A real-world pharmacovigilance analysis of hepatitis B vaccine using the U.S. Vaccine Adverse Event Reporting System (VAERS) database.

ABSTRACT: Hepatitis B vaccines (HBVs) are widely used duo to their high clinical use and mild effects. However, as post-marketing data accumulate, several serious adverse events (SAEs) following HBV have been reported. Currently, quantitative studies based on real-world data are lacking, and information on their adverse events is limited. Adverse reaction signals of the HBV were mined and analyzed using the U.S. Vaccine Adverse Event Reporting System (VAERS) to provide a reference for the safe clinical use of this vaccine. Multiple statistical methods, including the reporting odds ratio (ROR) method, the Medicines and Healthcare Products Regulatory Agency (MHRA) method, and the Bayesian Confidence Propagation Neural Network (BCPNN) method, were utilized to identify signals of HBV-associated adverse

SUBMITTER: Zhou H 

PROVIDER: S-EPMC11840001 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature