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1.
J Stroke Cerebrovasc Dis ; 28(2): 477-486, 2019 Feb.
Article in English | MEDLINE | ID: mdl-30420315

ABSTRACT

BACKGROUND: Poststroke gait disorders negatively impact activities of daily living. Rehabilitation for stroke patients is aimed at improving their walking ability, balance, and quality of life. Robot-assisted gait training (RAGT) is associated with an increased number of task-specific exercises, which may benefit poststroke motor learning. We investigated the effects of RAGT using Stride Management Assist (SMA, which increases walk ratio by inducing hip-joint flexion and extension) in subacute stroke patients with hemiplegia. METHODS: We conducted a single center, open-label randomized controlled trial in hemiplegia patients who experienced a first ever stroke and were admitted to the convalescent rehabilitation ward. A total of 41 were divided into the control (20 patients) and experimental group (21 patients). A 10-day, conventional gait training program was carried out for the control group; and RAGT with SMA was used for the experimental group. The maximum walking speed and other gait parameters were compared preintervention and postintervention. The intergroup differences in the improvement ratio were compared using an intention-to-treat analysis. RESULTS: Ten-day intervention was completed by 36 patients. There was no difference between the 2 groups regarding gait parameters at intervention initiation. The improvement ratio of the maximum walking speed was significantly higher for the experimental group. Significant improvements were observed postintervention for maximum walking speed, paralysis-side step length, symmetry, and cadence in the experimental group. No adverse events attributable to the SMA were observed. CONCLUSIONS: Ten days of RAGT with the SMA was effective for improving gait disorders of subacute stroke patients.


Subject(s)
Exercise Therapy/methods , Gait , Hemiplegia/therapy , Robotics , Stroke Rehabilitation/methods , Stroke/therapy , Aged , Equipment Design , Exercise Therapy/instrumentation , Female , Hemiplegia/diagnosis , Hemiplegia/etiology , Hemiplegia/physiopathology , Humans , Japan , Male , Middle Aged , Recovery of Function , Robotics/instrumentation , Stroke/complications , Stroke/diagnosis , Stroke/physiopathology , Stroke Rehabilitation/instrumentation , Time Factors , Treatment Outcome
2.
J Stroke Cerebrovasc Dis ; 26(8): 1663-1669, 2017 Aug.
Article in English | MEDLINE | ID: mdl-28579021

ABSTRACT

OBJECTIVE: This study aims to test the hypothesis that the Revised Version of the Ability for Basic Movement Scale (ABMSII) can predict ambulation during rehabilitation in poststroke patients. SUBJECTS AND METHODS: The study included first-ever stroke patients who were admitted to the rehabilitation ward and were dependent in walking. ABMSII scores were assessed by physical therapists on admission to the hospital. Functional ambulation category (FAC) was assessed every 2 weeks during hospitalization. The primary outcome was independent ambulation, defined as 4 points or higher on the FAC. RESULTS: After setting the inclusion criteria, data of 374 stroke patients (mean age: 70 years, 153 women) were eligible for the analysis. Of these, 193 patients achieved independent ambulation during hospitalization. The ABMSII score was significantly higher in the patients who regained independent walking ability than in those who required assistance in walking. Based on receiver operating characteristic curve analysis, an ABMSII score of 16 points or higher had a sensitivity of 93% and a specificity of 71%. Kaplan-Meier curve analysis after log-rank test demonstrated a significantly higher event rate in patients with an ABMSII score of 16 or higher compared to those with an ABMSII score lower than 16. Univariate and multivariate Cox regression analyses identified the ABMSII score as a significant and independent predictor of ambulation during rehabilitation. CONCLUSION: Our results suggest that the ABMSII score is a potentially useful tool to predict ambulation during rehabilitation in poststroke patients.


Subject(s)
Dependent Ambulation , Disability Evaluation , Mobility Limitation , Stroke Rehabilitation/methods , Stroke/therapy , Walking , Adult , Aged , Aged, 80 and over , Area Under Curve , Chi-Square Distribution , Female , Gait , Humans , Kaplan-Meier Estimate , Male , Middle Aged , Multivariate Analysis , Postural Balance , Predictive Value of Tests , Proportional Hazards Models , ROC Curve , Recovery of Function , Risk Factors , Stroke/diagnosis , Stroke/physiopathology , Time Factors , Treatment Outcome
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