PloS one · 2025
Drug-induced vitiligo: a real-world pharmacovigilance analysis of the FAERS database.
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Shen Nonger, Fang Qingxia, Wu Yue, Lan Lan, Ma Fangfang
Аннотация
BACKGROUND: In recent years, with the expanding use of novel therapeutics such as immune checkpoint inhibitors and monoclonal antibodies, reports of drug-induced vitiligo have been increasing. This study aimed to identify drugs associated with vitiligo using the FDA Adverse Event Reporting System (FAERS).
METHODS: A retrospective disproportionality analysis was performed on FAERS reports from the first quarter of 2004 to the fourth quarter of 2024. Disproportionality signals were assessed using the Reporting odds ratio (ROR) and Bayesian confidence propagation neural network (BCPNN).
RESULTS: The present study identified 1,910 cases of vitiligo, with a median age of 54 years (interquartile range [IQR]: 40.0-66.0). The gender distribution among these cases was 45.9% female, 35.9% male, and 18.3% with undetermined gender. The three most frequently reported drugs were nivolumab (152 cases), pembrolizumab (132 cases), and dupilumab (77 cases). Forty-six drugs showed significant positive vitiligo signals. The three strongest signals (based on ROR) were mogamulizumab (ROR 73.93, 95% confidence interval [CI] 39.62-137.94; the lower 95% CI for the information component [IC025] 2.40), imiquimod (ROR 72.00, 95% CI 43.24-119.89; IC025 3.00) and chloroquine (ROR 53.33, 95% CI 17.13-166.02; IC025 0.47). Notably, 80.4% (37/46) of these drugs lacked vitiligo warnings in their FDA-approved labels.
CONCLUSION: This study has uncovered an extensive catalog of drugs with the potential to induce vitiligo. While these findings are based on pharmacovigilance signals and require further validation, patients receiving these medications should be closely monitored for the development of vitiligo.
METHODS: A retrospective disproportionality analysis was performed on FAERS reports from the first quarter of 2004 to the fourth quarter of 2024. Disproportionality signals were assessed using the Reporting odds ratio (ROR) and Bayesian confidence propagation neural network (BCPNN).
RESULTS: The present study identified 1,910 cases of vitiligo, with a median age of 54 years (interquartile range [IQR]: 40.0-66.0). The gender distribution among these cases was 45.9% female, 35.9% male, and 18.3% with undetermined gender. The three most frequently reported drugs were nivolumab (152 cases), pembrolizumab (132 cases), and dupilumab (77 cases). Forty-six drugs showed significant positive vitiligo signals. The three strongest signals (based on ROR) were mogamulizumab (ROR 73.93, 95% confidence interval [CI] 39.62-137.94; the lower 95% CI for the information component [IC025] 2.40), imiquimod (ROR 72.00, 95% CI 43.24-119.89; IC025 3.00) and chloroquine (ROR 53.33, 95% CI 17.13-166.02; IC025 0.47). Notably, 80.4% (37/46) of these drugs lacked vitiligo warnings in their FDA-approved labels.
CONCLUSION: This study has uncovered an extensive catalog of drugs with the potential to induce vitiligo. While these findings are based on pharmacovigilance signals and require further validation, patients receiving these medications should be closely monitored for the development of vitiligo.