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Predicting antidepressant response using early changes in cognition: A systematic review.

Authors :
Park C
Pan Z
Brietzke E
Subramaniapillai M
Rosenblat JD
Zuckerman H
Lee Y
Fus D
McIntyre RS
Source :
Behavioural brain research [Behav Brain Res] 2018 Nov 01; Vol. 353, pp. 154-160. Date of Electronic Publication: 2018 Jul 18.
Publication Year :
2018

Abstract

Background: Despite the widespread use of antidepressants in clinical practice, the current trial-and-error approach to medication selection contributes to treatment failure and underscores the need to identify reliable predictors of antidepressant response. Since changes in measures of cognition have been reported to occur early in treatment and prior to improvements in overall mood symptoms, the present review aims to determine whether early changes in measures of cognition can predict response in individuals with MDD.<br />Methods: A systematic review of studies evaluating early cognitive change as a predictor of later treatment response in MDD was conducted using PubMed/Medline, Embase and PsychINFO.<br />Results: A total of seven articles were identified. The available evidence suggests the early changes in cognition may predict treatment response in individuals with MDD. This was shown across antidepressant classes (i.e., SSRIs, SNRIs, NRIs, melatonergic antidepressants) and forms of therapy (i.e., pharmacotherapy, rTMS). The results depict an emerging trend towards early changes in facial emotion recognition (i.e., a hot cognitive process) as a predictor of treatment outcome.<br />Limitations: Our qualitative analysis reflects a very limited number of studies. Moreover, there was significant heterogeneity in the evaluation of cognition across studies. Future research should aim to parse out this heterogeneity by evaluating the relative predictive value of different measures of cognition.<br />Conclusion: The identification of reliable early treatment predictors of antidepressant response would be clinically significant, enabling clinicians to more accurately evaluate the efficacy of selected treatment avenues.<br /> (Copyright © 2018 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1872-7549
Volume :
353
Database :
MEDLINE
Journal :
Behavioural brain research
Publication Type :
Academic Journal
Accession number :
30031025
Full Text :
https://doi.org/10.1016/j.bbr.2018.07.011