Citation

Mason CL, Leedale J, Tasoulis S, Jarman I, Antoine DJ, Webb SD. CPT Pharmacometrics Syst. Pharmacol. 2018; 7(6): 394-403.

Affiliation

Department of Applied Mathematics, Liverpool John Moores University, Liverpool, UK.

Copyright

(Copyright © 2018, John Wiley and Sons)

DOI

10.1002/psp4.12298

PMID

29667370

Abstract

Paracetamol (acetaminophen (APAP)) is one of the most commonly used analgesics in the United Kingdom and the United States. However, exceeding the maximum recommended dose can cause serious liver injury and even death. Promising APAP toxicity biomarkers are thought to add value to those used currently and clarification of the functional relationships between these biomarkers and liver injury would aid clinical implementation of an improved APAP toxicity identification framework. The framework currently used to define an APAP overdose is highly dependent upon time since ingestion and initial dose; information that is often highly unpredictable. A pharmacokinetic/pharmacodynamic (PK/PD) APAP model has been built in order to understand the relationships between a panel of biomarkers and APAP dose. Visualization and statistical tools have been used to predict initial APAP dose and time since administration. Additionally, logistic regression analysis has been applied to histology data to provide a prediction of the probability of liver injury.

© 2018 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics.

Language: en