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ABSTRACT: Background
Spironolactone, a potassium-sparing diuretic, is commonly prescribed for conditions such as heart failure, hypertension, and hyperaldosteronism. This study aims to explore and analyze the safety profile of spironolactone by examining adverse event reports from the FDA Adverse Event Reporting System (FAERS) database.Methods
This study conducted a retrospective pharmacovigilance analysis using FAERS data (2004 Q1-2024 Q3). Adverse drug events (ADEs) related to spironolactone were identified and categorized by system organ class and specific adverse events. Statistical methods such as Proportional Reporting Ratio (PRR), Reporting Odds Ratio (ROR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM) were employed to de
SUBMITTER: Lin G
PROVIDER: S-EPMC12443299 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature