对于所有原因的死亡率,sarcopenia组件的预测值:来自基于人口的队列的发现
Leo D Westbury1, Nicholas C Harvey2,3, Charlotte Beaudart4
1MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.
Aging clinical and experimental research
|June 6, 2024
概括
低握力和步行速度与死亡风险有关. 虽然这些措施提供了一些额外的预测价值,但当考虑其他临床因素时,它们的影响是适度的.
科学领域:
- 老年学是一门学科.
- 流行病学 流行病学
- 临床医学 临床医学
背景情况:
- 低握力和步行速度是已知的与死亡风险增加相关的指标.
- 然而,这些物理测量措施在多大程度上独立地预测了超出已确定的风险因素的死亡率,需要进一步调查.
研究的目的:
- 评估握力和步行速度是否提高死亡风险的预测.
- 这项研究旨在确定这些身体功能测量是否提供了比常见的临床风险因素更大的区分能力.
主要方法:
- 分析了三项大型队列研究 (健康,衰老和身体组成;男性骨质疏松性骨折;赫特福德郡队列研究) 的数据.
- 测量了握力和步行速度,以及尾肌肉质量 (ALM). 收集了死亡率数据,并使用了考克斯回归模型.
- 对死亡率的区分能力使用一致性指数 (C指数) 进行评估.
主要成果:
- 在一个由8362名参与者组成的队列中 (平均年龄为73.8岁),62.6%的人在平均随访时间为13.3年后死亡.
- 握力降低 (HR/SD下降: 1.14) 和步行速度降低 (HR/SD下降: 1.21) 与死亡率显著相关.
- 尾瘦肉质量指数没有显示出与死亡率的显著关联 (HR: 1.01).
- 一个使用年龄和性别的模型预测了0.65的C指数的死亡率;包括握力和步行速度增加了0.67.
结论:
- 握力和步行速度为死亡风险预测提供了适度的增量信息.
- 这些物理测量与更广泛的随时可用的临床风险因素相比,提供了有限的额外预测价值.
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