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在慢性卒中上肢康复机器人训练中,Fugl-Meyer评估、运动状态量表与动作研究臂试验之间的反应性及相关性。

The responsiveness and correlation between Fugl-Meyer Assessment, Motor Status Scale, and the Action Research Arm Test in chronic stroke with upper-extremity rehabilitation robotic training.

作者信息

Wei Xi-Jun, Tong Kai-Yu, Hu Xiao-Ling

机构信息

Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.

出版信息

Int J Rehabil Res. 2011 Dec;34(4):349-56. doi: 10.1097/MRR.0b013e32834d330a.

Abstract

Responsiveness of clinical assessments is an important element in the report of clinical effectiveness after rehabilitation. The correlation could reflect the validity of assessments as an indication of clinical performance before and after interventions. This study investigated the correlation and responsiveness of Fugl-Meyer Assessment (FMA), Motor Status Scale (MSS), Action Research Arm Test (ARAT) and the Modified Ashworth Scale (MAS), which are used frequently in effectiveness studies of robotic upper-extremity training in stroke rehabilitation. Twenty-seven chronic stroke patients were recruited for a 20-session upper-extremity rehabilitation robotic training program. This was a rater-blinded randomized controlled trial. All participants were evaluated with FMA, MSS, ARAT, MAS, and Functional Independent Measure before and after robotic training. Spearman's rank correlation coefficient was applied for the analysis of correlation. The standardized response mean (SRM) and Guyatt's responsiveness index (GRI) were used to analyze responsiveness. Spearman's correlation coefficient showed a significantly high correlation (ρ=0.91-0.96) among FMA, MSS, and ARAT and a fair-to-moderate correlation (ρ=0.40-0.62) between MAS and the other assessments. FMA, MSS, and MAS on the wrist showed higher responsiveness (SRM=0.85-0.98, GRI=1.59-3.62), whereas ARAT showed relatively less responsiveness (SRM=0.22, GRI=0.81). The results showed that FMA or MSS would be the best choice for evaluating the functional improvement in stroke studies on robotic upper-extremity training with high responsiveness and good correlation with ARAT. MAS could be used separately to evaluate the spasticity changes after intervention in terms of high responsiveness.

摘要

临床评估的反应性是康复后临床疗效报告中的一个重要因素。这种相关性可以反映评估作为干预前后临床表现指标的有效性。本研究调查了Fugl-Meyer评估(FMA)、运动状态量表(MSS)、行动研究臂试验(ARAT)和改良Ashworth量表(MAS)的相关性和反应性,这些量表在中风康复机器人上肢训练的疗效研究中经常使用。招募了27名慢性中风患者参加一个为期20节的上肢康复机器人训练项目。这是一项评估者盲法随机对照试验。所有参与者在机器人训练前后均接受FMA、MSS、ARAT、MAS和功能独立性测量评估。采用Spearman等级相关系数分析相关性。采用标准化反应均值(SRM)和盖亚特反应性指数(GRI)分析反应性。Spearman相关系数显示FMA、MSS和ARAT之间存在显著高度相关性(ρ=0.91-0.96),MAS与其他评估之间存在中等相关性(ρ=0.40-0.62)。手腕部的FMA、MSS和MAS显示出较高的反应性(SRM=0.85-0.98,GRI=1.59-3.62),而ARAT显示出相对较低的反应性(SRM=0.22,GRI=0.81)。结果表明,在评估中风机器人上肢训练的功能改善方面,FMA或MSS是最佳选择,其反应性高且与ARAT相关性良好。MAS可单独用于评估干预后痉挛的变化,因其反应性高。

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