预测使用心脏复杂性的抑郁症复发在逐渐减少抗抑郁药物的个体
Sandip V George1,2, Yoram K Kunkels3, Arnout Smit3
1Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. s.v.george@rug.nl.
Translational psychiatry
|May 30, 2023
概括
通过心率变化来衡量心脏复杂性,可以预测抑郁症复发. 在服用抗抑郁药的人中,心率变异性的降低表明抑郁症复发的风险更高.
科学领域:
- 心脏病学 心脏病学
- 精神病学是一种精神病学.
- 数字化表型化是指数字化表型化.
背景情况:
- 心脏动力学复杂性和抑郁症复发之间的关系尚未得到充分理解.
- 在逐渐减少抗抑郁药时预测抑郁复发是临床上有意义的.
研究的目的:
- 调查心脏动力学复杂性是否预测未来的抑郁症.
- 为了确定心脏动态的内部变化是否在抑郁症复发之前.
主要方法:
- 采用了一种重复的单个受试者研究设计.
- 电心电图 (ECG) 衍生的间拍间隔 (IBI) 时间序列数据从50名服用抗抑郁药物的个人中收集.
- 分析包括IBI的平均值,标准偏差,希古奇维度和多尺度.
主要成果:
- 在抑郁症症状增加之前,心脏动态没有一致的个体内趋势.
- 心脏动态的低基线多尺度 (心率变化) 预测了抑郁症复发.
- 经历抑郁过渡的个体显示出更高的IBI和Higuchi维度的平均值.
结论:
- 心脏动力学复杂性,特别是较低的,可以作为一个数字表型,用于在抗抑郁药逐渐减少期间评估短期抑郁复发风险.
- 虽然没有提供早期预警信号,但基线心脏水平区分了患复发风险的个体.
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