Li Jie, Xie Jun, Han Yi, Zhang Wei, Wang Yilei, Jiang Zhitao
Department of Pharmacy, Zhangjiagang TCM Hospital, Affiliated to Nanjing University of Chinese Medicine, Zhangjiagang, Jiangsu 215600, China.
Department of Pharmacy, Taicang TCM Hospital, Affiliated to Nanjing University of Chinese Medicine, Taicang, Jiangsu 215400, China.
Endocr J. 2025 Mar 3;72(3):273-283. doi: 10.1507/endocrj.EJ24-0286. Epub 2024 Nov 27.
Tirzepatide is a novel drug for the treatment of type 2 diabetes mellitus and chronic weight management, and there is an urgent need to explore its safety profile. The FDA Adverse Event Reporting System (FAERS) database provides a reliable pathway for adverse event (AE) disproportionality analysis. Data regarding AEs registered in the FAERS between Q2 2022 and Q4 2023 were collected for this study. The reporting odds ratio (ROR) method was applied to analyse the association between tirzepatide use and the risk of developing AEs. The occurrence of ≥3 AEs with an ROR value 95% confidence interval (CI) lower limit >1 was considered to indicate statistical significance. Data on 638,153 AEs were collected from the FAERS database, and tirzepatide use was implicated for 8,096 of those AEs. A total of 98 preferred terms (PTs) were detected as positive signals for tirzepatide use. Frequently observed expected AEs included injection site pain, nausea, injection site haemorrhage, diarrhoea, and vomiting. Some unexpected AEs that were frequently observed included incorrect doses, off-label use, the administration of extra doses, an inappropriate schedule of product administration, and increased blood glucose. In this study, we identified potential novel and unexpected AE signals associated with tirzepatide use. Our findings confirm the importance of real-world disproportionality analysis in identifying the safety profile of new drugs, ultimately contributing to the safe clinical application of tirzepatide.
替尔泊肽是一种用于治疗2型糖尿病和慢性体重管理的新型药物,迫切需要探索其安全性。美国食品药品监督管理局不良事件报告系统(FAERS)数据库为不良事件(AE)的不成比例分析提供了可靠途径。本研究收集了2022年第二季度至2023年第四季度在FAERS中登记的AE数据。采用报告比值比(ROR)方法分析替尔泊肽使用与发生AE风险之间的关联。ROR值95%置信区间(CI)下限>1的≥3种AE的发生被认为具有统计学意义。从FAERS数据库收集了638,153例AE的数据,其中8,096例AE与替尔泊肽使用有关。共检测到98个首选术语(PT)作为替尔泊肽使用的阳性信号。经常观察到的预期AE包括注射部位疼痛、恶心、注射部位出血、腹泻和呕吐。一些经常观察到的意外AE包括剂量错误、超说明书用药、额外剂量给药、产品给药时间表不当以及血糖升高。在本研究中,我们确定了与替尔泊肽使用相关的潜在新的和意外的AE信号。我们的研究结果证实了真实世界的不成比例分析在确定新药安全性方面的重要性,最终有助于替尔泊肽的安全临床应用。