Signal Detection of Potential Hepatotoxic Drugs: Case-Control Study Using Both a Spontaneous Reporting System and Electronic Medical Records

被引:10
|
作者
Akimoto, Hayato [1 ]
Nagashima, Takuya [1 ]
Minagawa, Kimino [2 ]
Hayakawa, Takashi [1 ]
Takahashi, Yasuo [2 ]
Asai, Satoshi [1 ]
机构
[1] Nihon Univ, Sch Med, Dept Biomed Sci, Div Pharmacol,Itabashi Ku, 30-1 Oyaguchi Kamicho, Tokyo 1738610, Japan
[2] Nihon Univ, Clin Trials Res Ctr, Sch Med, Div Genom Epidemiol & Clin Trials,Itabashi Ku, 30-1 Oyaguchi Kamicho, Tokyo 1738610, Japan
关键词
drug-induced liver injury; hepatotoxicity; signal detection; case-control study; electronic medical record; Japanese Adverse Event Report Database (JADER); INDUCED LIVER-INJURY; POPULATION; THERAPY; IMPACT; EVENT; DATABASES; CHILDREN; OUTCOMES; EXAMPLE; RATIOS;
D O I
10.1248/bpb.b21-00407
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Drug-induced liver injury (DILI) is a common adverse drug event. Spontaneous reporting systems such as the Japanese Adverse Event Report Database (JADER) have been used to evaluate the association between drugs and adverse drug events. However, the association of drugs with adverse drug events may be overestimated due to reporting biases. Therefore, it is important to objectively evaluate the association using liver function test values. The aim of the present study was to predict potential hepatotoxic drugs using real-world data including electronic medical records and the JADER database. A total of 70009 (2779 with DILI and 67230 without DILI) and 438515 (10235 with DILI and 428280 without DILI) Japanese adult patients were extracted from electronic medical records and the JADER database, respectively. Drugs with >= 100 DILI patients in both of the two databases were regarded as suspected drugs for DILL We used multivariate logistic regression to evaluate the association between the suspected drugs and increased risk of DILI. Among the suspected drugs, broad-spectrum antibiotics such as meropenem, tazobactam/piperacillin and ceftriaxone were signilicantly associated with an increased risk of DILI, and meropenem had a greater risk of DELI in both of the two databases. Additionally, there were significant associations of mosapride and L-carbocisteine with increased risk of DILL In addition to well-known associations between antibiotic drugs and DILL mosapride and L-carbocisteine were found to be new potential signals of drugs causing hepatotoxicity. This study indicates potential hepatotoxic drugs that require further causality assessment.
引用
收藏
页码:1514 / 1523
页数:10
相关论文
共 50 条
  • [1] A Case-Control Study of Pediatric Falls Using Electronic Medical Records
    Messmer, Patricia Ruth
    Williams, Phoebe D.
    Williams, Arthur R.
    REHABILITATION NURSING, 2013, 38 (02) : 73 - 79
  • [2] Contribution of Patient Reporting by Phone Call to Spontaneous Reporting and Signal Detection: Case of Antimalarial Drugs
    Lula, N. Y.
    Ntamabyaliro, N. P.
    Liwono, Y. J.
    Mesia, K. G.
    Nsibu, N. C.
    Tona, L. G.
    DRUG SAFETY, 2013, 36 (09) : 876 - 876
  • [3] Evaluating performance of electronic healthcare records and spontaneous reporting data in drug safety signal detection
    Patadia, Vaishali K.
    Schuemie, Martijn J.
    Coloma, Preciosa
    Herings, Ron
    van der Lei, Johan
    Straus, Sabine
    Sturkenboom, Miriam
    Trifiro, Gianluca
    INTERNATIONAL JOURNAL OF CLINICAL PHARMACY, 2015, 37 (01) : 94 - 104
  • [4] Evaluating performance of electronic healthcare records and spontaneous reporting data in drug safety signal detection
    Vaishali K. Patadia
    Martijn J. Schuemie
    Preciosa Coloma
    Ron Herings
    Johan van der Lei
    Sabine Straus
    Miriam Sturkenboom
    Gianluca Trifirò
    International Journal of Clinical Pharmacy, 2015, 37 : 94 - 104
  • [5] Using electronic medical records to enhance detection and reporting of vaccine adverse events
    Hinrichsen, Virginia L.
    Kruskal, Benjamin
    O'Brien, Megan A.
    Lieu, Tracy A.
    Platt, Richard
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2007, 14 (06) : 731 - 735
  • [6] Comparisons of Fall Prevention Activities Using Electronic Nursing Records: A Case-Control Study
    Jung, Hyesil
    Park, Hyeoun-Ae
    Lee, Ho-Young
    JOURNAL OF PATIENT SAFETY, 2022, 18 (03) : 145 - 151
  • [7] Risk assessment of micafungin-induced liver injury using spontaneous reporting system data and electronic medical records
    Asai, Yuki
    Yamamoto, Takanori
    Sato, Yoshiharu
    JOURNAL OF INFECTION AND CHEMOTHERAPY, 2022, 28 (05) : 690 - 695
  • [8] Predicting Inpatient Falls Using Natural Language Processing of Nursing Records Obtained From Japanese Electronic Medical Records: Case-Control Study
    Nakatani, Hayao
    Nakao, Masatoshi
    Uchiyama, Hidefumi
    Toyoshiba, Hiroyoshi
    Ochiai, Chikayuki
    JMIR MEDICAL INFORMATICS, 2020, 8 (04)
  • [9] Identifying potential drugs that induce QT prolongation using electronic medical records
    Liu, Mei
    Denny, Joshua C.
    Mani, Subramani
    Chen, Yukun
    Hu, Yong
    Xu, Hua
    BMC BIOINFORMATICS, 2010, 11
  • [10] Identifying potential drugs that induce QT prolongation using electronic medical records
    Mei Liu
    Joshua C Denny
    Subramani Mani
    Yukun Chen
    Yong Hu
    Hua Xu
    BMC Bioinformatics, 11