可穿戴设备可以检测出先前发生的生理变化,并与症状和炎症性类风湿关节炎爆发相关
Pragya Sharma1, Matteo Danieletto1,2, Jessica K Whang3
1Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
medRxiv : the preprint server for health sciences
|October 3, 2025
概括
可穿戴设备可以检测之前的类风湿性关节炎 (RA) 爆发的生理变化. 监测心率和步骤可能有助于预测症状和炎症性RA爆发的发展.
科学领域:
- 类风湿病学 类风湿病学
- 生物医学工程 生物医学工程
- 数字健康数字健康
背景情况:
- 类风湿性关节炎 (RA) 的特点是生理变化.
- 目前对RA爆发的监测方法可能是反应性的.
研究的目的:
- 调查可穿戴设备数据是否可以识别和预测类风湿性关节炎 (RA) 爆发.
- 在症状和炎症爆发之前评估生理学指标变化.
主要方法:
- 53名RA参与者使用可穿戴设备 (Apple Watch,Fitbit,Oura Ring) 平均为105天.
- 收集的数据包括心率 (HR),静止心率 (RHR),心率变化 (HRV) 和步骤.
- 统计模型分析了生理指标与RA爆发/缓解期之间的关联.
主要成果:
- 在症状期间观察到较低的步骤和更高的夜间HR.
- 较高的每日HR,白天HR,夜间HR和RHR与炎症爆发相关.
- 循环心律HRV的特点是从缓解中区分出来的火焰.
- 所有监测的指标都显示了在爆发前4周的变化.
结论:
- 可穿戴设备数据显示了对监测RA疾病活动的潜力.
- 来自可穿戴设备的生理指标可以预测症状和炎症性RA爆发.
- 这项技术可以实现主动的RA管理和干预.
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