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Global, regional, and national burden of stroke, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016

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机构: [1]Univ Washington, Inst Hlth Metr & Evaluat, Seattle, WA 98195 USA [2]Univ Washington, Dept Hlth Metr Sci, Seattle, WA 98195 USA [3]Univ Washington, Dept Neurol, Seattle, WA 98195 USA [4]Univ Washington, Div Cardiol, Dept Med, Seattle, WA 98195 USA [5]Haramaya Univ, Sch Pharm, Harar, Ethiopia [6]Haramaya Univ, Harar, Ethiopia [7]Cairo Univ, Dept Neurol, Cairo, Egypt [8]Mekelle Univ, Clin Pharm Unit, Mekelle, Ethiopia [9]Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Beijing, China [10]School of Medicine, Nanjing University, Nanjing, China [11]Global Health Institute,Department of Preventive Medicine,Department of Epidemiology and Biostatistics,Wuhan University, Wuhan, China.
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Background Stroke is a leading cause of mortality and disability worldwide and the economic costs of treatment and post-stroke care are substantial. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic, comparable method of quantifying health loss by disease, age, sex, year, and location to provide information to health systems and policy makers on more than 300 causes of disease and injury, including stroke. The results presented here are the estimates of burden due to overall stroke and ischaemic and haemorrhagic stroke from GBD 2016. Methods We report estimates and corresponding uncertainty intervals (UIs), from 1990 to 2016, for incidence, prevalence, deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs). DALYs were generated by summing YLLs and YLDs. Cause-specific mortality was estimated using an ensemble modelling process with vital registration and verbal autopsy data as inputs. Non-fatal estimates were generated using Bayesian meta-regression incorporating data from registries, scientific literature, administrative records, and surveys. The Socio-demographic Index (SDI), a summary indicator generated using educational attainment, lagged distributed income, and total fertility rate, was used to group countries into quintiles. Findings In 2016, there were 5.5 million (95% UI 5.3 to 5.7) deaths and 116.4 million (111.4 to 121.4) DALYs due to stroke. The global age-standardised mortality rate decreased by 36.2% (-39.3 to -33.6) from 1990 to 2016, with decreases in all SDI quintiles. Over the same period, the global age-standardised DALY rate declined by 34.2% (-37.2 to -31.5), also with decreases in all SDI quintiles. There were 13.7 million (12.7 to 14.7) new stroke cases in 2016. Global age-standardised incidence declined by 8.1% (-10.7 to -5.5) from 1990 to 2016 and decreased in all SDI quintiles except the middle SDI group. There were 80.1 million (74.1 to 86.3) prevalent cases of stroke globally in 2016; 41.1 million (38.0 to 44.3) in women and 39.0 million (36.1 to 42.1) in men. Interpretation Although age-standardised mortality rates have decreased sharply from 1990 to 2016, the decrease in age-standardised incidence has been less steep, indicating that the burden of stroke is likely to remain high. Planned updates to future GBD iterations include generating separate estimates for subarachnoid haemorrhage and intracerebral haemorrhage, generating estimates of transient ischaemic attack, and including atrial fibrillation as a risk factor. Copyright (C) 2019 The Author(s). Published by Elsevier Ltd.

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基金编号: MC_UU_12026/3 MC_U137686857 MR/S011676/1 MR/R024227/1

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出版当年[2018]版:
大类 | 1 区 医学
小类 | 1 区 临床神经病学
最新[2023]版:
大类 | 1 区 医学
小类 | 1 区 临床神经病学
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出版当年[2017]版:
Q1 CLINICAL NEUROLOGY
最新[2023]版:
Q1 CLINICAL NEUROLOGY

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第一作者机构: [1]Univ Washington, Inst Hlth Metr & Evaluat, Seattle, WA 98195 USA [*1]Dr Catherine O Johnson, Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98121, USA
通讯作者:
通讯机构: [1]Univ Washington, Inst Hlth Metr & Evaluat, Seattle, WA 98195 USA [*1]Dr Catherine O Johnson, Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98121, USA [*2]National Institute for Stroke and Applied Neurosciences, School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences, AUT University, Northcote, Auckland 0627, New Zealand
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