Rotigotine safety in real-world settings: a pharmacovigilance study using FAERS data

Abstract

Background

This pharmacovigilance study aims to assess adverse reactions to rotigotine based on spontaneous reports in the FDA Adverse Event Reporting System (FAERS) database, providing insights for clinical dosing.

Methods

We conducted a retrospective analysis using FAERS data from Q2 2007 to Q2 2024, employing four disproportionality analysis methods: Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multinomial Gamma Poisson Shrinkage (MGPS). These methods were utilized to detect and evaluate adverse events (AEs) associated with rotigotine.

Results

The dataset retrieved from the FAERS, encompassing 17,522,075 reports, a subset of 7,570 AE reports specifically implicated rotigotine. Upon analysis, 172 preferred terms (PTs) exhibited significant disproportionality and were consistently identified by the four employed algorithms. Particularly, product adhesion issue(N = 1,336, ROR 115,28 [108.94–121.98], PRR 108.46 [135850.43], EBGM 103.57 [98.79], IC (5.03) [5.03]) emerged as the predominant AE. Serious and unexpected AEs, such as drug ineffectiveness(N = 651, ROR 1.32 [ 1.22–1.43], PRR 1.31 [50.04], EBGM 1.31 [1.23], IC 0.39 [-1.27]), fall incidents(N = 361, ROR 2.93 [2.64–3.25 ], PRR 2.9 [451.76], EBGM 2.9 [2.66], IC 1.54 [-0.13]), and Parkinson’s disease(N = 345, ROR 51.57 [46.31–57.42], PRR 50.79 [16476.71], EBGM 49.7 [45.43], IC 5.64 [3.97], were also recorded.The majority of these AEs were reported within the initial 30 days of therapy (n = 298, 22.1%), whereas a significant number were noted after 360 days of treatment (n = 507, 36.2%). The median time to the onset of AEs was 213 days.

Conclusion

Our findings, which align with the established safety profile of rotigotine, reveal the presence of unexpected serious AEs and emphasize the importance of continued vigilance in post-marketing surveillance.