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.


Journal

Drug safety
ISSN: 1179-1942
Titre abrégé: Drug Saf
Pays: New Zealand
ID NLM: 9002928

Informations de publication

Date de publication:
02 2023
Historique:
accepted: 06 11 2022
pubmed: 23 12 2022
medline: 1 2 2023
entrez: 22 12 2022
Statut: ppublish

Résumé

Drug-induced liver injury is a significant health issue, yet the exposure-based incidence remains to be characterized. We aimed to assess the frequency, phenotypes, and outcomes of acute liver injury associated with amoxicillin/clavulanate using a large electronic health record system. 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. 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. 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.

Identifiants

pubmed: 36547811
doi: 10.1007/s40264-022-01255-3
pii: 10.1007/s40264-022-01255-3
doi:

Substances chimiques

Amoxicillin-Potassium Clavulanate Combination 74469-00-4

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

129-143

Informations de copyright

© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

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Auteurs

Ayako Suzuki (A)

Gastroenterology, Durham Veterans Affairs Health Care System, Durham VA Medical Center, 40 Duke Medicine Cir, Suite DUMC 3913, Durham, NC, 27710, USA. Ayako.suzuki@duke.edu.
Gastroenterology, Duke University, Durham, NC, USA. Ayako.suzuki@duke.edu.

Hans Tillmann (H)

Specialty Clinics, Greenville VA Healthcare Center, Greenville, NC, USA.
Gastroenterology, Hepatology and Nutrition, East Carolina University, Greenville, NC, USA.

James Williams (J)

HSR&D, Central Arkansas Veterans Healthcare System, Little Rock, AR, USA.

Ronald G Hauser (RG)

Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA.
Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA.

Julie Frund (J)

Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.

Mizuki Suzuki (M)

Brody School of Medicine, East Carolina University, Greenville, NC, USA.

Fred Prior (F)

Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.

Guruprasad P Aithal (GP)

National Institute for Health Research (NIHR) Nottingham Biomedical Research Center at the Nottingham University Hospital NHS Trust and University of Nottingham, Nottingham, UK.

M Isabel Lucena (MI)

Servicio de Aparato Digestivo y Farmacología Clínica, Instituto de Investigación Biomédica de Málaga (IBIMA_Plataforma Bionand), Hospital Universitario Virgen de la Victoria, Universidad de Málaga, Malaga, Spain.
CIBERehd, Madrid, Spain.

Raúl J Andrade (RJ)

Servicio de Aparato Digestivo y Farmacología Clínica, Instituto de Investigación Biomédica de Málaga (IBIMA_Plataforma Bionand), Hospital Universitario Virgen de la Victoria, Universidad de Málaga, Malaga, Spain.
CIBERehd, Madrid, Spain.

Weida Tong (W)

Bioinformatics and Biostatistics, National Center for Toxicological Research, Jefferson, AR, USA.

Christine M Hunt (CM)

Gastroenterology, Durham Veterans Affairs Health Care System, Durham VA Medical Center, 40 Duke Medicine Cir, Suite DUMC 3913, Durham, NC, 27710, USA.
Gastroenterology, Duke University, Durham, NC, USA.
VA Cooperative Studies Program Epidemiology Center-Durham, Durham, NC, USA.

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