Liu Feng, Zheng Jing-Xuan, Wu Xiao-Dan
Department of Anesthesiology, Shengli Clinical Medical College, Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China.
Front Pharmacol. 2024 Jul 2;15:1365706. doi: 10.3389/fphar.2024.1365706. eCollection 2024.
Adverse events associated with dexmedetomidine were analyzed using data from the FDA's FAERS database, spanning from 2004 to the third quarter of 2023. This analysis serves as a foundation for monitoring dexmedetomidine's safety in clinical applications.
Data on adverse events associated with dexmedetomidine were standardized and analyzed to identify clinical adverse events closely linked to its use. This analysis employed various signal quantification analysis algorithms, including Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS).
In the FAERS database, dexmedetomidine was identified as the primary suspect in 1,910 adverse events. Our analysis encompassed 26 organ system levels, from which we selected 346 relevant Preferred Terms (PTs) for further examination. Notably, adverse drug reactions such as diabetes insipidus, abnormal transcranial electrical motor evoked potential monitoring, acute motor axonal neuropathy, and trigeminal cardiac reflex were identified. These reactions are not explicitly mentioned in the drug's specification, indicating the emergence of new signals for adverse drug reactions.
Data mining in the FAERS database has elucidated the characteristics of dexmedetomidine-related adverse drug reactions. This analysis enhances our understanding of dexmedetomidine's drug safety, aids in the clinical management of pharmacovigilance studies, and offers valuable insights for refining drug-use protocols.
利用美国食品药品监督管理局(FDA)不良事件报告系统(FAERS)数据库中2004年至2023年第三季度的数据,分析与右美托咪定相关的不良事件。该分析为监测右美托咪定在临床应用中的安全性奠定了基础。
对与右美托咪定相关的不良事件数据进行标准化和分析,以确定与其使用密切相关的临床不良事件。该分析采用了多种信号量化分析算法,包括报告比值比(ROR)、比例报告比值比(PRR)、贝叶斯置信传播神经网络(BCPNN)和多项目伽马泊松收缩器(MGPS)。
在FAERS数据库中,右美托咪定被确定为1910起不良事件的主要可疑药物。我们的分析涵盖了26个器官系统层面,从中选择了346个相关的首选术语(PTs)进行进一步检查。值得注意的是,发现了诸如尿崩症、经颅电运动诱发电位监测异常、急性运动轴索性神经病和三叉神经心脏反射等药物不良反应。这些反应在药品说明书中未明确提及,表明出现了新的药物不良反应信号。
对FAERS数据库的数据挖掘阐明了右美托咪定相关药物不良反应的特征。该分析加深了我们对右美托咪定药物安全性的理解,有助于药物警戒研究的临床管理,并为完善用药方案提供了有价值的见解。