小柯机器人

帕金森病可通过远程智能手机监测
2021-08-13 16:37

美国赛智生物网络研究所Lara M. Mangravite等研究人员合作表明,帕金森病可通过远程智能手机监测。这一研究成果于2021年8月9日在线发表在国际学术期刊《自然—生物技术》上。

研究人员揭示了智能手机在帕金森病(PD)的远程mPower观察研究中收集真实世界数据(RWD)的性能和局限性。在研究开始后的前6个月内,有960名参与者注册并进行了至少5次自主管理的主动帕金森病症状评估(快速敲击、步态/平衡、发声或记忆)。与MDS-UPDRS评分相比,任务表现(特别是加速敲击)对自我报告的PD状态有预测作用(接收器操作特征曲线下的面积(AUC)=0.8),并且与诊所内的疾病严重程度评估相关(r=0.71;P<1.8×10-6)。

尽管远程评估需要仔细考虑对RWD的准确解释,但这些结果支持将智能手机和可穿戴设备用于客观和个性化的疾病评估。

据介绍,在诊所环境之外收集RWD的远程健康评估需要清楚了解数据收集、质量评估、分析和解释的适当方法。

附:英文原文

Title: Remote smartphone monitoring of Parkinson’s disease and individual response to therapy

Author: Omberg, Larsson, Chaibub Neto, Elias, Perumal, Thanneer M., Pratap, Abhishek, Tediarjo, Aryton, Adams, Jamie, Bloem, Bastiaan R., Bot, Brian M., Elson, Molly, Goldman, Samuel M., Kellen, Michael R., Kieburtz, Karl, Klein, Arno, Little, Max A., Schneider, Ruth, Suver, Christine, Tarolli, Christopher, Tanner, Caroline M., Trister, Andrew D., Wilbanks, John, Dorsey, E. Ray, Mangravite, Lara M.

Issue&Volume: 2021-08-09

Abstract: Remote health assessments that gather real-world data (RWD) outside clinic settings require a clear understanding of appropriate methods for data collection, quality assessment, analysis and interpretation. Here we examine the performance and limitations of smartphones in collecting RWD in the remote mPower observational study of Parkinson’s disease (PD). Within the first 6months of study commencement, 960 participants had enrolled and performed at least five self-administered active PD symptom assessments (speeded tapping, gait/balance, phonation or memory). Task performance, especially speeded tapping, was predictive of self-reported PD status (area under the receiver operating characteristic curve (AUC)=0.8) and correlated with in-clinic evaluation of disease severity (r=0.71; P<1.8×106) when compared with motor Movement Disorder Society-Unified Parkinson’s Disease Rating Scale (MDS-UPDRS). Although remote assessment requires careful consideration for accurate interpretation of RWD, our results support the use of smartphones and wearables in objective and personalized disease assessments.

DOI: 10.1038/s41587-021-00974-9

Source: https://www.nature.com/articles/s41587-021-00974-9

 

Nature Biotechnology:《自然—生物技术》,创刊于1996年。隶属于施普林格·自然出版集团,最新IF:68.164
官方网址:https://www.nature.com/nbt/
投稿链接:https://mts-nbt.nature.com/cgi-bin/main.plex


本期文章:《自然—生物技术》:Online/在线发表

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