Predicting treatment response to antidepressant medication using early changes in emotional processing.
Adolescent
Adult
Aged
Algorithms
Antidepressive Agents
/ therapeutic use
Citalopram
/ therapeutic use
Depression
/ diagnosis
Diagnosis, Computer-Assisted
/ methods
Emotions
/ drug effects
Facial Expression
Female
Forecasting
/ methods
Humans
Male
Middle Aged
Primary Health Care
/ methods
Recognition, Psychology
Time Factors
Treatment Outcome
Young Adult
Antidepressant
Depression
Emotional bias
Machine learning
Prediction
Treatment
Journal
European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology
ISSN: 1873-7862
Titre abrégé: Eur Neuropsychopharmacol
Pays: Netherlands
ID NLM: 9111390
Informations de publication
Date de publication:
01 2019
01 2019
Historique:
received:
07
04
2018
revised:
02
10
2018
accepted:
09
11
2018
pubmed:
27
11
2018
medline:
6
8
2019
entrez:
27
11
2018
Statut:
ppublish
Résumé
Antidepressants must be taken for weeks before response can be assessed with many patients not responding to the first medication prescribed. This often results in long delays before effective treatment is started. Antidepressants induce changes in the processing of emotional stimuli early in the course of treatment. In the current study we assessed whether changes in emotional processing and subjective symptoms over the first week of antidepressant treatment predicted clinical response after 4-8 weeks of treatment. Such a predictive test may shorten the time taken to initiate effective treatment in depressed patients. Seventy-four depressed primary care patients completed measures of emotional bias and subjective symptoms before starting antidepressant treatment and then again 1 week later. Response to treatment was assessed after 4-6 weeks. The performance of classifiers based on these measures was assessed using a leave-one-out validation procedure with the best classifier then tested in an independent sample from a second study of 239 patients. The combination of a facial emotion recognition task and subjective symptoms predicted response with 77% accuracy in the training sample and 60% accuracy in the independent study, significantly better than possible using baseline response rates. The face based measure of emotional bias provided good quality data with high acceptability ratings. Changes in emotional processing can provide a sensitive early measure of antidepressant efficacy for individual patients. Early treatment induced changes in emotional processing may be used to guide antidepressant therapy and reduce the time taken for depressed patients to return to good mental health.
Identifiants
pubmed: 30473402
pii: S0924-977X(18)31963-1
doi: 10.1016/j.euroneuro.2018.11.1102
pii:
doi:
Substances chimiques
Antidepressive Agents
0
Citalopram
0DHU5B8D6V
Types de publication
Clinical Trial
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Pagination
66-75Subventions
Organisme : Medical Research Council
ID : MR/N008103/1
Pays : United Kingdom
Informations de copyright
Copyright © 2018. Published by Elsevier B.V.