穿戴式传感器衍生的心率变化 (LF/HF):这是一个有前途的生物标志物,用于预测无意间的外科手术期间低温
Ling Shen1, Kai Wei1, Hongmei Xiao1
1Department of Anesthesiology, Eastern Hepatobiliary Surgery Hospital, Shanghai, China.
International journal of surgery (London, England)
|July 3, 2025
概括
一项新的研究表明,使用移动应用程序进行心率变化 (HRV) 分析可以预测无意中外科手术期间低温症 (IPH). 低频与高频功率比 (LF/HF) 度量显示为IPH风险分层的生物标志物具有前途.
科学领域:
- 麻醉学和外科手术期间的医学.
- 生物医学工程 生物医学工程
- 心血管生理学心血管生理学
背景情况:
- 意外的外科手术期间低温 (IPH) 是一个常见的并发症,特别是在发展中国家.
- 目前IPH的风险分层工具在资源有限的环境中不足.
- 迫切需要新的,可访问的方法来预测IPH.
研究的目的:
- 为了验证IPH风险的基于手机应用程序的心率变化 (HRV) 分析.
- 探索手术前HRV指标与IPH发病率之间的关联.
- 与现有的临床因素相比,确定IPH的优越HRV预测因子.
主要方法:
- 一项前性研究涉及220名接受腹部手术的成年患者.
- 使用可穿戴传感器和移动应用程序收集的手术前5分钟HRV数据.
- 多变量后勤回归和ROC曲线分析,以评估HRV指标 (LF/HF) 和核心温度,用于IPH预测.
主要成果:
- HRV指标LF/HF被确定为IPH的优越预测指标.
- 纳入LF/HF和基线温度的回归模型实现了高AUC值 (0.96为30分钟,0.92为1小时).
- 通过包括LF/HF指标,IPH预测的准确性得到了显著提高.
结论:
- 手术前的HRV分析,特别是LF/HF比率,显示出作为IPH生物标志物的显著潜力.
- 这种基于移动应用程序的方法为IPH风险分层提供了一个有希望的,可访问的工具.
- 需要进一步的研究来确定HRV作为IPH可靠的临床预测指标.
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