, Perico N, Pesudovs K, Petzold M, Pham HQ, Phillips MR, Pillay JD, Piradov MA, Pirsaheb M, Pischon T, Pishgar F, Plana-Ripoll O, Plass D, Polinder S, Polkinghorne KR, Postma MJ, Poulton R, Pourshams A, Poustchi H, Prabhakaran D, Prakash S, Prasad N, Purcell CA, Purwar MB, Qorbani M, Radfar A, Rafay A, Rafiei A, Rahim F, Rahimi Z, Rahimi-Movaghar A, Rahimi-Movaghar V, Rahman M, Rahman MHU, Rahman MA, Rai RK, Rajati F, Rajsic S, Raju SB, Ram U, Ranabhat CL, Ranjan P, Rath GK, Rawaf DL, Rawaf S, Reddy KS, Rehm CD, Rehm J, Reiner RC, Reitsma MB, Remuzzi G, Renzaho AMN, Resnikoff S, Reynales-Shigematsu LM, Rezaei S, Ribeiro ALP, Rivera JA, Roba KT, Rodríguez-Ramírez S, Roever L, Román Y, Ronfani L, Roshandel G, Rostami A, Roth GA, Rothenbacher D, Roy A, Rubagotti E, Rushton L, Sabanayagam C, Sachdev PS, Saddik B, Sadeghi E, Saeedi Moghaddam S, Safari H, Safari Y, Safari-Faramani R, Safdarian M, Safi S, Safiri S, Sagar R, Sahebkar A, Sahraian MA, Sajadi HS, Salam N, Salamati P, Saleem Z, Salimi Y, Salimzadeh H, Salomon JA, Salvi DD, Salz I, Samy AM, Sanabria J, Sanchez-Niño MD, Sánchez-Pimienta TG, Sanders T, Sang Y, Santomauro DF, Santos IS, Santos JV, Santric Milicevic MM, Sao Jose BP, Sardana M, Sarker AR, Sarmiento-Suárez R, Sarrafzadegan N, Sartorius B, Sarvi S, Sathian B, Satpathy M, Sawant AR, Sawhney M, Saylan M, Sayyah M, Schaeffner E, Schmidt MI, Schneider IJC, Schöttker B, Schutte AE, Schwebel DC, Schwendicke F, Scott JG, Seedat S, Sekerija M, Sepanlou SG, Serre ML, Serván-Mori E, Seyedmousavi S, Shabaninejad H, Shaddick G, Shafieesabet A, Shahbazi M, Shaheen AA, Shaikh MA, Shamah Levy T, Shams-Beyranvand M, Shamsi M, Sharafi H, Sharafi K, Sharif M, Sharif-Alhoseini M, Sharifi H, Sharma J, Sharma M, Sharma R, She J, Sheikh A, Shi P, Shibuya K, Shiferaw MS, Shigematsu M, Shin MJ, Shiri R, Shirkoohi R, Shiue I, Shokraneh F, Shoman H, Shrime MG, Shupler MS, Si S, Siabani S, Sibai AM, Siddiqi TJ, Sigfusdottir ID, Sigurvinsdottir R, Silva DAS, Silva JP, Silveira DGA, Singh JA, Singh NP, Singh V, Sinha DN, Skiadaresi E, Skirbekk V, Smith DL, Smith M, Sobaih BH, Sobhani S, Somayaji R, Soofi M, Sorensen RJD, Soriano JB, Soyiri IN, Spinelli A, Sposato LA, Sreeramareddy CT, Srinivasan V, Starodubov VI, Steckling N, Stein DJ, Stein MB, Stevanovic G, Stockfelt L, Stokes MA, Sturua L, Subart ML, Sudaryanto A, Sufiyan MB, Sulo G, Sunguya BF, Sur PJ, Sykes BL, Szoeke CEI, Tabarés-Seisdedos R, Tabuchi T, Tadakamadla SK, Takahashi K, Tandon N, Tassew SG, Tavakkoli M, Taveira N, Tehrani-Banihashemi A, Tekalign TG, Tekelemedhin SW, Tekle MG, Temesgen H, Temsah MH, Temsah O, Terkawi AS, Tessema B, Teweldemedhin M, Thankappan KR, Theis A, Thirunavukkarasu S, Thomas HJ, Thomas ML, Thomas N, Thurston GD, Tilahun B, Tillmann T, To QG, Tobollik M, Tonelli M, Topor-Madry R, Torre AE, Tortajada-Girbés M, Touvier M, Tovani-Palone MR, Towbin JA, Tran BX, Tran KB, Truelsen TC, Truong NT, Tsadik AG, Tudor Car L, Tuzcu EM, Tymeson HD, Tyrovolas S, Ukwaja KN, Ullah I, Updike RL, Usman MS, Uthman OA, Vaduganathan M, Vaezi A, Valdez PR, Van Donkelaar A, Varavikova E, Varughese S, Vasankari TJ, Venkateswaran V, Venketasubramanian N, Villafaina S, Violante FS, Vladimirov SK, Vlassov V, Vollset SE, Vos T, Vosoughi K, Vu GT, Vujcic IS, Wagnew FS, Waheed Y, Waller SG, Walson JL, Wang Y, Wang Y, Wang YP, Weiderpass E, Weintraub RG, Weldegebreal F, Werdecker A, Werkneh AA, West JJ, Westerman R, Whiteford HA, Widecka J, Wijeratne T, Winkler AS, Wiyeh AB, Wiysonge CS, Wolfe CDA, Wong TY, Wu S, Xavier D, Xu G, Yadgir S, Yadollahpour A, Yahyazadeh Jabbari SH, Yamada T, Yan LL, Yano Y, Yaseri M, Yasin YJ, Yeshaneh A, Yimer EM, Yip P, Yisma E, Yonemoto N, Yoon SJ, Yotebieng M, Younis MZ, Yousefifard M, Yu C, Zaidi Z, Zaman SB, Zamani M, Zavala-Arciniega L, Zhang AL, Zhang H, Zhang K, Zhou M, Zimsen SRM, Zodpey S, Murray CJL. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392:1923-1994. [PMID: 30496105 PMCID: PMC6227755 DOI: 10.1016/s0140-6736(18)32225-6] [Citation(s) in RCA: 2618] [Impact Index Per Article: 436.3] [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: 05/27/2018] [Revised: 08/31/2018] [Accepted: 09/05/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk-outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk-outcome pairs, and new data on risk exposure levels and risk-outcome associations. METHODS We used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017. FINDINGS In 2017, 34·1 million (95% uncertainty interval [UI] 33·3-35·0) deaths and 1·21 billion (1·14-1·28) DALYs were attributable to GBD risk factors. Globally, 61·0% (59·6-62·4) of deaths and 48·3% (46·3-50·2) of DALYs were attributed to the GBD 2017 risk factors. When ranked by risk-attributable DALYs, high systolic blood pressure (SBP) was the leading risk factor, accounting for 10·4 million (9·39-11·5) deaths and 218 million (198-237) DALYs, followed by smoking (7·10 million [6·83-7·37] deaths and 182 million [173-193] DALYs), high fasting plasma glucose (6·53 million [5·23-8·23] deaths and 171 million [144-201] DALYs), high body-mass index (BMI; 4·72 million [2·99-6·70] deaths and 148 million [98·6-202] DALYs), and short gestation for birthweight (1·43 million [1·36-1·51] deaths and 139 million [131-147] DALYs). In total, risk-attributable DALYs declined by 4·9% (3·3-6·5) between 2007 and 2017. In the absence of demographic changes (ie, population growth and ageing), changes in risk exposure and risk-deleted DALYs would have led to a 23·5% decline in DALYs during that period. Conversely, in the absence of changes in risk exposure and risk-deleted DALYs, demographic changes would have led to an 18·6% increase in DALYs during that period. The ratios of observed risk exposure levels to exposure levels expected based on SDI (O/E ratios) increased globally for unsafe drinking water and household air pollution between 1990 and 2017. This result suggests that development is occurring more rapidly than are changes in the underlying risk structure in a population. Conversely, nearly universal declines in O/E ratios for smoking and alcohol use indicate that, for a given SDI, exposure to these risks is declining. In 2017, the leading Level 4 risk factor for age-standardised DALY rates was high SBP in four super-regions: central Europe, eastern Europe, and central Asia; north Africa and Middle East; south Asia; and southeast Asia, east Asia, and Oceania. The leading risk factor in the high-income super-region was smoking, in Latin America and Caribbean was high BMI, and in sub-Saharan Africa was unsafe sex. O/E ratios for unsafe sex in sub-Saharan Africa were notably high, and those for alcohol use in north Africa and the Middle East were notably low. INTERPRETATION By quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning. FUNDING Bill & Melinda Gates Foundation.
