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首页> 外文期刊>Journal of stroke and cerebrovascular diseases: The official journal of National Stroke Association >Prediction of Gait without Physical Assistance after Inpatient Rehabilitation in Severe Subacute Stroke Subjects
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Prediction of Gait without Physical Assistance after Inpatient Rehabilitation in Severe Subacute Stroke Subjects

机译：在严重的亚急性中风受试者中，在住院治疗后，在没有身体援助的情况下预测

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Background: Gait recovery is one of the main therapeutic goals of the rehabilitation for patients after a stroke. Objective: This study is aimed at describing the frequency of achievement of gait without physical assistance in poststroke subacute patients by the time of discharge from a rehabilitation hospitalized program. Secondarily, our goal is to identify gait without physical assistance predictors in this same population based on the admission's clinical and demographic conditions. Methods: Data from 185 first unilateral hemispheric stroke patients that need physical assistance to walk at admission were analyzed. The sample was dichotomized into gait with physical assistance and gait without physical assistance to calculate the frequency of achievement of gait without assistance at discharge. Multivariate logistic modeling was applied to identify prognostic factors for regaining gait without physical assistance. Results: Gait without assistance was achieved in 50.27% of the subjects. Five variables were identified for the prediction model: age (Odds ratio [OR] = .87, 95% confidence interval [CI] = .83-.92), gender (OR = .37, 95% CI = .14-.94), time between stroke and hospitalization (OR = .96, 95% CI = .94-.99), initial Berg Balance (OR = 1.52, 95% CI = 1.23-1.88), and initial lower limb Fugl Meyer (OR = 1.17, 95% CI = 1.07-1.27). Conclusions: Although discharge planning is complex, achievement of gait without physical assistance is undoubtedly a landmark to decide on hospitalization discharge. Half of this sample was able to walk without physical assistance at hospitalization discharge. Five clinical and demographic conditions at admission were found predictors of gait without physical assistance at inpatient discharge.
机译：背景：步态复苏是中风后康复的主要治疗目标之一。目的：本研究旨在描述在康复住院计划中出院时，在失败的亚急性患者中没有身体援助，在没有身体援助的情况下描述步态的频率。其次，我们的目标是根据入学的临床和人口统计条件，在同一人群中没有物理援助预测者的情况。方法：分析了来自185名不需要在入学入学的单侧半球中风患者的数据。在没有身体援助和步态的情况下，将样品与物理援助和步态分成步态，以计算步态的成就频率而不在放电。应用多变量物流建模，以确定恢复步态的预后因素，没有身体援助。结果：在50.27％的受试者中取得了援助步态。鉴定了预测模型的五个变量：年龄（差距[或] = .87,95％置信区间[CI] = .83-.92），性别（或= .37,95％CI = .14-。 94），中风和住院时间（或= .96,95％CI = .94-.99），初始BERG平衡（或= 1.52,95％CI = 1.23-1.88），以及初始下肢FUGL MEYER（或= 1.17,95％CI = 1.07-1.27）。结论：虽然排放规划很复杂，但在没有身体援助的情况下实现步态无疑是决定住院放电的标志标志。该样品的一半能够在住院放电时没有身体援助。在入围性放电的情况下，发现步态的预测因子的五个临床和人口统计条件。

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