Department of Rehabilitation, Faculty of Health Science, Tohoku Fukushi University, Sendai, Japan.
Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
J Stroke Cerebrovasc Dis. 2015 Apr;24(4):815-22. doi: 10.1016/j.jstrokecerebrovasdis.2014.11.018. Epub 2015 Feb 14.
Prediction of upper limb function recovery in the acute phase of cerebrovascular disease can help clarify goal setting in rehabilitation and subsequently shorten hospital stay. The present study aimed to develop regression equations that can be used to predict the Manual Function Test (MFT) score 3 weeks after onset and to determine the optimal cutoff MFT score for the identification of "Functional Hand."
In all, 190 patients with cerebrovascular disease were included in this study. The baseline survey performed within 1 week after onset assessed sociodemographic profiles, medical profiles, and acute symptoms. MFT was performed to determine the cutoff score to indicate Functional Hand. We used stepwise multiple regression analysis to establish the prediction equations with the best fit for the MFT score 3 weeks after onset. In addition, the sensitivity and specificity of the MFT as an indicator of Functional Hand with cutoff values were determined.
The multiple regression analysis showed that the following factors had a significant influence on the MFT: Brunnstrom recovery stage, cognitive function, range of motion, age, and sensation. The area under the curve was .93 for the MFT score as an indicator of Functional Hand. The cutoff MFT score to identify Functional Hand was 22/21 points, with a sensitivity and specificity of 91.1% and 82.1%, respectively.
Our findings helped develop regression equations that can be used to predict the MFT score 3 weeks after onset of cerebrovascular disease by evaluating factors reportedly associated with upper limb function recovery.
预测脑血管病急性期上肢功能的恢复有助于明确康复目标,从而缩短住院时间。本研究旨在建立能够预测发病后 3 周时手动功能测试(MFT)评分的回归方程,并确定识别“功能手”的最佳 MFT 截断值。
共纳入 190 例脑血管病患者。发病后 1 周内进行基线调查,评估社会人口学特征、医疗状况和急性症状。进行 MFT 以确定表明“功能手”的截断值。我们使用逐步多元回归分析建立最佳拟合的发病后 3 周时 MFT 评分的预测方程。此外,还确定了 MFT 作为功能手的指标的截断值的敏感性和特异性。
多元回归分析显示,MFT 受以下因素的显著影响:Brunnstrom 恢复阶段、认知功能、运动范围、年龄和感觉。MFT 作为功能手的指标的曲线下面积为 0.93。识别功能手的 MFT 截断值为 22/21 分,其敏感性和特异性分别为 91.1%和 82.1%。
本研究结果有助于建立回归方程,通过评估与上肢功能恢复相关的因素来预测脑血管病发病后 3 周时的 MFT 评分。