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度洛西汀和阿立哌唑辅助治疗对伴发抑郁障碍患者生活质量改善的预测因素:CAN-BIND 研究报告。

Predictors of Quality of Life Improvement with Escitalopram and Adjunctive Aripiprazole in Patients with Major Depressive Disorder: A CAN-BIND Study Report.

机构信息

Department of Psychiatry, University of British Columbia, 5950 Wesbrook Mall, Vancouver, BC, V6T 2A1, Canada.

Department of Psychiatry, University of Toronto, Toronto, ON, Canada.

出版信息

CNS Drugs. 2021 Apr;35(4):439-450. doi: 10.1007/s40263-021-00803-2. Epub 2021 Apr 16.

Abstract

BACKGROUND

Non-response to first-line treatment for major depressive disorder (MDD) is common; for such individuals, quality of life (QoL) impairments can be severe. Identifying predictors of QoL changes may support the management of cases with persistent depressive symptoms despite adequate initial pharmacological/psychological treatment.

OBJECTIVE

The present study aimed to explore predictors of domain-specific QoL improvement following adjunctive aripiprazole treatment for inadequate response to initial antidepressant therapy.

METHODS

We evaluated secondary QoL outcomes from a CAN-BIND (Canadian Biomarker Integration Network in Depression) study in patients with MDD who did not respond to an initial 8 weeks of escitalopram and received a further 8 weeks of adjunctive aripiprazole (n = 96). Physical, psychological, social, and environmental QoL domains were assessed using the World Health Organization QoL Scale Brief Version (WHOQOL-BREF). Clinician-rated depressive symptoms were assessed using the Montgomery-Åsberg Depression Rating Scale (MADRS). Functioning was measured with the Sheehan Disability Scale (SDS). Satisfaction with medication was assessed with a single item from the Quality of Life Enjoyment and Satisfaction Questionnaire Short Form (Q-LES-Q-SF). Exploratory t-tests were used to describe domain score changes. A hierarchical linear regression was used to explore demographic, clinical, and treatment-related predictors of improvement.

RESULTS

Across domains, QoL improved with adjunctive aripiprazole treatment. Satisfaction with medication and MADRS and SDS scores similarly improved. Symptom reduction was a predictor for positive change to physical and psychological QoL; functioning improvements were predictive of increases to all QoL domains. Satisfaction with medication predicted improvements to physical and psychological domains, whereas number of medication trials was a predictor of worsening QoL in the physical domain.

CONCLUSION

The final model explained the most variance in psychological (68%) and physical (67%) QoL. Less variance was explained for environmental (43%) and social QoL (33%), highlighting a need for further exploration of predictors in these domains. Strategies such as functional remediation may have potential to support QoL for individuals with persistent depressive symptoms.

CLINICAL TRIALS REGISTRY

ClinicalTrials.gov identifier: NCT016557.

摘要

背景

对于一线治疗重度抑郁症(MDD)没有反应的患者很常见;对于这些个体,生活质量(QoL)受损可能很严重。识别 QoL 变化的预测因素可能有助于管理尽管初始药物/心理治疗充分但仍持续出现抑郁症状的病例。

目的

本研究旨在探讨阿立哌唑辅助治疗初始抗抑郁治疗反应不足的患者的特定领域 QoL 改善的预测因素。

方法

我们评估了 MDD 患者的 CAN-BIND(加拿大抑郁症生物标志物整合网络)研究中的次要 QoL 结果,这些患者对初始 8 周的依西酞普兰治疗无反应,并接受了进一步的 8 周阿立哌唑辅助治疗(n=96)。使用世界卫生组织生活质量量表简表(WHOQOL-BREF)评估身体、心理、社会和环境 QoL 领域。使用蒙哥马利-阿斯伯格抑郁评定量表(MADRS)评估临床医生评定的抑郁症状。使用 Sheehan 残疾量表(SDS)测量功能。使用生活质量享受和满意度问卷短表(Q-LES-Q-SF)的一个单项评估药物满意度。使用探索性 t 检验描述域评分变化。使用分层线性回归探讨人口统计学、临床和治疗相关因素对改善的预测作用。

结果

在各个领域,阿立哌唑辅助治疗可改善 QoL。药物满意度和 MADRS 及 SDS 评分同样改善。症状缓解是身体和心理 QoL 改善的预测因素;功能改善是所有 QoL 领域增加的预测因素。药物满意度预测身体和心理领域的改善,而药物试验次数是身体领域 QoL 恶化的预测因素。

结论

最终模型解释了心理(68%)和身体(67%)QoL 的最大方差。环境(43%)和社会 QoL(33%)的解释方差较小,突出了需要进一步探索这些领域的预测因素。例如功能康复等策略可能对改善持续出现抑郁症状的个体的 QoL 有帮助。

临床试验注册

ClinicalTrials.gov 标识符:NCT016557。

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