期刊
STROKE
卷 50, 期 3, 页码 563-570出版社
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/STROKEAHA.118.023264
关键词
air pollution; machine learning; nitrogen dioxide; particulate matter; proportional hazards models
资金
- Beijing Municipal Administration of Hospitals' Mission Plan [SML20150502]
- Beijing Municipal Science & Technology Commission of China [D151100002015003]
- National Key Research and Development Program of the Ministry of Science and Technology of The People's Republic of China [2016YFC0901001, 2016YFC0901002]
- Career Development Fellowship of Australian National Health and Medical Research Council (NHMRC) [APP1107107]
- Early Career Fellowship of National Health and Medical Research Council [APP1109193]
- National Health and Medical Research Council Centre of Research Excellence-Centre for Air quality and health Research and evaluation [APP1030259]
- China Scholarship Council (CSC)
- United States Environmental Protection Agency [RD83587101]
- National Institutes of Health [R01MD012769]
Background and Purpose-China bears a heavy burden of stroke because of its large population of elderly people and the propensity for stroke. Previous studies have examined the association between air pollution and stroke mortality or hospital admission. However, the global evidence for adverse effects of air pollution on survival after stroke is scarce. Methods-We used the first national hospital-based prospective registry cohort of stroke in China, which included 12 291 ischemic stroke patients who visited hospitals during 2007 to 2008. All patients were followed for 1-year poststroke. Deaths during the follow-up period were recorded. Participants' 3-year prestroke exposures to ambient PM1, PM2.5, PM10 (particulate matter with aerodynamic diameters <= 1, <= 2.5, and <= 10 mu m, respectively) and NO2 (nitrogen dioxide) were estimated by machine learning algorithms with satellite remote sensing, land use information, and meteorological data. Cox proportional hazards models were used to examine the association between air pollution and survival after ischemic stroke. Results-In total, 1649 deaths were identified during the 1-year follow-up period. After controlling for potential confounders, significant associations were observed between exposure to PM1 and PM2.5 and incident fatal ischemic stroke. The corresponding hazard ratios and 95% CIs associated with 10 mu g/m(3) increase in PM1 and PM2.5 were 1.05 (1.02-1.09) and 1.03 (1.00-1.06), respectively. No significant association was observed for PM10 or NO2 (hazard ratios and 95% CIs, 1.01 [1.00-1.03] and 1.03 [0.99-1.06], respectively). Higher hazard ratios (and 95% CIs) were observed for male, elderly and obese individuals. Conclusions-Prestroke exposure to PM1 and PM2.5 was associated with increased incident fatal ischemic stroke in the year following an ischemic stroke in China. Improved air quality may be beneficial for people to recover from stroke.
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