对心率变化的临床价值在预测血管综合症的评估
Yueerguli Yusufuaji1, Baopeng Tang2,3, Li Men1
1Department of Heart Function, First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Frontiers in cardiovascular medicine
|February 6, 2026
概括
心率变化 (HRV) 参数与血管 (VVS) 的发生有关. HRV可能有助于查,风险分层和对VVS患者的分类,为自主调节评估提供非侵入性生物标志物.
科学领域:
- 心脏病学 心脏病学
- 自主神经科学 自主神经科学
- 医学诊断 医学诊断 医学诊断
背景情况:
- 血管 (VVS) 是最常见的反射,通常是良性的,但可能导致伤害和降低生活质量.
- 自主神经系统失衡是VVS的主要原因.
- 心率变化 (HRV) 是自主调节的非侵入性标志物,有可能用于VVS识别,尽管其预测价值尚未完全理解.
研究的目的:
- 调查HRV参数与VVS发生之间的关联.
- 评估HRV在识别VVS中的预测能力.
- 探索HRV作为VVS生物标志物的实用性.
主要方法:
- 一个单一中心的回顾性病例控制研究包括415名患有昏迷症状的患者,接受了24小时的霍尔特监测和头向上倾斜测试 (HUTT).
- 根据HUTT结果,患者被分为VVS阳性 (n=279) 和对照 (n=136) 组.
- 使用后勤回归和ROC分析分析了HRV参数 (平均,最大,最小HRs,SDNN,TI,rMSSD,pNN50).
主要成果:
- 几个HRV参数,包括24小时平均,最大和最小心率,SDNN,TI,rMSSD和pNN50,独立地与VVS发生相关 (P <0.013).
- 接收机运行特征 (ROC) 分析表明VVS的24小时平均HRs (AUC:0.688),24小时最大HRs (AUC:0.652) 和SDNN (AUC:0.614) 的中度预测能力.
结论:
- HRV参数表明与VVS的发生有显著的关联.
- 作为一种非侵入性和持续性的生理生物标志物,HRV显示出临床查,风险分层和VVS患者的表型分类的潜力.
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