Related Experiment Video
Updated: Sep 14, 2025

MRI-guided dmPFC-rTMS as a Treatment for Treatment-resistant Major Depressive Disorder
Published on: August 11, 2015
Depression severity self-assessment to guide relapse potential stratification during maintenance ECT
Liselotte Gezels1, Linda Van Diermen2, Violette Coppens1
1Scientific Initiative for Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Centre Duffel, Duffel, Belgium; Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
Abstract:
The severity of major depressive disorder (MDD) is crucial in guiding treatment decisions for electroconvulsive therapy (ECT), particularly given the high relapse rates post-ECT. Maintenance-ECT (M-ECT) has emerged as a key strategy to prevent relapse, with recent trends favouring symptom-driven approaches. This study explores the use of self-report scales as an adjunct to clinician-rated assessments in M-ECT decision-making, focusing on the Clinician-Rated 30-item Inventory of Depressive Symptomatology (IDS-C) and its self-report version (IDS-SR). In the Preventing Relapse After Successful ECT for Depression (PRASED) study, a subsample of 96 MDD patients were included upon achieving remission after an acute ECT course. Patients were stratified into relapse potential categories based on weekly IDS-C scores, determining the need for zero, one, or two M-ECT sessions the following week. Using five monthly IDS-C and -SR, the scales demonstrated good to excellent agreement, with intraclass correlation coefficients ranging from 0.73 to 0.85 at multiple timepoints during M-ECT. Notably, 81 % of decision-making outcomes were concordant. Also, 16 % would result in patients receiving more ECT sessions based on the IDS-SR than the IDS-C, highlighting some overestimation by self-report scores. These findings indicate that self-assessment of depression severity by IDS-SR is a reliable alternative for clinician-rated measurements during M-ECT. Hence, this reduction of resource burden by self-report could facilitate the widespread implementation of personalised M-ECT, which may improve patient outcomes by reducing relapse rates in MDD. Future research should focus on validating self-report measures as reliable alternatives to clinician assessments in M-ECT to optimize treatment personalization and efficiency.
Related Concept Videos
Electroconvulsive Therapy
Depression: Overview
Depressive Disorders: Etiology
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
Depressive Disorders: MDD and Dysthymia
Psychosis: Goals of Pharmacotherapy
Long-term Depression

