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机器人外骨骼训练对脑卒中患者下肢功能、活动及参与度的影响:一项随机对照试验的系统评价与荟萃分析

Effect of robotic exoskeleton training on lower limb function, activity and participation in stroke patients: a systematic review and meta-analysis of randomized controlled trials.

作者信息

Yang Juncong, Zhu Yongxin, Li Haojie, Wang Kun, Li Dan, Qi Qi

机构信息

Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Shanghai, China.

School of Exercise and Health, Shanghai University of Sport, Shanghai, China.

出版信息

Front Neurol. 2024 Aug 13;15:1453781. doi: 10.3389/fneur.2024.1453781. eCollection 2024.

Abstract

BACKGROUND

The current lower limb robotic exoskeleton training (LRET) for treating and managing stroke patients remains a huge challenge. Comprehensive ICF analysis and informative treatment options are needed. This review aims to analyze LRET' s efficacy for stroke patients, based on ICF, and explore the impact of intervention intensities, devices, and stroke phases.

METHODS

We searched Web of Science, PubMed, and The Cochrane Library for RCTs on LRET for stroke patients. Two authors reviewed studies, extracted data, and assessed quality and bias. Standardized protocols were used. PEDro and ROB2 were employed for quality assessment. All analyses were done with RevMan 5.4.

RESULTS

Thirty-four randomized controlled trials (1,166 participants) were included. For function, LRET significantly improved motor control (MD = 1.15, 95%CI = 0.29-2.01,  = 0.009, FMA-LE), and gait parameters (MD = 0.09, 95%CI = 0.03-0.16,  = 0.004, Instrumented Gait Velocity; MD = 0.06, 95%CI = 0.02-0.09,  = 0.002, Step length; MD = 4.48, 95%CI = 0.32-8.65,  = 0.04, Cadence) compared with conventional rehabilitation. For activity, LRET significantly improved walking independence (MD = 0.25, 95%CI = 0.02-0.48,  = 0.03, FAC), Gait Velocity (MD = 0.07, 95%CI = 0.03-0.11,  = 0.001) and balance (MD = 2.34, 95%CI = 0.21-4.47,  = 0.03, BBS). For participation, social participation (MD = 0.12, 95%CI = 0.03-0.21,  = 0.01, EQ-5D) was superior to conventional rehabilitation. Based on subgroup analyses, LRET improved motor control (MD = 1.37, 95%CI = 0.47-2.27,  = 0.003, FMA-LE), gait parameters (MD = 0.08, 95%CI = 0.02-0.14,  = 0.006, Step length), Gait Velocity (MD = 0.11, 95%CI = 0.03-0.19,  = 0.005) and activities of daily living (MD = 2.77, 95%CI = 1.37-4.16,  = 0.0001, BI) for the subacute patients, while no significant improvement for the chronic patients. For exoskeleton devices, treadmill-based exoskeletons showed significant superiority for balance (MD = 4.81, 95%CI = 3.10-6.52,  < 0.00001, BBS) and activities of daily living (MD = 2.67, 95%CI = 1.25-4.09,  = 0.00002, BI), while Over-ground exoskeletons was more effective for gait parameters (MD = 0.05, 95%CI = 0.02-0.08,  = 0.0009, Step length; MD = 6.60, 95%CI = 2.06-11.15,  = 0.004, Cadence) and walking independence (MD = 0.29, 95%CI = 0.14-0.44,  = 0.0002, FAC). Depending on the training regimen, better results may be achieved with daily training intensities of 45-60 min and weekly training intensities of 3 h or more.

CONCLUSION

These findings offer insights for healthcare professionals to make effective LRET choices based on stroke patient needs though uncertainties remain. Particularly, the assessment of ICF participation levels and the design of time-intensive training deserve further study.

SYSTEMATIC REVIEW REGISTRATION

https://www.crd.york.ac.uk/PROSPERO, Unique Identifier: CRD42024501750.

摘要

背景

目前用于治疗和管理中风患者的下肢机器人外骨骼训练(LRET)仍然是一项巨大挑战。需要进行全面的国际功能、残疾和健康分类(ICF)分析以及提供信息丰富的治疗方案。本综述旨在基于ICF分析LRET对中风患者的疗效,并探讨干预强度、设备和中风阶段的影响。

方法

我们在科学网、PubMed和考克兰图书馆中检索了关于LRET治疗中风患者的随机对照试验。两位作者对研究进行了审查、提取数据,并评估了质量和偏倚。使用了标准化方案。采用PEDro和ROB2进行质量评估。所有分析均使用RevMan 5.4完成。

结果

纳入了34项随机对照试验(1166名参与者)。在功能方面,与传统康复相比,LRET显著改善了运动控制(平均差[MD]=1.15,95%置信区间[CI]=0.29 - 2.01,P=0.009,下肢Fugl - Meyer评估量表[FMA - LE])以及步态参数(MD = 0.09,95%CI = 0.03 - 0.16,P = 0.004,仪器化步态速度;MD = 0.06,95%CI = 0.02 - 0.09,P = 0.002,步长;MD = 4.48,95%CI = 0.32 - 8.65,P = 0.04,步频)。在活动方面,LRET显著改善了步行独立性(MD = 0.25,95%CI = 0.02 - 0.48,P = 0.03,功能性步行能力量表[FAC])、步态速度(MD = 0.07,95%CI = 0.03 - 0.11,P = 0.001)和平衡能力(MD = 2.34,95%CI = 0.21 - 4.47,P = 0.03,伯格平衡量表[BBS])。在参与方面,社会参与度(MD = 0.12,95%CI = 0.03 - 0.21,P = 0.01,欧洲五维健康量表[EQ - 5D])优于传统康复。基于亚组分析,LRET改善了亚急性患者的运动控制(MD = 1.37,95%CI = 0.47 - 2.27,P = 0.003,FMA - LE)、步态参数(MD = 0.08,95%CI = 0.02 - 0.14,P = 0.006,步长)、步态速度(MD = 0.11,95%CI = 0.03 - 0.19,P = 0.005)和日常生活活动能力(MD = 2.77,95%CI = 1.37 - 4.16,P = 0.0001,巴氏指数[BI]),而对慢性患者没有显著改善。对于外骨骼设备,基于跑步机的外骨骼在平衡能力(MD = 4.81,95%CI = 3.10 - 6.52,P < 0.00001,BBS)和日常生活活动能力(MD = 2.67,95%CI = 1.25 - 4.09,P = 0.00002,BI)方面显示出显著优势,而地面外骨骼在步态参数(MD = 0.05,95%CI = 0.02 - 0.08,P = 0.0009,步长;MD = 6.60,95%CI = 2.06 - 11.15,P = 0.004,步频)和步行独立性(MD = 0.29,95%CI = 0.14 - 0.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac85/11347425/7d49f4d5e3f7/fneur-15-1453781-g001.jpg

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