心率和自主生物标志物区分了性与功能性或离散性发作
Justin M Ryan1, Kyle T Wagner1, Sushma Yerram2
1Department of Pharmacology, SUNY Upstate Medical University, Syracuse, NY 13210, United States.
Seizure
|September 3, 2023
概括
心率变化 (HRV) 的测量可以区分发作 (ES) 和功能性或离散性发作 (FDS). 这种自主功能分析为区分这些发作类型,特别是发作事件提供了新的诊断工具.
科学领域:
- 神经科学是一个神经科学.
- 心脏病学 心脏病学
- 自主神经系统研究 自主神经系统研究
背景情况:
- 患有不受控制的发作的人中有很大一部分经历了类似发作 (ES) 的事件,但缺乏EEG相关物,称为功能性或离散性发作 (FDS).
- 目前用于区分ES和FDS的诊断方法,如EEG监测,具有包括可访问性和不确定的结果在内的局限性.
研究的目的:
- 开发和评估一种替代诊断工具,以区分发作 (ES) 和功能性或离散性发作 (FDS).
- 评估基于心电图 (ECG) 的心率变化 (HRV) 测量自主功能的时间演变,以区分ES与FDS.
主要方法:
- 一项前性研究,涉及18-65岁的患者,他们被录入监测单元,但不包括那些治疗或影响自主功能的并发症患者.
- 记录了习惯性ES或FDS事件,在心率 (HR) 和HRV分析期间进行了心跳周期 (心跳前后150分钟).
- 统计分析确定自主测量是否可以区分ES和FDS,按和非事件分层.
主要成果:
- 在ES和FDS之间,HR和自主功能的时间变化显著不同.
- 发作后的HR,总自主功能 (SDNN,总功率),阴道功能 (RMSSD,HF) 和巴罗反射功能 (LF) 区分了性ES和性FDS.
- 结合HR变化和点击后HR的模型显示,对于性ES与FDS,诊断准确度高 (92%的灵敏度,94%的特异性,ROC为0.99).
结论:
- 心率和HRV的测量有效地区分了性发作与性功能性或离散性发作.
- 非性事件的诊断准确性较低,表明需要进一步研究.
- 这些发现为利用HRV作为不同人群和医院外环境中的非侵入性诊断工具提供了一个框架.
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