Section of Neuromotor Rehabilitation, Department of Neurosciences, ASST Carlo Poma, Mantua, Italy.
IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
Eur J Phys Rehabil Med. 2022 Feb;58(1):1-8. doi: 10.23736/S1973-9087.21.06846-5. Epub 2021 Jul 12.
Stroke is the most common cause of disability in Western Countries. It can lead to loss of mobility, capability to walk and ultimately loss of independence in activities of daily living (ADL). Several rehabilitative approaches have been proposed in these years. Robot-assisted gait rehabilitation (RAGT) plays a crucial role to perform a repetitive, intensive, and task-oriented treatment in stroke survivors. However, there are still few data on its role in subacute stroke patients.
The aim of the present study was to assess the efficacy of RAGT for gait recovery in subacute stroke survivors.
Systematic review with meta-analysis.
The setting of the study included Units of Rehabilitation.
The analyzed population was represented by subacute stroke patients.
PubMed, Scopus, Web of Science, CENTRAL, and PEDro were systematically searched until January 18, 2021, to identify randomized controlled trials (RCTs) presenting: stroke survivors in subacute phase (≤6 months) as participants; exoskeleton robots devices as intervention; conventional rehabilitation as a comparator; gait assessment, through qualitative scales, quantitative gait scales or quantitative parameters, as outcome measures. We also performed a meta-analysis of the mean difference in the functional ambulation category (FAC) via the random effect method.
Out of 3188 records, 14 RCTs were analyzed in this systematic review. The 14 studies have been published in the last 14 years (from 2006 to 2021) and included 576 stroke survivors, of which 306 received RAGT, and 270 underwent conventional rehabilitation. Lokomat robotic system was the most investigated robotic exoskeleton by the RCTs included (N.=9), albeit the meta-analysis demonstrated a non-significant difference of -0.09 in FAC (95% CI: -0.22.0.03) between Lokomat and conventional therapy. According to the PEDro scale, 11 (78.5%) were classified as good-quality studies, two as fair-quality studies (14.3%), and one as poor-quality study (7.1%).
Taken together, these findings showed that RAGT might have a potential role in gait recovery in subacute stroke survivors. However, further RCTs comparing the efficacy of RAGT with conventional physical therapy are still warranted in the neurorehabilitation field.
This systematic review provides information on the efficacy of RAGT in allowing subacute stroke patients to perform high-intensity gait training with a lower physical burden on PRM professionals.
中风是西方国家最常见的致残原因。它可导致活动能力丧失、行走能力丧失,最终导致日常生活活动(ADL)丧失独立性。近年来提出了几种康复方法。机器人辅助步态康复(RAGT)在中风幸存者中进行重复、强化和面向任务的治疗方面发挥着至关重要的作用。然而,关于其在亚急性中风患者中的作用的数据仍然很少。
本研究旨在评估 RAGT 对亚急性中风幸存者步态恢复的疗效。
系统评价与荟萃分析。
研究地点包括康复单位。
分析人群由亚急性中风患者组成。
系统检索了 PubMed、Scopus、Web of Science、CENTRAL 和 PEDro,直到 2021 年 1 月 18 日,以确定呈现以下内容的随机对照试验(RCT):亚急性阶段(≤6 个月)的中风幸存者作为参与者;外骨骼机器人设备作为干预措施;常规康复作为对照;步态评估,通过定性量表、定量步态量表或定量参数作为结果测量指标。我们还通过随机效应法对功能步行类别(FAC)的均数差值进行了荟萃分析。
在 3188 条记录中,分析了 14 项 RCT。这 14 项研究是在过去 14 年(2006 年至 2021 年)发表的,共纳入 576 名中风幸存者,其中 306 名接受了 RAGT,270 名接受了常规康复。Lokomat 机器人系统是纳入的 RCT 中研究最多的机器人外骨骼(N=9),尽管荟萃分析显示 Lokomat 与常规治疗之间 FAC 的差异无统计学意义(-0.09,95%CI:-0.22.0.03)。根据 PEDro 量表,11 项(78.5%)被评为高质量研究,2 项为中等质量研究(14.3%),1 项为低质量研究(7.1%)。
综上所述,这些发现表明,RAGT 可能在亚急性中风幸存者的步态恢复中具有潜在作用。然而,神经康复领域仍需要进一步的 RCT 来比较 RAGT 与常规物理疗法的疗效。
本系统评价提供了关于 RAGT 使亚急性中风患者能够进行高强度步态训练的信息,同时降低了对 PRM 专业人员的身体负担。