在缺血性中风和高风险TIA患者中检测心房动的常规心率变化参数的值
Kurt Moelgg1,2, Anel Karisik1,2, Lucie Buergi1,2
1Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Frontiers in stroke
|February 6, 2026
概括
来自霍尔特心电图的心率变化 (HRV) 可以预测中风患者心房动 (AF) 风险. 特定的HRV指标显著改善了超越现有临床分数的预测.
科学领域:
- 心脏病学 心脏病学
- 神经学 神经学
- 医学诊断 医学诊断 医学诊断
背景情况:
- 未检测到的心房动 (AF) 是复发性缺血性中风的重要危险因素.
- 目前AF的预测得分缺乏心率变化 (HRV) 措施的整合.
- HRV参数可以从标准的24小时霍尔特心电图 (ECG) 中轻松获得.
研究的目的:
- 评估时间域HRV参数在预测非AF缺血性中风或高风险过渡性缺血性发作 (TIA) 患者的一年内发生的AF的有效性.
- 将HRV测量的预测性能与已建立的临床预测得分 (Brown-ESUS AF和AS5F) 进行比较.
主要方法:
- 这项研究包括来自STROKE-CARD注册表 (NCT04582825) 的697名患者.
- 评估了八个时间域HRV参数.
- 采用接收器运行特征 (ROC) 分析,物流回归和Youden指数来确定最佳截止值并比较预测性能.
主要成果:
- 在4.0%的患者中检测到新发性AF.
- 与临床分数 (AUC ≤ 0.612) 相比,PNN50,rMSSD和SDSD在AF预测方面表现出更好的区别 (AUC 0.711-0.775).
- 确定了最佳的HRV截止值,这些参数显示出与AF的强烈关联 (ORs 5.34-7.70,p < 0.001),在添加到现有得分时显著提高了预测.
结论:
- 来自常规霍尔特心电图的特定HRV参数 (PNN50,rMSSD,SDSD) 改善了非心血管血栓性中风或高风险TIA后患者的AF风险预测.
- 这些HRV指标可能会指导针对AF检测的有针对性的监测策略.
- 将HRV分析纳入中风后评估可能会提高对AF风险患者的识别.
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