Work

Can a population pharmacokinetics model built on intermittent infusions accurately predict meropenem concentrations in children receiving continuous infusions?

Year: 2025

Type: article

Abstract: We previously developed a population pharmacokinetic (PopPK) model using data from paediatric intensive care unit patients receiving meropenem as intermittent infusions. This study assessed the predictive performance of our model in estimating steady-state concentrations of meropenem in paediatric patients receiving continuous infusions. Retrospective data from 57 patients and 163 samples were used to measure bias and precision in both population and individual meropenem concentration predictions via median prediction error (MDPE) and median absolute prediction error (MDAPE), respectively. Error metrics for population predictions were 17.0% MDPE and 33.4% MDAPE, and for individual predictions were 4.4% MDPE and 19.6%, nearly all meeting the commonly used acceptable values of 20% for bias metrics and 30% for precision. In conclusion, this meropenem PopPK model can guide initial dosing strategies and be applied for model-informed precision dosing in critically ill paediatric patients receiving meropenem as continuous infusion.

Source: British Journal of Clinical Pharmacology

DOI: 10.1002/bcp.70376

Authors: Lucy Cheng, Suchita Kumar, Pier Giorgio Cojutti, Federico Pea, Sonya Tang Girdwood, Ronaldo Morales Junior

Institutions: Cincinnati Children's Hospital Medical Center, Emory University, University of Cincinnati, University of Bologna

Language: English

Topic: Antibiotics Pharmacokinetics and Efficacy

Subfield: Pharmacology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funder: National Institute of General Medical Sciences