在欧洲Mobilise-D临床验证研究中招募多发性硬化症队列 - - 学到的经验教训,基线人口统计和临床特征
Gavin Brittain1,2, Ellen Buckley3,4,5, Vita Lanfranchi3,5,6
1Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK. gavin.brittain@sheffield.ac.uk.
Trials
|January 17, 2026
概括
这项研究验证了多发性硬化症 (MS) 患者的数字移动解决方案,表明它可以收集真实世界的移动数据. 这项技术为步行活动和步态提供了新的见解,以更好地评估MS中的残疾.
科学领域:
- 神经学 神经学
- 生物医学工程 生物医学工程
- 康复科学 康复科学 康复科学
背景情况:
- 多发性硬化症 (MS) 是劳动年龄成年人残疾的主要原因,目前的评估无法充分预测结果.
- 流动性丧失是MS患者的显著功能障碍.
- 该Mobise-D项目旨在创建一个数字移动解决方案,用于使用可穿戴设备进行无监督的性能测量.
研究的目的:
- 开发,验证和实施数字移动解决方案,用于测量MS患者无监督移动性能.
- 评估数字移动性评估的构造有效性,预测能力,响应能力和临床意义.
- 获得对现实世界的移动性,包括行走活动和步态结果的新见解.
主要方法:
- 在四个欧洲中心招募了602名患有多发性硬化症的成年人 (扩展残疾状况尺度[EDSS] 3.0-6.5).
- 参与者已经记录了残疾恶化,并且在招募前30天没有复发.
- 使用单个可穿戴设备收集的移动数据.
主要成果:
- 招募了602名参与者 (42%的受邀者),平均年龄为52岁,64%是女性.
- 平均EDSS得分为5.0,其中56%的人患有复发性复发性MS.
- 58%的参与者报告在前12个月内跌倒,93%提供了有效的流动性数据.
结论:
- 纵向临床和无监督移动数据将使数字移动评估的全面验证成为可能.
- 该研究将确定这些数字工具的有效性,预测能力,响应能力和临床意义.
- 将实现对MS患者现实世界移动性的新理解,包括步行活动和步态.
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