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**压力中心位移特征可区分老年人的跌倒风险:系统评价与荟萃分析**

Center of pressure displacement characteristics differentiate fall risk in older people: A systematic review with meta-analysis.

机构信息

Centre Borelli UMR 9010/Université Paris-Saclay, ENS Paris-Saclay, CNRS, SSA, Inserm, Université de Paris 45 rue des Saints Pères, 75006 PARIS, France; ORPEA Group, 12 rue Jean Jaurès, CS 10032, 92813 Puteaux Cedex, France.

Centre Borelli UMR 9010/Université Paris-Saclay, ENS Paris-Saclay, CNRS, SSA, Inserm, Université de Paris 45 rue des Saints Pères, 75006 PARIS, France.

出版信息

Ageing Res Rev. 2020 Sep;62:101117. doi: 10.1016/j.arr.2020.101117. Epub 2020 Jun 19.

Abstract

Falling is the second most prevalent cause of accidental death in the world. Currently available clinical tests to assess balance in older people are insufficiently sensitive to screen for fall risk in this population. Laboratory tests that record the center of pressure (COP) trajectory could overcome this problem but despite their widespread use, the choice of COP trajectory features for use as a biomarker of fall risk lacks consensus. This systematic review and meta-analysis aimed at identifying the best COP characteristics to predict risk of falling in older adults. More than 4000 articles were screened; 44 (7176 older adults) were included in this study. Several COP parameters emerged as good indices to discriminate fallers from non-fallers. From sensitivity analysis, Sway area per unit time, anteroposterior mean velocity, and radial mean velocity were the best traditional features. In this study, identification of older people with a high fall risk was demonstrated using quiet-standing recordings. Such screening would also be useful for routine follow-up of balance changes in older fallers in clinical practice.

摘要

跌倒已成为全球范围内第二大常见的意外致死原因。目前,用于评估老年人平衡能力的临床测试不够敏感,无法筛查出此类人群的跌倒风险。记录压力中心(COP)轨迹的实验室测试可以克服这一问题,但尽管这些测试已被广泛应用,用于预测跌倒风险的 COP 轨迹特征的选择仍未达成共识。本系统综述和荟萃分析旨在确定用于预测老年人跌倒风险的最佳 COP 特征。共筛选了 4000 多篇文章,其中 44 篇(7176 名老年人)纳入本研究。多项 COP 参数可作为区分跌倒者和非跌倒者的良好指标。通过敏感性分析,单位时间内的摆动面积、前后向平均速度和径向平均速度是最好的传统特征。本研究通过静立位记录证实了可识别高跌倒风险的老年人。这种筛查方法也有助于在临床实践中对跌倒老年人的平衡变化进行常规随访。

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