基于生物反馈的家庭平衡训练可以改善多发性硬化症患者的平衡,但不能改善步态。

IF 2.2 Q3 CLINICAL NEUROLOGY
Multiple Sclerosis International Pub Date : 2019-12-23 eCollection Date: 2019-01-01 DOI:10.1155/2019/2854130
Klara Novotna, Marketa Janatova, Karel Hana, Olga Svestkova, Jana Preiningerova Lizrova, Eva Kubala Havrdova
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引用次数: 9

摘要

背景:平衡障碍在多发性硬化症(MS)患者中很常见,即使在轻度残疾水平的患者中也可能存在。随着残疾的增加,步态和平衡障碍的进展,并导致跌倒的风险增加。在最近的一些研究中,交互式商业视频游戏被用于提高平衡性,但它们的局限性在于缺乏康复目的所需的个人训练参数设置。本研究的目的是评估使用康复Homebalance®系统在家庭环境中进行平衡训练的可行性和效果。方法:采用单中心、对照、单盲研究,分为干预组和对照组。在为期四周的家庭平衡训练后,参与者在基线进行评估,并在四周后进行随访。主要结果为Berg平衡测试(BBT)。次要结果测量包括Mini-BESTest, Timed Up和Go测试(Mini-BESTest的一部分),以及使用GAITRite仪器进行时空步态参数评估。患者报告的结果(PRO)包括12项MS步行量表、特定活动平衡信心量表和跌倒疗效量表。结果:共有39名多发性硬化症患者(10名男性)被纳入研究。参与者平均年龄40.69±10.2岁,平均病程14.76±9.1年,平均残疾水平3.8±1.9 EDSS (EDSS范围1.5-7)。在家庭锻炼组中,BBT组和mini - best组都有统计学上的显著改善。这种改善在中度和重度残疾亚组中更为显著(EDSS 4.5-7)。所有其他步态参数和PRO没有任何改善。四周后的随访评估表明,在完成常规训练方案后,达到的改善持续了很短的时间。结论:与不干预相比,使用Homebalance®的短期家庭平衡训练方案改善了一组MS患者的平衡,但没有改善步态表现。似乎物理治疗师根据个人需求量身定制的家庭平衡训练可能是未来考虑MS患者远程康复的一种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Biofeedback Based Home Balance Training can Improve Balance but Not Gait in People with Multiple Sclerosis.

Biofeedback Based Home Balance Training can Improve Balance but Not Gait in People with Multiple Sclerosis.

Biofeedback Based Home Balance Training can Improve Balance but Not Gait in People with Multiple Sclerosis.

Biofeedback Based Home Balance Training can Improve Balance but Not Gait in People with Multiple Sclerosis.

Background: Impaired balance is common in people with multiple sclerosis (MS) and can be present even in those with a mild disability level. With increasing disability, gait, and balance impairment progress, and lead to increased risk of falls. In some recent studies, interactive commercial video games were used for improving balance, but their limitation is their lack of individual training parameter settings needed for rehabilitation purposes. The aim of this study was to evaluate the feasibility and effect of balance exercise in the home setting using the rehabilitation Homebalance® system.

Methods: A single-centre, controlled, single blind study with allocation to intervention group or to control group was utilised. Participants were assessed at baseline, after four weeks of home-based balance training, and follow-up after four weeks. The primary outcomes were the Berg Balance Test (BBT). The secondary outcome measures included the Mini-BESTest, Timed Up, and Go Test (part of Mini-BESTest), and spatio-temporal gait parameter evaluation using the GAITRite instrument. The patient reported outcomes (PRO) included the 12-Item MS Walking Scale, Activities-specific Balance Confidence Scale, and the Falls Efficacy Scale.

Results: A total of 39 people with Multiple Sclerosis (10 men) were enrolled into the study. The mean age of participants was 40.69 ± 10.2 years, with a mean disease duration 14.76 ± 9.1 years and mean disability level 3.8 ± 1.9 EDSS (EDSS range 1.5-7). Statistically significant improvements within the home exercise group were present for the BBT and the Mini-BESTest. This improvement was more significant in the subgroup with moderate and higher disability (EDSS 4.5-7). All other gait parameters and PRO did not show any improvement. Follow-up assessment after four weeks showed that the reached improvement persisted for a short time period after finishing the regular training regimen.

Conclusion: In comparison with no intervention, a short-term programme of home-based balance training using Homebalance® improved balance but not gait performance in a group of people with MS. It seems that home-based balance training tailored according to individual needs by a physiotherapist may be a future approach to consider for telerehabilitation of people with MS.

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来源期刊
Multiple Sclerosis International
Multiple Sclerosis International CLINICAL NEUROLOGY-
自引率
0.00%
发文量
6
审稿时长
15 weeks
期刊介绍: Multiple Sclerosis International is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies related to all aspects of multiple sclerosis, including clinical neurology, neuroimaging, neuropathology, therapeutics, genetics, neuroimmunology, biomarkers, psychology and neurorehabilitation.
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