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Predictors of Electroconvulsive Therapy Outcome in Major Depressive Disorder

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 t...

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Autores principales: Su, Liang, Zhang, Yi, Jia, Yuping, Sun, Junfeng, Mellor, David, Yuan, Ti-Fei, Xu, Yifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850656/
https://www.ncbi.nlm.nih.gov/pubmed/36190694
http://dx.doi.org/10.1093/ijnp/pyac070
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author Su, Liang
Zhang, Yi
Jia, Yuping
Sun, Junfeng
Mellor, David
Yuan, Ti-Fei
Xu, Yifeng
author_facet Su, Liang
Zhang, Yi
Jia, Yuping
Sun, Junfeng
Mellor, David
Yuan, Ti-Fei
Xu, Yifeng
author_sort Su, Liang
collection PubMed
description 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.
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spelling pubmed-98506562023-01-20 Predictors of Electroconvulsive Therapy Outcome in Major Depressive Disorder Su, Liang Zhang, Yi Jia, Yuping Sun, Junfeng Mellor, David Yuan, Ti-Fei Xu, Yifeng Int J Neuropsychopharmacol Regular Research Articles 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. Oxford University Press 2022-10-03 /pmc/articles/PMC9850656/ /pubmed/36190694 http://dx.doi.org/10.1093/ijnp/pyac070 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of CINP. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Regular Research Articles
Su, Liang
Zhang, Yi
Jia, Yuping
Sun, Junfeng
Mellor, David
Yuan, Ti-Fei
Xu, Yifeng
Predictors of Electroconvulsive Therapy Outcome in Major Depressive Disorder
title Predictors of Electroconvulsive Therapy Outcome in Major Depressive Disorder
title_full Predictors of Electroconvulsive Therapy Outcome in Major Depressive Disorder
title_fullStr Predictors of Electroconvulsive Therapy Outcome in Major Depressive Disorder
title_full_unstemmed Predictors of Electroconvulsive Therapy Outcome in Major Depressive Disorder
title_short Predictors of Electroconvulsive Therapy Outcome in Major Depressive Disorder
title_sort predictors of electroconvulsive therapy outcome in major depressive disorder
topic Regular Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850656/
https://www.ncbi.nlm.nih.gov/pubmed/36190694
http://dx.doi.org/10.1093/ijnp/pyac070
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