Zhou Zhengxi, Yao Xiaotian
Department of Urology, Ningbo Mingzhou Hospital, Zhejiang, China.
The Division of Nephrology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Heliyon. 2024 Jun 19;10(12):e33306. doi: 10.1016/j.heliyon.2024.e33306. eCollection 2024 Jun 30.
Dapagliflozin possesses the capacity to cure a wide range of diseases, however, there are many adverse events (AEs) that have not yet been acknowledged or recorded.
Safety assessment of dapagliflozin based on the Food and Drug Administration Adverse Event Reporting System (FAERS) database, to explore differences between the reported AEs to provide a overview of the safety profile of dapagliflozin.
We extracted data from the United States FAERS database, including from the fourth quarter of 2012 to the third quarter of 2023. Reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and empirical Bayesian geometric average (EBGM) were used to evaluate the relationship between dapagliflozin and its associated AEs.
A total of 13,593,946 case reports were gathered from the Food and Drug Administration Adverse Event Reporting System database for this investigation. Among these, there were 44,506 episodes of adverse events that were associated with dapagliflozin. Included in the analysis were 341 preferred words and 2 system organ classes that showed statistical significance according to all four methods simultaneously. The system organ classes encompassed illnesses related to metabolism and nutrition, as well as problems affecting the renal and urinary systems. PT levels were screened for adverse drug reaction signals including scrotal gangrene, scrotal cellulitis, perineal cellulitis, diabetic ketoacidosis, and pancreatitis.
The majority of our findings aligned with the specification, however, certain novel indicators of AEs such as acute pancreatitis were not accounted for. The analysis of the AE signals may provide support for clinical monitoring and risk identification of dapagliflozin. Due to the inherent limitations of FAERS data, well-designed studies are required to demonstrate the safety of dapagliflozin.
达格列净具有治疗多种疾病的能力,然而,仍有许多不良事件(AE)尚未得到确认或记录。
基于美国食品药品监督管理局不良事件报告系统(FAERS)数据库对达格列净进行安全性评估,探讨报告的不良事件之间的差异,以概述达格列净的安全性概况。
我们从美国FAERS数据库中提取了2012年第四季度至2023年第三季度的数据。采用报告比值比(ROR)、比例报告比值比(PRR)、贝叶斯置信传播神经网络(BCPNN)和经验贝叶斯几何均值(EBGM)来评估达格列净与其相关不良事件之间的关系。
本次调查从食品药品监督管理局不良事件报告系统数据库中收集了总共13,593,946份病例报告。其中,有44,506例不良事件与达格列净相关。分析包括341个首选术语和2个系统器官类别,这2个系统器官类别根据所有四种方法同时显示出统计学意义。系统器官类别包括与代谢和营养相关的疾病,以及影响肾脏和泌尿系统的问题。对PT水平进行了筛选,以查找包括阴囊坏疽、阴囊蜂窝织炎、会阴蜂窝织炎、糖尿病酮症酸中毒和胰腺炎在内的药物不良反应信号。
我们的大多数发现与说明书一致,然而,某些新的不良事件指标,如急性胰腺炎,并未得到考虑。对不良事件信号的分析可为达格列净的临床监测和风险识别提供支持。由于FAERS数据存在固有局限性,需要设计完善的研究来证明达格列净的安全性。