通过可穿戴设备自动检测COVID感染后持续的生理变化,具有长期COVID管理的潜力
Soheil Borhani1, Ikaro Silva2, Robert J Damiano2
1Philips North America, Cambridge, MA, USA. Soheil.Borhani@philips.com.
Scientific reports
|August 11, 2025
概括
可穿戴设备可能有助于诊断长期COVID,通过检测持续的生理变化,如SARS-CoV-2感染后个人的心率变化. 这种数据驱动的方法为慢性后COVID疾病提供了客观指标.
科学领域:
- 心脏病学 心脏病学
- 传染性疾病 传染性疾病
- 数字健康数字健康
背景情况:
- 在没有客观诊断测试的情况下,SARS-CoV-2感染 (PASC) 或长期COVID的后急性后续症状呈现出各种症状.
- 由于长期COVID的主观和多系统性质,准确诊断仍然具有挑战性.
研究的目的:
- 开发和验证数据驱动的方法,客观地检测与长期COVID相关的持续生理变化.
- 探索可穿戴设备数据在识别长期COVID的客观标记物的实用性.
主要方法:
- 在一大批美国军人中,对可穿戴设备的生理数据进行了回顾性分析.
- 症状 COVID-19 阳性病例和无症状 COVID-19 阴性对照之间的数据比较.
- 开发一个数据驱动的算法,以识别显著的生理偏差.
主要成果:
- 在9.4%的COVID-19阳性个体中发现了持续的生理变化.
- 通常观察到的变化包括夜间心率升高和心率变化指标降低.
- 该方法证明了客观检测慢性COVID后生理变化的潜力.
结论:
- 可穿戴技术可以客观地检测超出SARS-CoV-2感染急性阶段的慢性生理变化.
- 开发的方法可能有助于标准化长期COVID诊断标准.
- 需要进一步的临床验证,才能在长期COVID诊断中完全实施这种方法.
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