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

机译:身体健康指标改善对中老年人的心血管疾病和全因死亡率的预测:一项基于全国人口的研究

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摘要

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.
机译:通过添加额外的变量,可以提高已建立的将心血管风险分层的方法(例如,弗雷明汉风险评分(FRS))的有效性。这项研究通过使用全国性的人群队列研究数据,评估了向FRS添加身体健康指标(握力,步行速度和呼气峰流量)对预测心血管和全因死亡率的潜在益处。在4.1年的中位随访期间,有911名研究对象中的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能显着预测心血管疾病和全因死亡率(P <0.05)。与传统的FRS相比,将FSR预测模型中的主要手握强度或相对手握强度(根据体重指数调整后的手握强度),或与步行速度或最大呼气量相结合,c统计量均显着增加人群,以及基线时未患心血管疾病的参与者。总之,主要或相对的握力强度是简单且便宜的身体健康指标,可显着提高FRS预测中老年人心血管和全因死亡率的准确性。

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