Cargando…

Novel ensemble method for the prediction of response to fluvoxamine treatment of obsessive–compulsive disorder

OBJECTIVE: About 30% of obsessive–compulsive disorder (OCD) patients exhibit an inadequate response to pharmacotherapy. The detection of clinical variables associated with treatment response may result in achievement of remission in shorter period, preventing illness development and reducing socioec...

Descripción completa

Detalles Bibliográficos
Autores principales: Hasanpour, Hesam, Ghavamizadeh Meibodi, Ramak, Navi, Keivan, Asadi, Sareh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6091249/
https://www.ncbi.nlm.nih.gov/pubmed/30127613
http://dx.doi.org/10.2147/NDT.S173388
_version_ 1783347358914838528
author Hasanpour, Hesam
Ghavamizadeh Meibodi, Ramak
Navi, Keivan
Asadi, Sareh
author_facet Hasanpour, Hesam
Ghavamizadeh Meibodi, Ramak
Navi, Keivan
Asadi, Sareh
author_sort Hasanpour, Hesam
collection PubMed
description OBJECTIVE: About 30% of obsessive–compulsive disorder (OCD) patients exhibit an inadequate response to pharmacotherapy. The detection of clinical variables associated with treatment response may result in achievement of remission in shorter period, preventing illness development and reducing socioeconomic costs. METHODS: In total, 330 subjects with OCD diagnosis underwent 12-week pharmacotherapy with fluvoxamine (150–300 mg). Treatment response was ≥25% reduction in Yale-Brown Obsessive–Compulsive Scale (Y-BOCS) score. In total, 36 clinical attributes of 151 subjects who had completed their treatment course were analyzed. Data mining algorithms included missing value handling, feature selection, and new analytical method based on ensemble classification. The results were compared with those of other traditional classification algorithms such as decision tree, support vector machines, k-nearest neighbor, and random forest. RESULTS: Sexual and contamination obsessions are high-ranked predictors of resistance to fluvoxamine pharmacotherapy as well as high Y-BOCS obsessive score. Our results showed that the proposed analysis strategy has good ability to distinguish responder and nonresponder patients according to their clinical features with 86% accuracy, 79% sensitivity, and 89% specificity. CONCLUSION: This study proposed an analytical approach which is an accurate and a sensitive method for the analysis of high-dimensional medical data sets containing more number of missing values. The treatment of OCD could be improved by better understanding of the predictors of pharmacotherapy, which may lead to more effective treatment of patients with OCD.
format Online
Article
Text
id pubmed-6091249
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Dove Medical Press
record_format MEDLINE/PubMed
spelling pubmed-60912492018-08-20 Novel ensemble method for the prediction of response to fluvoxamine treatment of obsessive–compulsive disorder Hasanpour, Hesam Ghavamizadeh Meibodi, Ramak Navi, Keivan Asadi, Sareh Neuropsychiatr Dis Treat Original Research OBJECTIVE: About 30% of obsessive–compulsive disorder (OCD) patients exhibit an inadequate response to pharmacotherapy. The detection of clinical variables associated with treatment response may result in achievement of remission in shorter period, preventing illness development and reducing socioeconomic costs. METHODS: In total, 330 subjects with OCD diagnosis underwent 12-week pharmacotherapy with fluvoxamine (150–300 mg). Treatment response was ≥25% reduction in Yale-Brown Obsessive–Compulsive Scale (Y-BOCS) score. In total, 36 clinical attributes of 151 subjects who had completed their treatment course were analyzed. Data mining algorithms included missing value handling, feature selection, and new analytical method based on ensemble classification. The results were compared with those of other traditional classification algorithms such as decision tree, support vector machines, k-nearest neighbor, and random forest. RESULTS: Sexual and contamination obsessions are high-ranked predictors of resistance to fluvoxamine pharmacotherapy as well as high Y-BOCS obsessive score. Our results showed that the proposed analysis strategy has good ability to distinguish responder and nonresponder patients according to their clinical features with 86% accuracy, 79% sensitivity, and 89% specificity. CONCLUSION: This study proposed an analytical approach which is an accurate and a sensitive method for the analysis of high-dimensional medical data sets containing more number of missing values. The treatment of OCD could be improved by better understanding of the predictors of pharmacotherapy, which may lead to more effective treatment of patients with OCD. Dove Medical Press 2018-08-10 /pmc/articles/PMC6091249/ /pubmed/30127613 http://dx.doi.org/10.2147/NDT.S173388 Text en © 2018 Hasanpour et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Hasanpour, Hesam
Ghavamizadeh Meibodi, Ramak
Navi, Keivan
Asadi, Sareh
Novel ensemble method for the prediction of response to fluvoxamine treatment of obsessive–compulsive disorder
title Novel ensemble method for the prediction of response to fluvoxamine treatment of obsessive–compulsive disorder
title_full Novel ensemble method for the prediction of response to fluvoxamine treatment of obsessive–compulsive disorder
title_fullStr Novel ensemble method for the prediction of response to fluvoxamine treatment of obsessive–compulsive disorder
title_full_unstemmed Novel ensemble method for the prediction of response to fluvoxamine treatment of obsessive–compulsive disorder
title_short Novel ensemble method for the prediction of response to fluvoxamine treatment of obsessive–compulsive disorder
title_sort novel ensemble method for the prediction of response to fluvoxamine treatment of obsessive–compulsive disorder
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6091249/
https://www.ncbi.nlm.nih.gov/pubmed/30127613
http://dx.doi.org/10.2147/NDT.S173388
work_keys_str_mv AT hasanpourhesam novelensemblemethodforthepredictionofresponsetofluvoxaminetreatmentofobsessivecompulsivedisorder
AT ghavamizadehmeibodiramak novelensemblemethodforthepredictionofresponsetofluvoxaminetreatmentofobsessivecompulsivedisorder
AT navikeivan novelensemblemethodforthepredictionofresponsetofluvoxaminetreatmentofobsessivecompulsivedisorder
AT asadisareh novelensemblemethodforthepredictionofresponsetofluvoxaminetreatmentofobsessivecompulsivedisorder