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脊髓损伤患者中Lokomat与可穿戴外骨骼辅助步态训练的疗效比较:一项系统评价与网状Meta分析

Comparison of Efficacy of Lokomat and Wearable Exoskeleton-Assisted Gait Training in People With Spinal Cord Injury: A Systematic Review and Network Meta-Analysis.

作者信息

Zhang Lingjie, Lin Fabin, Sun Lei, Chen Chunmei

机构信息

School of Health, Fujian Medical University, Fuzhou, China.

Department of Neurosurgery, Fujian Medical University Union Hospital, Fuzhou, China.

出版信息

Front Neurol. 2022 Apr 13;13:772660. doi: 10.3389/fneur.2022.772660. eCollection 2022.

Abstract

OBJECTIVE

Lokomat and wearable exoskeleton-assisted walking (EAW) have not been directly compared previously. To conduct a network meta-analysis of randomized and non-randomized controlled trials to assess locomotor abilities achieved with two different types of robotic-assisted gait training (RAGT) program in persons with spinal cord injury (SCI).

METHODS

Three electronic databases, namely, PubMed, Embase, and the Cochrane Library, were systematically searched for randomized and non-randomized controlled trials published before August 2021, which assessed locomotor abilities after RAGT.

RESULTS

Of 319 studies identified for this review, 12 studies were eligible and included in our analysis. Studies from 2013 to 2021 were covered and contained 353 valid data points (N-353) on patients with SCI receiving wearable EWA and Lokomat training. In the case of wearable EAW, the 10-m walk test (10-MWT) distance and speed scores significantly increased [distance: 0.85 (95% CI = 0.35, 1.34); speed: -1.76 (95% CI = -2.79, -0.73)]. The 6-min walk test (6-MWT) distance [-1.39 (95% CI = -2.01, -0.77)] and the timed up and go (TUG) test significantly increased [(1.19 (95% CI = 0.74, 1.64)], but no significant difference was observed in the walking index for spinal cord injury (WISCI-II) [-0.33 (95% CI = -0.79, 0.13)]. Among the patients using Lokomat, the 10-MWT-distance score significantly increased [-0.08 (95% CI = -0.14, -0.03)] and a significant increase in the WISCI-II was found [1.77 (95% CI = 0.23, 3.31)]. The result of network meta-analysis showed that the probability of wearable EAW to rank first and that of Lokomat to rank second was 89 and 47%, respectively, in the 10-MWT speed score, while that of Lokomat to rank first and wearable EAW to rank second was 73 and 63% in the WISCI-II scores.

CONCLUSION

Lokomat and wearable EAW had effects on the performance of locomotion abilities, namely, distance, speed, and function. Wearable EAW might lead to better outcomes in walking speed compared with that in the case of Lokomat.

摘要

目的

此前尚未对Lokomat和可穿戴外骨骼辅助步行(EAW)进行直接比较。开展一项对随机和非随机对照试验的网络荟萃分析,以评估脊髓损伤(SCI)患者通过两种不同类型的机器人辅助步态训练(RAGT)方案所实现的运动能力。

方法

系统检索三个电子数据库,即PubMed、Embase和Cochrane图书馆,查找2021年8月之前发表的评估RAGT后运动能力的随机和非随机对照试验。

结果

本次综述共识别出319项研究,其中12项符合条件并纳入分析。涵盖了2013年至2021年的研究,包含353个关于接受可穿戴EWA和Lokomat训练的SCI患者的有效数据点(N = 353)。在可穿戴EAW的情况下,10米步行测试(10-MWT)的距离和速度得分显著增加[距离:0.85(95%CI = 0.35,1.34);速度:-1.76(95%CI = -2.79,-0.73)]。6分钟步行测试(6-MWT)的距离[-1.39((95%CI = -2.01,-0.77)]和计时起立行走测试(TUG)显著增加[(1.19(95%CI = 0.74,1.64)],但脊髓损伤步行指数(WISCI-II)无显著差异[-0.33(95%CI = -0.79,0.13)]。在使用Lokomat的患者中,10-MWT距离得分显著增加[-0.08(95%CI = -0.14,-0.03)],且WISCI-II显著增加[1.77(95%CI = 0.23,3.31)]。网络荟萃分析结果显示,在10-MWT速度得分方面,可穿戴EAW排名第一的概率为89%,Lokomat排名第二的概率为47%;而在WISCI-II得分方面,Lokomat排名第一的概率为73%,可穿戴EAW排名第二的概率为也63%。

结论

Lokomat和可穿戴EAW对运动能力的表现,即距离、速度和功能,均有影响。与Lokomat相比,可穿戴EAW可能在步行速度方面带来更好的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b65b/9044921/a046f5fbe7c3/fneur-13-772660-g0001.jpg

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