Son Sungsik, Lim Kil-Byung, Kim Jiyong, Lee Changhun, Cho Sung Ii, Yoo Jeehyun
Department of Rehabilitation Medicine, Inje University Ilsan Paik Hospital, Juhwa-ro 170, Ilsanseo-gu, Goyang-si 10380, Gyeonggi-do, Korea.
Department of Rehabilitation Center, Inje University Ilsan Paik Hospital, Juhwa-ro 170, Ilsanseo-gu, Goyang-si 10380, Gyeonggi-do, Korea.
Brain Sci. 2022 Sep 17;12(9):1261. doi: 10.3390/brainsci12091261.
This study aimed to discover the effects of robotic rehabilitation utilizing an exoskeletal-type robot-assisted gait training (RAGT) device on patients with ataxic and hemiplegic stroke and to compare its effectiveness between the two groups. This was a retrospective study, and the electronic charts of 22 patients who underwent RAGT treatment from October 2019 to June 2021 were reviewed. Patients were divided into ataxic and hemiplegic groups based on their symptoms. The clinical outcome measures included the Berg balance scale (BBS), functional ambulation category (FAC), and mobility subcategories of the modified Barthel Index (MBI-m). Outcome measures were reviewed at two points within 48 h, before and after RAGT with EXOWALK®, a type of exoskeletal robot. After the RAGT sessions, total patients in both ataxic and hemiplegic groups demonstrated statistically significant improvements in BBS (p < 0.0001, p = 0.002, and p = 0.005, respectively) and MBI-m (p < 0.0001, p = 0.002, and p = 0.011, respectively). Additionally, FAC after RAGT was significantly improved (p = 0.0056). The regression coefficient of the number of RAGT treatments for BBS changes in the nine subjects was estimated to be 2.45; 3.50 in the ataxic group and 2.26 in the hemiplegic group. The regression coefficient of the number of RAGT treatments for MBI-m changes in the nine subjects was estimated to be 0.16; 4.00 in the ataxic group and −0.52 in the hemiplegic group. Our results suggest that RAGT using an exoskeletal-type robot, EXOWALK®, could be effective for improving walking capacity, balance, and daily activities of life in patients with ataxic and hemiplegic stroke.
本研究旨在探讨利用外骨骼式机器人辅助步态训练（RAGT）设备进行机器人康复对共济失调性和偏瘫性中风患者的影响，并比较两组之间的有效性。这是一项回顾性研究，回顾了2019年10月至2021年6月接受RAGT治疗的22例患者的电子病历。根据症状将患者分为共济失调组和偏瘫组。临床结局指标包括伯格平衡量表（BBS）、功能性步行分类（FAC）和改良巴氏指数（MBI-m）的移动亚类。在使用外骨骼机器人EXOWALK®进行RAGT前后48小时内的两个时间点对结局指标进行评估。RAGT疗程结束后，共济失调组和偏瘫组的所有患者在BBS（分别为p<0.0, p = 0.002和p = 0.005）和MBI-m（分别为p<0.0001, p = 0.002和p = 0.011）方面均表现出统计学上的显著改善。此外，RAGT后的FAC有显著改善（p = 0.0056）。估计九名受试者中BBS变化的RAGT治疗次数的回归系数为2.45；共济失调组为3.50，偏瘫组为2.26。估计九名受试者中MBI-m变化的RAGT治疗次数的回归系数为0.16；共济失调组为4.00，偏瘫组为-0.52。我们的结果表明，使用外骨骼式机器人EXOWALK®进行RAGT可能对改善共济失调性和偏瘫性中风患者的步行能力、平衡能力和日常生活活动有效。
