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Predictive response factors of repetitive transcranial magnetic stimulation in treatment-resistant depression
Published online by Cambridge University Press: 23 March 2020
Abstract
Repetitive transcranial magnetic stimulation (rTMS) is a neurostimulation technique used in many indications, especially in psychiatry in the treatment of mood disorders. Although its efficacy in this treatment has been demonstrated, the study of predictive response factors currently remains a major challenge.
We conducted a retrospective study from the cohort of treatment-resistant depressed patients that received rTMS treatment in Esquirol Hospital in Limoges in order to identify response predictors at three months. Of the 416 patients treated between January 2007 and November 2015, 107 subjects have been included. The clinical characteristics of responders and nonresponders at three months after treatment, but also at the end of treatment and after one month were compared. Predictors of clinical improvement objectified by the Hamilton Depression Rating Scale (HDRS) were identified using a logistic regression model.
In our cohort, the response rates were 52% at the end of treatment, 61% at 1 month and 57% at 3 months. Psychiatric family history and the recurrence of thymic episodes were found to be negative predictors of response to rTMS treatment. Similarly, high subscore of depression core symptoms in HDRS could also predict a poorer response.
Our data from a naturalistic cohort tended to prove that a number of clinical features should be taken into account in determining the profile of the treatment-resistant depressed patients that could respond to rTMS treatment.
The authors have not supplied their declaration of competing interest.
- Type
- e-Poster Walk: Psychosurgery & stimulation methods (ECT, TMS, VNS, DBS) and psychophysiology
- Information
- European Psychiatry , Volume 41 , Issue S1: Abstract of the 25th European Congress of Psychiatry , April 2017 , pp. S373 - S374
- Copyright
- Copyright © European Psychiatric Association 2017
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