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

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.

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Publication Details

Journal
British Journal of Clinical Pharmacology
Published
2025-11-23
DOI
https://doi.org/10.1002/bcp.70376
Primary Topic
Antibiotics Pharmacokinetics and Efficacy
Type
article
Field-Weighted Citation Impact
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article

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

Suchita E. Kumar, Lucy Cheng, Sonya Tang Girdwood, Pier Giorgio Cojutti et al.
British Journal of Clinical Pharmacology
Antibiotics Pharmacokinetics and Efficacy
article

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

Suchita E. Kumar, Lucy Cheng, Sonya Tang Girdwood, Pier Giorgio Cojutti, Federico Pea, Ronaldo Morales
article en

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.

British Journal of Clinical PharmacologyVol. 92(2)
Cincinnati Children's Hospital Medical Center (US), Emory University (US), Azienda USL di Bologna (IT), University of Cincinnati Medical Center (US), University of Bologna (IT)
Openalex Percentile: Top 61%
Antibiotics Pharmacokinetics and Efficacy
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Can a population pharmacokinetics model built on intermittent infusions accurately predict meropenem concentrations in children receiving continuous infusions? — Suchita E. Kumar, Lucy Cheng, et al. · British Journal of Clinical Pharmacology (2025) | TGRS Research Map | TGRS