基于智能手表的帕金森运动评估应用程序的真实世界证据,用于接受治疗改变的患者。

Q1 Computer Science Digital Biomarkers Pub Date : 2021-09-08 eCollection Date: 2021-09-01 DOI:10.1159/000518571
Aaron J Hadley, David E Riley, Dustin A Heldman
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引用次数: 8

摘要

简介:帕金森病(PD)在临床之外的量化程度较差,纸质日记存在主观描述和偏见的问题。可穿戴传感器平台;然而,可以准确地量化症状,如震颤、运动障碍和运动迟缓。市售的智能手表配备了加速度计和陀螺仪,可以测量运动以进行客观评估。我们试图评估基于处方智能手表的PD监测系统的临床应用,该系统利用周期性的基于任务的运动评估。方法:16例PD患者使用基于智能手机和智能手表的监测系统,在医生建议改变治疗方案前1周和改变治疗方案后4周客观评估运动症状。5周后,参与者回到诊所与医生讨论他们的结果,医生根据报告和他的临床判断提出治疗建议。症状评分与用药日记同步,并计算治疗在每周和每小时时间尺度上的时间效应。结果:13名参与者成功完成了研究,平均每天4.9次评估,每周3天。医生指示8名参与者继续他们的新方案,5名恢复他们以前的方案。基于智能手表的评估成功地捕获了日内波动以及对治疗的短期和长期反应,包括在7名参与者中检测到至少一种症状的显着改善(p < 0.05)。结论:基于智能手表的应用程序成功捕获了每小时、每天和每周时间尺度上应用新疗法后症状评分的时间趋势。这些结果表明,经过验证的基于智能手表的PD监测可以提供临床相关信息,并可能减少传统办公室就诊以调整治疗的需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Real-World Evidence for a Smartwatch-Based Parkinson's Motor Assessment App for Patients Undergoing Therapy Changes.

Introduction: Parkinson's disease (PD) is poorly quantified by patients outside the clinic, and paper diaries have problems with subjective descriptions and bias. Wearable sensor platforms; however, can accurately quantify symptoms such as tremor, dyskinesia, and bradykinesia. Commercially available smartwatches are equipped with accelerometers and gyroscopes that can measure motion for objective evaluation. We sought to evaluate the clinical utility of a prescription smartwatch-based monitoring system for PD utilizing periodic task-based motor assessment.

Methods: Sixteen patients with PD used a smartphone- and smartwatch-based monitoring system to objectively assess motor symptoms for 1 week prior to instituting a doctor recommended change in therapy and for 4 weeks after the change. After 5 weeks the participants returned to the clinic to discuss their results with their doctor, who made therapy recommendations based on the reports and his clinical judgment. Symptom scores were synchronized with the medication diary and the temporal effects of therapy on weekly and hourly timescales were calculated.

Results: Thirteen participants successfully completed the study and averaged 4.9 assessments per day for 3 days per week during the study. The doctor instructed 8 participants to continue their new regimens and 5 to revert to their previous regimens. The smartwatch-based assessments successfully captured intraday fluctuations and short- and long-term responses to therapies, including detecting significant improvements (p < 0.05) in at least one symptom in 7 participants.

Conclusions: The smartwatch-based app successfully captured temporal trends in symptom scores following application of new therapy on hourly, daily, and weekly timescales. These results suggest that validated smartwatch-based PD monitoring can provide clinically relevant information and may reduce the need for traditional office visits for therapy adjustment.

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来源期刊
Digital Biomarkers
Digital Biomarkers Medicine-Medicine (miscellaneous)
CiteScore
10.60
自引率
0.00%
发文量
12
审稿时长
23 weeks
期刊最新文献
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