自主心率变化趋势预测了意识障碍的结果
Francesco Riganello1, Maria Daniela Cortese2, Martina Vatrano2
1S. Anna Institute, Research in Advanced Neurorehabilitation, Via Siris 11, 88900, Crotone, KR, Italy. f.riganello@isakr.it.
Scientific reports
|September 27, 2025
概括
心率变化 (HRV) 比率可以预测患者在意识障碍 (DoC) 的结果. 这项研究将HRV分析与机器学习相结合,显示出在DoC患者中改善预后准确性的前景.
科学领域:
- 神经科学是一个神经科学.
- 自主神经系统研究 自主神经系统研究
- 生物医学工程 生物医学工程
背景情况:
- 意识障碍 (DoC),包括不响应的清醒综合征 (UWS/VS) 和最小意识状态 (MCS),存在重大诊断挑战,错误诊断率高.
- 准确的预后对于指导医疗中心的临床管理和患者护理至关重要.
研究的目的:
- 调查心率变化 (HRV) 比率的预后潜力,预测心率变化患者的预后结果.
- 评估将HRV分析与支持矢量机 (SVM) 分类用于DoC预后的有效性.
主要方法:
- 招募了50名DoC患者;40人用于SVM模型培训,10人用于独立测试.
- HRV分析涉及高频和低频组件的比率,以及样本值,以评估自主变化.
- 在三个星期内进行了每周的评估,以捕捉动态的生理反应.
主要成果:
- 在训练期间,SVM模型实现了高准确度 (总准确度为97%,交叉验证中的错误分类为0%).
- 独立的测试组显示了80%的整体准确性,表明了良好的预后性能.
- 阴道反应的早期恢复,其次是同情激活在HRV比率与积极的患者轨迹相关.
结论:
- HRV比率分析,特别是阴道和交感反应的模式,在预测医疗中心患者的结果方面具有显著价值.
- 将HRV分析与机器学习相结合,提供了一种有希望的方法来提高DoC中的预后评估.
- 建议对更大的队列进行进一步研究,以验证这些发现并探索纵向数据整合.
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