Predictors of Electroconvulsive Therapy Outcome in Major Depressive Disorder

Author:

Su Liang12,Zhang Yi34,Jia Yuping1,Sun Junfeng4ORCID,Mellor David15,Yuan Ti-Fei3,Xu Yifeng13

Affiliation:

1. Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai , China

2. Department of Psychiatry, Huashan Hospital, Fudan University School of Medicine, Shanghai , China

3. Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai , China

4. School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai , China

5. School of Psychology, Deakin University, Melbourne , Australia

Abstract

Abstract Background Electroconvulsive therapy (ECT) is an effective therapy for major depressive disorder (MDD) patients. However, few clinical predictors are available to predict the treatment outcome. This study aimed to characterize the response trajectories of MDD patients undergoing ECT treatment and to identify potential clinical and demographic predictors for clinical improvement. Methods We performed a secondary analysis on data from a multicenter, randomized, blinded, controlled trial with 3 ECT modalities (bifrontal, bitemporal, unilateral). The sample consisted of 239 patients whose demographic and clinical characteristics were investigated as predictors of ECT outcomes. Results The results of growth mixture modeling suggested there were 3 groups of MDD patients: a non-remit group (n = 17, 7.11%), a slow-response group (n = 182, 76.15%), and a rapid-response group (n = 40, 16.74%). Significant differences in age, education years, treatment protocol, types of medication used, Hamilton Depression Scale, Hamilton Anxiety Scale score, Mini-Mental State Examination score, and Clinical Global Impression score at baseline were observed across the groups. Conclusions MDD patients exhibited distinct and clinically relevant response trajectories to ECT. The MDD patients with more severe depression at baseline are associated with a rapid response trajectory. In contrast, MDD patients with severe symptoms and older age are related to a less response trajectory. These clinical predictors may help guide treatment selection.

Funder

Shanghai Hospital Development Center

Shanghai Key Laboratory of Psychotic Disorders

Shanghai Municipal Health and Family Planning Commission

Publisher

Oxford University Press (OUP)

Subject

Pharmacology (medical),Psychiatry and Mental health,Pharmacology

Reference20 articles.

1. ECT beyond unipolar major depression: systematic review and meta-analysis of electroconvulsive therapy in bipolar depression.;Bahji;Acta Psychiatr Scand,2019

2. The course of depressive symptoms in unipolar depressive disorder during electroconvulsive therapy: a latent class analysis;Cinar;J Affect Disord,2010

3. Is electroconvulsive therapy effective for the depressed patient with comorbid borderline personality disorder?;DeBattista;J ECT,2001

4. Response of depression to electroconvulsive therapy: a meta-analysis of clinical predictors;Haq;J Clin Psychiatry,2015

5. Plasma noradrenaline response to electroconvulsive therapy in depressive illness.;Kelly;Br J Psychiatry,1997

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