Kim Tae Hyeon, Park Jaeyu, Jo Hyesu, Oh Jeongseon, Lee Kyeongmin, Oh Jiyeon, Lee Hayeon, Smith Lee, López Sánchez Guillermo F, Hwang Yerin, Yon Dong Keon
Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Clin Exp Allergy. 2025 Jul;55(7):541-551. doi: 10.1111/cea.70092. Epub 2025 Jun 8.
Drug-associated anaphylaxis is a common condition with significant risks if not promptly addressed. Yet, systematic research on the distribution of associated drugs and risk comparison across drug classes is limited. This study aims to identify frequently reported drugs and evaluate the strength of their signal detections with drug-associated anaphylaxis.
This study employed a global pharmacovigilance database to identify reports of drug-associated anaphylaxis. Reports classified as anaphylaxis were analysed using the drug record number used in global pharmacovigilance database, leading to the identification of 15 frequently associated drugs. A disproportionality analysis was conducted to estimate signal detections between these selected drugs and anaphylaxis, utilising two metrics: the information component (IC) with a threshold of IC and the reporting odds ratio (ROR) with 95% confidence intervals (CI). To account for the acute onset of anaphylaxis, a sensitivity analysis focused on reports with a time to onset of less than a day.
We identified 15 drugs frequently associated with anaphylaxis, with diclofenac recording the highest number of reports at 34,413. The drug indicating the strongest signal detection with anaphylaxis was cefuroxime (ROR, 40.89 [95% CI, 40.18-41.61]; IC, 5.14 [IC, 5.11]), followed by levofloxacin, ibuprofen, COVID-19 vaccine, ceftriaxone, lidocaine, omalizumab, cefuroxime, benzylpenicillin, clindamycin, amoxicillin/clavulanate, cefazolin, ciprofloxacin, metronidazole, and paclitaxel. Sensitivity analysis indicated that the signal detection between the COVID-19 vaccine and anaphylaxis was stronger than in the primary analysis (ROR, 2.49 [95% CI, 2.45-2.53]; IC, 1.23 [IC, 1.21]). While most drugs reported that the majority of drug-associated anaphylaxis reports occurred within 2.5 h, omalizumab was often associated with reactions occurring after 24 h.
All drugs frequently reported in association with anaphylaxis indicated a significant signal detection, but the strength of these signal detections did not align with the number of reports. Time-to-onset analysis showed distinct patterns for certain drugs, suggesting different mechanisms of anaphylaxis. Due to the limitations of spontaneous reporting databases with disproportionality analysis, our findings do not permit for causal inference.
药物相关性过敏反应是一种常见病症,若不及时处理会有重大风险。然而,关于相关药物分布及不同药物类别风险比较的系统性研究有限。本研究旨在识别经常报告的药物,并评估它们与药物相关性过敏反应的信号检测强度。
本研究利用一个全球药物警戒数据库来识别药物相关性过敏反应的报告。使用全球药物警戒数据库中的药物记录编号对分类为过敏反应的报告进行分析,从而识别出15种经常相关的药物。进行了不成比例分析,以利用两个指标估计这些选定药物与过敏反应之间的信号检测:信息成分(IC),阈值为IC;报告比值比(ROR),95%置信区间(CI)。为考虑过敏反应的急性发作,敏感性分析聚焦于发病时间少于一天的报告。
我们识别出15种经常与过敏反应相关的药物,双氯芬酸报告数量最多,为34413例。与过敏反应信号检测最强的药物是头孢呋辛(ROR,40.89 [95% CI,40.18 - 41.61];IC,5.14 [IC,5.11]),其次是左氧氟沙星、布洛芬、新冠疫苗、头孢曲松钠、利多卡因、奥马珠单抗、头孢呋辛、苄星青霉素、克林霉素、阿莫西林/克拉维酸、头孢唑林、环丙沙星、甲硝唑和紫杉醇。敏感性分析表明,新冠疫苗与过敏反应之间的信号检测比初步分析更强(ROR,2.49 [95% CI,2.45 - 2.53];IC,1.23 [IC,1.21])。虽然大多数药物报告称大多数药物相关性过敏反应报告发生在2.5小时内,但奥马珠单抗常与24小时后发生的反应相关。
所有经常报告与过敏反应相关的药物都显示出显著的信号检测,但这些信号检测的强度与报告数量不一致。发病时间分析显示某些药物有不同模式,提示过敏反应的不同机制。由于自发报告数据库进行不成比例分析存在局限性,我们的研究结果不允许进行因果推断。