Year: 2025
Type: article
Abstract: ) 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.
Source: Scientific Reports
Authors: Guanghui Yuan, Jie Liu, Yi Xu, Zhaowei Shan
Institution: Nanjing University of Chinese Medicine
Language: English
Subfield: Toxicology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,690
OpenAlex ID: W4415619567