Prediction and structural equation model of sertraline treatment response in Japanese patients with major depressive disorder

摘要

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.