在中风患者中全面评估自主神经系统:心率变化作为恢复预测的基石
Markiian Chornyi1, Viktoriia Gryb1
1Department of Neurology and Neurosurgery, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine.
Frontiers in neurology
|January 28, 2026
概括
使用心率变化 (HRV) 和其他标志物的自主神经系统 (ANS) 功能障碍监测可以改善中风预后. 多模式ANS评估,包括血压变化和瞳孔测量,提供了增强的风险分层和临床实施潜力.
科学领域:
- 神经学 神经学
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
背景情况:
- 自主神经系统 (ANS) 功能障碍显著影响中风的结果.
- 标准化的自主监测在临床实践中未得到充分利用.
- 心率变化 (HRV) 是一个关键的预后标志物,其补充是血压变化 (BPV) 和瞳孔测量.
研究的目的:
- 综合关于中风患者多模式ANS评估的证据,重点关注HRV.
- 为ANS监测的临床实施提供实际建议.
主要方法:
- 进行了对同行评审研究 (2018-2024) 的叙事审查.
- 专注于中风患者的HRV和补充ANS模式.
- 包括53项研究,强调技术支持的调查和最近的前性队列 (2022-2024年).
主要成果:
- 时间域HRV指标 (SDNN,RMSSD) 预测功能结果和并发症.
- 与单独HRV相比, Beat-to-beatBPV改善了中风后的短期预后.
- 自动瞳孔测量预测狂妄;与HRV集成提高预后准确性.
- 消费者可穿戴设备显示出与远程监控ECG标准的高度一致.
结论:
- 以HRV为中心的多模式ANS评估为中风提供了强大的,非侵入性的预后工具.
- 与BPV,瞳孔测量和可穿戴设备的整合增强了风险分层.
- 标准化的协议和技术的采用可以改变全球中风的结果.
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