在COVID-19感染后10周内,智能床评估睡眠和心肺功能
Gary Garcia-Molina1,2, Dmytro Guzenko3, Susan DeFranco4
1Sleep Number Labs, 111 N Market Street, Suite 500, San Jose, CA, 95113, USA. gary.garciamolina@sleepnumber.com.
Scientific reports
|January 21, 2025
概括
智能床监测了非住院COVID-19患者的生理变化. 一些患者经历了悖论性心肌梗塞,这可能表明感染后恢复延迟.
科学领域:
- 生物医学工程 生物医学工程
- 传染性疾病 传染性疾病
- 睡眠医学 睡眠医学
背景情况:
- 在非住院患者中,COVID-19感染后的生理变化数据有限.
- 了解这些变化对于评估长期健康影响和恢复轨迹至关重要.
研究的目的:
- 用智能床技术研究非住院COVID-19患者的生理变化.
- 识别与急性感染和恢复相关的潜在生物标志物或模式.
主要方法:
- 智能床被用来收集59名COVID-19阳性参与者的生物识别数据 (睡眠时间,运动,呼吸速率) 14周.
- 2020年的数据 (感染期间) 与2019年的基线数据进行了比较.
- 参与者还完成了关于人口统计,健康状况和症状严重程度的调查.
主要成果:
- 在急性感染期间,观察到睡眠时间 (64%),运动量 (51%) 和呼吸速率 (64%) 的增加.
- 一个显著的小组 (34%) 呈现出悖论性胸 (心率下降与呼吸频率/发烧升高),与更严重的症状相关.
- 智能床有效地检测到这些生理变化.
结论:
- 智能床是监测非住院患者COVID-19感染期间生理变化的可行工具.
- 悖论性胸可能成为COVID-19延迟康复的预测因素.
- 需要进一步的研究来探索这些发现的长期影响.
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