Title of article :
The role of clinical variables, neuropsychological performance and SLC6A4 and COMT gene polymorphisms on the prediction of early response to fluoxetine in major depressive disorder
Author/Authors :
Ixchel and Gudayol-Ferré، نويسنده , , Esteve and Herrera-Guzmلn، نويسنده , , Ixchel and Camarena، نويسنده , , Beatriz and Cortés-Penagos، نويسنده , , Carlos and Herrera-Abarca، نويسنده , , Jorge E. and Martيnez-Medina، نويسنده , , Patricia G. Cruz، نويسنده , , David and Hernلndez، نويسنده , , Sandra and Genis، نويسنده , , Alma and Carrillo-Guerrero، نويسنده , , Mariana Y. and Avilés Reyes، نويسنده , , Rubén and Guàrdia-Olmos، نويسنده , , Joan، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
9
From page :
343
To page :
351
Abstract :
Introduction depressive disorder (MDD) is treated with antidepressants, but only between 50% and 70% of the patients respond to the initial treatment. Several authors suggested different factors that could predict antidepressant response, including clinical, psychophysiological, neuropsychological, neuroimaging, and genetic variables. However, these different predictors present poor prognostic sensitivity and specificity by themselves. The aim of our work is to study the possible role of clinical variables, neuropsychological performance, and the 5HTTLPR, rs25531, and val108/58Met COMT polymorphisms in the prediction of the response to fluoxetine after 4 weeks of treatment in a sample of patient with MDD. s ients with MDD were genotyped according to the above-mentioned polymorphisms, and were clinically and neuropsychologically assessed before a 4-week fluoxetine treatment. Fluoxetine response was assessed by using the Hamilton Depression Rating Scale. We carried out a binary logistic regression model for the potential predictive variables. s the clinical variables studied, only the number of anxiety disorders comorbid with MDD have predicted a poor response to the treatment. A combination of a good performance in variables of attention and low performance in planning could predict a good response to fluoxetine in patients with MDD. None of the genetic variables studied had predictive value in our model. tions ssible placebo effect has not been controlled. Our study is focused on response prediction but not in remission prediction. sions rk suggests that the combination of the number of comorbid anxiety disorders, an attentional variable, and two planning variables makes it possible to correctly classify 82% of the depressed patients who responded to the treatment with fluoxetine, and 74% of the patients who did not respond to that treatment.
Keywords :
neuropsychological assessment , COMT , Polymorphism , Antidepressant response , Major depressive disorder , 5HTTLPR
Journal title :
Journal of Affective Disorders
Serial Year :
2010
Journal title :
Journal of Affective Disorders
Record number :
1433961
Link To Document :
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