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The use of exoskeleton robotic training on lower extremity function in spinal cord injuries: A systematic review.外骨骼机器人训练对脊髓损伤患者下肢功能的影响:一项系统综述。
J Orthop. 2024 Oct 30;65:1-7. doi: 10.1016/j.jor.2024.10.036. eCollection 2025 Jul.
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Effectiveness of robotic rehabilitation for gait and balance in people with multiple sclerosis: a systematic review.机器人康复对多发性硬化症患者步态和平衡的有效性:系统评价。
J Neurol. 2024 Nov;271(11):7141-7155. doi: 10.1007/s00415-024-12715-4. Epub 2024 Oct 10.
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Robot-Assisted Gait Training in Individuals With Spinal Cord Injury: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.脊髓损伤患者的机器人辅助步态训练:随机对照试验的系统评价和荟萃分析
Ann Rehabil Med. 2024 Jun;48(3):171-191. doi: 10.5535/arm.230039. Epub 2024 Jun 28.
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Robotic gait training and botulinum toxin injection improve gait in the chronic post-stroke phase: A randomized controlled trial.机器人步态训练和肉毒毒素注射改善慢性脑卒中后阶段的步态:一项随机对照试验。
Ann Phys Rehabil Med. 2024 Feb;67(1):101785. doi: 10.1016/j.rehab.2023.101785. Epub 2023 Dec 19.
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Effects of soft robotic exoskeleton for gait training on clinical and biomechanical gait outcomes in patients with sub-acute stroke: a randomized controlled pilot study.软机器人外骨骼用于亚急性中风患者步态训练对临床和生物力学步态结果的影响:一项随机对照试验研究
Front Neurol. 2023 Nov 2;14:1296102. doi: 10.3389/fneur.2023.1296102. eCollection 2023.
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End-effector lower limb robot-assisted gait training effects in subacute stroke patients: A randomized controlled pilot trial.下肢末端效应器机器人辅助步态训练对亚急性期脑卒中患者的影响:一项随机对照初步试验。
Medicine (Baltimore). 2023 Oct 20;102(42):e35568. doi: 10.1097/MD.0000000000035568.
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Feasibility and outcomes of supplemental gait training by robotic and conventional means in acute stroke rehabilitation.辅助机器人和常规方法进行急性脑卒中康复中的步态训练的可行性和结果。
J Neuroeng Rehabil. 2023 Oct 4;20(1):134. doi: 10.1186/s12984-023-01243-3.
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The effect of robot-assisted gait training for patients with spinal cord injury: a systematic review and meta-analysis.机器人辅助步态训练对脊髓损伤患者的影响:一项系统评价和荟萃分析。
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9
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The effects of Robot-assisted gait training and virtual reality on balance and gait in stroke survivors: A randomized controlled trial.机器人辅助步态训练和虚拟现实对脑卒中患者平衡和步态的影响:一项随机对照试验。
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中风后行走的机电辅助训练

Electromechanical-assisted training for walking after stroke.

作者信息

Mehrholz Jan, Kugler Joachim, Pohl Marcus, Elsner Bernhard

机构信息

Department of Public Health, Dresden Medical School, Technical University Dresden, Dresden, Germany.

Clinic for Neurological-Neurosurgical Rehabilitation, Vamed Klinik Schloss Pulsnitz, Pulsnitz, Germany.

出版信息

Cochrane Database Syst Rev. 2025 May 14;5(5):CD006185. doi: 10.1002/14651858.CD006185.pub6.

DOI:10.1002/14651858.CD006185.pub6
PMID:40365867
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12076539/
Abstract

RATIONALE

Walking difficulties are common after a stroke. During rehabilitation, electromechanical and robotic gait-training devices can help improve walking. As the evidence and certainty of the evidence may have changed since our last update in 2020, we aimed to update the scientific evidence on the benefits and acceptability of these technologies to ensure they remain a viable option for stroke rehabilitation.

OBJECTIVES

Primary • To determine whether electromechanical- and robot-assisted gait training versus physiotherapy (or usual care) improves walking in adults after stroke. Secondary • To determine whether electromechanical- and robot-assisted gait training versus physiotherapy (or usual care) after stroke improves walking velocity, walking capacity, acceptability, and death from all causes until the end of the intervention phase.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, and seven other databases. We handsearched relevant conference proceedings, searched trials and research registers, checked reference lists, and contacted trial authors to identify further published, unpublished, and ongoing trials. The date of the latest search was December 2023.

