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体质健康指标可提高中老年人心血管疾病和全因死亡率预测能力:一项全国性基于人群的研究。

Physical Health Indicators Improve Prediction of Cardiovascular and All-cause Mortality among Middle-Aged and Older People: a National Population-based Study.

机构信息

Aging and Health Research Center, National Yang Ming University, Taipei, Taiwan.

Institute of Public Health, National Yang Ming University, Taipei, Taiwan.

出版信息

Sci Rep. 2017 Jan 12;7:40427. doi: 10.1038/srep40427.

Abstract

The effectiveness of established methods for stratifying cardiovascular risk, for example, the Framingham risk score (FRS), may be improved by adding extra variables. This study evaluated the potential benefits of adding physical health indicators (handgrip strength, walking speed, and peak expiratory flow) to the FRS in predicting cardiovascular and all-cause mortality by using a nationwide population-based cohort study data. During median follow-up of 4.1 years, 67 of 911 study subjects had died. In Cox regression analysis, all additional physical health indicators, except walking speed, significantly predicted cardiovascular and all-cause mortality (P < 0.05). Compared with the conventional FRS, c statistics were significantly increased when dominant handgrip strength or relative handgrip strength (handgrip strength adjusted for body mass index), or combination with walking speed or peak expiratory flow were incorporated into the FRS prediction model, both in the whole cohort and also in participants who did not have prevalent cardiovascular diseases at baseline. In conclusion, dominant or relative handgrip strength are simple and inexpensive physical health indicators that substantially improve the accuracy of the FRS in predicting cardiovascular and all-cause mortality among middle-aged and older people.

摘要

既定的心血管风险分层方法(例如 Framingham 风险评分(FRS))的有效性可以通过添加额外的变量来提高。本研究使用全国范围内基于人群的队列研究数据,评估了将身体健康指标(握力、步行速度和呼气峰值流量)添加到 FRS 中预测心血管和全因死亡率的潜在益处。在中位随访 4.1 年期间,911 名研究对象中有 67 人死亡。在 Cox 回归分析中,除步行速度外,所有其他身体健康指标均显著预测心血管和全因死亡率(P<0.05)。与传统的 FRS 相比,当将优势手握力或相对手握力(根据体重指数调整的握力)或与步行速度或呼气峰值流量相结合纳入 FRS 预测模型时,无论是在整个队列中还是在基线时没有心血管疾病的参与者中,C 统计量均显著增加。总之,优势或相对握力是简单且经济实惠的身体健康指标,可以显著提高 FRS 在预测中年及以上人群心血管和全因死亡率的准确性。

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