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Fitzmaurice C, Akinyemiju TF, Al Lami FH, Alam T, Alizadeh-Navaei R, Allen C, Alsharif U, Alvis-Guzman N, Amini E, Anderson BO, Aremu O, Artaman A, Asgedom SW, Assadi R, Atey TM, Avila-Burgos L, Awasthi A, Ba Saleem HO, Barac A, Bennett JR, Bensenor IM, Bhakta N, Brenner H, Cahuana-Hurtado L, Castañeda-Orjuela CA, Catalá-López F, Choi JYJ, Christopher DJ, Chung SC, Curado MP, Dandona L, Dandona R, das Neves J, Dey S, Dharmaratne SD, Doku DT, Driscoll TR, Dubey M, Ebrahimi H, Edessa D, El-Khatib Z, Endries AY, Fischer F, Force LM, Foreman KJ, Gebrehiwot SW, Gopalani SV, Grosso G, Gupta R, Gyawali B, Hamadeh RR, Hamidi S, Harvey J, Hassen HY, Hay RJ, Hay SI, Heibati B, Hiluf MK, Horita N, Hosgood HD, Ilesanmi OS, Innos K, Islami F, Jakovljevic MB, Johnson SC, Jonas JB, Kasaeian A, Kassa TD, Khader YS, Khan EA, Khan G, Khang YH, Khosravi MH, Khubchandani J, Kopec JA, Kumar GA, Kutz M, Lad DP, Lafranconi A, Lan Q, Legesse Y, Leigh J, Linn S, Lunevicius R, Majeed A, Malekzadeh R, Malta DC, Mantovani LG, McMahon BJ, Meier T, Melaku YA, Melku M, Memiah P, Mendoza W, Meretoja TJ, Mezgebe HB, Miller TR, Mohammed S, Mokdad AH, Moosazadeh M, Moraga P, Mousavi SM, Nangia V, Nguyen CT, Nong VM, Ogbo FA, Olagunju AT, Pa M, Park EK, Patel T, Pereira DM, Pishgar F, Postma MJ, Pourmalek F, Qorbani M, Rafay A, Rawaf S, Rawaf DL, Roshandel G, Safiri S, Salimzadeh H, Sanabria JR, Santric Milicevic MM, Sartorius B, Satpathy M, Sepanlou SG, Shackelford KA, Shaikh MA, Sharif-Alhoseini M, She J, Shin MJ, Shiue I, Shrime MG, Sinke AH, Sisay M, Sligar A, Sufiyan MB, Sykes BL, Tabarés-Seisdedos R, Tessema GA, Topor-Madry R, Tran TT, Tran BX, Ukwaja KN, Vlassov VV, Vollset SE, Weiderpass E, Williams HC, Yimer NB, Yonemoto N, Younis MZ, Murray CJL, Naghavi M. Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2016: A Systematic Analysis for the Global Burden of Disease Study. JAMA Oncol 2018; 4:1553-1568. [PMID: 29860482 PMCID: PMC6248091 DOI: 10.1001/jamaoncol.2018.2706] [Citation(s) in RCA: 1054] [Impact Index Per Article: 175.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
IMPORTANCE The increasing burden due to cancer and other noncommunicable diseases poses a threat to human development, which has resulted in global political commitments reflected in the Sustainable Development Goals as well as the World Health Organization (WHO) Global Action Plan on Non-Communicable Diseases. To determine if these commitments have resulted in improved cancer control, quantitative assessments of the cancer burden are required. OBJECTIVE To assess the burden for 29 cancer groups over time to provide a framework for policy discussion, resource allocation, and research focus. EVIDENCE REVIEW Cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life-years (DALYs) were evaluated for 195 countries and territories by age and sex using the Global Burden of Disease study estimation methods. Levels and trends were analyzed over time, as well as by the Sociodemographic Index (SDI). Changes in incident cases were categorized by changes due to epidemiological vs demographic transition. FINDINGS In 2016, there were 17.2 million cancer cases worldwide and 8.9 million deaths. Cancer cases increased by 28% between 2006 and 2016. The smallest increase was seen in high SDI countries. Globally, population aging contributed 17%; population growth, 12%; and changes in age-specific rates, -1% to this change. The most common incident cancer globally for men was prostate cancer (1.4 million cases). The leading cause of cancer deaths and DALYs was tracheal, bronchus, and lung cancer (1.2 million deaths and 25.4 million DALYs). For women, the most common incident cancer and the leading cause of cancer deaths and DALYs was breast cancer (1.7 million incident cases, 535 000 deaths, and 14.9 million DALYs). In 2016, cancer caused 213.2 million DALYs globally for both sexes combined. Between 2006 and 2016, the average annual age-standardized incidence rates for all cancers combined increased in 130 of 195 countries or territories, and the average annual age-standardized death rates decreased within that timeframe in 143 of 195 countries or territories. CONCLUSIONS AND RELEVANCE Large disparities exist between countries in cancer incidence, deaths, and associated disability. Scaling up cancer prevention and ensuring universal access to cancer care are required for health equity and to fulfill the global commitments for noncommunicable disease and cancer control.
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Affiliation(s)
| | - Christina Fitzmaurice
- Division of Hematology, Department of Medicine, University of Washington, Seattle
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Fred Hutchinson Cancer Research Center, Seattle, Washington
| | | | | | - Tahiya Alam
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Reza Alizadeh-Navaei
- Gastrointestinal Cancer Research Center, Mazandaran University of Medical Sciences, Sari, Iran
| | - Christine Allen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Ubai Alsharif
- Charite University Medicine Berlin, Charité Universitätsmedizin, Berlin, Berlin, Germany
| | - Nelson Alvis-Guzman
- ALZAK Foundation-Universidad de la Costa, Universidad de Cartagena, Universidad de Cartagena, Cartagena de Indias, Colombia
| | - Erfan Amini
- Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Uro-Oncology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Olatunde Aremu
- Birmingham City, University Department of Public Health and Therapies, Birmingham, England
| | - Al Artaman
- University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Reza Assadi
- Mashhad University of Medical Sciences, Mashhad, Iran
| | | | | | - Ashish Awasthi
- Indian Institute of Public Health, Gandhinagar, Gujarat, India
| | | | - Aleksandra Barac
- Faculty of Medicine, University of Belgrade, Belgrade, Belgrade, Serbia
| | - James R Bennett
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | | | | | | | | | - Carlos A Castañeda-Orjuela
- Colombian National Health Observatory, Instituto Nacional de Salud, Bogota, Bogota, DC, Colombia
- Epidemiology and Public Health Evaluation Group, Public Health Department, Universidad Nacional de Colombia, Bogota, Colombia
| | - Ferrán Catalá-López
- Department of Medicine, University of Valencia, INCLIVA Health Research Institute and CIBERSAM, Valencia, Spain
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Jee-Young Jasmine Choi
- Seoul National University Hospital, Seoul, South Korea
- Seoul National University Medical Library, Seoul, South Korea
| | | | - Sheng-Chia Chung
- The Farr Institute of Health Informatics Research, Institute of Health Informatics, University College London, London, England
| | - Maria Paula Curado
- Accamargo Cancer Center, Sao Paulo, Sao Paulo, Brazil
- International Prevention Research Institute, Ecully, France
| | - Lalit Dandona
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Public Health Foundation of India, Gurugram, National Capital Region, India
| | - Rakhi Dandona
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Public Health Foundation of India, Gurugram, National Capital Region, India
| | - José das Neves
- INEB-Instituto de Engenharia Biomédica, University of Porto, Porto, Portugal
- i3S-Instituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal
| | | | - Samath D Dharmaratne
- Department of Community Medicine, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka
| | - David Teye Doku
- University of Cape Coast, Cape Coast, Ghana
- University of Tampere, Tampere, Finland
| | - Tim R Driscoll
- Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Manisha Dubey
- International Institute for Population Sciences, Mumbai, Maharashtra, India
| | - Hedyeh Ebrahimi
- Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Liver and Pancreaticobiliary Diseases Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Ziad El-Khatib
- Department of Global Health and Social Medicine, Harvard Medical School, Kigali, Rwanda
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | | | - Florian Fischer
- School of Public Health, Bielefeld University, Bielefeld, North Rhine-Westphalia, Germany
| | - Lisa M Force
- St Jude Children's Research Hospital, Memphis, Tennessee
| | - Kyle J Foreman
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Imperial College London, London, England
| | | | - Sameer Vali Gopalani
- Department of Health and Social Affairs, Government of the Federated States of Micronesia, Palikir, Pohnpei, Federated States of Micronesia
| | - Giuseppe Grosso
- University Hospital Policlinico "Vittorio Emanuele," Catania, Italy
- NNEdPro Global Centre for Nutrition and Health, Cambridge, England
| | - Rahul Gupta
- West Virginia Bureau for Public Health, Charleston
| | | | | | - Samer Hamidi
- Haan Bin Mohammed Smart University, Dubai, United Arab Emirates
| | - James Harvey
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | | | - Roderick J Hay
- International Foundation for Dermatology, London, England
- King's College London, London, England
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, England
| | - Behzad Heibati
- Air Pollution Research Center, Iran University of Medical Sciences, Tehran, Iran
| | | | - Nobuyuki Horita
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan
| | - H Dean Hosgood
- Albert Einstein College of Medicine, Bronx, New York, USA
| | | | - Kaire Innos
- National Institute for Health Development, Tallinn, Estonia
| | - Farhad Islami
- Surveillance and Health Services Research, American Cancer Society, Atlanta, Georgia
| | - Mihajlo B Jakovljevic
- Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Central Serbia, Serbia
- Center for Health Trends and Forecasts, University of Washington, Seattle
| | | | - Jost B Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, Ruprecht-Karls-University Heidelberg, Mannheim, Germany
