Kwakkel Gert, Kollen Boudewijn
Department of Rehabilitation Medicine, VU University Medical Centre Amsterdam, The Netherlands.
Restor Neurol Neurosci. 2007;25(5-6):453-60.
A number of longitudinal studies show that about one third of all patients regain dexterity following a stroke. However, the determinants of improvement of upper limb function are largely unknown. The aim of the present study was to investigate the longitudinal relationship of functional change in the upper paretic limb and change in time-dependent covariates in order to develop a multivariable regression model to predict improvement in dexterity.
Based on 18 repeated measurements over time during the first post-stroke year, 101 stroke patients with first-ever ischemic middle cerebral artery strokes were investigated. Baseline characteristics as well as longitudinal information from Action Research Arm Test (ARAT), Fugl-Meyer arm and hand score (FM-arm and FM-hand), Motricity Index arm and leg score (MI-arm and MI-leg), letter cancellation task (LCT), Fugl-Meyer balance score (FM-balance) and progress of time were obtained prospectively. Outcome constituted of change scores on the ARAT over first year post stroke. Adjoining measurements of time-dependent variables were used to calculate time-dependent changes producing change scores.
In total 1570 of the 1717 change scores were available for longitudinal regression analysis. The regression model shows that FM-hand change scores was the most important relative factor in predicting improvement on ARAT (standardized beta=0.357; p<0.001) followed by change scores on FM-arm (beta=0.007; p<0.001), whereas progress of time was significantly negatively associated with improvement on ARAT (beta=-0.001; p<0.001).
Functional improvement of the upper paretic limb is mainly determined by improvement of the paretic hand, followed by synergistic independent movement of the paretic arm. Progress of time itself is an independent covariate that is negatively associated with upper limb function suggesting that most pronounced improvements occur earlier after stroke.
多项纵向研究表明,约三分之一的中风患者恢复了灵活性。然而,上肢功能改善的决定因素在很大程度上尚不清楚。本研究的目的是调查患侧上肢功能变化与时间依赖性协变量变化之间的纵向关系,以便建立一个多变量回归模型来预测灵活性的改善情况。
基于中风后第一年期间的18次重复测量,对101例首次发生缺血性大脑中动脉中风的患者进行了研究。前瞻性地获取了基线特征以及来自动作研究臂测试(ARAT)、Fugl-Meyer上肢和手评分(FM-上肢和FM-手)、运动指数上肢和下肢评分(MI-上肢和MI-下肢)、字母划消任务(LCT)、Fugl-Meyer平衡评分(FM-平衡)的纵向信息以及时间进展情况。结果由中风后第一年ARAT的变化分数构成。使用时间依赖性变量的相邻测量值来计算产生变化分数的时间依赖性变化。
总共1717个变化分数中的1570个可用于纵向回归分析。回归模型显示,FM-手变化分数是预测ARAT改善的最重要相关因素(标准化β=0.357;p<0.001),其次是FM-上肢变化分数(β=0.007;p<0.001),而时间进展与ARAT改善显著负相关(β=-0.001;p<0.001)。
患侧上肢的功能改善主要由患侧手的改善决定,其次是患侧上肢的协同独立运动。时间进展本身是一个独立的协变量,与上肢功能呈负相关,这表明中风后最明显的改善发生在早期。