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青少年抑郁症的症状群及对治疗的不同反应:青少年抑郁症治疗研究随机试验的二次分析

Symptom clusters in adolescent depression and differential response to treatment: a secondary analysis of the Treatment for Adolescents with Depression Study randomised trial.

作者信息

Bondar Julia, Caye Arthur, Chekroud Adam M, Kieling Christian

机构信息

Department of Psychiatry, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Child & Adolescent Psychiatry Division, Hospital de Clínicas de Porto Alegre, Brazil, Porto Alegre, Brazil.

Spring Health, New York, NY, USA; Department of Psychiatry, Yale University, New Haven, CT, USA.

出版信息

Lancet Psychiatry. 2020 Apr;7(4):337-343. doi: 10.1016/S2215-0366(20)30060-2.

Abstract

BACKGROUND

Better understanding of the heterogeneity of treatment responses could help to improve care for adolescents with depression. We analysed data from a clinical trial to assess whether specific symptom clusters responded differently to various treatments.

METHODS

For this secondary analysis, we used data from the Treatment for Adolescents with Depression Study (TADS), in which 439 US adolescents aged 12-17 with a DSM-IV diagnosis of major depressive disorder and a minimum score of 45 on the Children's Depression Rating Scale-Revised (CDRS-R) were randomly assigned (1:1:1:1) to treatment with fluoxetine, cognitive behavioural therapy (CBT), fluoxetine plus CBT, or pill placebo. Our analysis focuses on the acute phase of the trial (ie, the first 12 weeks). Groups of co-occurring symptoms were established by clustering scores for each CDRS-R item at baseline with Ward's method, with Euclidean distances for hierarchical agglomerative clustering. We then used a linear mixed-effects model to investigate the relationship between symptom clusters and treatment efficacy, with the sum of symptom scores within each cluster as the dependent measure. As fixed effects, we entered cluster, time, and treatment assignment, with all two-way and three-way interactions, into the model. The random effect providing better fit was established to be a by-subject random slope for cluster based on improvement in the Schwarz-Bayesian information criterion.

OUTCOMES

We identified two symptom clusters: cluster 1 comprised depressed mood, difficulty having fun, irritability, social withdrawal, sleep disturbance, impaired schoolwork, excessive fatigue, and low self-esteem, and cluster 2 comprised increased appetite, physical complaints, excessive weeping, decreased appetite, excessive guilt, morbid ideation, and suicidal ideation. For cluster 1 symptoms, CDRS-R scores were reduced by 5·8 points (95% CI 2·8-8·9) in adolescents treated with fluoxetine plus CBT, and by 4·1 points (1·1-7·1) in those treated with fluoxetine, compared with those given placebo. For cluster 2 symptoms, no significant differences in improvements in CDRS-R scores were detected between the active treatment and placebo groups.

INTERPRETATION

Response to fluoxetine and CBT among adolescents with depression is heterogeneous. Clinicians should consider clinical profile when selecting therapeutic modality. The contrast in response patterns between symptom clusters could provide opportunities to improve treatment efficacy by gearing the development of new therapies towards the resolution of specific symptoms.

FUNDING

Conselho Nacional de Desenvolvimento Científico e Tecnológico.

摘要

背景

更好地理解治疗反应的异质性有助于改善对青少年抑郁症患者的护理。我们分析了一项临床试验的数据,以评估特定症状群对各种治疗的反应是否不同。

方法

在这项二次分析中,我们使用了青少年抑郁症治疗研究(TADS)的数据,该研究中,439名年龄在12至17岁、符合DSM-IV重度抑郁症诊断标准且儿童抑郁评定量表修订版(CDRS-R)最低得分为45分的美国青少年被随机分配(1:1:1:1)接受氟西汀、认知行为疗法(CBT)、氟西汀加CBT或安慰剂治疗。我们的分析集中在试验的急性期(即前12周)。通过使用沃德法对基线时每个CDRS-R项目的得分进行聚类,采用欧氏距离进行层次聚类,从而确定共现症状组。然后,我们使用线性混合效应模型来研究症状群与治疗效果之间的关系,将每个群内症状得分的总和作为因变量。作为固定效应,我们将群、时间和治疗分配以及所有双向和三向交互作用纳入模型。根据施瓦茨-贝叶斯信息准则的改进情况,确定提供更好拟合的随机效应为基于群的个体随机斜率。

结果

我们识别出两个症状群:群1包括情绪低落、难以获得乐趣、易怒、社交退缩、睡眠障碍、学业受损、过度疲劳和自卑,群2包括食欲增加、身体不适、过度哭泣、食欲减退、过度内疚、病态观念和自杀观念。对于群1症状,与接受安慰剂治疗的青少年相比,接受氟西汀加CBT治疗的青少年的CDRS-R得分降低了5.8分(95%CI 2.8-8.9),接受氟西汀治疗的青少年的CDRS-R得分降低了4.1分(1.1-7.1)。对于群2症状,在积极治疗组和安慰剂组之间未检测到CDRS-R得分改善的显著差异。

解读

青少年抑郁症患者对氟西汀和CBT的反应存在异质性。临床医生在选择治疗方式时应考虑临床特征。症状群之间反应模式的差异可能为通过针对特定症状的解决来开发新疗法以提高治疗效果提供机会。

资助

巴西国家科学技术发展委员会。

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