Digital Outcomes as Biomarkers of Disease Progression in Early Parkinson's Disease: A Systematic Review
Pablo Rábano-Suárez MD, Natalia del Campo PhD, Isabelle Benatru MD, Caroline Moreau MD, PhD, Clément Desjardins MD, Álvaro Sánchez-Ferro MD, PhD, Margherita Fabbri MD, PhD
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Abstract
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.
数字结果作为早期帕金森病疾病进展的生物标志物:系统综述
来自数字健康技术(dht)的结果是监测帕金森病(PD)进展的有希望的候选标志物。它们有可能代表PD临床研究和治疗发展的重大转变。然而,它们追踪疾病进展的能力尚未确定。本系统综述旨在通过回顾纵向研究(最少随访6个月),确定能够追踪PD早期进展(疾病持续时间<;5年)的数字生物标志物。我们评估了研究的设计和质量、人群特征、报告的dht及其表现以跟踪进展。在筛选的1507份记录中,选择了15项研究,这些研究发表于2009年至2023年之间,其中大多数来自最近5年。在这15项试验中,11项为观察性试验,4项为干预性试验(随访时间:6-60个月)。使用了12种不同的dht(8种需要主动测试,8种在医院使用),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dht。除一项研究外,所有研究均使用评定量表作为比较指标。当量表没有检测到纵向变化时,有三个DHT检测到纵向变化,其中一项研究显示,与评分量表相比,所选DHT特征随时间变化的效应更大。四项研究显示DHT特征与评分量表之间存在纵向相关性。初步有希望的数据表明,DHT衍生的结果可能有助于减少疾病修饰试验的样本量。有必要规范研究方法,促进数据共享,以确认这些结果,并进一步验证dht对PD疾病进展的敏感性。©2024作者。Wiley期刊有限责任公司代表国际帕金森和运动障碍学会出版的《运动障碍》。
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