ELIGIBILITY CRITERIA

We included all randomised controlled trials and randomised controlled cross-over trials in people over the age of 18 years diagnosed with stroke of any severity, at any stage, in any setting, evaluating electromechanical- and robot-assisted gait training versus physiotherapy (or usual care).

OUTCOMES

Our critical outcome was the ability to walk independently, measured with the Functional Ambulation Category (FAC). An FAC score of 4 or 5 indicated independent walking over a 15-metre surface, irrespective of aids used, such as a cane. An FAC score less than 4 indicates dependency in walking (supervision or assistance, or both, must be given in performing walking). Important outcomes included walking velocity and capacity, as well as dropouts.

RISK OF BIAS

We used Cochrane's RoB 1 tool.

SYNTHESIS METHODS

Two review authors independently selected trials for inclusion, assessed methodological quality and risk of bias, and extracted data. We used random-effects models for the meta-analysis. We assessed the certainty of evidence using the GRADE approach.

INCLUDED STUDIES

We included 101 studies (39 new studies plus 62 studies from previous versions) with a total of 4224 participants after stroke in our review update.

SYNTHESIS OF RESULTS

Electromechanical-assisted gait training in combination with physiotherapy probably increases the odds of participants becoming independent in walking (odds ratio (OR) 1.65, 95% confidence interval (CI) 1.21 to 2.25; P = 0.001; I² = 31%; 51 studies, 2148 participants; moderate-certainty evidence); probably does not increase mean walking velocity (mean difference (MD) 0.05 m/s, 95% CI 0.02 to 0.08; P < 0.001; I² = 58%; 73 studies, 3043 participants; moderate-certainty evidence); and does not increase mean walking capacity (MD 11 metres walked in 6 minutes, 95% CI 1.8 to 20.3; P = 0.02; I² = 43%; 42 studies, 1966 participants; high-certainty evidence). Electromechanical-assisted gait training does not increase or decrease the risk of loss to the study during the intervention or the risk of death from all causes (high-certainty evidence). At follow-up after study end, electromechanical-assisted gait training in combination with physiotherapy may not increase the odds of participants becoming independent in walking (OR 1.64, 95% CI 0.77 to 3.48; P = 0.20; I² = 69%; 8 studies, 569 participants; low-certainty evidence), and probably does not increase mean walking velocity (MD 0.05 m/s, 95% CI -0.03 to 0.13; P = 0.22; I² = 66%; 17 studies, 857 participants; moderate-certainty evidence) or mean walking capacity (MD 9.6 metres walked in 6 minutes, 95% CI -14.6 to 33.7; P = 0.44; I² = 53%; 15 studies, 736 participants; moderate-certainty evidence). Our results must be interpreted with caution because (1) some trials investigated people who were independent in walking at the start of the study; and (2) there was variation between trials with respect to the devices used and duration and frequency of treatment.

AUTHORS' CONCLUSIONS: Moderate-certainty evidence shows that people who receive electromechanical-assisted gait training in combination with physiotherapy after stroke are probably more likely to achieve independent walking than people who receive gait training without these devices.We concluded that nine patients need to be treated to prevent one dependency in walking. Further research should consist of large, definitive pragmatic phase 3 trials undertaken to address specific questions about the most effective frequency and duration of electromechanical-assisted gait training, as well as how long any benefit may last. Future trials should consider time poststroke in their trial design.

FUNDING

This Cochrane review had no dedicated funding.

REGISTRATION

Protocol (2006): doi:10.1002/14651858.CD006185 Original review (2007): doi:10.1002/14651858.CD006185.pub2 Review update (2013): doi:10.1002/14651858.CD006185.pub3 Review update (2017): doi:10.1002/14651858.CD006185.pub4 Review update (2020): doi:10.1002/14651858.CD006185.pub5.

