Hwang Sujin, Song Chiang-Soon
Department of Physical Therapy, Division of Health Science, Baekseok University, Cheonan 31065, Republic of Korea.
The Graduate School of Health Welfare, Baekseok University, Seoul 06695, Republic of Korea.
Healthcare (Basel). 2023 Aug 7;11(15):2225. doi: 10.3390/healthcare11152225.
This study aimed to comprehensively summarize assistive technology devices for postural control and gait performance in stroke patients. In the study, we searched for randomized controlled trials (RCTs) published until 31 December 2022 in four electrical databases. The most frequently applied assistive technology devices involving postural stability and gait function for stroke patients were robot-assistive technology devices. Out of 1065 initially retrieved citations that met the inclusion criteria, 30 RCTs (12 studies for subacute patients and 18 studies for chronic patients) were included in this review based on eligibility criteria. The meta-analysis included ten RCTs (five studies for subacute patients and five for chronic patients) based on the inclusion criteria of the data analysis. After analyzing, the variables, only two parameters, the Berg balance scale (BBS) and the functional ambulation category (FAC), which had relevant data from at least three studies measuring postural control and gait function, were selected for the meta-analysis. The meta-analysis revealed significant differences in the experimental group compared to the control group for BBS in both subacute and chronic stroke patients and for the FAC in chronic stroke patients. Robot-assistive training was found to be superior to regular therapy in improving postural stability for subacute and chronic stroke patients but not gait function. This review suggests that robot-assistive technology devices should be considered in rehabilitative approaches for postural stability and gait function for subacute and chronic stroke patients.
本研究旨在全面总结用于中风患者姿势控制和步态表现的辅助技术设备。在该研究中,我们在四个电子数据库中检索了截至2022年12月31日发表的随机对照试验(RCT)。中风患者中最常应用的涉及姿势稳定性和步态功能的辅助技术设备是机器人辅助技术设备。在最初检索到的1065篇符合纳入标准的文献中,根据纳入标准,本综述纳入了30项RCT(12项针对亚急性患者的研究和18项针对慢性患者的研究)。基于数据分析的纳入标准,荟萃分析纳入了10项RCT(5项针对亚急性患者的研究和5项针对慢性患者的研究)。在分析变量后,仅选择了两个参数,即伯格平衡量表(BBS)和功能性步行分类(FAC)进行荟萃分析,这两个参数至少有三项测量姿势控制和步态功能的研究提供了相关数据。荟萃分析显示,在亚急性和慢性中风患者中,实验组与对照组在BBS方面存在显著差异,在慢性中风患者中,实验组与对照组在FAC方面存在显著差异。研究发现,机器人辅助训练在改善亚急性和慢性中风患者的姿势稳定性方面优于常规治疗,但在改善步态功能方面则不然。本综述表明,对于亚急性和慢性中风患者的姿势稳定性和步态功能康复方法,应考虑使用机器人辅助技术设备。