| | - Amir Kasaeian
- Hematologic Malignancies Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Hematology-Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Yousef Saleh Khader
- Department of Community Medicine, Public Health and Family Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | | | - Gulfaraz Khan
- Department of Microbiology and Immunology, College of Medicine & Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, United Arab Emirates
| | - Young-Ho Khang
- Department of Health Policy and Management, Seoul National University College of Medicine, Seoul, South Korea
- Institute of Health Policy and Management, Seoul National University Medical Center, Seoul, South Korea
| | - Mohammad Hossein Khosravi
- Baqiyatallah University of Medical Sciences, Tehran, Iran
- International Otorhinolaryngology Research Association (IORA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Jagdish Khubchandani
- Department of Nutrition and Health Science, Ball State University, Muncie, Indiana
| | - Jacek A Kopec
- University of British Columbia, Vancouver, British Columbia, Canada
| | - G Anil Kumar
- Public Health Foundation of India, Gurugram, National Capital Region, India
| | - Michael Kutz
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | | | | | - Qing Lan
- National Cancer Institute, Rockville, Maryland
| | | | - James Leigh
- University of Sydney, Sydney, New South Wales, Australia
| | | | - Raimundas Lunevicius
- Aintree University Hospital National Health Service Foundation Trust, Liverpool, England
- School of Medicine, University of Liverpool, Liverpool, England
| | - Azeem Majeed
- Department of Primary Care & Public Health, Imperial College London, London, England
| | - Reza Malekzadeh
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | | | | | - Toni Meier
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD), Martin Luther University Halle-Wittenberg, Saale, Germany
| | - Yohannes Adama Melaku
- School of Medicine, University of Adelaide, Adelaide, South Australia, Australia
- School of Public Health, Mekelle University, Mekelle, Ethiopia
| | | | | | | | - Tuomo J Meretoja
- Comprehensive Cancer Center, Breast Surgery Unit, Helsinki University Hospital, Helsinki, Finland
- University of Helsinki, Helsinki, Finland
| | | | - Ted R Miller
- Pacific Institute for Research & Evaluation, Calverton, Maryland
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Shafiu Mohammed
- Health Systems and Policy Research Unit, Ahmadu Bello University, Zaria, Nigeria
- Institute of Public Health, Heidelberg University, Heidelberg, Baden Wuettemberg, Germany
| | - Ali H Mokdad
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Mahmood Moosazadeh
- Health Science Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran
| | - Paula Moraga
- Lancaster Medical School, Lancaster University, Lancaster, England
| | - Seyyed Meysam Mousavi
- Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Cuong Tat Nguyen
- Institute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam
| | - Vuong Minh Nong
- Institute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam
| | - Felix Akpojene Ogbo
- Centre for Health Research, Western Sydney University, Sydney, New South Wales, Australia
| | - Andrew Toyin Olagunju
- Department of Psychiatry, College of Medicine, University of Lagos, Lagos, Lagos State, Nigeria
- Department of Psychiatry, Lagos University Teaching Hospital, Lagos, Nigeria
- Discipline of Psychiatry, University of Adelaide, Adelaide, South Australia, Australia
| | - Mahesh Pa
- JSS Medical College (PA), JSS University, Mysore, Karnataka, India
| | - Eun-Kee Park
- Department of Medical Humanities and Social Medicine, College of Medicine, Kosin University, Busan, South Korea
| | - Tejas Patel
- White Plains Hospital, White Plains, New York
| | - David M Pereira
- REQUIMTE/LAQV, Laboratório de Farmacognosia, Departamento de Química, Faculdade de Farmácia, Universidade do Porto, Porto, Portugal
| | - Farhad Pishgar
- Uro-Oncology Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Maarten J Postma
- University Medical Center Groningen, Groningen, the Netherlands
- University of Groningen, Groningen, the Netherlands
| | | | - Mostafa Qorbani
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Anwar Rafay
- Contech International Health Consultants, Lahore, Pakistan
- Contech School of Public Health, Lahore, Pakistan
| | | | - David Laith Rawaf
- North Hampshire Hospitals, Basingstroke, England
- University College London Hospitals, London, England
- WHO Collaborating Centre, Imperial College of London, London, England
| | - Gholamreza Roshandel
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran
| | - Saeid Safiri
- Managerial Epidemiology Research Center, Department of Public Health, School of Nursing and Midwifery, Maragheh University of Medical Sciences, Maragheh, Iran
| | | | - Juan Ramon Sanabria
- Joan C. Edwards School of Medicine, Marshall University, Huntington, West Virginia
- Case Western Reserve University, Cleveland, Ohio
| | - Milena M Santric Milicevic
- Centre School of Public Health and Health Management, Faculty of Medicine, University of Belgrade, Belgrade, Belgrade, Serbia
- Institute of Social Medicine, Faculty of Medicine, University of Belgrade, Belgrade, Belgrade, Serbia
| | - Benn Sartorius
- Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
- UKZN Gastrointestinal Cancer Research Centre, South African Medical Research Council, Durban, South Africa
| | - Maheswar Satpathy
- Centre of Advanced Study in Psychology, Utkal University, Bhubaneswar, India
| | - Sadaf G Sepanlou
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | | | - Mahdi Sharif-Alhoseini
- Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Jun She
- Department of Pulmonary Medicine, Zhongshan Hospital (She), Fudan University, Shanghai, China
| | - Min-Jeong Shin
- Department of Public Health Sciences, Korea University, Seoul, South Korea
| | - Ivy Shiue
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, Scotland
- Institut für Medizinische Epidemiologie, Biometrie und Informatik, Martin Luther University Halle-Wittenberg, Saale, Germany
| | | | | | | | - Amber Sligar
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | | | - Bryan L Sykes
- Departments of Criminology, Law & Society, Sociology, and Public Health, University of California, Irvine
| | - Rafael Tabarés-Seisdedos
- Department of Medicine, University of Valencia, INCLIVA Health Research Institute and CIBERSAM, Valencia, Spain
| | - Gizachew Assefa Tessema
- University of Gondar, Gondar, Ethiopia
- University of Adelaide, Adelaide, South Australia, Australia
| | - Roman Topor-Madry
- Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Kraków, Poland
- Faculty of Health Sciences, Wroclaw Medical University, Wroclaw, Poland
| | - Tung Thanh Tran
- Institute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam
| | - Bach Xuan Tran
- Johns Hopkins University, Baltimore, Maryland
- Hanoi Medical University, Hanoi, Vietnam
| | - Kingsley Nnanna Ukwaja
- Department of Internal Medicine, Federal Teaching Hospital, Abakaliki, Ebonyi State, Nigeria
| | | | - Stein Emil Vollset
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Elisabete Weiderpass
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
- Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hywel C Williams
- Centre of Evidence-Based Dermatology, University of Nottingham, Nottingham, England
| | | | - Naohiro Yonemoto
- Department of Biostatistics, School of Public Health, Kyoto University, Kyoto, Japan
| | | | | | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
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Chung SC, Pujades-Rodriguez M, Duyx B, Denaxas SC, Pasea L, Hingorani A, Timmis A, Williams B, Hemingway H. Time spent at blood pressure target and the risk of death and cardiovascular diseases. PLoS One 2018; 13:e0202359. [PMID: 30183734 PMCID: PMC6124703 DOI: 10.1371/journal.pone.0202359] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 08/01/2018] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND The time a patient spends with blood pressure at target level is an intuitive measure of successful BP management, but population studies on its effectiveness are as yet unavailable. METHOD We identified a population-based cohort of 169,082 individuals with newly identified high blood pressure who were free of cardiovascular disease from January 1997 to March 2010. We used 1.64 million clinical blood pressure readings to calculate the TIme at TaRgEt (TITRE) based on current target blood pressure levels. RESULT The median (Inter-quartile range) TITRE among all patients was 2.8 (0.3, 5.6) months per year, only 1077 (0.6%) patients had a TITRE ≥11 months. Compared to people with a 0% TITRE, patients with a TITRE of 3-5.9 months, and 6-8.9 months had 75% and 78% lower odds of the composite of cardiovascular death, myocardial infarction and stroke (adjusted odds ratios, 0.25 (95% confidence interval: 0.21, 0.31) and 0.22 (0.17, 0.27), respectively). These associations were consistent for heart failure and any cardiovascular disease and death (comparing a 3-5.9 month to 0% TITRE, 63% and 60% lower in odds, respectively), among people who did or did not have blood pressure 'controlled' on a single occasion during the first year of follow-up, and across groups defined by number of follow-up BP measure categories. CONCLUSION Based on the current frequency of measurement of blood pressure this study suggests that few newly hypertensive patients sustained a complete, year-round on target blood pressure over time. The inverse associations between a higher TITRE and lower risk of incident cardiovascular diseases were independent of widely-used blood pressure 'control' indicators. Randomized trials are required to evaluate interventions to increase a person's time spent at blood pressure target.
