Robot-assisted gait training in multiple sclerosis patients: a randomized trial

Author:

Schwartz Isabella1,Sajin Anna1,Moreh Elior1,Fisher Iris1,Neeb Martin2,Forest Adina2,Vaknin-Dembinsky Adi3,Karusis Dimitrios3,Meiner Zeev3

Affiliation:

1. Departments of Physical Medicine and Rehabilitation, Haddasah-Hebrew University Hospital, Jerusalem, Israel

2. Department of Physiotherapy, Haddasah-Hebrew University Hospital, Jerusalem, Israel

3. Department of Neurology, Haddasah-Hebrew University Hospital, Jerusalem, Israel

Abstract

Background: Preservation of locomotor activity in multiple sclerosis (MS) patients is of utmost importance. Robotic-assisted body weight-supported treadmill training is a promising method to improve gait functions in neurologically impaired patients, although its effectiveness in MS patients is still unknown. Objective: To compare the effectiveness of robot-assisted gait training (RAGT) with that of conventional walking treatment (CWT) on gait and generalized functions in a group of stable MS patients. Methods: A prospective randomized controlled trial of 12 sessions of RAGT or CWT in MS patients of EDSS score 5–7. Primary outcome measures were gait parameters and the secondary outcomes were functional and quality of life parameters. All tests were performed at baseline, 3 and 6 months post-treatment by a blinded rater. Results: Fifteen and 17 patients were randomly allocated to RAGT and CWT, respectively. Both groups were comparable at baseline in all parameters. As compared with baseline, although some gait parameters improved significantly following the treatment at each time point there was no difference between the groups. Both FIM and EDSS scores improved significantly post-treatment with no difference between the groups. At 6 months, most gait and functional parameters had returned to baseline. Conclusions: Robot-assisted gait training is feasible and safe and may be an effective additional therapeutic option in MS patients with severe walking disabilities.

Publisher

SAGE Publications

Subject

Clinical Neurology,Neurology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3