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使用伯格平衡量表预测社区居住老年人多次跌倒:一项前瞻性研究。

Use of the Berg Balance Scale for predicting multiple falls in community-dwelling elderly people: a prospective study.

作者信息

Muir Susan W, Berg Katherine, Chesworth Bert, Speechley Mark

机构信息

Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, Kresge Building, London, Ontario, Canada N6A 5C1.

出版信息

Phys Ther. 2008 Apr;88(4):449-59. doi: 10.2522/ptj.20070251. Epub 2008 Jan 24.

Abstract

BACKGROUND AND PURPOSE

Falls are a significant public health concern for older adults; early identification of people at high risk for falling facilitates the provision of rehabilitation treatment to reduce future fall risk. The objective of this prospective cohort study was to examine the predictive validity of the Berg Balance Scale (BBS) for 3 types of outcomes-any fall (> or =1 fall), multiple falls (> or =2 falls), and injurious falls-by use of sensitivity, specificity, receiver operating characteristic (ROC) curves, area under the curve, and likelihood ratios.

SUBJECTS AND METHODS

A sample of 210 community-dwelling older adults received a comprehensive geriatric assessment at baseline, which included the BBS to measure balance. Data on prospective falls were collected monthly for a year. The predictive validity of the BBS for the identification of future fall risk was evaluated.

RESULTS

The BBS had good discriminative ability to predict multiple falls when ROC analysis was used. However, the use of the BBS as a dichotomous scale, with a threshold of < or =45, was inadequate for the identification of the majority of people at risk for falling in the future, with sensitivities of 25% and 45% for any fall and for multiple falls, respectively. The use of likelihood ratios, maintaining the BBS as a multilevel scale, demonstrated a gradient of risk across scores, with fall risk increasing as scores decreased.

DISCUSSION AND CONCLUSION

The use of the BBS as a dichotomous scale to identify people at high risk for falling should be discouraged because it fails to identify the majority of such people. The predictive validity of this scale for multiple falls is superior to that for other types of falls, and the use of likelihood ratios preserves the gradient of risk across the whole range of scores.

摘要

背景与目的

跌倒对老年人而言是一个重大的公共卫生问题;尽早识别高跌倒风险人群有助于提供康复治疗以降低未来的跌倒风险。这项前瞻性队列研究的目的是通过敏感性、特异性、受试者工作特征(ROC)曲线、曲线下面积和似然比,检验伯格平衡量表(BBS)对三种类型结局——任何跌倒(≥1次跌倒)、多次跌倒(≥2次跌倒)和致伤性跌倒——的预测效度。

对象与方法

210名社区居住的老年人样本在基线时接受了全面的老年综合评估,其中包括用BBS测量平衡能力。前瞻性跌倒数据在一年时间里每月收集一次。评估了BBS对识别未来跌倒风险的预测效度。

结果

当采用ROC分析时,BBS在预测多次跌倒方面具有良好的判别能力。然而,将BBS用作二分制量表,阈值设定为≤45时,不足以识别未来大多数有跌倒风险的人群,对于任何跌倒和多次跌倒的敏感性分别为25%和45%。使用似然比并将BBS保持为多级量表,显示出各分数段的风险梯度,随着分数降低跌倒风险增加。

讨论与结论

不应鼓励使用BBS作为二分制量表来识别高跌倒风险人群,因为它无法识别大多数此类人群。该量表对多次跌倒的预测效度优于对其他类型跌倒的预测效度,并且使用似然比可保留整个分数范围内的风险梯度。

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