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Early improvement as a predictor of final remission in major depressive disorder: New insights in electroconvulsive therapy.
- Source :
-
Journal of affective disorders [J Affect Disord] 2018 Aug 01; Vol. 235, pp. 169-175. Date of Electronic Publication: 2018 Apr 06. - Publication Year :
- 2018
-
Abstract
- Background: Early improvement to antidepressant drugs predicts remission, but the predictive value of early improvement to electroconvulsive therapy (ECT) is still unclear. The main aim of this study was to determine the optimal definition of early improvement in the treatment of major depressive disorder (MDD) with ECT, by analyzing its value as a predictor of remission.<br />Methods: A naturalistic study was conducted in 87 adult MDD patients treated with acute ECT. ROC curves were generated to identify the best time point (week 1 or 2 of treatment) predicted remission. Sensibility, specificity, and predictive values were calculated for several definitions of early improvement previously proposed in the literature (20%, 25%, 30%, and 35%). Complementary, time to remission was analyzed and a logistic regression model was performed to further characterize the impact of the optimal definition of early improvement on remission while adjusting for other clinically relevant variables.<br />Results: A 30% reduction in the HAM-D score after 2 weeks was identified as the optimal definition of early improvement, with acceptable sensitivity (76%), and specificity (67%). Complementary analyses provided further support for this definition showing a shorter time to remission and a significant effect adjusted for the rest of variables.<br />Limitations: Relatively small sample size, ECT restricted to brief bilateral treatment.<br />Conclusions: Early improvement, defined as a 30% of reduction in the HAM-D <subscript>21</subscript> score at week 2, is a good predictor of remission in MDD patients treated with bilateral ECT, with potential clinical impact. Lack of early improvement could indicate a need for further changes in treatment strategies.<br /> (Copyright © 2018 Elsevier B.V. All rights reserved.)
- Subjects :
- Aged
Female
Humans
Inpatients psychology
Inpatients statistics & numerical data
Logistic Models
Male
Middle Aged
Predictive Value of Tests
ROC Curve
Remission Induction methods
Sensitivity and Specificity
Time Factors
Treatment Outcome
Depressive Disorder, Major therapy
Electroconvulsive Therapy statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1573-2517
- Volume :
- 235
- Database :
- MEDLINE
- Journal :
- Journal of affective disorders
- Publication Type :
- Academic Journal
- Accession number :
- 29656263
- Full Text :
- https://doi.org/10.1016/j.jad.2018.03.014