Electroconvulsive therapy response in late-life depression unaffected by age-related brain changes.


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
15 05 2019
Historique:
received: 01 11 2018
revised: 25 02 2019
accepted: 19 03 2019
pubmed: 29 3 2019
medline: 13 7 2019
entrez: 29 3 2019
Statut: ppublish

Résumé

Gray matter volume decrease, white matter vascular pathology and amyloid accumulation are age-related brain changes that have been related to the pathogenesis of late life depression (LLD). Furthermore, lower hippocampal volume and more white matter hyperintensities (WMH) may contribute to poor response to electroconvulsive therapy (ECT) in severely depressed older adults. We hypothesized that the accumulation of age-related brain changes negatively affects outcome following ECT in LLD. 34 elderly patients with severe LLD were treated twice weekly with ECT until remission. All had both 3T structural magnetic resonance imaging (MRI) and β-amyloid positron emission tomography (PET) imaging using 18F-flutemetamol at baseline. MADRS and MMSE were obtained weekly which included 1 week prior to ECT (T0), after the sixth ECT (T1), and one week (T2) after the last ECT as well as at four weeks (T3) and 6 months (T4) after the last ECT. We conducted a multiple logistic regression analysis and a survival analysis with neuroimaging measures as predictors, and response, remission and relapse as outcome variable. We did not find any association between baseline hippocampal volume, white matter hyperintensity volume and total amyloid load and response or remission at 1 and 4 weeks post ECT, nor with relapse at week 4. The present exploratory study was conducted at a single center academic hospital, the sample size was small, the focus was on hippocampal volume and the predictive effect of structural and molecular changes associated with aging were used. Our study shows no evidence of relationship between response to ECT and age-related structural or molecular brain changes, implying that ECT can be applied effectively in depressed patients irrespective of accumulating age-related brain changes.

Sections du résumé

BACKGROUND
Gray matter volume decrease, white matter vascular pathology and amyloid accumulation are age-related brain changes that have been related to the pathogenesis of late life depression (LLD). Furthermore, lower hippocampal volume and more white matter hyperintensities (WMH) may contribute to poor response to electroconvulsive therapy (ECT) in severely depressed older adults. We hypothesized that the accumulation of age-related brain changes negatively affects outcome following ECT in LLD.
METHODS
34 elderly patients with severe LLD were treated twice weekly with ECT until remission. All had both 3T structural magnetic resonance imaging (MRI) and β-amyloid positron emission tomography (PET) imaging using 18F-flutemetamol at baseline. MADRS and MMSE were obtained weekly which included 1 week prior to ECT (T0), after the sixth ECT (T1), and one week (T2) after the last ECT as well as at four weeks (T3) and 6 months (T4) after the last ECT. We conducted a multiple logistic regression analysis and a survival analysis with neuroimaging measures as predictors, and response, remission and relapse as outcome variable.
RESULTS
We did not find any association between baseline hippocampal volume, white matter hyperintensity volume and total amyloid load and response or remission at 1 and 4 weeks post ECT, nor with relapse at week 4.
LIMITATIONS
The present exploratory study was conducted at a single center academic hospital, the sample size was small, the focus was on hippocampal volume and the predictive effect of structural and molecular changes associated with aging were used.
CONCLUSIONS
Our study shows no evidence of relationship between response to ECT and age-related structural or molecular brain changes, implying that ECT can be applied effectively in depressed patients irrespective of accumulating age-related brain changes.

Identifiants

pubmed: 30921594
pii: S0165-0327(18)32797-6
doi: 10.1016/j.jad.2019.03.055
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

114-120

Informations de copyright

Copyright © 2019. Published by Elsevier B.V.

Auteurs

Filip Bouckaert (F)

KU Leuven, University Psychiatric Center KU Leuven, Department of Old Age Psychiatry, Herestraat 49, 3000 Leuven / Leuvensesteenweg 517, 3070 Kortenberg, Belgium. Electronic address: filip.bouckaert@upckuleuven.be.

Louise Emsell (L)

KU Leuven, University Psychiatric Center KU Leuven, Department of Old Age Psychiatry, Herestraat 49, 3000 Leuven / Leuvensesteenweg 517, 3070 Kortenberg, Belgium; Translational MRI, Department of Imaging and Pathology, KU Leuven, Radiology, University Hospitals Leuven, and University Psychiatric Center KU Leuven, Belgium.

Kristof Vansteelandt (K)

KU Leuven, University Psychiatric Center KU Leuven, Department of Statistics, Herestraat 49, 3000 Leuven / Leuvensesteenweg 517, 3070 Kortenberg, Belgium.

François-Laurent De Winter (FL)

KU Leuven, University Psychiatric Center KU Leuven, Department of Old Age Psychiatry, Herestraat 49, 3000 Leuven / Leuvensesteenweg 517, 3070 Kortenberg, Belgium.

Jan Van den Stock (J)

KU Leuven, University Psychiatric Center KU Leuven, Department of Old Age Psychiatry, Herestraat 49, 3000 Leuven / Leuvensesteenweg 517, 3070 Kortenberg, Belgium.

Jasmien Obbels (J)

KU Leuven, University Psychiatric Center KU Leuven, Academic Center for ECT and Neuromodulation (AcCENT), Leuvensesteenweg 517, 3070 Kortenberg, Belgium.

Annemieke Dols (A)

Department of Psychiatry and the EMGO+ Institute for Health and Care Research, VU University Medical Center Amsterdam, the Netherlands.

Max Stek (M)

Department of Psychiatry and the EMGO+ Institute for Health and Care Research, VU University Medical Center Amsterdam, the Netherlands.

Katarzyna Adamczuk (K)

Laboratory of Cognitive Neurology, KU Leuven, Belgium.

Stefan Sunaert (S)

Translational MRI, Department of Imaging and Pathology, KU Leuven, Radiology, University Hospitals Leuven, and University Psychiatric Center KU Leuven, Belgium.

Koen Van Laere (K)

Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven and University Hospitals Leuven, Belgium.

Pascal Sienaert (P)

KU Leuven, University Psychiatric Center KU Leuven, Academic Center for ECT and Neuromodulation (AcCENT), Leuvensesteenweg 517, 3070 Kortenberg, Belgium.

Mathieu Vandenbulcke (M)

KU Leuven, University Psychiatric Center KU Leuven, Department of Old Age Psychiatry, Herestraat 49, 3000 Leuven / Leuvensesteenweg 517, 3070 Kortenberg, Belgium.

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