Literature DB >> 34742999

Individual response to electroconvulsive therapy is not correlated between multiple treatment courses.

Kamber L Hart1, Michael E Henry2, Thomas H McCoy2, Stephen J Seiner3, James Luccarelli4.   

Abstract

OBJECTIVES: Electroconvulsive therapy (ECT) effectively treats depressive disorders, but many patients will have subsequent relapses. While some guidelines suggest prior response to ECT is an indication for ECT in a subsequent mood episode, it is unknown whether response to ECT is correlated between treatment courses. This study explores whether response to ECT at a first treatment correlates with response to treatment in a second independent ECT course.
METHODS: Single-center retrospective cohort of patients receiving two different ECT treatment courses between 2011 and 2020 and who self-reported depression symptoms using the Quick Inventory of Depressive Symptomatology (QIDS) at baseline and following treatment #5.
RESULTS: 286 patients received two independent ECT series during the study period, of whom 153 received at least 5 treatments in both series. Patients had similar QIDS scores at the start of each treatment series (Pearson's correlation, r = 0.58, p <0.001), but the change in QIDS following 5 ECT treatments was not correlated between series for individual patients (Pearson's correlation, r = 0.083, p = 0.31). In multivariate analyses, change in QIDS was similar for both treatment series, but patients were less likely to receive 5 treatments in the second treatment series. LIMITATIONS: retrospective cohort cannot control for factors influencing access to repeat ECT treatment
CONCLUSIONS: While on average final QIDS score was the same following two independent treatment courses, for individual patients the change in depression symptoms was not correlated between treatment series. Further research is needed to identify factors that may predict longitudinal ECT response.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Affective disorders; Cohort studies; Electroconvulsive therapy

Mesh:

Year:  2021        PMID: 34742999      PMCID: PMC8709707          DOI: 10.1016/j.jad.2021.11.002

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  35 in total

1.  Comparison of self-report and clinician ratings on two inventories of depressive symptomatology.

Authors:  A John Rush; Thomas J Carmody; Hisham M Ibrahim; Madhukar H Trivedi; Melanie M Biggs; Kathy Shores-Wilson; M Lynn Crismon; Marcia G Toprac; T Michael Kashner
Journal:  Psychiatr Serv       Date:  2006-06       Impact factor: 3.084

2.  Information-processing abnormalities: trait- and state-dependent components.

Authors:  D P Saccuzzo; D L Braff
Journal:  Schizophr Bull       Date:  1986       Impact factor: 9.306

3.  Factors associated with relapse after a response to electroconvulsive therapy in unipolar versus bipolar depression.

Authors:  Kei Itagaki; Minoru Takebayashi; Chiyo Shibasaki; Naoto Kajitani; Hiromi Abe; Mami Okada-Tsuchioka; Shigeto Yamawaki
Journal:  J Affect Disord       Date:  2016-10-11       Impact factor: 4.839

4.  Clinical vs. self-report versions of the quick inventory of depressive symptomatology in a public sector sample.

Authors:  Ira H Bernstein; A John Rush; Thomas J Carmody; Ada Woo; Madhukar H Trivedi
Journal:  J Psychiatr Res       Date:  2006-05-22       Impact factor: 4.791

5.  The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression.

Authors:  A John Rush; Madhukar H Trivedi; Hicham M Ibrahim; Thomas J Carmody; Bruce Arnow; Daniel N Klein; John C Markowitz; Philip T Ninan; Susan Kornstein; Rachel Manber; Michael E Thase; James H Kocsis; Martin B Keller
Journal:  Biol Psychiatry       Date:  2003-09-01       Impact factor: 13.382

6.  Neurocognitive functioning after electroconvulsive therapy in late-life depression: A 4-year prospective study.

Authors:  Jasmien Obbels; Kristof Vansteelandt; Filip Bouckaert; Annemiek Dols; Max Stek; Esmée Verwijk; Pascal Sienaert
Journal:  Acta Psychiatr Scand       Date:  2020-11-04       Impact factor: 6.392

7.  Identifying Recipients of Electroconvulsive Therapy: Data From Privately Insured Americans.

Authors:  Samuel T Wilkinson; Edeanya Agbese; Douglas L Leslie; Robert A Rosenheck
Journal:  Psychiatr Serv       Date:  2018-02-01       Impact factor: 3.084

8.  Demographics of Patients Receiving Electroconvulsive Therapy Based on State-Mandated Reporting Data.

Authors:  James Luccarelli; Michael E Henry; Thomas H McCoy
Journal:  J ECT       Date:  2020-12       Impact factor: 3.692

9.  Ketamine augmentation of electroconvulsive therapy to improve neuropsychological and clinical outcomes in depression (Ketamine-ECT): a multicentre, double-blind, randomised, parallel-group, superiority trial.

Authors:  Ian M Anderson; Andrew Blamire; Tim Branton; Ross Clark; Darragh Downey; Graham Dunn; Andrew Easton; Rebecca Elliott; Clare Elwell; Katherine Hayden; Fiona Holland; Salman Karim; Colleen Loo; Jo Lowe; Rajesh Nair; Timothy Oakley; Antony Prakash; Parveen K Sharma; Stephen R Williams; R Hamish McAllister-Williams
Journal:  Lancet Psychiatry       Date:  2017-03-27       Impact factor: 27.083

10.  Electroconvulsive Therapy and the Risk of Suicide in Hospitalized Patients With Major Depressive Disorder.

Authors:  Ida Rönnqvist; Fredrik K Nilsson; Axel Nordenskjöld
Journal:  JAMA Netw Open       Date:  2021-07-01
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