Literature DB >> 21444654

Who may benefit from robotic-assisted gait training? A randomized clinical trial in patients with subacute stroke.

Giovanni Morone1, Maura Bragoni, Marco Iosa, Domenico De Angelis, Vincenzo Venturiero, Paola Coiro, Luca Pratesi, Stefano Paolucci.   

Abstract

BACKGROUND: Robotic-assisted walking training after stroke aims to enable highly impaired patients to walk independently, but results have been mixed.
OBJECTIVE: The authors aimed to identify the characteristics of patients who may be most likely to benefit.
METHODS: A total of 48 participants with motor and gait dysfunction following subacute stroke were stratified by the motricity index into high (<29) and low (≥ 29) motor impairment groups. Each arm was randomized to a robotic or control group (RG or CG) at a mean of 20 days after stroke. All patients underwent 2 therapy sessions per day, 5 days per week for 3 months. Those in the RG underwent 20 sessions of robotic-assisted gait training in the first 4 weeks of inpatient therapy using controlled endpoint trajectories and abbreviated conventional therapy, whereas the CG received only conventional gait training. The primary outcome was the functional ambulation category (FAC), and secondary measures were the Rivermead mobility index (RMI) and 6-minute walking distance, all evaluated at hospital admission and at discharge.
RESULTS: The lower motricity group assigned to an electromechanical device significantly improved in the FAC (P < .001), RMI (P = .001), and walking distance (P = .029). Conventional and robotic therapies were equivalent in the higher motricity arm.
CONCLUSION: Robotic therapy combined with conventional therapy may be more effective than conventional therapy alone in patients with greater motor impairment during inpatient stroke rehabilitation.

Entities:  

Mesh:

Year:  2011        PMID: 21444654     DOI: 10.1177/1545968311401034

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  45 in total

1.  Physical fitness interventions for nonambulatory stroke survivors: A mixed-methods systematic review and meta-analysis.

Authors:  Megan Lloyd; Dawn A Skelton; Gillian E Mead; Brian Williams; Frederike van Wijck
Journal:  Brain Behav       Date:  2018-06-19       Impact factor: 2.708

Review 2.  Robot-assisted Therapy in Stroke Rehabilitation.

Authors:  Won Hyuk Chang; Yun-Hee Kim
Journal:  J Stroke       Date:  2013-09-27       Impact factor: 6.967

Review 3.  Electromechanical-assisted training for walking after stroke.

Authors:  Jan Mehrholz; Bernhard Elsner; Cordula Werner; Joachim Kugler; Marcus Pohl
Journal:  Cochrane Database Syst Rev       Date:  2013-07-25

Review 4.  Progress in sensorimotor rehabilitative physical therapy programs for stroke patients.

Authors:  Jia-Ching Chen; Fu-Zen Shaw
Journal:  World J Clin Cases       Date:  2014-08-16       Impact factor: 1.337

5.  Should body weight-supported treadmill training and robotic-assistive steppers for locomotor training trot back to the starting gate?

Authors:  Bruce H Dobkin; Pamela W Duncan
Journal:  Neurorehabil Neural Repair       Date:  2012-03-12       Impact factor: 3.919

6.  Prediction of responders for outcome measures of locomotor Experience Applied Post Stroke trial.

Authors:  Bruce H K Dobkin; Stephen E Nadeau; Andrea L Behrman; Samuel S Wu; Dorian K Rose; Mark Bowden; Stephanie Studenski; Xiaomin Lu; Pamela W Duncan
Journal:  J Rehabil Res Dev       Date:  2014

Review 7.  Technological advances in interventions to enhance poststroke gait.

Authors:  Lynne R Sheffler; John Chae
Journal:  Phys Med Rehabil Clin N Am       Date:  2013-05       Impact factor: 1.784

Review 8.  Wearable motion sensors to continuously measure real-world physical activities.

Authors:  Bruce H Dobkin
Journal:  Curr Opin Neurol       Date:  2013-12       Impact factor: 5.710

Review 9.  Electromechanical-assisted training for walking after stroke.

Authors:  Jan Mehrholz; Simone Thomas; Cordula Werner; Joachim Kugler; Marcus Pohl; Bernhard Elsner
Journal:  Cochrane Database Syst Rev       Date:  2017-05-10

10.  Seven capital devices for the future of stroke rehabilitation.

Authors:  M Iosa; G Morone; A Fusco; M Bragoni; P Coiro; M Multari; V Venturiero; D De Angelis; L Pratesi; S Paolucci
Journal:  Stroke Res Treat       Date:  2012-12-13
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