当前位置: X-MOL 学术J. Stroke Cerebrovasc. Dis. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Effective Combined Assessments of Weight Bearing Ratio and Four Square Step Test in Predicting Falls in Discharged Stroke Patients
Journal of Stroke & Cerebrovascular Diseases ( IF 2.5 ) Pub Date : 2020-12-30 , DOI: 10.1016/j.jstrokecerebrovasdis.2020.105582
Yoshinobu Yoshimoto , Mamoru Tanaka , Asuka Sakamoto

Background

We aimed to determine whether combined assessments of single movement tasks could predict falls in community dwelling people with stroke and it was more precision than the berg balance Scale consists of 14 movements.

Methods

This prospective cohort study performed at five rehabilitation hospitals in Japan. Participants comprised 78 patients with ambulatory stroke. The single movement task assessments performed at discharge and included the weight bearing ratio, the 30-second chair standing test, the one-leg standing time, the four square step test and the timed up and go test. The results were used to derive a logistic regression equation to predict falls within 6 months from discharge. Area under the curve was used to compare prediction accuracy between the logistic regression equation and the berg balance Scale.

Results

Overall, fifteen participants experienced a fall. The weight bearing ratio of the unaffected side and four square step test were observed to be significant assessments identified from the logistic regression analysis. The Area under the curve of the combined tests of weight bearing ratio of the unaffected side and four square step test was 0.78, which was higher than the than that of the berg balance Scale (0.70).

Conclusions

This study found that a combined assessment using single movement tasks including the weight bearing ratio of the unaffected side and four square step test predicted falls in people with stroke post-discharge more precisely than the berg balance Scale.



中文翻译:

有效的评估体重比和四平方台阶试验相结合的预测出院卒中患者跌倒的能力

背景

我们的目的是确定对单个动作任务的综合评估是否可以预测卒中患者在社区中的下落,其准确性要比伯格平衡量表由14个动作组成。

方法

这项前瞻性队列研究在日本的五家康复医院进行。参与者包括78例动态性中风患者。出院时进行的单次运动任务评估包括:承重比,30秒的椅子站立测试,单腿站立时间,四平方步测试和定时起跑测试。结果用于导出逻辑回归方程,以预测出院后6个月内的跌倒情况。曲线下的面积用于比较逻辑回归方程和berg平衡量表之间的预测准确性。

结果

总体而言,有15名参与者跌倒了。观察到未受影响侧的承重比和四平方步检验是通过逻辑回归分析确定的重要评估。未受影响侧和四方格试验的组合重量比测试的曲线下面积为0.78,高于冰山天平秤(0.70)的曲线下面积。

结论

这项研究发现,使用单个运动任务(包括未受影响侧的负重比和四平方步检验)进行的综合评估预测的中风后出院患者的跌倒比berg平衡量表更精确。

更新日期:2020-12-31
down
wechat
bug