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Meropenem Model-Informed Precision Dosing in the Treatment of Critically Ill Patients: Can We Use It?
Letao Li1, Sebastiaan D T Sassen1,2,3, Tim M J Ewoldt1,3,4
1Department of Hospital Pharmacy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands.
Abstract:
The number of pharmacokinetic (PK) models of meropenem is increasing. However, the daily role of these PK models in the clinic remains unclear, especially for critically ill patients. Therefore, we evaluated the published meropenem models on real-world ICU data to assess their suitability for use in clinical practice. All models were built in NONMEM and evaluated using prediction and simulation-based diagnostics for the ability to predict the subsequent meropenem concentrations without plasma concentrations (a priori), and with plasma concentrations (a posteriori), for use in therapeutic drug monitoring (TDM). Eighteen PopPK models were included for evaluation. The a priori fit of the models, without the use of plasma concentrations, was poor, with a prediction error (PE)% of the interquartile range (IQR) exceeding the ±30% threshold. The fit improved when one to three concentrations were used to improve model predictions for TDM purposes. Two models were in the acceptable range with an IQR PE% within ±30%, when two or three concentrations were used. The role of PK models to determine the starting dose of meropenem in this population seems limited. However, certain models might be suitable for TDM-based dose adjustment using two to three plasma concentrations.
Insights
Pharmacokinetic (PK) models for meropenem show limited use for initial dosing in critically ill patients. However, some models can guide meropenem dose adjustments with therapeutic drug monitoring (TDM) using 2-3 plasma concentrations.
Area of Science:
- Pharmacology
- Clinical Pharmacy
- Pharmacometrics
Background:
- Increasing number of meropenem pharmacokinetic (PK) models.
- Unclear clinical utility of these PK models, particularly for critically ill patients.
Purpose of the Study:
- Evaluate published meropenem PK models using real-world ICU data.
- Assess model suitability for clinical practice and therapeutic drug monitoring (TDM).
Main Methods:
- Evaluation of 18 population PK (PopPK) models built in NONMEM.
- Use of prediction and simulation-based diagnostics for a priori and a posteriori prediction.
- Assessment of prediction error (PE)% and interquartile range (IQR) against a ±30% threshold.
Main Results:
- Poor a priori model fit (IQR PE% > ±30%) without plasma concentrations.
- Improved model fit with 1-3 plasma concentrations for TDM.
- Two models achieved acceptable fit (IQR PE% within ±30%) using 2-3 concentrations.
Conclusions:
- Meropenem PK models have limited utility for determining initial doses in critically ill patients.
- Certain models show potential for TDM-based dose adjustments with 2-3 plasma concentrations.
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