RESEARCH ARTICLE


Response to Fluvoxamine in the Obsessive-Compulsive Disorder Patients: Bayesian Ordinal Quantile Regression



Samad Safiloo1, Yadollah Mehrabi2, Sareh Asadi3, Soheila Khodakarim2, 4, *
1 School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2 School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3 Neurobiology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
4 School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran


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Creative Commons License
© 2021 Safiloo et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran; Tel: (+98) 71 32305887;
Fax: (+98) 71 32359847; E-mail: skhodakarim@sums.ac.ir


Abstract

Background:

Obsessive-Compulsive Disorder (OCD) is a chronic neuropsychiatric disorder associated with unpleasant thoughts or mental images, making the patient repeat physical or mental behaviors to relieve discomfort. 40-60% of patients do not respond to Serotonin Reuptake Inhibitors, including fluvoxamine therapy.

Introduction:

The aim of the study is to identify the predictors of fluvoxamine therapy in OCD patients by Bayesian Ordinal Quantile Regression Model.

Methods:

This study was performed on 109 patients with OCD. Three methods, including Bayesian ordinal quantile, probit, and logistic regression models, were applied to identify predictors of response to fluvoxamine. The accuracy and weighted kappa were used to evaluate these models.

Results:

Our result showed that rs3780413 (mean=-0.69, sd=0.39) and cleaning dimension (mean=-0.61, sd=0.20) had reverse effects on response to fluvoxamine therapy in Bayesian ordinal probit and logistic regression models. In the 75th quantile regression model, marital status (mean=1.62, sd=0.47) and family history (mean=1.33, sd=0.61) had a direct effect, and cleaning (mean=-1.10, sd=0.37) and somatic (mean=-0.58, sd=0.27) dimensions had reverse effects on response to fluvoxamine therapy.

Conclusion:

Response to fluvoxamine is a multifactorial problem and can be different in the levels of socio-demographic, genetic, and clinical predictors. Marital status, familial history, cleaning, and somatic dimensions are associated with response to fluvoxamine therapy.

Keywords: Obsessive-compulsive disorder, Fluvoxamine, Ordinal variables, Quantile regression, Chronic neuropsychiatric disorder, SSRIs.