关于数字移动结果对帕金森病个性化临床决策支持的临床实用性的共识
Alan Castro Mejia1, Stefano Sapienza2, Ivana Paccoud1
1Luxembourg Centre for Systems Biomedicine, Digital Medicine Group, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Neurological research and practice
|September 19, 2025
概括
数字移动成果 (DMOs) 为帕金森病研究提供了客观的措施. 开发了一个共识框架,将DMO映射到临床实用性,帮助未来的试验规划和现实世界的应用.
科学领域:
- 生物医学工程 生物医学工程
- 临床信息学 临床信息学
- 神经学 神经学
背景情况:
- 数字移动性结果 (DMO) 是临床研究的新客观生物标志物.
- 关于DMO的研究尚未探索它们在帕金森病 (PD) 中的临床实用性.
- 本研究旨在创建一个框架,将DMO知识映射到PD的临床应用中.
研究的目的:
- 开发一个结构化的概念框架,用于DMOs在帕金森病.
- 将DMO知识映射到从这些新型生物标志物中受益的临床领域.
- 以指导未来的研究和在临床环境中使用DMO的应用.
主要方法:
- 一项为期三轮的共识建设研究,涉及Mobilise-D联盟的PD工作组的12名专家.
- 专家们使用5级利克特级别对框架方面进行了排名,以达成共识.
- 其次要目标包括评价DMO的适用性,实施挑战和决策角色.
主要成果:
- 在临床实用性框架上达成全面共识,其中包括三个类别和六个领域.
- 专家预计,DMO将在1-5年内在临床决策中发挥重要作用.
- 一个主要的挑战是确定DMO可解释性的明确参考值.
结论:
- 开发的框架构建了对DMO的未来研究,扩展到PD之外.
- 结果支持研究人员规划临床试验,将DMO纳入决策支持中.
- 这项工作是指向评估DMO临床实用性和现实世界的整合指南的基本步骤.
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