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Grip Strength and Walking Pace and Cardiovascular Disease Risk Prediction in 406,834 UK Biobank Participants

医学 握力 生命银行 步伐 物理疗法 内科学 最佳步行速度 动脉粥样硬化性心血管疾病 物理医学与康复 疾病 老年学 生物信息学 大地测量学 生物 地理
作者
Claire E. Welsh,Carlos Celis‐Morales,Frederick K. Ho,Rosemary Brown,Daniel Mackay,Donald M. Lyall,Jana Anderson,Jill P. Pell,Jason M. R. Gill,Naveed Sattar,Paul Welsh,Stuart R. Gray
出处
期刊:Mayo Clinic Proceedings [Elsevier BV]
卷期号:95 (5): 879-888 被引量:66
标识
DOI:10.1016/j.mayocp.2019.12.032
摘要

Objective To investigate whether the addition of grip strength and/or self-reported walking pace to established cardiovascular disease (CVD) risk scores improves their predictive abilities. Patients and Methods A total of 406,834 participants from the UK Biobank, with baseline measurements between March 13, 2006, and October 1, 2010, without CVD at baseline were included in this study. Associations of grip strength and walking pace with CVD outcomes were investigated using Cox models adjusting for classical risk factors (as included in established risk scores), and predictive utility was determined by changes in C-index and categorical net reclassification index. Results Over a median of 8.87 years of follow-up (interquartile range 3, 8.25-9.47 years), there were 7274 composite fatal/nonfatal events (on the basis of the American College of Cardiology/American Heart Association [ACC/AHA] outcome) and 1955 fatal events (on the basis of the Systematic Coronary Risk Evaluation [SCORE] risk score). Both grip strength and walking pace were inversely associated with CVD outcomes after adjusting for classical risk factors. Addition of grip strength (change in C-index: ACC/AHA, +0.0017; SCORE, +0.0047), usual walking pace (ACC/AHA, +0.0031; SCORE, +0.0130), and both combined (ACC/AHA, +0.0041; SCORE, +0.0148) improved the C-index and also improved the net reclassification index (grip, +0.55%; walking pace, +0.53%; combined, 1.12%). Conclusion The present study has found that the addition of grip strength or usual walking pace to existing risk scores results in improved CVD risk prediction, with an additive effect when both are added. As both these measures are cheap and easy to administer, these tools could provide an important addition to CVD risk screening, although further external validation is required.
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