医学
纵向研究
危险系数
冲程(发动机)
比例危险模型
动脉硬化
健康与退休研究
人口学
脉冲波速
前瞻性队列研究
老年学
心血管健康
队列研究
置信区间
内科学
血压
疾病
机械工程
社会学
工程类
病理
作者
Yingzhen Gu,Xiaorong Han,Jinxing Liu,Yifan Li,Wei Zhang,Xiaopeng Yuan,Xiao Wang,Naqiang Lv,Aimin Dang
标识
DOI:10.1161/jaha.124.038376
摘要
Background Arterial stiffness is recognized as a new risk factor for stroke. However, the association between estimated pulse wave velocity (ePWV), a well‐established indirect measure of arterial stiffness and stroke among older adults, remains incompletely investigated. Methods This study utilized data from 3 prospective, nationally representative cohorts: the Health and Retirement Study in the United States, the English Longitudinal Study of Aging in the United Kingdom, and the China Health and Retirement Longitudinal Study in China. ePWV was calculated based on age and mean arterial pressure. Cox proportional hazard models were used to compute hazard ratios and 95% CIs. Results The final analysis included 6458 participants from the Health and Retirement Study (mean age: 66.99 years; 40.4% men), 6458 from the English Longitudinal Study of Aging (mean age: 66.32; 44.4% men), and 12 415 from the China Health and Retirement Longitudinal Study (mean age: 58.60; 46.2% men). Over follow‐up periods of 10.28 years in the Health and Retirement Study, 9.95 years in the English Longitudinal Study of Aging, and 6.30 years in the China Health and Retirement Longitudinal Study, 624 (9.7%), 374 (5.8%), and 656 (5.3%) participants developed stroke, respectively. Fully adjusted Cox regression analysis revealed a significant association between ePWV and incident stroke across all cohorts (Health and Retirement Study: hazard ratio, 1.29 [95% CI, 1.24–1.35]; English Longitudinal Study of Aging: hazard ratio, 1.37 [95% CI, 1.28–1.46]; China Health and Retirement Longitudinal Study: hazard ratio, 1.20 [95% CI, 1.15–1.25]). Conclusions This study demonstrated that higher levels of ePWV were associated with increased risks of incident stroke among middle‐aged and older populations. Arterial stiffness assessment through ePWV could potentially improve primary prevention and treatment strategies for stroke.
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