School of Physical & Occupational Therapy, McGill University, Montreal, Canada.
Interdisciplinary Research Center in Rehabilitation, Montreal, Canada.
J Neuroeng Rehabil. 2021 Apr 14;18(1):61. doi: 10.1186/s12984-021-00851-1.
Approximately 80% of individuals with chronic stroke present with long lasting upper extremity (UE) impairments. We designed the perSonalized UPper Extremity Rehabilitation (SUPER) intervention, which combines robotics, virtual reality activities, and neuromuscular electrical stimulation (NMES). The objectives of our study were to determine the feasibility and the preliminary efficacy of the SUPER intervention in individuals with moderate/severe stroke.
Stroke participants (n = 28) received a 4-week intervention (3 × per week), tailored to their functional level. The functional integrity of the corticospinal tract was assessed using the Predict Recovery Potential algorithm, involving measurements of motor evoked potentials and manual muscle testing. Those with low potential for hand recovery (shoulder group; n = 18) received a robotic-rehabilitation intervention focusing on elbow and shoulder movements only. Those with a good potential for hand recovery (hand group; n = 10) received EMG-triggered NMES, in addition to robot therapy. The primary outcomes were the Fugl-Meyer UE assessment and the ABILHAND assessment. Secondary outcomes included the Motor Activity Log and the Stroke Impact Scale.
Eighteen participants (64%), in either the hand or the shoulder group, showed changes in the Fugl-Meyer UE or in the ABILHAND assessment superior to the minimal clinically important difference.
This indicates that our personalized approach is feasible and may be beneficial in improving UE function in individuals with moderate to severe impairments due to stroke.
ClinicalTrials.gov NCT03903770. Registered 4 April 2019. Registered retrospectively.
大约 80%的慢性中风患者存在上肢(UE)长期受损的情况。我们设计了个性化上肢康复(SUPER)干预措施,该措施结合了机器人技术、虚拟现实活动和神经肌肉电刺激(NMES)。我们研究的目的是确定 SUPER 干预措施在中重度中风患者中的可行性和初步疗效。
中风参与者(n=28)接受了为期 4 周的干预(每周 3 次),根据他们的功能水平进行了个性化定制。皮质脊髓束的功能完整性通过预测恢复潜力算法进行评估,包括运动诱发电位和手动肌肉测试的测量。那些手部恢复潜力较低的人(肩部组;n=18)仅接受针对肘部和肩部运动的机器人康复干预。那些手部恢复潜力较好的人(手部组;n=10)接受肌电图触发的 NMES,以及机器人治疗。主要结果是 Fugl-Meyer UE 评估和 ABILHAND 评估。次要结果包括运动活动日志和中风影响量表。
肩部或手部组的 18 名参与者(64%)在 Fugl-Meyer UE 或 ABILHAND 评估中显示出变化,优于最小临床重要差异。
这表明我们的个性化方法是可行的,可能有助于改善中重度中风患者的 UE 功能。
ClinicalTrials.gov NCT03903770。2019 年 4 月 4 日注册。回顾性注册。