估计横截面网络连接对抑郁症治疗反应的预后价值
Chi Tak Lee1,2,3, Sean W Kelley1,2,3, Jorge Palacios1
1Department of Psychology, Trinity College Dublin, Dublin, Ireland.
Psychological medicine
|June 7, 2023
概括
症状网络连接与抑郁症治疗耐药性有关. 然而,基线症状得分差异,而不是连接性,似乎是治疗反应的主要预测因素.
科学领域:
- 精神病学和心理健康 精神病学和心理健康
- 网络科学 网络科学
- 临床心理学 临床心理学
背景情况:
- 紧密连接的症状网络与抑郁症治疗阻力有关.
- 以前的研究经常使用小样本,限制了概括性.
- 这项研究调查了基线网络连接在大量患者队列中的预后价值.
研究的目的:
- 为了估计基线网络连接和抑郁症治疗响应在一个大,现实世界的样本之间的关联.
- 将网络连接的预后值与基线症状严重程度和差异进行比较.
- 了解症状网络结构在预测治疗结果中的作用.
主要方法:
- 在英格兰 (2015-2020年) 的常规护理中接受抑郁症治疗的40518名患者的分析.
- 使用患者健康问卷-9 (PHQ-9) 构建横截面症状网络.
- 对160个子样本 (n=250) 的参数分析,以评估PHQ-9分数的连接性,平均值和差异.
主要成果:
- 非响应者网络显示出比响应者更高的连接能力 (3.15对2.70).
- 两个PHQ-9总得分平均值 (β = -1.79) 和差异 (β = -1.67) 都是响应的更强的预测因素,而不是连接 (β = -1.35).
- 连接性和治疗响应之间的关联在PHQ-9得分变异被控制为 (β = -0.28) 时减少.
结论:
- 基线症状网络连接与抑郁症治疗反应的关联在很大程度上是由基线症状得分差异的差异解释的.
- 症状严重程度和变异性比网络连接更为关键的治疗反应预测因素.
- 研究结果表明,专注于基线症状特征可能会改善治疗结果的预测.
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