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Post-marketing safety concerns with elagolix: a disproportionality analysis of the FDA adverse event reporting system.
Expert Opinion on Drug Safety 2024 May 4
OBJECTIVE: Elagolix is approved for the treatment of moderate-to-severe pain associated with endometriosis. However, the long-term safety of elagolix in a large sample of real-world patients is unknown.
METHODS: The U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) reports were collected and analyzed for the first quarter of 2019 through the second quarter of 2023. Disproportionality analyses, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN), and the multi-item gamma Poisson shrinker (MGPS) algorithms, were employed in data mining to quantify the signals of elagolix-related adverse events (AEs).
RESULTS: A total of 112 elagolix-induced AE signals were detected in 17 system organ classes (SOCs) that simultaneously met the thresholds of 4 algorithms. After removing the non-drug-related AE signals, we detected several AE signals such as hot flushes, bone pain, suicidal ideation, depression, and increased liver enzymes, which were known during the clinical trial phase. In addition to this, we detected several unexpected important adverse events that were not mentioned in the drug insert, including cystitis interstitial, parosmia, and epiploic appendagitis. The median onset time of elagolix-associated AEs was 28.5 days. The majority of cases occurred within 1 month after initiation of elagolix treatment.
CONCLUSION: Our study provides a comprehensive picture of the safety of elagolix in the post-marketing setting, while also identifying potential new AE signals. These findings emphasize the importance of continued monitoring of the potential risks of elagolix.
METHODS: The U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) reports were collected and analyzed for the first quarter of 2019 through the second quarter of 2023. Disproportionality analyses, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN), and the multi-item gamma Poisson shrinker (MGPS) algorithms, were employed in data mining to quantify the signals of elagolix-related adverse events (AEs).
RESULTS: A total of 112 elagolix-induced AE signals were detected in 17 system organ classes (SOCs) that simultaneously met the thresholds of 4 algorithms. After removing the non-drug-related AE signals, we detected several AE signals such as hot flushes, bone pain, suicidal ideation, depression, and increased liver enzymes, which were known during the clinical trial phase. In addition to this, we detected several unexpected important adverse events that were not mentioned in the drug insert, including cystitis interstitial, parosmia, and epiploic appendagitis. The median onset time of elagolix-associated AEs was 28.5 days. The majority of cases occurred within 1 month after initiation of elagolix treatment.
CONCLUSION: Our study provides a comprehensive picture of the safety of elagolix in the post-marketing setting, while also identifying potential new AE signals. These findings emphasize the importance of continued monitoring of the potential risks of elagolix.
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