Literature DB >> 23258383

Characterizing phenotypes and outcomes of drug-associated liver injury using electronic medical record data.

Janet Shin1, Christine M Hunt, Ayako Suzuki, Julie I Papay, Kathleen J Beach, T Craig Cheetham.   

Abstract

PURPOSE: To evaluate the incidence, phenotypes, and outcomes of drug-associated liver injury identified in electronic medical record (EMR) data using standardized criteria for drug-induced liver injury (DILI).
METHODS: This retrospective cohort study used EMR data from a large integrated healthcare system. Study inclusion required 18 years of age or older, ≥1 prescription fill for any of 14 medications associated with hepatotoxicity between 1 January 2003 and 30 June 2009, and ≥12 months of membership prior to the drug exposure. Patients with underlying non-drug causes of liver injury were excluded to minimize capture of liver injury events unrelated to drugs. Drug-associated liver injuries were identified by liver chemistry elevations temporally associated with drug use based on standardized criteria for DILI. Cases were classified by clinical pattern and severity. Outcomes of liver transplant and all-cause and liver-related death were examined.
RESULTS: A total of 1 053 979 drug exposures were identified in 601 125 patients. We identified 265 drug-associated liver injuries (32.8 per 100 000 persons) occurring in 250 patients. Isoniazid exhibited the highest incidence rate of 606 per 100 000 persons. Of the 265 cases, 41% were mild; 12% exhibited moderate drug-associated liver injury (with concomitant ALT ≥ 5× ULN and bilirubin ≥2× ULN); and 17% exhibited coagulopathy, ascites, encephalopathy, or other organ failure. Last, seven cases (3%) were associated with death, and there were no liver transplants.
CONCLUSIONS: Study results align with earlier prospective studies, supporting the value of standardized methodology to identify drug-associated liver injury in the EMR. These methods can potentially enhance safety and clinical outcomes.
Copyright © 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 23258383     DOI: 10.1002/pds.3388

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  9 in total

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Authors:  Nancy D Lin; Heather Norman; Arie Regev; David G Perahia; Hu Li; Curtis Liming Chang; David D Dore
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2.  Screening of anticancer drugs to detect drug-induced interstitial pneumonia using the accumulated data in the electronic medical record.

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3.  Risk of Acute Liver Injury in Agomelatine and Other Antidepressant Users in Four European Countries: A Cohort and Nested Case-Control Study Using Automated Health Data Sources.

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Journal:  CNS Drugs       Date:  2019-04       Impact factor: 5.749

4.  Validity of ICD-9 and ICD-10 codes used to identify acute liver injury: A study in three European data sources.

Authors:  Joan Forns; Miguel Cainzos-Achirica; Maja Hellfritzsch; Rosa Morros; Beatriz Poblador-Plou; Jesper Hallas; Maria Giner-Soriano; Alexandra Prados-Torres; Anton Pottegård; Jordi Cortés; Jordi Castellsagué; Emmanuelle Jacquot; Nicolas Deltour; Susana Perez-Gutthann; Manel Pladevall
Journal:  Pharmacoepidemiol Drug Saf       Date:  2019-06-06       Impact factor: 2.890

Review 5.  Future Directions of Pharmacovigilance Studies Using Electronic Medical Recording and Human Genetic Databases.

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Journal:  Toxicol Res       Date:  2019-10-15

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Journal:  Front Pharmacol       Date:  2019-07-29       Impact factor: 5.810

7.  Optimising case detection within UK electronic health records: use of multiple linked databases for detecting liver injury.

Authors:  Kevin Wing; Krishnan Bhaskaran; Liam Smeeth; Tjeerd P van Staa; Olaf H Klungel; Robert F Reynolds; Ian Douglas
Journal:  BMJ Open       Date:  2016-09-02       Impact factor: 2.692

8.  Quantification of the risk of liver injury associated with flucloxacillin: a UK population-based cohort study.

Authors:  Kevin Wing; Krishnan Bhaskaran; Louise Pealing; Adrian Root; Liam Smeeth; Tjeerd P van Staa; Olaf H Klungel; Robert F Reynolds; Ian Douglas
Journal:  J Antimicrob Chemother       Date:  2017-09-01       Impact factor: 5.790

9.  Active Pharmacovigilance of Drug-Induced Liver Injury Using Electronic Health Records.

Authors:  Sang Heon Kim
Journal:  Allergy Asthma Immunol Res       Date:  2020-05       Impact factor: 5.764

  9 in total

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