Association between traditional cardiovascular risk factors and mortality in the oldest old: untangling the role of frailty

传统心血管危险因素与高龄老人死亡率之间的关联:揭示虚弱症的作用

阅读:1

Abstract

BACKGROUND: To date, there is no consensus regarding cardiovascular risk management in the very old. Studies have shown that the relationship between traditional cardiovascular risk factors and mortality is null or even inverted within this age group. This relationship could be modified by the presence of frailty. This study was performed to examine the effect of frailty on the association between cardiovascular risk factors and mortality in the oldest old. METHODS: The BELFRAIL study is a prospective, observational, population-based cohort study of 567 subjects aged 80 years and older. Data on cardiovascular risk factors were recorded. Frailty was assessed using three different models: the Groningen Frailty Indicator, Fried and Puts models. Participants were considered robust if they were 'not frail' according to all three models, and frail if they met the frailty criteria for one of the three models. The follow-up data on mortality and cause of death were registered. RESULTS: No cardiovascular risk factor was associated with mortality in subjects with and without cardiovascular disease. The presence of frailty was a strong risk factor for mortality [HR: 2.5, 95%CI: (1.9-3.2) for all-cause mortality; HR: 2.2, 95%CI: (1.4-3.4) for cardiovascular mortality]. In robust patients, a history of cardiovascular disease increased the risk for mortality [HR: 1.7, 95%CI: (1.1-2.5) for all-cause mortality; HR: 2.2, 95%CI: (1.2-3.9) for cardiovascular mortality]. In frail patients, there was no association between any of the traditional risk factors and mortality. CONCLUSIONS: Traditional cardiovascular risk factors were not associated with mortality in very old subjects. Frailty was shown to be a strong risk factor for mortality in this age group. However, frailty could not be used to identify additional subjects who might benefit more from cardiovascular risk management.

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。