Risk of drug-induced pericardial effusion: a disproportionality analysis of the FAERS database.

ABSTRACT:

Objective

By using the FAERS database, we aim to identify and assess risk signals of adverse drug events (ADEs) potentially causing pericardial effusion, to inform clinical drug management and promote rational drug use.

Methods

We obtained reports of pericardial effusion events from the FAERS database spanning from the first quarter of 2004 to the second quarter of 2024, and identified the top 50 drugs ranked by report frequency or signal strength. Four algorithms, namely the reported odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and multi-item gamma Poisson shrinker (MGPS), were employed for signal detection of these drugs. Furthermore, for drugs with positive signals, we conducted sensitivity analyses and empl

SUBMITTER: Ren G 

PROVIDER: S-EPMC11806542 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature