Geßner Anne, Vágó Anikó, Stölzer-Hutsch Heidi, Schriefer Dirk, Hartmann Maximilian, Trentzsch Katrin, Ziemssen Tjalf
Center of Clinical Neuroscience, Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, 01307 Dresden, Germany.
Bioengineering (Basel). 2025 Jun 3;12(6):610. doi: 10.3390/bioengineering12060610.
(1) Background: When implementing new biomechanical and technology-based assessments, such as the jump assessment in Multiple Sclerosis (MS), into clinical routine, it is important to ensure that they are based on the real needs of patients and to identify and adapt to potential barriers early on. (2) Methods: In the present cross-sectional study, 157 pwMS performed a sensor-based jump assessment on a force plate consisting of three jump tests: 10 s jump test (10SHT), countermovement jumps (CMJ), and single-leg countermovement jumps (SLCMJ). After the jump assessment, the patient experience measures (PREM) were recorded using a paper-based questionnaire on an 11-point scale from 0 (positive) to 10 (negative). (3) Results: PwMS showed an overall positive experience with the sensor-based jump assessment. "Staff support performance", "acceptance required time", "usefulness" of the results, and "integration of results in therapy" were the best rated items with a median of 0 (positive). The CMJ was perceived as the easy ( < 0.05) and less exhausting ( < 0.05). PwMS who experienced CMJ as easy, not exhausting, and safe were associated with higher CMJ performance, especially in peak power, flight time, and jump height (r > -0.4). Significant associations were found between PREMs and age, sex, BMI, physical activity, and disability degree. (4) Conclusions: The study findings support the feasibility of jump assessment in clinical practice and highlight the need for patient-centered integration of innovative technologies to optimize precision neuromuscular function evaluation in MS.
(1) 背景：在将新的基于生物力学和技术的评估方法，如用于多发性硬化症（MS）的跳跃评估，纳入临床常规操作时，确保这些评估基于患者的实际需求，并尽早识别和适应潜在障碍非常重要。(2) 方法：在本横断面研究中，157例MS患者在测力平台上进行了基于传感器的跳跃评估，该评估包括三项跳跃测试：10秒跳跃测试（10SHT）、反向运动跳跃（CMJ）和单腿反向运动跳跃（SLCMJ）。跳跃评估后，使用纸质问卷以11分制（从0分（积极）到10分（消极））记录患者体验指标（PREM）。(3) 结果：MS患者对基于传感器的跳跃评估总体体验良好。“工作人员支持表现”、“接受所需时间”、结果的“有用性”以及“结果在治疗中的整合”是评分最高的项目，中位数为0（积极）。CMJ被认为是最容易的（<0.05）且最不累的（<0.05）。认为CMJ容易、不累且安全的MS患者其CMJ表现更好，尤其是在峰值功率、飞行时间和跳跃高度方面（r>-0.4）。在PREM与年龄、性别、BMI、身体活动和残疾程度之间发现了显著关联。(4) 结论：研究结果支持跳跃评估在临床实践中的可行性，并强调需要以患者为中心整合创新技术，以优化MS患者的精准神经肌肉功能评估。
