Jeffrey R Strawn1,2, Jeffrey A Mills3, Paul E Croarkin4. 1. 1 Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, College of Medicine, Cincinnati, Ohio. 2. 2 Division of Child and Adolescent Psychiatry, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio. 3. 3 Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, Ohio. 4. 4 Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota.
Abstract
Objective: To guide clinicians in selecting the "next line" selective serotonin reuptake inhibitor (SSRI) for adolescents with treatment-resistant major depressive disorder, we sought to compare response rates among SSRIs in the Treatment of SSRI-Resistant Depression in Adolescents (TORDIA) study and to jointly model tolerability and efficacy for the specific SSRI comparisons. Methods: Efficacy and tolerability data for paroxetine, citalopram, and fluoxetine were extracted from the TORDIA study. Using a joint bivariate normal likelihood for response and tolerability (based on the maximum implied variance from the 95% credible intervals previously reported for the three SSRIs), a Monte Carlo pseudorandom sample (100,000 draws) was obtained, from which credible intervals, means, posterior tail probabilities, etc. were determined. Joint null hypotheses of no difference in efficacy and tolerability were then evaluated with regard to superiority of each SSRI over the others. Results: No significant differences in response were observed for citalopram compared with fluoxetine (p = 0.247) or for fluoxetine compared with paroxetine (p = 0.110), although citalopram trended toward being superior to paroxetine (mean difference: 0.2, p = 0.055). For efficacy-tolerability models, citalopram and fluoxetine were superior to paroxetine (p = 0.029 and p = 0.022, respectively) but did not differ between each other (p = 0.146). Conclusions: Joint efficacy-tolerability models suggest that citalopram and fluoxetine were statistically significantly superior to paroxetine while citalopram trended toward superiority over paroxetine in the efficacy model. These findings provide a more granular and practical evidence base for clinicians faced with treatment sequencing decisions in adolescents with SSRI-resistant depression.
Objective: To guide clinicians in selecting the "next line" selective serotonin reuptake inhibitor (SSRI) for adolescents with treatment-resistant major depressive disorder, we sought to compare response rates among SSRIs in the Treatment of SSRI-Resistant Depression in Adolescents (TORDIA) study and to jointly model tolerability and efficacy for the specific SSRI comparisons. Methods: Efficacy and tolerability data for paroxetine, citalopram, and fluoxetine were extracted from the TORDIA study. Using a joint bivariate normal likelihood for response and tolerability (based on the maximum implied variance from the 95% credible intervals previously reported for the three SSRIs), a Monte Carlo pseudorandom sample (100,000 draws) was obtained, from which credible intervals, means, posterior tail probabilities, etc. were determined. Joint null hypotheses of no difference in efficacy and tolerability were then evaluated with regard to superiority of each SSRI over the others. Results: No significant differences in response were observed for citalopram compared with fluoxetine (p = 0.247) or for fluoxetine compared with paroxetine (p = 0.110), although citalopram trended toward being superior to paroxetine (mean difference: 0.2, p = 0.055). For efficacy-tolerability models, citalopram and fluoxetine were superior to paroxetine (p = 0.029 and p = 0.022, respectively) but did not differ between each other (p = 0.146). Conclusions: Joint efficacy-tolerability models suggest that citalopram and fluoxetine were statistically significantly superior to paroxetine while citalopram trended toward superiority over paroxetine in the efficacy model. These findings provide a more granular and practical evidence base for clinicians faced with treatment sequencing decisions in adolescents with SSRI-resistant depression.
Entities:
Keywords:
depression; fluoxetine; major depressive disorder; paroxetine; sertraline
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