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使用静态姿势描记法预测老年人跌倒风险。

Elderly fall risk prediction using static posturography.

作者信息

Howcroft Jennifer, Lemaire Edward D, Kofman Jonathan, McIlroy William E

机构信息

Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada.

Centre for Rehabilitation Research and Development, Ottawa Hospital Research Institute, Ottawa, Canada.

出版信息

PLoS One. 2017 Feb 21;12(2):e0172398. doi: 10.1371/journal.pone.0172398. eCollection 2017.

Abstract

Maintaining and controlling postural balance is important for activities of daily living, with poor postural balance being predictive of future falls. This study investigated eyes open and eyes closed standing posturography with elderly adults to identify differences and determine appropriate outcome measure cut-off scores for prospective faller, single-faller, multi-faller, and non-faller classifications. 100 older adults (75.5 ± 6.7 years) stood quietly with eyes open and then eyes closed while Wii Balance Board data were collected. Range in anterior-posterior (AP) and medial-lateral (ML) center of pressure (CoP) motion; AP and ML CoP root mean square distance from mean (RMS); and AP, ML, and vector sum magnitude (VSM) CoP velocity were calculated. Romberg Quotients (RQ) were calculated for all parameters. Participants reported six-month fall history and six-month post-assessment fall occurrence. Groups were retrospective fallers (24), prospective all fallers (42), prospective fallers (22 single, 6 multiple), and prospective non-fallers (47). Non-faller RQ AP range and RQ AP RMS differed from prospective all fallers, fallers, and single fallers. Non-faller eyes closed AP velocity, eyes closed VSM velocity, RQ AP velocity, and RQ VSM velocity differed from multi-fallers. RQ calculations were particularly relevant for elderly fall risk assessments. Cut-off scores from Clinical Cut-off Score, ROC curves, and discriminant functions were clinically viable for multi-faller classification and provided better accuracy than single-faller classification. RQ AP range with cut-off score 1.64 could be used to screen for older people who may fall once. Prospective multi-faller classification with a discriminant function (-1.481 + 0.146 x Eyes Closed AP Velocity-0.114 x Eyes Closed Vector Sum Magnitude Velocity-2.027 x RQ AP Velocity + 2.877 x RQ Vector Sum Magnitude Velocity) and cut-off score 0.541 achieved an accuracy of 84.9% and is viable as a screening tool for older people at risk of multiple falls.

摘要

维持和控制姿势平衡对于日常生活活动很重要,姿势平衡差预示着未来可能会跌倒。本研究对老年人进行了睁眼和闭眼站立姿势描记法调查,以识别差异,并确定适用于未来跌倒者、单次跌倒者、多次跌倒者和非跌倒者分类的合适结局指标截断分数。100名老年人(75.5±6.7岁)先睁眼安静站立,然后闭眼,同时收集Wii平衡板数据。计算前后(AP)和内外侧(ML)压力中心(CoP)运动范围;AP和ML CoP距均值的均方根距离(RMS);以及AP、ML和矢量和幅度(VSM)CoP速度。计算所有参数的罗姆伯格商数(RQ)。参与者报告了六个月的跌倒史和评估后六个月的跌倒发生情况。分组为回顾性跌倒者(24人)、前瞻性所有跌倒者(42人)、前瞻性跌倒者(22名单次跌倒、6名多次跌倒)和前瞻性非跌倒者(47人)。非跌倒者的RQ AP范围和RQ AP RMS与前瞻性所有跌倒者、跌倒者和单次跌倒者不同。非跌倒者的闭眼AP速度、闭眼VSM速度、RQ AP速度和RQ VSM速度与多次跌倒者不同。RQ计算对于老年人跌倒风险评估尤为重要。临床截断分数、ROC曲线和判别函数得出的截断分数在临床上对多次跌倒者分类可行,且比单次跌倒者分类具有更高的准确性。截断分数为1.64的RQ AP范围可用于筛查可能跌倒一次的老年人。具有判别函数(-1.481 + 0.146×闭眼AP速度 - 0.114×闭眼矢量和幅度速度 - 2.027×RQ AP速度 + 2.877×RQ矢量和幅度速度)且截断分数为0.541 的前瞻性多次跌倒者分类的准确率达到84.9%,可作为筛查有多次跌倒风险老年人的可行工具。

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Elderly fall risk prediction using static posturography.使用静态姿势描记法预测老年人跌倒风险。
PLoS One. 2017 Feb 21;12(2):e0172398. doi: 10.1371/journal.pone.0172398. eCollection 2017.

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