在患有恐慌障碍的患者中,对社会回避和痛苦进行了倾向得分调整的HRV分析
Joonbeom Kim1,2, Jinsil Ham1,3, Jooyoung Oh1,4
1Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Psychophysiology
|December 10, 2024
概括
患有恐慌症和严重社会回避和痛苦 (SAD) 的患者表现出心率变化率 (HRV) 降低,特别是在时间域测量方面. 这一发现可能有助于个性化恐慌失调治疗.
科学领域:
- 精神病学是一个精神病学.
- 心脏病学 心脏病学
- 神经科学是一个神经科学.
背景情况:
- 恐慌症 (PD) 经常与社会回避和焦虑症 (SAD) 一起发生.
- 在PD患者中增加的SAD与较差的治疗结果有关.
- 心率变化 (HRV) 是自我调节能力的生理标志物,可能反映了SAD.
研究的目的:
- 为了调查HRV是否在患有恐慌障碍 (PD) 和严重社会回避和痛苦 (SAD) 的患者之间不同,与患有PD但没有SAD的患者相比.
- 探索HRV在识别PD中的异质性的实用性.
- 为PD提供个性化治疗策略的信息.
主要方法:
- 分析了288名患有PD的患者队列.
- 患者被分为PD与严重的SAD (PD-SAD) 和PD没有SAD组.
- 逆治疗概率权重 (IPTW) 用于组平衡,其次是逆倾向权重与回归调整 (IPW-RA) 用于分析.
主要成果:
- 在IPTW调整后,基线特征在各组之间是可比的.
- 在PD-SAD组,时间域参数 (平均心率,SDNN,RMSSD,pNN50) 和非线性域 (SD1) 的 HRV 趋势较低.
- 两组之间没有观察到频率域HRV参数的显著差异.
结论:
- 在PD中较高的SAD水平与时间域HRV的减少有关.
- 这些发现表明,减少HRV,特别是在时间领域,可能反映了PD与SAD的自我调节缺陷背后的共享神经机制.
- 时间域HRV分析可能比频域分析更有效地识别PD异质性,特别是考虑到潜在的呼吸系统异常.
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