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Affiliation(s)
- Sheng-Chia Chung
- Health Data Research UK London, University College London, London, United Kingdom
- Institute of Health Informatics, University College London, London, United Kingdom
| | - Mar Pujades-Rodriguez
- Health Data Research UK London, University College London, London, United Kingdom
- Leeds Institute of Biomedical and Clinical Sciences, University of Leeds, Leeds, United Kingdom
| | - Bram Duyx
- Health Data Research UK London, University College London, London, United Kingdom
- CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, the Netherlands
| | - Spiros C. Denaxas
- Health Data Research UK London, University College London, London, United Kingdom
- Institute of Health Informatics, University College London, London, United Kingdom
| | - Laura Pasea
- Health Data Research UK London, University College London, London, United Kingdom
- Institute of Health Informatics, University College London, London, United Kingdom
| | - Aroon Hingorani
- Health Data Research UK London, University College London, London, United Kingdom
- Institute of Cardiovascular Science, University College London, London, United Kingdom
- National Institute for Health Research (NIHR), University College London Hospitals Biomedical Research Centre, London, United Kingdom
| | - Adam Timmis
- Health Data Research UK London, University College London, London, United Kingdom
- Barts Heart Centre, London, United Kingdom
| | - Bryan Williams
- Institute of Cardiovascular Science, University College London, London, United Kingdom
- National Institute for Health Research (NIHR), University College London Hospitals Biomedical Research Centre, London, United Kingdom
| | - Harry Hemingway
- Health Data Research UK London, University College London, London, United Kingdom
- Institute of Health Informatics, University College London, London, United Kingdom
- National Institute for Health Research (NIHR), University College London Hospitals Biomedical Research Centre, London, United Kingdom
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Pasea L, Chung SC, Pujades-Rodriguez M, Moayyeri A, Denaxas S, Fox KAA, Wallentin L, Pocock SJ, Timmis A, Banerjee A, Patel R, Hemingway H. Personalising the decision for prolonged dual antiplatelet therapy: development, validation and potential impact of prognostic models for cardiovascular events and bleeding in myocardial infarction survivors. Eur Heart J 2017; 38:1048-1055. [PMID: 28329300 PMCID: PMC5400049 DOI: 10.1093/eurheartj/ehw683] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Revised: 09/23/2016] [Accepted: 12/30/2016] [Indexed: 12/15/2022] Open
Abstract
Aims The aim of this study is to develop models to aid the decision to prolong dual antiplatelet therapy (DAPT) that requires balancing an individual patient's potential benefits and harms. Methods and results Using population-based electronic health records (EHRs) (CALIBER, England, 2000-10), of patients evaluated 1 year after acute myocardial infarction (MI), we developed (n = 12 694 patients) and validated (n = 5613) prognostic models for cardiovascular (cardiovascular death, MI or stroke) events and three different bleeding endpoints. We applied trial effect estimates to determine potential benefits and harms of DAPT and the net clinical benefit of individuals. Prognostic models for cardiovascular events (c-index: 0.75 (95% CI: 0.74, 0.77)) and bleeding (c index 0.72 (95% CI: 0.67, 0.77)) were well calibrated: 3-year risk of cardiovascular events was 16.5% overall (5.2% in the lowest- and 46.7% in the highest-risk individuals), while for major bleeding, it was 1.7% (0.3% in the lowest- and 5.4% in the highest-risk patients). For every 10 000 patients treated per year, we estimated 249 (95% CI: 228, 269) cardiovascular events prevented and 134 (95% CI: 87, 181) major bleeding events caused in the highest-risk patients, and 28 (95% CI: 19, 37) cardiovascular events prevented and 9 (95% CI: 0, 20) major bleeding events caused in the lowest-risk patients. There was a net clinical benefit of prolonged DAPT in 63-99% patients depending on how benefits and harms were weighted. Conclusion Prognostic models for cardiovascular events and bleeding using population-based EHRs may help to personalise decisions for prolonged DAPT 1-year following acute MI.
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Affiliation(s)
- Laura Pasea
- The Farr Institute of Health Informatics Research, University College London, London, UK
| | - Sheng-Chia Chung
- The Farr Institute of Health Informatics Research, University College London, London, UK
| | - Mar Pujades-Rodriguez
- The Farr Institute of Health Informatics Research, University College London, London, UK
- MRC Medical Bioinformatics Centre, Leeds Institute of Biomedical and Clinical Sciences, University of Leeds, UK
| | - Alireza Moayyeri
- The Farr Institute of Health Informatics Research, University College London, London, UK
| | - Spiros Denaxas
- The Farr Institute of Health Informatics Research, University College London, London, UK
| | - Keith A A Fox
- Centre for Cardiovascular Science, University of Edinburgh and Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Lars Wallentin
- Department of Medical Sciences Cardiology, Uppsala Clinical Research Centre, Uppsala University, Uppsala, Sweden
| | - Stuart J Pocock
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Adam Timmis
- Bart's Heart Centre, Barts and the London National Institute for Health Research Cardiovascular Biomedical Research Unit, London, UK
| | - Amitava Banerjee
- The Farr Institute of Health Informatics Research, University College London, London, UK
| | - Riyaz Patel
- The Farr Institute of Health Informatics Research, University College London, London, UK
| | - Harry Hemingway
- The Farr Institute of Health Informatics Research, University College London, London, UK
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Shah AD, Thornley S, Chung SC, Denaxas S, Jackson R, Hemingway H. White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand. BMJ Open 2017; 7:e013100. [PMID: 28213596 PMCID: PMC5318564 DOI: 10.1136/bmjopen-2016-013100] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
OBJECTIVES Electronic health records offer the opportunity to discover new clinical implications for established blood tests, but international comparisons have been lacking. We tested the association of total white cell count (WBC) with all-cause mortality in England and New Zealand. SETTING Primary care practices in England (ClinicAl research using LInked Bespoke studies and Electronic health Records (CALIBER)) and New Zealand (PREDICT). DESIGN Analysis of linked electronic health record data sets: CALIBER (primary care, hospitalisation, mortality and acute coronary syndrome registry) and PREDICT (cardiovascular risk assessments in primary care, hospitalisations, mortality, dispensed medication and laboratory results). PARTICIPANTS People aged 30-75 years with no prior cardiovascular disease (CALIBER: N=686 475, 92.0% white; PREDICT: N=194 513, 53.5% European, 14.7% Pacific, 13.4% Maori), followed until death, transfer out of practice (in CALIBER) or study end. PRIMARY OUTCOME MEASURE HRs for mortality were estimated using Cox models adjusted for age, sex, smoking, diabetes, systolic blood pressure, ethnicity and total:high-density lipoprotein (HDL) cholesterol ratio. RESULTS We found 'J'-shaped associations between WBC and mortality; the second quintile was associated with lowest risk in both cohorts. High WBC within the reference range (8.65-10.05×109/L) was associated with significantly increased mortality compared to the middle quintile (6.25-7.25×109/L); adjusted HR 1.51 (95% CI 1.43 to 1.59) in CALIBER and 1.33 (95% CI 1.06 to 1.65) in PREDICT. WBC outside the reference range was associated with even greater mortality. The association was stronger over the first 6 months of follow-up, but similar across ethnic groups. CONCLUSIONS Clinically recorded WBC within the range considered 'normal' is associated with mortality in ethnically different populations from two countries, particularly within the first 6 months. Large-scale international comparisons of electronic health record cohorts might yield new insights from widely performed clinical tests. TRIAL REGISTRATION NUMBER NCT02014610.
