Abstract
Introduction
Drug-induced liver injury is a significant health issue, yet the exposure-based incidence remains to be characterized.
Objective
We aimed to assess the frequency, phenotypes, and outcomes of acute liver injury associated with amoxicillin/clavulanate using a large electronic health record system.
Methods
Using the Veterans Health Administration electronic health record system, we developed the framework to identify unexplained acute liver injury, defined by alanine aminotransferase and/or alkaline phosphatase elevation temporally linked to prescription records of amoxicillin/clavulanate, a major culprit of clinically significant drug-induced liver injury, excluding other competing causes. The population was subcategorized by pre-existing liver conditions and inpatient status at the time of exposure for the analysis.
Results
Among 1,445,171 amoxicillin/clavulanate first exposures in unique individuals [92% men; mean age (standard deviation): 59 (15) years], 6476 (incidence: 0.448%) acute liver injuries were identified. Of these, 4427 (65%) had alternative causes, yielding 2249 (incidence: 0.156%) with unexplained acute liver injuries. The incidence of unexplained acute liver injury was lowest in outpatients without underlying liver disease (0.067%) and highest in inpatients with pre-existing liver conditions (0.719%). Older age, male sex, and American Indian or Alaska Native (vs White) were associated with a higher incidence of unexplained acute liver injury. Cholestatic injury affected 74%, exhibiting a higher frequency with advanced age, inpatient exposure, and pre-existing liver conditions. Hepatocellular injury with bilirubin elevation affected 0.003%, with a higher risk at age >45 years. During a 12-month follow-up, patients with unexplained acute liver injury had a higher adjusted overall mortality risk than those without evident acute liver injury.
Conclusions
This framework identifies unexplained acute liver injury following drug exposure in large electronic health record datasets. After validating in other systems, this framework can aid in deducing drug-induced liver injury in the general patient population and regulatory decision making to promote drug safety and public health.
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Acknowledgements
The authors thank Drs. Teresa Hudson (Central Arkansas Veterans Healthcare System, Little Rock, AR, USA), Susan Theus (Memphis VA, Memphis, TN, USA), and Dawn Provenzale (in memoriam: VA Cooperative Studies Program Epidemiology Center (CSPEC)-Durham, Durham, NC, USA) for their administrative support, Ms. Kate Dishongh (Central Arkansas Veterans Healthcare System, Little Rock, AR, USA) and Mrs. Marsha Turner (CSPEC, Durham, NC, USA) for their contribution to research coordination and assistance for regulatory oversight, and Andrew Thompson Jr, MS (Statistician, VA CSPEC-Durham, Durham, NC, USA) and Thomas S Redding IV, MS (Statistician, VA CSPEC-Durham, Durham, NC, USA) for their coding advice.
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The present study was supported by grants of the HSR&D VA Merit Review Award Pilot Project Program (PPO 15-155: 2016-2017). This work was also partly supported with resources and the use of facilities at the Durham VA Medical Center, the Center of Innovation for Health Services and Research in Primary Care (CIN 13‐410), and Cooperative Studies Program Epidemiology Center (CSPEC) at the Durham VA Medical Center, and the Division of Gastroenterology, Duke University.
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The authors have no conflicts of interest that are directly relevant to the content of this study.
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The study was approved by the Institutional Review Board and the Research and Development Committee of Central Arkansas Veterans Healthcare System (FWA: 00002261) and Durham Veterans Affairs Health Care System (FWA:00001600).
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The Institutional Review Boards at the Central Arkansas Veterans Healthcare System and Durham Veterans Affairs Health Care System determined that this study met exempt human subjects research criteria Category 4 (i.e., use of existing data) and an informed consent form is not applicable.
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The US Department of Veterans Affairs (VA) places legal restrictions on access to veteran’s healthcare data, which includes both identifying data and sensitive patient information. The analytic data sets used for this study are not permitted to leave the VA firewall without a Data Use Agreement, per VA privacy and data security policies and regulatory constraints. This limitation is consistent with other studies based on VA data. However, VA data are made freely available to researchers behind the VA firewall with an approved VA study protocol. For more information, please visit https://www.virec.research.va.gov or contact the VA Information Resource Center at vog.av@CeRIV.
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Coding strategies used in this study are available upon request.
Authors’ contributions
Conceptualization: AS, CMH, HT, FP, GPA, MIL, RJA, WT; data curation: JW, RGH; analysis: AS, JW; coding/code validation: JF, MS; funding acquisition: AS; methodology: AS, CMH, HT, JW, RGH, FP; project administration: AS, CMH; supervision: AS; validation: AS, MS; writing original draft: AS; writing, review and editing: AS, HT, JW, RGH, JF, MS, FP, GPA, MIL, RJA, WT, CMH. The corresponding author attests that all listed authors meet authorship criteria and that no others meeting the criteria have been omitted. The corresponding author further affirms that the article is an honest, accurate, and transparent account of the study. All the authors and acknowledged individuals in the paper read and approved the final version.
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Suzuki, A., Tillmann, H., Williams, J. et al. Assessment of the Frequency, Phenotypes, and Outcomes of Acute Liver Injury Associated with Amoxicillin/Clavulanate in 1.4 Million Patients in the Veterans Health Administration. Drug Saf 46, 129–143 (2023). https://doi.org/10.1007/s40264-022-01255-3
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DOI: https://doi.org/10.1007/s40264-022-01255-3