Rábano-Suárez Pablo, Del Campo Natalia, Benatru Isabelle, Moreau Caroline, Desjardins Clément, Sánchez-Ferro Álvaro, Fabbri Margherita
Hospital Universitario 12 de Octubre, Madrid, Spain.
Department of Neurosciences, Clinical Investigation Center CIC 1436, Parkinson Toulouse Expert Centre, NS-Park/FCRIN Network and NeuroToul COEN Center, Toulouse University Hospital, INSERM, University of Toulouse 3, Toulouse, France.
Mov Disord. 2025 Feb;40(2):184-203. doi: 10.1002/mds.30056. Epub 2024 Nov 29.
Outcomes derived from digital health technologies (DHTs) are promising candidate markers for monitoring Parkinson's disease (PD) progression. They have the potential to represent a significant shift in clinical research and therapeutic development in PD. However, their ability to track disease progression is yet to be established. This systematic review aimed to identify digital biomarkers capable of tracking early PD progression (disease duration <5 years) by reviewing longitudinal studies (minimum follow-up of 6 months). We evaluated study design and quality, population features, reported DHTs and their performance to track progression. Of 1507 records screened, 15 studies were selected, published between 2009 and 2023, with the majority coming from the last 5 years. Of the 15, 11 were observational and four were interventional trials (follow-up range: 6-60 months). Twelve different DHTs were used (8 required active tests, 8 in-hospital use), capturing features related to motor function and daily activities, including five DHTs focused on gait/posture. Rating scales were used as comparators in all but one study. Three DHTs detected longitudinal changes when scales did not, with one study showing larger effect sizes for change over time of selected DHT features compared to rating scales. Four studies showed longitudinal correlations among DHT features and rating scales. Preliminary promising data suggest that DHT-derived outcomes may help reduce sample sizes in disease-modifying trials. There is a need to standardize study methodologies and facilitate data sharing to confirm these results and further validate the sensitivity of DHTs to track disease progression in PD. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
数字健康技术(DHTs)所产生的结果有望成为监测帕金森病(PD)进展的候选标志物。它们有可能代表PD临床研究和治疗发展的重大转变。然而,其追踪疾病进展的能力尚未得到证实。本系统综述旨在通过回顾纵向研究(最短随访6个月)来确定能够追踪早期PD进展(病程<5年)的数字生物标志物。我们评估了研究设计和质量、人群特征、报告的DHTs及其追踪进展的性能。在筛选的1507条记录中,选择了15项研究,发表于2009年至2023年之间,其中大多数来自过去5年。在这15项研究中,11项为观察性研究,4项为干预性试验(随访范围:6 - 60个月)。使用了12种不同的DHTs(8种需要进行主动测试,8种用于医院内),捕捉与运动功能和日常活动相关的特征,包括5种专注于步态/姿势的DHTs。除一项研究外,所有研究均使用评分量表作为对照。当评分量表未检测到纵向变化时,有3种DHTs检测到了变化,一项研究表明,与评分量表相比,所选DHT特征随时间变化的效应量更大。四项研究显示了DHT特征与评分量表之间的纵向相关性。初步的有前景的数据表明,DHT衍生的结果可能有助于减少疾病修饰试验中的样本量。需要规范研究方法并促进数据共享,以证实这些结果,并进一步验证DHTs追踪PD疾病进展的敏感性。© 2024作者。《运动障碍》由Wiley Periodicals LLC代表国际帕金森和运动障碍协会出版。