Pediatric drug safety signal detection of non-chemotherapy drug-induced neutropenia and agranulocytosis using electronic healthcare records

被引:5
作者
Wei, Ran [1 ]
Jia, Lu-Lu [1 ]
Yu, Yun-Cui [1 ]
Nie, Xiao-Lu [2 ]
Song, Zi-Yang [3 ]
Fan, Duan-Fang [1 ]
Xie, Yue-Feng [4 ]
Peng, Xiao-Xia [2 ]
Zhao, Zhi-Gang [5 ]
Wang, Xiao-Ling [1 ,3 ]
机构
[1] Capital Med Univ, Clin Res Ctr, Natl Ctr Childrens Hlth, Beijing Childrens Hosp, Beijing, Peoples R China
[2] Capital Med Univ, Ctr Clin Epidemiol & Evidence Based Med, Natl Ctr Childrens Hlth, Beijing Childrens Hosp, Beijing, Peoples R China
[3] Capital Med Univ, Dept Pharm, Natl Ctr Childrens Hlth, Beijing Childrens Hosp, 56 Nanlishi Rd, Beijing 100045, Peoples R China
[4] Capital Med Univ, Informat Ctr, Natl Ctr Childrens Hlth, Beijing Childrens Hosp, Beijing, Peoples R China
[5] Capital Med Univ, Dept Pharm, Beijing Tiantan Hosp, 119 Nansihuan West Rd, Beijing 100160, Peoples R China
基金
中国国家自然科学基金;
关键词
Electronic healthcare records; drug safety; signal detection; drug-induced neutropenia; drug-induced agranulocytosis; children; PHARMACOVIGILANCE; SURVEILLANCE; DATABASES; CHILDREN; EVENTS;
D O I
10.1080/14740338.2019.1604682
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Objectives: This study aimed to develop a procedure to explore the adverse drug reaction signals of drug-induced neutropenia (DIN) or drug-induced agranulocytosis (DIA) in children using an electronic health records (EHRs) database.Methods: A two-stage design was presented. First, the suspected drugs to induce DIN or DIA were selected. Second, the associations were evaluated by a retrospective cohort study.Results: Ten and five drugs were potentially identified to be associated with DIN and DIA, respectively. Finally, five (oseltamivir, chlorpheniramine, vancomycin, meropenem, and ganciclovir) and two (chlorpheniramine, and vancomycin) drugs were found to be associated with DIN and DIA, respectively. Of these, the association between oseltamivir and neutropenia (P=9.83x10(-9); OR, 2.10; 95% CI, 1.62-2.69) was considered as a new signal for both adults and children. Chlorpheniramine-induced neutropenia (P=3.01x10(-8); OR, 1.59; 95% CI, 1.35-1.87) and agranulocytosis (P=3.16x10(-7); OR, 3.76; 95% CI, 2.25-6.26) were considered as new signals in children. Other drugs associated with DIN or DIA were confirmed by previous studies.Conclusion: A method to detect signals for DIN and DIA has been described. Several pediatric drugs were found to be associated with DIN or DIA.
引用
收藏
页码:435 / 441
页数:7
相关论文
共 40 条
  • [31] EFFECTIVE TREATMENT OF DRUG-INDUCED AGRANULOCYTOSIS USING RECOMBINANT HUMAN GRANULOCYTE-COLONY-STIMULATING FACTOR IN PREGNANCY
    FUJIWAKI, R
    HATA, T
    HATA, K
    KITAO, M
    FURUYA, H
    KATOH, Y
    [J]. GYNECOLOGIC AND OBSTETRIC INVESTIGATION, 1995, 40 (04) : 276 - 277
  • [32] Drug safety signal detection in a regional healthcare database using the tree-based scan statistic and comparison to 3 other mining methods
    Li, Hailong
    Zhao, Houyu
    Lin, Hongbo
    Shen, Peng
    Zhan, Siyan
    [J]. BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, 2023, 89 (10) : 3037 - 3045
  • [33] An Automated Detection System of Drug-Drug Interactions from Electronic Patient Records Using Big Data Analytics
    Bouzille, Guillaume
    Morival, Camille
    Westerlynck, Richard
    Lemordant, Pierre
    Chazard, Emmanuel
    Lecorre, Pascal
    Busnel, Yann
    Cuggia, Marc
    [J]. MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL, 2019, 264 : 45 - 49
  • [34] Detection of Adverse Drug Reaction Signals Using an Electronic Health Records Database: Comparison of the Laboratory Extreme Abnormality Ratio (CLEAR) Algorithm
    Yoon, D.
    Park, M. Y.
    Choi, N. K.
    Park, B. J.
    Kim, J. H.
    Park, R. W.
    [J]. CLINICAL PHARMACOLOGY & THERAPEUTICS, 2012, 91 (03) : 467 - 474
  • [35] Enhancing Adverse Drug Event Detection in Electronic Health Records Using Molecular Structure Similarity: Application to Pancreatitis
    Vilar, Santiago
    Harpaz, Rave
    Santana, Lourdes
    Uriarte, Eugenio
    Friedman, Carol
    [J]. PLOS ONE, 2012, 7 (07):
  • [36] Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records
    Liu, Mei
    Hinz, Eugenia Renne McPeek
    Matheny, Michael Edwin
    Denny, Joshua C.
    Schildcrout, Jonathan Scott
    Miller, Randolph A.
    Xu, Hua
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2013, 20 (03) : 420 - 426
  • [37] Does changing healthcare use signal opportunities for earlier detection of cancer? A review of studies using information from electronic patient records
    White, Becky
    Renzi, Cristina
    Rafiq, Meena
    Abel, Gary A.
    Jensen, Henry
    Lyratzopoulos, Georgios
    [J]. CANCER EPIDEMIOLOGY, 2022, 76
  • [38] A method for controlling complex confounding effects in the detection of adverse drug reactions using electronic health records
    Li, Ying
    Salmasian, Hojjat
    Vilar, Santiago
    Chase, Herbert
    Friedman, Carol
    Wei, Ying
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2014, 21 (02) : 308 - 314
  • [39] Signal detection of oral drug-induced dementia in chronic kidney disease patients using association rule mining and Bayesian confidence propagation neural network
    Noguchi, Y.
    Nagasawa, H.
    Tachi, T.
    Tsuchiya, T.
    Teramachi, H.
    [J]. PHARMAZIE, 2019, 74 (09): : 570 - 574
  • [40] A detection algorithm for drug-induced liver injury in medical information databases using the Japanese diagnostic scale and its comparison with the Council for International Organizations of Medical Sciences/the Roussel Uclaf Causality Assessment Method scale
    Hanatani, Tadaaki
    Sai, Kimie
    Tohkin, Masahiro
    Segawa, Katsunori
    Kimura, Michio
    Hori, Katsuhito
    Kawakami, Junichi
    Saito, Yoshiro
    [J]. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2014, 23 (09) : 984 - 988