Objective

This study aimed to evaluate predictors of good recovery after rehabilitation in stroke patients with very severe disability.

Methods

168 Eligible patients were enrolled. Fugl-Meyer of motor score (FMM), National Institute of Health Stroke Scale (NIHSS), and Modified Barthel Index (MBI) were used to measure the motor and degree of disability. Logistic regressions were used to investigate the effect of 21 pre-existing conditions on efficacy outcomes after 4 weeks rehabilitation.

Results

The results indicated the following: 1) FMM (r = 0.2, P=0.02) and NIHSS (r = -0.2, P=0.00) were significantly correlated (positively and negatively, respectively) with fat-free mass index (FFMI); 2)FFMI (odds ratio [OR],1.9; 95% CI, 1.1 to 3.3; P=0.02), OAI (OR, 0.9; 95% CI, 0.9 to 1.0; P=0.00), and FMM (OR, 1.0; 95% CI, 1.0 to 1.1; P=0.00) were revealed as predictors of good recovery after 4 weeks rehabilitation; 3) The model could predict the possibility of good recovery in stroke patients with very severe disability with excellent sensitivity and specificity(80.0% and 67.1%, respectively).

Conclusions

The results could enable clinicians to predict good recovery after rehabilitation in patients with very severe post-stroke disability.

中文翻译：

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是什么决定了非常严重的残疾中风患者的康复能力？回顾性队列研究。

目的

这项研究旨在评估患有严重残疾的中风患者康复后恢复良好的预测指标。

方法

入选了168位合格患者。运动评分（FMM），美国国立卫生研究院卒中量表（NIHSS）和改良Barthel指数（MBI）的Fugl-Meyer用于测量运动和残疾程度。Logistic回归用于研究21种既有疾病对4周康复后疗效的影响。

结果

结果表明：1）FMM（r = 0.2，P = 0.02）和NIHSS（r = -0.2，P = 0.00）与无脂肪质量指数（FFMI）呈显着正相关（负相关）；2）FFMI（赔率[OR]，1.9； 95％CI，1.1到3.3； P = 0.02），OAI（OR，0.9； 95％CI，0.9到1.0； P = 0.00）和FMM（OR，1.0） ； 95％CI，1.0到1.1； P = 0.00）被揭示为康复4周后恢复良好的预测指标；3）该模型可以预测具有高度敏感性和特异性（分别为80.0％和67.1％）的非常严重残疾的中风患者良好康复的可能性。

结论

结果可以使临床医生预测患有严重中风后残疾的患者康复后的恢复情况。