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Affiliation(s)
- Anoop Dinesh Shah
- Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, London, UK
- University College London Hospitals NHS Trust, London, UK
| | - Simon Thornley
- Counties Manukau District Health Board, Auckland, New Zealand
- Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Sheng-Chia Chung
- Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, London, UK
| | - Spiros Denaxas
- Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, London, UK
| | - Rod Jackson
- Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Harry Hemingway
- Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, London, UK
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Rapsomaniki E, Thuresson M, Yang E, Blin P, Hunt P, Chung SC, Stogiannis D, Pujades-Rodriguez M, Timmis A, Denaxas SC, Danchin N, Stokes M, Thomas-Delecourt F, Emmas C, Hasvold P, Jennings E, Johansson S, Cohen DJ, Jernberg T, Moore N, Janzon M, Hemingway H. Using big data from health records from four countries to evaluate chronic disease outcomes: a study in 114 364 survivors of myocardial infarction. Eur Heart J Qual Care Clin Outcomes 2016; 2:172-183. [PMID: 29474617 PMCID: PMC5815620 DOI: 10.1093/ehjqcco/qcw004] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2015] [Revised: 01/18/2016] [Indexed: 01/16/2023]
Abstract
AIMS To assess the international validity of using hospital record data to compare long-term outcomes in heart attack survivors. METHODS AND RESULTS We used samples of national, ongoing, unselected record sources to assess three outcomes: cause death; a composite of myocardial infarction (MI), stroke, and all-cause death; and hospitalized bleeding. Patients aged 65 years and older entered the study 1 year following the most recent discharge for acute MI in 2002-11 [n = 54 841 (Sweden), 53 909 (USA), 4653 (England), and 961 (France)]. Across each of the four countries, we found consistent associations with 12 baseline prognostic factors and each of the three outcomes. In each country, we observed high 3-year crude cumulative risks of all-cause death (from 19.6% [England] to 30.2% [USA]); the composite of MI, stroke, or death [from 26.0% (France) to 36.2% (USA)]; and hospitalized bleeding [from 3.1% (France) to 5.3% (USA)]. After adjustments for baseline risk factors, risks were similar across all countries [relative risks (RRs) compared with Sweden not statistically significant], but higher in the USA for all-cause death [RR USA vs. Sweden, 1.14 (95% confidence interval 1.04-1.26)] and hospitalized bleeding [RR USA vs. Sweden, 1.54 (1.21-1.96)]. CONCLUSION The validity of using hospital record data is supported by the consistency of estimates across four countries of a high adjusted risk of death, further MI, and stroke in the chronic phase after MI. The possibility that adjusted risks of mortality and bleeding are higher in the USA warrants further study.
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Affiliation(s)
- Eleni Rapsomaniki
- Farr Institute of Health Informatics Research, University College London, London, UK
| | | | - Erru Yang
- Retrospective Observational Studies, Evidera, Lexington, MA, USA
| | - Patrick Blin
- Department of Pharmacology, CIC Bordeaux CIC1401 INSERM, University of Bordeaux, Bordeaux, France
| | - Phillip Hunt
- Retrospective Observational Studies, Evidera, Lexington, MA, USA
| | - Sheng-Chia Chung
- Farr Institute of Health Informatics Research, University College London, London, UK
| | - Dimitris Stogiannis
- Department of Mathematics, National and Kapodistrian University of Athens, Athens, Greece
| | - Mar Pujades-Rodriguez
- Farr Institute of Health Informatics Research, University College London, London, UK
| | - Adam Timmis
- Farr Institute of Health Informatics Research, University College London, London, UK
| | - Spiros C. Denaxas
- Farr Institute of Health Informatics Research, University College London, London, UK
| | | | - Michael Stokes
- Retrospective Observational Studies, Evidera, Lexington, MA, USA
| | | | - Cathy Emmas
- Real World Evidence, AstraZeneca Luton, Luton, UK
| | - Pål Hasvold
- Medical Department, AstraZeneca Nordic-Baltic, Oslo, Norway
| | - Em Jennings
- Global Payer Evidence and Pricing, AstraZeneca R&D, Cambridge, UK
| | - Saga Johansson
- Global Medicines Development, AstraZeneca Gothenburg, Mölndal, Sweden
| | - David J. Cohen
- Saint Luke's Mid America Heart Institute, Kansas City, MO, USA
| | - Tomas Jernberg
- Department of Medicine, Karolinska Institutet, Huddinge, Sweden
- Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | - Nicholas Moore
- Department of Pharmacology, CIC Bordeaux CIC1401 INSERM, University of Bordeaux, Bordeaux, France
| | - Magnus Janzon
- Department of Cardiology and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Harry Hemingway
- Farr Institute of Health Informatics Research, University College London, London, UK
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37
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Timmis A, Rapsomaniki E, Chung SC, Pujades-Rodriguez M, Moayyeri A, Stogiannis D, Shah AD, Pasea L, Denaxas S, Emmas C, Hemingway H. Prolonged dual antiplatelet therapy in stable coronary disease: comparative observational study of benefits and harms in unselected versus trial populations. BMJ 2016; 353:i3163. [PMID: 27334486 PMCID: PMC4916922 DOI: 10.1136/bmj.i3163] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To estimate the potential magnitude in unselected patients of the benefits and harms of prolonged dual antiplatelet therapy after acute myocardial infarction seen in selected patients with high risk characteristics in trials. DESIGN Observational population based cohort study. SETTING PEGASUS-TIMI-54 trial population and CALIBER (ClinicAl research using LInked Bespoke studies and Electronic health Records). PARTICIPANTS 7238 patients who survived a year or more after acute myocardial infarction. INTERVENTIONS Prolonged dual antiplatelet therapy after acute myocardial infarction. MAIN OUTCOME MEASURES Recurrent acute myocardial infarction, stroke, or fatal cardiovascular disease. Fatal, severe, or intracranial bleeding. RESULTS 1676/7238 (23.1%) patients met trial inclusion and exclusion criteria ("target" population). Compared with the placebo arm in the trial population, in the target population the median age was 12 years higher, there were more women (48.6% v 24.3%), and there was a substantially higher cumulative three year risk of both the primary (benefit) trial endpoint of recurrent acute myocardial infarction, stroke, or fatal cardiovascular disease (18.8% (95% confidence interval 16.3% to 21.8%) v 9.04%) and the primary (harm) endpoint of fatal, severe, or intracranial bleeding (3.0% (2.0% to 4.4%) v 1.26% (TIMI major bleeding)). Application of intention to treat relative risks from the trial (ticagrelor 60 mg daily arm) to CALIBER's target population showed an estimated 101 (95% confidence interval 87 to 117) ischaemic events prevented per 10 000 treated per year and an estimated 75 (50 to 110) excess fatal, severe, or intracranial bleeds caused per 10 000 patients treated per year. Generalisation from CALIBER's target subgroup to all 7238 real world patients who were stable at least one year after acute myocardial infarction showed similar three year risks of ischaemic events (17.2%, 16.0% to 18.5%), with an estimated 92 (86 to 99) events prevented per 10 000 patients treated per year, and similar three year risks of bleeding events (2.3%, 1.8% to 2.9%), with an estimated 58 (45 to 73) events caused per 10 000 patients treated per year. CONCLUSIONS This novel use of primary-secondary care linked electronic health records allows characterisation of "healthy trial participant" effects and confirms the potential absolute benefits and harms of dual antiplatelet therapy in representative patients a year or more after acute myocardial infarction.
