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Prediction and structural equation model of sertraline treatment response in Japanese patients with major depressive disorder
Author(s) -
Nishioka Gentaro,
Yashima Hideaki,
Kiuchi Yuji,
Nakamura Sumiko,
Oyamada Hideto,
Ishii Masakazu,
Kudo Ikuo
Publication year - 2013
Publication title -
human psychopharmacology: clinical and experimental
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.461
H-Index - 78
eISSN - 1099-1077
pISSN - 0885-6222
DOI - 10.1002/hup.2347
Subject(s) - sertraline , harm avoidance , structural equation modeling , medicine , logistic regression , depression (economics) , personality , psychology , major depressive disorder , clinical psychology , temperament , psychiatry , social psychology , statistics , mathematics , macroeconomics , hippocampus , economics , antidepressant , amygdala
Objective The aim of this study was to extract the factors possibly associated with sertraline treatment response and elucidate their interactions and extent of influence. Methods Demographic state, stress state, personality, and eight genetic polymorphisms at baseline and clinical symptoms at baseline and 8 weeks were analyzed and examined by logistic regression and a structural equation model in sertraline treatment study of 96 Japanese patients with major depressive disorder. Results Non‐responders were associated with higher scores of harm avoidance in Temperament and Character Inventory, higher scores (≥24) of 17‐item Hamilton Rating Scale for Depression at baseline, recurrence, and 12/12 genotype of the serotonin transporter variable number of tandem repeat polymorphism in intron 2 (5HTTSTin2). When we calculated the response index using four factors extracted, the mean response index value of non‐responders was significantly higher than that of responders. The symptoms at baseline, personality, recurrence, and polymorphism of 5HTTSTin2 showed significantly direct and positive influences on the symptoms at 8 weeks in our final structural equation model with a good model fit. Conclusion Considering the combination of four factors extracted may be useful for predicting a worse response to sertraline treatment and selecting different treatment other than sertraline. Copyright © 2013 John Wiley & Sons, Ltd.