Drug-Induced Gynecomastia: Data Mining and Analysis of the FDA Adverse Event Reporting System Database.

PURPOSE

Drug-induced gynecomastia significantly affects patient health and quality of life. This study aimed to perform an exploratory analysis of gynecomastia reports and the most commonly associated medications within the FAERS database.

PATIENTS AND METHODS

A comprehensive analysis of the FAERS from January 2004 to December 2023 was conducted. Disproportionality analysis and subsequent sensitivity analysis were performed to identify drugs potentially associated with gynecomastia, utilizing the reported odds ratio (ROR). Logistic regression analysis was employed to assess potential risk factors. The Weibull shape parameter (WSP) test was used to assess the time-to-onset characteristics of the top drugs associated with gynecomastia.

RESULTS

The study identified 30,265 cases of gynecomastia, primarily associated with nervous system drugs, accounting for 85.50% of cases. Notably, risperidone accounted for 80.81% of the total cases. Among the 165 agents with ≥ 5 cases of gynecomastia, the strongest signals were exhibited by risperidone (ROR 602.38, 95% CI 585.07-620.20), dutasteride (ROR 17.18, 95% CI 15.55-18.89), spironolactone (ROR 15.8, 95% CI 13.99-17.83), and paliperidone (ROR 7.16, 95% CI 6.55-7.84). In the sensitivity analysis of disproportionality, unexpected associations were observed, such as montelukast (n = 21, ROR 1.94, 95% CI 1.26-2.98). The logistic regression analysis indicated that the risk of risperidone-induced gynecomastia was significantly lower in adults compared to pediatric patients (OR 0.12, 95% CI 0.09-0.15) and in patients with higher body weight than in those with lower body weight (OR 5.24, 95% CI 3.62-7.76). The WSP test showed that gynecomastia induced by most of the top 10 common agents tends to occur in an early failure mode.

CONCLUSION

The rankings and signal strengths of drugs associated with gynecomastia were extracted from the FAERS. The age distribution and time-to-onset distribution of the top 10 drugs linked to gynecomastia were investigated, which can facilitate accurate clinical recognition of drug-induced gynecomastia.