Longitudinal Clusters of Long-Term Trajectories in Patients with Early-Onset Chronic Depression: 2 Years of Naturalistic Follow-Up after Extensive Psychological Treatment.

IF 16.3 1区 医学 Q1 PSYCHIATRY Psychotherapy and Psychosomatics Pub Date : 2024-01-01 Epub Date: 2023-12-28 DOI:10.1159/000535005
Moritz Elsaesser, Bernd Feige, Levente Kriston, Lea Schumacher, Jasmin Peifer, Martin Hautzinger, Martin Härter, Elisabeth Schramm
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Abstract

Introduction: In clinical trials, mostly group-level treatment effects of repeated cross-sectional measures are analyzed. However, substantial heterogeneity regarding individual symptom profiles and the variability of treatment effects are often neglected, especially over the long-term course. To provide effective personalized treatments, investigations of these characteristics are urgently needed.

Methods: Depression severity ratings over 104 weeks of follow-up after year-long treatment with the Cognitive Behavioral Analysis System of Psychotherapy (CBASP) or Supportive Psychotherapy (SP) were analyzed. Longitudinal cluster analysis and multinomial logistic regression analysis were conducted to investigate intraindividual trajectories from one of the largest psychotherapy trials in early-onset chronic depression.

Results: Two-year post-study-treatment trajectories of N = 188 patients with early-onset chronic depression were grouped into four prototypical clusters. Overall, 16.0% of patients remitted (cluster 1) and most of them did not receive any treatment during the 2-year follow-up. However, 84.0% of patients continued to experience subthreshold (37.2% cluster 2) or major depressive symptoms (46.8% clusters 3-4) and spent on average more than half of the follow-up in pharmacological and psychological treatment. Hierarchical regression analysis indicated that previous study treatment with CBASP or SP did not significantly predict cluster allocation, while baseline variables accounted for a large proportion of explained variance (R2 N = 0.64).

Conclusion: While some patients experienced stable remission over 2 years of follow-up, the majority of patients experienced subthreshold or major depressive symptoms regardless of former study treatment with CBASP or SP. This calls for a long-term perspective implementing staging and innovative treatment approaches such as the sequential model or modular psychotherapy.

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早发慢性抑郁症患者的长期轨迹纵向集群:广泛心理治疗后两年的自然随访。
简介在临床试验中,分析的大多是重复横断面测量的组级治疗效果。然而,个体症状特征的实质性异质性和治疗效果的可变性往往被忽视,尤其是在长期病程中。为了提供有效的个性化治疗,迫切需要对这些特征进行研究:方法:对认知行为分析系统心理疗法(CBASP)或支持性心理疗法(SP)治疗一年后,随访104周的抑郁严重程度评分进行分析。通过纵向聚类分析和多项式逻辑回归分析,研究了早发性慢性抑郁症最大心理疗法试验之一的个体内部轨迹:N = 188 名早发慢性抑郁症患者的两年治疗后轨迹被分为四个原型群组。总体而言,16.0%的患者病情得到缓解(第 1 组),其中大部分患者在两年随访期间没有接受任何治疗。然而,84.0%的患者仍有阈下抑郁症状(第 2 组,37.2%)或重度抑郁症状(第 3-4 组,46.8%),平均一半以上的随访时间用于药物和心理治疗。分层回归分析表明,之前接受过CBASP或SP治疗的研究并不能显著预测群组分配,而基线变量占解释变异的很大比例(R2 N = 0.64):结论:虽然一些患者在两年的随访中病情得到稳定缓解,但无论之前是否接受过CBASP或SP的研究治疗,大多数患者都会出现阈值以下或重度抑郁症状。这就需要从长远角度出发,实施分期和创新治疗方法,如序贯模式或模块化心理疗法。
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来源期刊
Psychotherapy and Psychosomatics
Psychotherapy and Psychosomatics 医学-精神病学
CiteScore
29.40
自引率
6.10%
发文量
46
期刊介绍: Psychotherapy and Psychosomatics is a reputable journal that has been published since 1953. Over the years, it has gained recognition for its independence, originality, and methodological rigor. The journal has been at the forefront of research in psychosomatic medicine, psychotherapy research, and psychopharmacology, and has contributed to the development of new lines of research in these areas. It is now ranked among the world's most cited journals in the field. As the official journal of the International College of Psychosomatic Medicine and the World Federation for Psychotherapy, Psychotherapy and Psychosomatics serves as a platform for discussing current and controversial issues and showcasing innovations in assessment and treatment. It offers a unique forum for cutting-edge thinking at the intersection of medical and behavioral sciences, catering to both practicing clinicians and researchers. The journal is indexed in various databases and platforms such as PubMed, MEDLINE, Web of Science, Science Citation Index, Social Sciences Citation Index, Science Citation Index Expanded, BIOSIS Previews, Google Scholar, Academic Search, and Health Research Premium Collection, among others.
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