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Affiliation(s)
- A Timmis
- The Farr Institute of Health Informatics Research, University College London, London, UK Barts and The London National Institute for Health Research, Cardiovascular Biomedical Research Unit, Bart's Heart Centre, London, UK
| | - E Rapsomaniki
- The Farr Institute of Health Informatics Research, University College London, London, UK
| | - S C Chung
- The Farr Institute of Health Informatics Research, University College London, London, UK
| | - M Pujades-Rodriguez
- The Farr Institute of Health Informatics Research, University College London, London, UK
| | - A Moayyeri
- The Farr Institute of Health Informatics Research, University College London, London, UK
| | - D Stogiannis
- Department of Mathematics, University of Athens, Athens, Greece
| | - A D Shah
- The Farr Institute of Health Informatics Research, University College London, London, UK
| | - L Pasea
- The Farr Institute of Health Informatics Research, University College London, London, UK
| | - S Denaxas
- The Farr Institute of Health Informatics Research, University College London, London, UK
| | - C Emmas
- AstraZeneca, Luton, Bedfordshire, UK
| | - H Hemingway
- The Farr Institute of Health Informatics Research, University College London, London, UK
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Chung SC, Sundström J, Gale CP, Timmis A, Jernberg T, Hemingway H. Authors' reply to Gupta. BMJ 2015; 351:h5140. [PMID: 26423089 DOI: 10.1136/bmj.h5140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
- Sheng-Chia Chung
- Farr Institute of Health Informatics Research and Institute of Health Informatics, University College London, London NW1 2DA, UK
| | - Johan Sundström
- Cardiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Chris P Gale
- Cardiovascular Health Sciences, University of Leeds, Leeds, UK
| | - Adam Timmis
- National Institute for Health Research, Cardiovascular Biomedical Research Unit, Bart's Health London, London
| | - Tomas Jernberg
- Section of Cardiology, Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Harry Hemingway
- Farr Institute of Health Informatics Research and Institute of Health Informatics, University College London, London NW1 2DA, UK
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Chung SC, Sundström J, Gale CP, James S, Deanfield J, Wallentin L, Timmis A, Jernberg T, Hemingway H. Comparison of hospital variation in acute myocardial infarction care and outcome between Sweden and United Kingdom: population based cohort study using nationwide clinical registries. BMJ 2015; 351:h3913. [PMID: 26254445 PMCID: PMC4528190 DOI: 10.1136/bmj.h3913] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
OBJECTIVE To assess the between hospital variation in use of guideline recommended treatments and clinical outcomes for acute myocardial infarction in Sweden and the United Kingdom. DESIGN Population based longitudinal cohort study using nationwide clinical registries. SETTING AND PARTICIPANTS Nationwide registry data comprising all hospitals providing acute myocardial infarction care in Sweden (SWEDEHEART/RIKS-HIA, n=87; 119,786 patients) and the UK (NICOR/MINAP, n=242; 391,077 patients), 2004-10. MAIN OUTCOME MEASURES Between hospital variation in 30 day mortality of patients admitted with acute myocardial infarction. RESULTS Case mix standardised 30 day mortality from acute myocardial infarction was lower in Swedish hospitals (8.4%) than in UK hospitals (9.7%), with less variation between hospitals (interquartile range 2.6% v 3.5%). In both countries, hospital level variation and 30 day mortality were inversely associated with provision of guideline recommended care. Compared with the highest quarter, hospitals in the lowest quarter for use of primary percutaneous coronary intervention had higher volume weighted 30 day mortality for ST elevation myocardial infarction (10.7% v 6.6% in Sweden; 12.7% v 5.8% in the UK). The adjusted odds ratio comparing the highest with the lowest quarters for hospitals' use of primary percutaneous coronary intervention was 0.70 (95% confidence interval 0.62 to 0.79) in Sweden and 0.68 (0.60 to 0.76) in the UK. Differences in risk between hospital quarters of treatment for non-ST elevation myocardial infarction and secondary prevention drugs for all discharged acute myocardial infarction patients were smaller than for reperfusion treatment in both countries. CONCLUSION Between hospital variation in 30 day mortality for acute myocardial infarction was greater in the UK than in Sweden. This was associated with, and may be partly accounted for by, the higher practice variation in acute myocardial infarction guideline recommended treatment in the UK hospitals. High quality healthcare across all hospitals, especially in the UK, with better use of guideline recommended treatment, may not only reduce unacceptable practice variation but also deliver improved clinical outcomes for patients with acute myocardial infarction. Clinical trials registration Clinical trials NCT01359033.
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Affiliation(s)
- Sheng-Chia Chung
- Farr Institute of Health Informatics Research and Institute of Health Informatics, University College London, London NW1 2DA, UK
| | - Johan Sundström
- Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden Uppsala Clinical Research Center, Uppsala, Sweden
| | - Chris P Gale
- Cardiovascular Health Sciences, University of Leeds, Leeds, UK
| | - Stefan James
- Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden Uppsala Clinical Research Center, Uppsala, Sweden
| | - John Deanfield
- National Centre for Cardiovascular Prevention and Outcomes, London, UK
| | - Lars Wallentin
- Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden Uppsala Clinical Research Center, Uppsala, Sweden
| | - Adam Timmis
- National Institute for Health Research, Cardiovascular Biomedical Research Unit, Bart's Health London, London, UK
| | - Tomas Jernberg
- Department of Medicine, Huddinge, Section of Cardiology, Karolinska Institute, Stockholm, Sweden
| | - Harry Hemingway
- Farr Institute of Health Informatics Research and Institute of Health Informatics, University College London, London NW1 2DA, UK
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Chung SC, Timmis A, Jernberg T, Hemingway H. Survival in acute myocardial infarction - Authors' reply. Lancet 2014; 384:1574-5. [PMID: 25443485 DOI: 10.1016/s0140-6736(14)61982-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Sheng-Chia Chung
- The Farr Institute of Health Informatics Research, Department of Epidemiology & Public Health, University College London, 222 Euston Road, London NW1 2DA, UK.
| | - Adam Timmis
- National Institute for Health Research, Biomedical Research Unit, Bart's Health, London, UK
| | - Tomas Jernberg
- Department of Cardiology, Karolinska University Hospital, Karolinska Institute, Stockholm, Sweden
| | - Harry Hemingway
- The Farr Institute of Health Informatics Research, Department of Epidemiology & Public Health, University College London, 222 Euston Road, London NW1 2DA, UK
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Chung SC, Timmis A, Deanfield J, Jernberg T, Hemingway H. International comparisons of acute myocardial infarction - Authors'reply. Lancet 2014; 384:305-6. [PMID: 25066155 DOI: 10.1016/s0140-6736(14)61238-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Sheng-Chia Chung
- Farr Institute of Health Informatics Research at UCL Partners, University College London, London NW1 2DA, UK.
