A real-world pharmacovigilance study of abaloparatide based on the FDA Adverse Event Reporting System (FAERS).

Abaloparatide (ABL) is a US Food and Drug Administration-approved parathyroid hormone-related peptide analog for treatment of osteoporosis in postmenopausal women at high risk of fracture. However, real-world data regarding its long-term safety and tolerability in large sample population are incomplete. We evaluated abaloparatide-associated safety signals by data mining of the FDA pharmacovigilance database. INTRODUCTION: We investigated 33,480(0.14%) ABL-related adverse events (AEs) through data mining of Food and Drug Administration Adverse Event Reporting System (FAERS) retrospectively. METHODS: Reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN), and the multi-item gamma Poisson shrinker (MGPS) were employed to quantify the signals of ABL-related AEs from 2017Quarter2 to 2022.Serious and non-serious cases were compared by Mann-Whitney U test or Chi-squared (χ2) test. RESULTS: We collected 8,470,497 reports from the FAERS database, including 11,487 reports defined ABL as the primary suspected (PS) drug. Additionally, 36.16% of the reports were submitted by healthcare professionals (n=4154), compared to 62.26% reported by consumers (n=7140). A total 99 signals simultaneously conforming to four algorithms were detected, among which, 35 signals were identified as unexpected signals. Such as growing pains (n=13), waist circumference increased (n=21), sensory disturbance (n=103), tinnitus (n=65), visual acuity reduced (n=54), blood alkaline phosphatase increased (n=61), and hair growth abnormal (n=13). Patient age (p < 0.001) might be associated with an increased risk of AEs severity. The most common timeframe for AE occurrence was 0-7 days. CONCLUSION: Our study provided a deeper and broader understanding of abaloparatide's safety profiles, which would help healthcare professionals to mitigate the risk of AEs in clinical practice, a low number of unexpected AEs supporting ongoing additional pharmacovigilance.