Frailty index changes before and after incident cardiovascular disease

心血管疾病发生前后衰弱指数的变化

阅读:1

Abstract

BACKGROUND: Cardiovascular disease (CVD) and frailty are interrelated conditions prevalent in aging populations, yet their dynamic temporal relationship remains underexplored. This study investigates longitudinal changes in frailty trajectories before and after incident CVD across diverse cohorts. METHODS: Utilizing data from four longitudinal, multinational cohorts (ELSA, HRS, CHARLS, SHARE; n = 66,537), we constructed the frailty index (FI) based on age-related health deficits, using 40, 40, 42, and 44 items from ELSA, HRS, CHARLS and SHARE, respectively. Linear mixed models assessed FI changes pre- and post-CVD, adjusting for demographics, lifestyle, and baseline FI. Sensitivity analyses excluded hypertension, diabetes, and arthritis to mitigate confounding. RESULTS: Frailty increased steadily before CVD onset (pre-CVD slope: ELSA β = 0.005, HRS β = 0.005, CHARLS β = 0.012, SHARE β = 0.007; all P < 0.001), with an acute FI spike at diagnosis (post-CVD acute change: ELSA β = 0.024, HRS β = 0.031, CHARLS β = 0.046, SHARE β = 0.038; all P < 0.001). Post-CVD, frailty progression further accelerated (ELSA β = 0.008, HRS β = 0.005, CHARLS β = 0.017, SHARE β = 0.010; all P < 0.001). Sensitivity analyses confirmed robustness across age strata and FI definitions. CONCLUSIONS: This first multinational study demonstrates bidirectional acceleration of frailty around CVD onset, highlighting their close temporal interplay. These findings suggest that incorporating frailty assessment into CVD management may help identify high-risk individuals and support timely, multidimensional care in aging populations.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。