Depressive Symptom Dimensions in Treatment-Resistant Major Depression and Their Modulation With Electroconvulsive Therapy.


Journal

The journal of ECT
ISSN: 1533-4112
Titre abrégé: J ECT
Pays: United States
ID NLM: 9808943

Informations de publication

Date de publication:
Jun 2020
Historique:
pubmed: 30 8 2019
medline: 28 5 2021
entrez: 30 8 2019
Statut: ppublish

Résumé

Symptom heterogeneity in major depressive disorder obscures diagnostic and treatment-responsive biomarker identification. Whether symptom constellations are differentially changed by electroconvulsive therapy (ECT) remains unknown. We investigate the clustering of depressive symptoms over the ECT index and whether ECT differentially influences symptom clusters. The 17-item Hamilton Depression Rating Scale (HDRS-17) was collected from 111 patients with current depressive episode before and after ECT from 4 independent participating sites of the Global ECT-MRI Research Collaboration. Exploratory factor analysis of HDRS-17 items pre- and post-ECT treatment identified depressive symptom dimensions before and after ECT. A 2-way analysis of covariance was used to determine whether baseline symptom clusters were differentially changed by ECT between treatment remitters (defined as patients with posttreatment HDRS-17 total score ≤8) and nonremitters while controlling for pulse width, titration method, concurrent antidepressant treatment, use of benzodiazepine, and demographic variables. A 3-factor solution grouped pretreatment HDRS-17 items into core mood/anhedonia, somatic, and insomnia dimensions. A 2-factor solution best described the symptoms at posttreatment despite poorer separation of items. Among remitters, core mood/anhedonia symptoms were significantly more reduced than somatic and insomnia dimensions. No differences in symptom dimension trajectories were observed among nonremitting patients. Electroconvulsive therapy targets the underlying source of depressive symptomatology and may confer differential degrees of improvement in certain core depressive symptoms. Our findings of differential trajectories of symptom clusters over the ECT index might help related predictive biomarker studies to refine their approaches by identifying predictors of change along each latent symptom dimension.

Identifiants

pubmed: 31464814
doi: 10.1097/YCT.0000000000000623
pmc: PMC7044066
mid: NIHMS1534476
pii: 00124509-202006000-00010
doi:

Substances chimiques

Antidepressive Agents 0
Benzodiazepines 12794-10-4

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

123-129

Subventions

Organisme : NIMH NIH HHS
ID : K24 MH102743
Pays : United States
Organisme : NIGMS NIH HHS
ID : P20 GM103472
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH092301
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH110008
Pays : United States

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Auteurs

Benjamin S C Wade (BSC)

From the Department of Neurology, University of California Los Angles (UCLA), Ahmanson-Lovelace Brain Mapping Center.

Gerhard Hellemann (G)

Department of Psychiatry and Biobehavioral Sciences, Semel Institute.

Randall T Espinoza (RT)

Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA.

Shantanu H Joshi (SH)

From the Department of Neurology, University of California Los Angles (UCLA), Ahmanson-Lovelace Brain Mapping Center.

Ronny Redlich (R)

Department of Psychiatry, University of Münster, Münster, Germany.

Anders Jørgensen (A)

Psychiatric Center Copenhagen, Copenhagen, Denmark.

Christopher C Abbott (CC)

Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM.

Ketil J Oedegaard (KJ)

Department of Clinical Medicine, University of Bergen, Bergen, Norway.

Shawn M McClintock (SM)

Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX.

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Classifications MeSH