Literature DB >> 31382133

Can psychomotor disturbance predict ect outcome in depression?

Linda van Diermen1, Simon Vanmarcke2, Sebastian Walther3, Herman Moens4, Eveline Veltman5, Erik Fransen6, Bernard Sabbe2, Roos van der Mast7, Tom Birkenhäger8, Didier Schrijvers2.   

Abstract

Psychomotor symptoms are core features of melancholic depression. This study investigates whether psychomotor disturbance predicts the outcome of electroconvulsive therapy (ECT) and how the treatment modulates psychomotor disturbance. In 73 adults suffering from major depressive disorder psychomotor functioning was evaluated before, during and after ECT using the observer-rated CORE measure and objective measures including accelerometry and a drawing task. Regression models were fitted to assess the predictive value of melancholic depression (CORE ≥ 8) and the psychomotor variables on ECT outcome, while effects on psychomotor functioning were evaluated through linear mixed models. Patients with CORE-defined melancholic depression (n = 41) had a 4.9 times greater chance of reaching response than those (n = 24) with non-melancholic depression (Chi-Square = 7.5, P = 0.006). At baseline, both higher total CORE scores (AUC = 0.76; P = 0.001) and needing more cognitive (AUC = 0.78; P = 0.001) and motor time (AUC = 0.76; P = 0.003) on the drawing task corresponded to superior ECT outcomes, as did lower daytime activity levels (AUC = 0.76) although not significantly so after Bonferroni correction for multiple testing. A greater CORE-score reduction in the first week of ECT was associated with higher ECT effectiveness. ECT reduced CORE-assessed psychomotor symptoms and improved activity levels only in those patients showing the severer baseline retardation. Although the sample was relatively small, psychomotor symptoms were clearly associated with beneficial outcome of ECT in patients with major depression, indicating that monitoring psychomotor deficits can help personalise treatment.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Depression; Electroconvulsive therapy; Melancholia; Prediction; Psychomotor disturbance

Year:  2019        PMID: 31382133     DOI: 10.1016/j.jpsychires.2019.07.009

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  7 in total

1.  The Combination of Serum BDNF, Cortisol and IFN-Gamma Can Assist the Diagnosis of Major Depressive Disorder.

Authors:  Suzhen Chen; Yuqun Zhang; Yonggui Yuan
Journal:  Neuropsychiatr Dis Treat       Date:  2021-08-26       Impact factor: 2.570

2.  Psychomotor semiology in depression: a standardized clinical psychomotor approach.

Authors:  A Paquet; A Lacroix; B Calvet; M Girard
Journal:  BMC Psychiatry       Date:  2022-07-15       Impact factor: 4.144

3.  Motor Behavior is Relevant for Understanding Mechanism, Bolstering Prediction, And Improving Treatment: A Transdiagnostic Perspective.

Authors:  Sebastian Walther; Vijay A Mittal
Journal:  Schizophr Bull       Date:  2022-06-21       Impact factor: 7.348

4.  Distinct predictors of short- versus long-term depression outcomes following electroconvulsive therapy.

Authors:  Brian J Mickey; Yarden Ginsburg; Erica Jensen; Daniel F Maixner
Journal:  J Psychiatr Res       Date:  2021-12-14       Impact factor: 5.250

5.  Identifying Subjective Symptoms Associated with Psychomotor Disturbance in Melancholia: A Multiple Regression Analysis Study.

Authors:  Yu Tamada; Takeshi Inoue; Atsushi Sekine; Hiroyuki Toda; Minoru Takeshima; Masaaki Sasaki; Keisuke Shindome; Wataru Morita; Nagisa Kuyama; Susumu Ohmae
Journal:  Neuropsychiatr Dis Treat       Date:  2021-04-19       Impact factor: 2.570

6.  Usefulness of Hamilton rating scale for depression subset scales and full versions for electroconvulsive therapy.

Authors:  Caoimhe Fenton; Declan M McLoughlin
Journal:  PLoS One       Date:  2021-11-09       Impact factor: 3.240

7.  A symptom-based approach in predicting ECT outcome in depressed patients employing MADRS single items.

Authors:  Luisa Carstens; Corinna Hartling; Anna Stippl; Ann-Kathrin Domke; Ana Lucia Herrera-Mendelez; Sabine Aust; Matti Gärtner; Malek Bajbouj; Simone Grimm
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2021-07-16       Impact factor: 5.270

  7 in total

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