摘要

原理

中风后行走困难很常见。在康复过程中,机电和机器人步态训练设备有助于改善行走能力。自我们2020年上次更新以来,证据及证据的确定性可能已发生变化,我们旨在更新有关这些技术的益处和可接受性的科学证据,以确保它们仍然是中风康复的可行选择。

目的

主要目的•确定机电辅助和机器人辅助步态训练与物理治疗(或常规护理)相比,是否能改善中风后成年人的行走能力。次要目的•确定中风后机电辅助和机器人辅助步态训练与物理治疗(或常规护理)相比,在干预阶段结束前是否能提高行走速度、行走能力、可接受性并降低全因死亡率。

检索方法

我们检索了Cochrane系统评价数据库、MEDLINE、Embase以及其他七个数据库。我们手工检索了相关会议论文集,检索了试验和研究注册库,检查了参考文献列表,并联系试验作者以识别更多已发表、未发表和正在进行的试验。最新检索日期为2023年12月。

纳入标准

我们纳入了所有针对18岁以上、在任何阶段、任何环境下被诊断为任何严重程度中风的人群的随机对照试验和随机对照交叉试验,评估机电辅助和机器人辅助步态训练与物理治疗(或常规护理)的效果。

结局指标

我们的关键结局指标是独立行走能力,采用功能性步行分类(FAC)进行测量。FAC评分为4或5表示在15米的路面上能够独立行走,无论是否使用辅助工具,如拐杖。FAC评分低于4表示行走依赖(在行走时必须给予监督或协助,或两者都需要)。重要结局指标包括行走速度和能力,以及失访情况。

偏倚风险

我们使用Cochrane的RoB 1工具。

合成方法

两位综述作者独立选择纳入试验,评估方法学质量和偏倚风险,并提取数据。我们使用随机效应模型进行荟萃分析。我们使用GRADE方法评估证据的确定性。

纳入研究

在本次综述更新中,我们纳入了101项研究(39项新研究加上62项来自 previous版本的研究),共有4224名中风后参与者。

结果合成

机电辅助步态训练联合物理治疗可能会增加参与者独立行走的几率(优势比(OR)1.65,95%置信区间(CI)1.21至2.25;P = 0.001;I² = 31%;51项研究,2148名参与者;中等确定性证据);可能不会增加平均行走速度(平均差(MD)0.05 m/s,95% CI 0.02至0.08;P < 0.001;I² = 58%;73项研究,3043名参与者;中等确定性证据);并且不会增加平均行走能力(6分钟内行走的平均距离MD为11米,95% CI 1.8至20.3;P = 0.02;I² = 43%;42项研究,1966名参与者;高确定性证据)。机电辅助步态训练不会增加或降低干预期间失访的风险或全因死亡风险(高确定性证据)。在研究结束后的随访中,机电辅助步态训练联合物理治疗可能不会增加参与者独立行走的几率(OR 1.64,95% CI 0.77至3.48;P = 0.20;I² = 69%;8项研究,569名参与者;低确定性证据),并且可能不会增加平均行走速度(MD 0.05 m/s,95% CI -0.03至0.13;P = 0.22;I² = 66%;17项研究,857名参与者;中等确定性证据)或平均行走能力(6分钟内行走的平均距离MD为9.6米,95% CI -14.6至33.7;P = 0.44;I² = 53%;各项研究,736名参与者;中等确定性证据)。我们的结果必须谨慎解释,因为(1)一些试验研究的是在研究开始时能够独立行走的人群;(2)不同试验在使用的设备、治疗持续时间和频率方面存在差异。

作者结论

中等确定性证据表明,中风后接受机电辅助步态训练联合物理治疗的人比接受无这些设备的步态训练的人更有可能实现独立行走。我们得出结论,需要治疗9名患者以预防1例行走依赖。进一步的研究应包括大型、确定性的实用3期试验,以解决有关机电辅助步态训练最有效频率和持续时间以及任何益处可能持续多久的具体问题。未来的试验应在试验设计中考虑中风后的时间。

资金来源

本Cochrane综述没有专门的资金。

注册信息

方案(2006):doi:10.1002/14651858.CD006185 原始综述(2007):doi:10.1002/1465!858.CD006185.pub2 综述更新(2013):doi:10.1002/14651858.CD006185.pub3 综述更新(2017):doi:10.1002/14651858.CD006185.pub4 综述更新(2020):doi:10.1002/14651858.CD006185.pub5 。