Sex differences in response to citalopram: a STAR*D report.

J Psychiatr Res

Department of Psychiatry and Molecular and Behavioral Neurosciences Institute, University of Michigan, Ann Arbor, MI 48109-5765, USA.

Published: February 2009

AI Article Synopsis

  • The study aimed to explore gender differences in the response to the SSRI citalopram for treating depression, analyzing data from a large sample of 2,876 patients.
  • The findings revealed that women, despite presenting with more severe depressive symptoms and various comorbid conditions at the start, were more likely than men to achieve remission and respond positively to the treatment.
  • The research suggests that these differences in response may be linked to biological factors related to serotonin systems in men and women.

Article Abstract

Objective: Controversy exists as to whether women with depression respond better to selective serotonin reuptake inhibitors (SSRIs) than men. The purpose of this report was to determine whether men and women differ in their responses to treatment with the SSRI citalopram using a large sample of real world patients from primary and psychiatric specialty care settings.

Method: As part of the sequenced treatment alternatives to relieve depression (STAR *D) study, 2876 participants were treated with citalopram for up to 12-14 weeks. Baseline demographic and clinical characteristics and outcomes were gathered and compared between men and women.

Results: At baseline, women were younger, had more severe depressive symptoms and were more likely to have: early onset; previous suicide attempt(s); a family history of depression, alcohol abuse or drug abuse; atypical symptom features; and one or more of several concurrent psychiatric disorders. Despite greater baseline severity and more Axis I comorbidities, women were more likely to reach remission and response with citalopram than men.

Conclusions: Women have a better response to the SSRI citalopram than men, which may be due to sex-specific biological differences particularly in serotonergic systems.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2681489PMC
http://dx.doi.org/10.1016/j.jpsychires.2008.07.002DOI Listing

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