药物警戒
不良事件报告系统
医学
磺胺吡啶
不利影响
数据库
药理学
内科学
疾病
溃疡性结肠炎
计算机科学
作者
Dandan Guo,Bufu Tang,Peng Luo,Jian Zhang,Lvdan Deng,Shuai Fu,Zhijun Shen,Qing Li,Zhao Xie,Na Hang,Hongjie Fan,Ling Wang
标识
DOI:10.1080/14740338.2025.2488241
摘要
The purpose of this study was to use the FDA Adverse Event Reporting System (FAERS) to detect and identify adverse events (AEs) related to sulfasalazine to provide a reference for clinical use. Four algorithms (ROR, PRR, BCPNN and EBGM) were used to detect sulfasalazine-correlated AE signals in real data to calculate the signals associated with sulfasalazine-related AEs. During the study period, FAERS was used to extract a total of 91,509 sulfasalazine-related(SASP-related) adverse event reports. In total, 6830 sulfasalazine adverse event signals were found, involving 23 organ systems. The analysis revealed several common adverse reactions; the most common were dizziness, malaise, asthenia, decreased appetite, rash, and anemia, and these adverse reactions are listed on the warning label for sulfasalazine. It is worth noting that in our study, in the preferred term (PT), we also found some reactions that were not mentioned on the warning label, such as blurred vision and cardiac failure. This study revealed potential new AEs resulting from sulfasalazine, and further studies are needed to confirm these new AEs.
科研通智能强力驱动
Strongly Powered by AbleSci AI