| | - Adam Timmis
- National Institute for Health Research, Biomedical Research Unit, Bart's Health London, London, UK
| | - John Deanfield
- Centre for Cardiovascular Prevention and Outcomes, University College London, London, UK
| | - Tomas Jernberg
- Department of Cardiology, Karolinska University Hospital, Karolinska Institute, Stockholm, Sweden
| | - Harry Hemingway
- Farr Institute of Health Informatics Research at UCL Partners, University College London, London NW1 2DA, UK
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McNamara RL, Chung SC, Jernberg T, Holmes D, Roe M, Timmis A, James S, Deanfield J, Fonarow GC, Peterson ED, Jeppsson A, Hemingway H. International comparisons of the management of patients with non-ST segment elevation acute myocardial infarction in the United Kingdom, Sweden, and the United States: The MINAP/NICOR, SWEDEHEART/RIKS-HIA, and ACTION Registry-GWTG/NCDR registries. Int J Cardiol 2014; 175:240-7. [PMID: 24882696 PMCID: PMC4112832 DOI: 10.1016/j.ijcard.2014.04.270] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [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: 01/29/2014] [Accepted: 04/30/2014] [Indexed: 01/29/2023]
Abstract
Objectives To compare management of patients with acute non-ST segment elevation myocardial infarction (NSTEMI) in three developed countries with national ongoing registries. Background Results from clinical trials suggest significant variation in care across the world. However, international comparisons in “real world” registries are limited. Methods We compared the use of in-hospital procedures and discharge medications for patients admitted with NSTEMI from 2007 to 2010 using the unselective MINAP/NICOR [England and Wales (UK); n = 137,009], the unselective SWEDEHEART/RIKS-HIA (Sweden; n = 45,069), and the selective ACTION Registry-GWTG/NCDR [United States (US); n = 147,438] clinical registries. Results Patients enrolled among the three registries were generally similar except those in the US who were younger but had higher rates of smoking, diabetes, hypertension, prior heart failure, and prior MI than in Sweden or in UK. Angiography and percutaneous coronary intervention (PCI) were performed more often in the US (76% and 44%) and Sweden (65% and 42%) relative to the UK (32% and 22%). Discharge betablockers were also prescribed more often in the US (89%) and Sweden (89%) than in the UK (76%). In contrast, discharge statins, angiotensin converting enzyme inhibitors/angiotensin receptor blockers (ACEI/ARB), and dual antiplatelet agents (among those not receiving PCI) were higher in the UK (92%, 79%, and 71%) than in the US (85%, 65%, 41%) and Sweden (81%, 69%, and 49%). Conclusions The care for patients with NSTEMI differed substantially among the three countries. These differences in care among countries provide an opportunity for future comparative effectiveness research as well as identify opportunities for global quality improvement.
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Affiliation(s)
- R L McNamara
- Yale University School of Medicine, Cardiovascular Medicine, New Haven, CT, USA.
| | - S C Chung
- Farr Institute of Health Informatics Research @ UCL Partners, University College London, London, UK
| | - T Jernberg
- Dept of Medicine (Huddinge), Cardiology, Karolinska Institutet, and Dept of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | - D Holmes
- Duke Clinical Research Institution, Duke University Medical Center, Durham, NC, USA
| | - M Roe
- Duke Clinical Research Institution, Duke University Medical Center, Durham, NC, USA
| | - A Timmis
- National Institute for Health Research, Biomedical Research Unit, Barts Health London, UK
| | - S James
- Dept. of Medical Sciences, Cardiology and Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | | | - G C Fonarow
- Ronald Reagan-UCLA Medical Center, Los Angeles, CA, USA
| | - E D Peterson
- Duke Clinical Research Institution, Duke University Medical Center, Durham, NC, USA
| | - A Jeppsson
- Sahlgrenska University Hospital, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - H Hemingway
- Farr Institute of Health Informatics Research @ UCL Partners, University College London, London, UK
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Chung SC, Gedeborg R, Nicholas O, James S, Jeppsson A, Wolfe C, Heuschmann P, Wallentin L, Deanfield J, Timmis A, Jernberg T, Hemingway H. Acute myocardial infarction: a comparison of short-term survival in national outcome registries in Sweden and the UK. Lancet 2014; 383:1305-1312. [PMID: 24461715 PMCID: PMC4255068 DOI: 10.1016/s0140-6736(13)62070-x] [Citation(s) in RCA: 228] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND International research for acute myocardial infarction lacks comparisons of whole health systems. We assessed time trends for care and outcomes in Sweden and the UK. METHODS We used data from national registries on consecutive patients registered between 2004 and 2010 in all hospitals providing care for acute coronary syndrome in Sweden and the UK. The primary outcome was all-cause mortality 30 days after admission. We compared effectiveness of treatment by indirect casemix standardisation. This study is registered with ClinicalTrials.gov, number NCT01359033. FINDINGS We assessed data for 119,786 patients in Sweden and 391,077 in the UK. 30-day mortality was 7·6% (95% CI 7·4-7·7) in Sweden and 10·5% (10·4-10·6) in the UK. Mortality was higher in the UK in clinically relevant subgroups defined by troponin concentration, ST-segment elevation, age, sex, heart rate, systolic blood pressure, diabetes mellitus status, and smoking status. In Sweden, compared with the UK, there was earlier and more extensive uptake of primary percutaneous coronary intervention (59% vs 22%) and more frequent use of β blockers at discharge (89% vs 78%). After casemix standardisation the 30-day mortality ratio for UK versus Sweden was 1·37 (95% CI 1·30-1·45), which corresponds to 11,263 (95% CI 9620-12,827) excess deaths, but did decline over time (from 1·47, 95% CI 1·38-1·58 in 2004 to 1·20, 1·12-1·29 in 2010; p=0·01). INTERPRETATION We found clinically important differences between countries in acute myocardial infarction care and outcomes. International comparisons research might help to improve health systems and prevent deaths. FUNDING Seventh Framework Programme for Research, National Institute for Health Research, Wellcome Trust (UK), Swedish Association of Local Authorities and Regions, Swedish Heart-Lung Foundation.
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Affiliation(s)
- Sheng-Chia Chung
- Farr Institute of Health Informatics Research at UCL Partners, University College London, London, UK
| | - Rolf Gedeborg
- Uppsala Clinical Research Centre, Uppsala University, Uppsala, Sweden
| | - Owen Nicholas
- National Institute for Clinical Outcomes Research, University College London, London, UK
| | - Stefan James
- Uppsala Clinical Research Centre, Uppsala University, Uppsala, Sweden; Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden
| | - Anders Jeppsson
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Cardiothoracic Surgery, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Charles Wolfe
- Division of Health and Social Care Research, King's College London, London, UK; National Institute of Health Research Comprehensive Biomedical Research Centre, Guy's & St Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Peter Heuschmann
- Institute for Clinical Epidemiology and Biometry and Comprehensive Heart Failure Centre, University of Würzburg, Würzburg, Germany
| | - Lars Wallentin
- Uppsala Clinical Research Centre, Uppsala University, Uppsala, Sweden; Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden
| | - John Deanfield
- Centre for Cardiovascular Prevention and Outcomes, University College London, London, UK
| | - Adam Timmis
- National Institute for Health Research, Biomedical Research Unit, Bart's Health London, London, UK
| | - Tomas Jernberg
- Department of Medicine, Huddinge, Section of Cardiology, Karolinska Institute, Stockholm, Sweden.
| | - Harry Hemingway
- Farr Institute of Health Informatics Research at UCL Partners, University College London, London, UK.
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Lai CH, Fung HS, Wu WB, Huang HY, Fu HW, Lin SW, Huang SW, Chiu CC, Wang DJ, Huang LJ, Tseng TC, Chung SC, Chen CT, Huang DJ. Highly efficient beamline and spectrometer for inelastic soft X-ray scattering at high resolution. J Synchrotron Radiat 2014; 21:325-332. [PMID: 24562553 DOI: 10.1107/s1600577513030877] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2013] [Accepted: 11/10/2013] [Indexed: 06/03/2023]
Abstract
The design, construction and commissioning of a beamline and spectrometer for inelastic soft X-ray scattering at high resolution in a highly efficient system are presented. Based on the energy-compensation principle of grating dispersion, the design of the monochromator-spectrometer system greatly enhances the efficiency of measurement of inelastic soft X-rays scattering. Comprising two bendable gratings, the set-up effectively diminishes the defocus and coma aberrations. At commissioning, this system showed results of spin-flip, d-d and charge-transfer excitations of NiO. These results are consistent with published results but exhibit improved spectral resolution and increased efficiency of measurement. The best energy resolution of the set-up in terms of full width at half-maximum is 108 meV at an incident photon energy tuned about the Ni L3-edge.
