1. A real-world data analysis of acetylsalicylic acid in FDA Adverse Event Reporting System (FAERS) database.
- Author
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Zhao B, Zhang X, Chen M, and Wang Y
- Subjects
- United States, Humans, Bayes Theorem, Adverse Drug Reaction Reporting Systems, United States Food and Drug Administration, Data Analysis, Aspirin adverse effects, Drug-Related Side Effects and Adverse Reactions epidemiology
- Abstract
Background: Acetylsalicylic acid (Aspirin), one of the oldest medicines, is widely used in various clinical fields. However, numerous adverse events (AEs) have been reported. In this study, we aimed to investigate adverse drug reactions (ADRs) of aspirin using real-worlddata from the US Food and Drug Administration Adverse Event Reporting System (FAERS) database., Methods: We assessed the disproportionality of aspirin-related AEs by calculating measures such as reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagationneural network (BCPNN), and Gamma-Poisson Shrinker (GPS)., Results: Out of 7,510,564 casereports in the FAERS database, 18644 reports of aspirin as the 'primary suspected (PS)' AEs were recorded. Disproportionality analyses identified 493 aspirin-related preferred terms (PTs) across 25 organ systems. Notably, unexpected significant AEs such as pallor ( p =5.66E-33), dependence ( p =6.45E-67), and compartment syndrome ( p =1.95E-28) were observed, which were not mentioned in the drug's instructions., Conclusion: Our findings align with clinical observations, highlighting potential new and unexpected ADR signals associated with aspirin. Further prospective clinical studies are necessary to confirm and elucidate the relationship between aspirin and these ADRs. This study offers a fresh and unique perspective for studying drug-AEs.
- Published
- 2023
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