Pharmacovigilance study of adverse events of vedolizumab based on the FAERS database

This study aims to assess the adverse event profile of vedolizumab (Entyvio<sup>®</sup>) using FDA Adverse Event Reporting System (FAERS) data to identify potential safety risks and support clinical use. FAERS data from Q1 2014 to Q1 2024 were analyzed. Adverse drug events (ADEs) related to vedolizumab were extracted and evaluated using four signal detection. Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM). Analysis included 50,852 reports identifying vedolizumab as the primary suspected drug. At the system organ class (SOC) level, it was significantly associated with gastrointestinal disorders, pregnancy-related conditions, infections, and procedural complications. Using all four algorithms, 103 adverse event (AE) signals were detected, with venous access complications, urgency of defecation, and fistulas being most common. Notable AEs absent from the drug label were also identified. This study underscores certain safety risks of vedolizumab, particularly gastrointestinal reactions and infections, providing valuable evidence for clinical decision-making and future research.

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Publication Details

Journal
Scientific Reports
Published
2025-10-28
DOI
https://doi.org/10.1038/s41598-025-21609-y
Primary Topic
Pharmacovigilance and Adverse Drug Reactions
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article
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article

Pharmacovigilance study of adverse events of vedolizumab based on the FAERS database

Zhaowei Shan, Guanghui Yuan, Yi Xu, Jie Liu
Scientific Reports
Pharmacovigilance and Adverse Drug Reactions
article

Pharmacovigilance study of adverse events of vedolizumab based on the FAERS database

Zhaowei Shan, Guanghui Yuan, Yi Xu, Jie Liu
article en

Abstract

This study aims to assess the adverse event profile of vedolizumab (Entyvio<sup>®</sup>) using FDA Adverse Event Reporting System (FAERS) data to identify potential safety risks and support clinical use. FAERS data from Q1 2014 to Q1 2024 were analyzed. Adverse drug events (ADEs) related to vedolizumab were extracted and evaluated using four signal detection. Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM). Analysis included 50,852 reports identifying vedolizumab as the primary suspected drug. At the system organ class (SOC) level, it was significantly associated with gastrointestinal disorders, pregnancy-related conditions, infections, and procedural complications. Using all four algorithms, 103 adverse event (AE) signals were detected, with venous access complications, urgency of defecation, and fistulas being most common. Notable AEs absent from the drug label were also identified. This study underscores certain safety risks of vedolizumab, particularly gastrointestinal reactions and infections, providing valuable evidence for clinical decision-making and future research.

Scientific ReportsVol. 15(1)
Nanjing University of Chinese Medicine (CN), Community Health Center (US)
Openalex Percentile: Top 70%
Pharmacovigilance and Adverse Drug Reactions
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