使用数字可穿戴设备研究COVID-19的后急性后果:一个潜在的纵向观察研究的协议
Sherine El-Toukhy1, Phillip Hegeman1, Gabrielle Zuckerman1
1Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Rockville, MD, United States.
JMIR research protocols
|August 16, 2024
概括
这项研究使用可穿戴设备监测非住院患者COVID-19 (PASC) 后急性后续症状的生理征兆. 研究结果将揭示不同患者群体的PASC持续时间和症状.
科学领域:
- 数字健康数字健康
- 可穿戴技术是可穿戴的技术.
- 传染病流行病学 传染病流行病学
背景情况:
- 在非住院患者中,COVID-19 (PASC) 后急性后续症是研究不足的.
- 数字可穿戴设备为疾病监测提供持续的生理数据 (呼吸速率,氧和).
- 这些参数预测了住院COVID-19患者的疾病轨迹.
研究的目的:
- 为PASC.概述一个前性的,纵向的,观察性研究协议.
- 为了确定与PASC相关的可穿戴设备收集的生理参数.
- 在COVID-19阳性诊断的患者中分析PASC.
主要方法:
- 这是一项单臂,前性,观察性研究,对550名参与者 (18-65岁) 进行了观察.
- 参与者拥有智能手机/平板电脑,最近有阳性COVID-19测试,并同意6个月的监测.
- 主要终点:长期COVID (3周后≥1个症状);次要终点:慢性COVID (12周后≥1个症状).
主要成果:
- 第一个患者于2021年10月被录取.
- 预计研究结果将在2025年发表.
结论:
- 这项分散的研究研究了PASC使用可穿戴设备的生理和患者报告的数据.
- 这项研究将澄清非住院子组中PASC持续时间和症状模式.
- 它作为使用可穿戴设备在人口层面的传染病健康监测中的模型.
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