Longitudinal trajectories of symptom change during antidepressant treatment among managed care patients with depression and anxiety

Judith Cukor, Zhenxing Xu, Veer Vekaria, Fei Wang, Mark Olfson, Samprit Banerjee, Gregory Simon, George Alexopoulos, Jyotishman Pathak
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Abstract

Despite the high correlation between anxiety and depression, little remains known about the course of each condition when presenting concurrently. This study aimed to identify longitudinal patterns during antidepressant treatment in patients with depression and anxiety, and evaluate related factors associated with these patterns. By analyzing longitudinal self-report Patient Health Questionnaire-9 (PHQ-9) and General Anxiety Disorder-7 (GAD-7) scores that tracked courses of depression and anxiety over a three-month window among the 577 adult participants, six depression and six anxiety trajectory subgroups were computationally derived using group-based trajectory modeling. Three depression subgroups showed symptom improvement, while three showed nonresponses. Similar patterns were observed in the six anxiety subgroups. Multinomial regression was used to associate patient characteristics with trajectory subgroup membership. Compared to patients in the remission group, factors associated with depressive symptom nonresponse included older age and lower depression severity.

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管理式医疗抑郁症和焦虑症患者在抗抑郁治疗期间症状变化的纵向轨迹
尽管焦虑和抑郁之间存在高度相关性,但人们对这两种疾病同时出现时的病程仍然知之甚少。本研究旨在确定抑郁症和焦虑症患者在抗抑郁治疗期间的纵向模式,并评估与这些模式相关的因素。通过分析 577 名成年参与者的患者健康问卷-9(PHQ-9)和一般焦虑症-7(GAD-7)纵向自我报告得分,追踪抑郁和焦虑症患者在三个月时间内的治疗过程,利用基于群体的轨迹建模计算得出了六个抑郁和六个焦虑症轨迹亚组。三个抑郁亚组的症状有所改善,而三个亚组则无反应。在六个焦虑症分组中也观察到了类似的模式。多项式回归用于将患者特征与轨迹亚组成员联系起来。与缓解组患者相比,与抑郁症状无反应相关的因素包括年龄较大和抑郁严重程度较低。
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