Drug-induced hypoglycemia: a disproportionality analysis of the FAERS database

被引:6
|
作者
Li, Jie [1 ]
Wang, Yilei [2 ]
Yang, Xiang [1 ]
Zhu, Haohao [3 ]
Jiang, Zhitao [1 ,4 ]
机构
[1] Nanjing Univ Chinese Med, Zhangjiagang TCM Hosp, Zhangjiagang, Jiangsu, Peoples R China
[2] Nanjing Univ Chinese Med, Taicang, Jiangsu, Peoples R China
[3] Jiangnan Univ, Wuxi Cent Rehabil Hosp, Dept Pharm, Affiliated Mental Hlth Ctr, Wuxi, Jiangsu, Peoples R China
[4] Nanjing Univ Chinese Med, Zhangjiagang TCM Hosp, Dept Pharm, Zhangjiagang 215600, Jiangsu, Peoples R China
关键词
Hypoglycemia; FAERS; disproportionality analysis; pharmacovigilance; GUIDELINES; FREQUENCY; MORTALITY; EVENTS;
D O I
10.1080/14740338.2023.2278700
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
BackgroundHypoglycemia is an adverse event (AE) that cannot be ignored in clinical practice. This study aimed to identify the most common and top drugs associated with the risk of hypoglycemia based on the United States Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database.Research design and methodsWe used OpenVigil 2.1 pharmacovigilance analytics platform to query FAERS database and data from 2004 to 2023 were retrieved. The Medical Dictionary for Regulatory Activities (MedDRA) was used to identify hypoglycemia cases, and DrugBank database was used to determine drug generic names.ResultsA total of 11,155,106 AEs reports were identified, of which 28,443 (0.25%) were related to hypoglycemia. Metformin (6926 cases) was associated with most cases of hypoglycemia. According to the disproportionality analysis, the top five drugs with the highest ROR and PRR were penamecillin, nikethamide, sotagliflozin, norethandrolone, glimepiride/pioglitazone. Nineteen of the top 50 drugs did not have hypoglycemia indicated in the package insert.ConclusionsBy analyzing the FAERS database, we listed drugs with a strong hypoglycemic signal for which the label does not provide a reminder. Notably, the potential hypoglycemia risks are of great importance and should be closely monitored in medical practice.
引用
收藏
页码:1061 / 1067
页数:7
相关论文
共 50 条
  • [41] Drug-Induced Dental Caries: A Disproportionality Analysis Using Data from VigiBase
    de Campaigno, Emilie Patras
    Kebir, Ines
    Montastruc, Jean-Louis
    Rueter, Manuela
    Maret, Delphine
    Lapeyre-Mestre, Maryse
    Sallerin, Brigitte
    Despas, Fabien
    DRUG SAFETY, 2017, 40 (12) : 1249 - 1258
  • [42] Drug-induced skin ulcer: a disproportionality analysis using data from VigiBase®
    Duron, D.
    Khouri, C.
    Blaise, S.
    Cracowski, J. L.
    Roustit, M.
    FUNDAMENTAL & CLINICAL PHARMACOLOGY, 2018, 32 : 77 - 77
  • [43] Drug-Induced Dental Caries: A Disproportionality Analysis Using Data from VigiBase
    Emilie Patras de Campaigno
    Inès Kebir
    Jean-Louis Montastruc
    Manuela Rueter
    Delphine Maret
    Maryse Lapeyre-Mestre
    Brigitte Sallerin
    Fabien Despas
    Drug Safety, 2017, 40 : 1249 - 1258
  • [44] Fatal outcome related to drug reaction with eosinophilia and systemic symptoms: a disproportionality analysis of FAERS database and a systematic review of cases
    Liang, Chunsu
    An, Pengjiao
    Zhang, Yizhou
    Liu, Xin
    Zhang, Bo
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [45] Pancreatitis Associated With Teduglutide: A Disproportionality Analysis via the Food and Drug Administration Adverse Event Reporting System (FAERS) Database
    Gu, Joyce H.
    Sheingold, Zachary
    Samarneh, Mark
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (08)
  • [46] Comparative evaluation of adverse drug reactions for tenofovir alafenamide and tenofovir disoproxil fumarate using the FAERS Database: a disproportionality analysis
    Zhu, Meng
    Jia, Lingjuan
    Wang, Yike
    Zhang, Yongsheng
    Lv, Shengxia
    EXPERT OPINION ON DRUG SAFETY, 2024,
  • [47] Gynecomastia drug-induced: analysis of the French pharmacovigilance database
    Ruffier, E.
    Muller, C.
    Lambert, A.
    Welsch, M.
    Tebacher-Alt, M.
    FUNDAMENTAL & CLINICAL PHARMACOLOGY, 2016, 30 : 40 - 40
  • [48] Real-world safety profile of zanubrutinib: a disproportionality analysis based on the FAERS database
    Wang, Jiangfeng
    Zheng, Xiaochun
    Lin, Jingyang
    Huang, Jinlong
    Zhang, Miaomiao
    Huang, Ping
    Yang, Xiuli
    BMJ OPEN, 2024, 14 (10):
  • [49] A characterization and disproportionality analysis of medication error related adverse events reported to the FAERS database
    Carnovale, Carla
    Mazhar, Faizan
    Pozzi, Marco
    Gentili, Marta
    Clementi, Emilio
    Radice, Sonia
    EXPERT OPINION ON DRUG SAFETY, 2018, 17 (12) : 1161 - 1169
  • [50] Levodopa-induced motor complications associated with benserazide and carbidopa in Parkinson's disease: a disproportionality analysis of the FAERS database
    Qiu, Huaide
    Liu, Cheng
    Wang, Zhixiang
    FRONTIERS IN PHARMACOLOGY, 2025, 16