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Affiliation(s)
- C H Lai
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
| | - H S Fung
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
| | - W B Wu
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
| | - H Y Huang
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
| | - H W Fu
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
| | - S W Lin
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
| | - S W Huang
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
| | - C C Chiu
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
| | - D J Wang
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
| | - L J Huang
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
| | - T C Tseng
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
| | - S C Chung
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
| | - C T Chen
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
| | - D J Huang
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
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Liu DG, Chao CH, Chang CH, Juang JM, Liu CY, Chang SH, Chang CF, Chou CK, Tseng CC, Chiang CH, Jean YC, Tang MT, Chung SC, Chang SL. Microbeam MAD Beamline for Challenging Protein Crystallography in TPS. ACTA ACUST UNITED AC 2013. [DOI: 10.1088/1742-6596/425/1/012004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Chung SC, Brooks MM, Rai M, Balk JL, Rai S. Effect of Sahaja yoga meditation on quality of life, anxiety, and blood pressure control. J Altern Complement Med 2012; 18:589-96. [PMID: 22784346 DOI: 10.1089/acm.2011.0038] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE The present study investigates the effect of Sahaja yoga meditation on quality of life, anxiety, and blood pressure control. DESIGN The prospective observational cohort study enrolled two study groups: those receiving treatment from the International Sahaja Yoga Research and Health Center (meditation group) and those receiving treatment from the Mahatma Gandhi Mission Hospital (control group). Researchers measured quality of life, anxiety, and blood pressure before and after treatment. RESULTS Sixty-seven (67) participants in the meditation group and 62 participants in the control group completed the study. The two groups were comparable in demographic and clinical characteristics. At baseline, the meditation group had higher quality of life (p<0.001) than controls but similar anxiety level (p=0.74) to controls. Within-group pre- versus post-treatment comparisons showed significant improvement in quality of life, anxiety, and blood pressure in the meditation group (p<0.001), while in controls, quality of life deteriorated and there was no improvement in blood pressure. The improvement in quality of life, anxiety reduction, and blood pressure control was greater in the meditation group. The beneficial effect of meditation remained significant after adjusting for confounders. CONCLUSIONS Meditation treatment was associated with significant improvements in quality of life, anxiety reduction, and blood pressure control.
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Affiliation(s)
- Sheng-Chia Chung
- Department of Epidemiology and Public Health, University College London, London, UK.
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Chung SC, Hlatky MA, Faxon D, Ramanathan K, Adler D, Mooradian A, Rihal C, Stone RA, Bromberger JT, Kelsey SF, Brooks MM. The effect of age on clinical outcomes and health status BARI 2D (Bypass Angioplasty Revascularization Investigation in Type 2 Diabetes). J Am Coll Cardiol 2011; 58:810-9. [PMID: 21835316 DOI: 10.1016/j.jacc.2011.05.020] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2010] [Revised: 04/12/2011] [Accepted: 05/06/2011] [Indexed: 01/16/2023]
Abstract
OBJECTIVES The purpose of this study was to determine the extent to which effectiveness of cardiac and diabetes treatment strategies varies by patient age. BACKGROUND The impact of age on the effectiveness of revascularization and hyperglycemia treatments has not been thoroughly investigated. METHODS In the BARI 2D (Bypass Angioplasty Revascularization Investigation in Type 2 Diabetes) trial, 2,368 patients with documented stable heart disease and type 2 diabetes were randomized to receive prompt revascularization versus initial medical therapy with deferred revascularization and insulin sensitization versus insulin provision for hyperglycemia treatment. Patients were followed for an average of 5.3 years. Cox regression and mixed models were used to investigate the effect of age and randomized treatment assignment on clinical and health status outcomes. RESULTS The effect of prompt revascularization versus medical therapy did not differ by age for death (interaction p = 0.99), major cardiovascular events (interaction p = 0.081), angina (interaction p = 0.98), or health status outcomes. After intervention, participants of all ages had significant angina and health status improvement. Younger participants experienced a smaller decline in health status during follow-up than older participants (age by time interaction p < 0.01). The effect of the randomized glycemia treatment on clinical and health status outcomes was similar for patients of different ages. CONCLUSIONS Among patients with stable heart disease and type 2 diabetes, the relative beneficial effects of a strategy of prompt revascularization versus initial medical therapy and insulin-sensitizing versus insulin-providing therapy on clinical endpoints, symptom relief, and perceived health status outcomes do not vary by age. Health status improved significantly after treatment for all ages, and this improvement was sustained longer among younger patients. (Bypass Angioplasty Revascularization Investigation in Type 2 Diabetes [BARI 2D]; NCT00006305).
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Chung SC, Hlatky MA, Stone RA, Rana JS, Escobedo J, Rogers WJ, Bromberger JT, Kelsey SF, Brooks MM. Body mass index and health status in the Bypass Angioplasty Revascularization Investigation 2 Diabetes Trial (BARI 2D). Am Heart J 2011; 162:184-92.e3. [PMID: 21742107 DOI: 10.1016/j.ahj.2011.03.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2010] [Accepted: 03/12/2011] [Indexed: 10/18/2022]
Abstract
BACKGROUND The longitudinal association between obesity, weight variability, and health status outcomes is important for patients with coronary disease and diabetes. METHODS The BARI 2D was a multicenter randomized clinical trial designed to evaluate treatment strategies for patients with both documented stable ischemic heart disease and type 2 diabetes. We examined BARI 2D participants for 4 years to study how body mass index (BMI) was associated with health status outcomes. Health status was evaluated by the Duke Activity Status Index (DASI), RAND Energy/fatigue, Health Distress, and Self-rated Health. Body mass index was measured quarterly throughout follow-up years, and health status was assessed at each annual follow-up visit. Variation in BMI measures was separated into between-person and within-person change in longitudinal analysis. RESULTS Higher mean BMI during follow-up years (the between-person BMI) was associated with poorer health status outcomes. Decreasing BMI (the within-person BMI change) was associated with better Self-rated health. The relationships between BMI variability and DASI or Energy appeared to be curvilinear and differed by baseline obesity status. Decreasing BMI was associated with better outcomes if patients were obese at baseline but was associated with poorer DASI and Energy outcomes if patients were nonobese at baseline. CONCLUSIONS For patients with stable ischemic heart disease and diabetes, weight gain was associated with poorer health status outcomes, independent of obesity-related comorbidities. Weight reduction is associated with better functional capacity and perceived energy for obese patients but not for nonobese patients at baseline.
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Brooks MM, Chung SC, Helmy T, Hillegass WB, Escobedo J, Melsop KA, Massaro EM, McBane RD, Hyde P, Hlatky MA. Health status after treatment for coronary artery disease and type 2 diabetes mellitus in the Bypass Angioplasty Revascularization Investigation 2 Diabetes trial. Circulation 2010; 122:1690-9. [PMID: 20937978 DOI: 10.1161/circulationaha.109.912642] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Health status is a key outcome for comparing treatments, particularly when mortality does not differ significantly. METHODS AND RESULTS Bypass Angioplasty Revascularization Investigation 2 Diabetes (BARI 2D) randomized 2368 patients with type 2 diabetes mellitus and stable ischemic heart disease to (1) prompt revascularization versus medical therapy and (2) insulin sensitization versus insulin provision. Randomization was stratified by the intended method of revascularization, coronary artery bypass graft surgery or percutaneous coronary intervention. The Duke Activity Status Index and RAND Energy, Health Distress, and Self-Rated Health scales were assessed at study entry and annually thereafter; linear mixed models were used to evaluate the effect of randomized treatment on these measures. Health status improved significantly from baseline to 1 year (P<0.001) in each randomized treatment group. Compared with medical therapy, prompt revascularization was associated with significantly greater improvements in Duke Activity Status Index (1.32 points; P<0.001), Energy (1.36 points; P=0.02), and Self-rated Health (1.77 points; P=0.007) but not Health Distress (-0.47; P=0.46). These treatment effects were largely maintained over 4 years of follow-up. The effect of revascularization on the Duke Activity Status Index was significantly larger in the subgroup of patients intended for coronary artery bypass graft surgery compared with the subgroup intended for percutaneous coronary intervention. Health status did not differ significantly on any of the 4 measures between the insulin provision and insulin sensitization strategies. CONCLUSIONS Prompt coronary revascularization was associated with small yet statistically significant improvements in health status compared with initial medical therapy among patients with diabetes mellitus and stable ischemic heart disease. CLINICAL TRIAL REGISTRATION http://www.clinicaltrials.gov. Unique identifier: NCT00006305.
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Affiliation(s)
- Maria Mori Brooks
- Department of Epidemiology, University of Pittsburgh, GSPH, 130 DeSoto St, Pittsburgh, PA 15261, USA.
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Abstract
Employee stress leads to attrition, burnout, and increased medical costs. We aimed to assess if relaxation training leads to decreased stress levels based on questionnaire and thermal biofeedback. Thirty-minute relaxation training sessions were conducted for hospital employees and for cancer patients. Perceived Stress levels and skin temperature were analyzed before and after relaxation training.
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Affiliation(s)
- Judith L Balk
- University of Pittsburgh School of Medicine, Magee-Womens Hospital, PA, USA
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