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Published on: August 30, 2018
Population pharmacokinetics of meropenem in critically ill infant patients
Wanlika Yonwises1, Noppadol Wacharachaisurapol2, Suvaporn Anugulruengkitt3
1Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand.
Insights
This study developed a population pharmacokinetic model for meropenem in critically ill infants. The model helps optimize meropenem dosing to improve treatment outcomes in this vulnerable population.
Area of Science:
- Pharmacokinetics and Pharmacodynamics
- Pediatric Critical Care
- Infectious Disease Pharmacology
Background:
- Population pharmacokinetic (PPK) analysis in critically ill infants is challenging due to limited data.
- Understanding meropenem pharmacokinetics is crucial for effective treatment in pediatric intensive care units.
Purpose of the Study:
- To establish a PPK model for meropenem in critically ill infants.
- To identify covariates influencing meropenem pharmacokinetic parameters.
- To guide individualized meropenem dosing strategies.
Main Methods:
- Prospective study involving 35 critically ill infants.
- Collection and analysis of 160 meropenem plasma samples.
- NONMEM software utilized for PPK analysis with internal validation (bootstrapping, VPC).
Main Results:
- A one-compartment model with first-order elimination best described meropenem pharmacokinetics.
- Typical clearance (CL) was 1.33 L/h and volume of distribution (Vd) was 2.27 L.
- Weight and creatinine clearance affected CL; weight influenced Vd. Standard dosing achieved 40% fT>MIC, falling short of the 80% target at high MICs.
Conclusions:
- The developed PPK model provides a basis for individualized meropenem dosing in critically ill infants.
- Optimized dosing may be necessary to achieve therapeutic targets, especially for resistant pathogens.
- This model can enhance meropenem efficacy and improve patient outcomes.
Background:
Population pharmacokinetic analysis in critically ill infants remains a challenge for lack of information.
Objectives:
To determine the population pharmacokinetic parameters of meropenem and evaluate the covariates affecting population pharmacokinetic parameters.
Methods:
A prospective study was conducted on 35 patients. A total of 160 blood samples were collected and determined free of drug concentrations of meropenem. Population pharmacokinetic data were analyzed using NONMEM software. Internal validation methods, including bootstrapping and prediction-corrected visual predictive checks, were applied to evaluate the robustness and predictive power of the final model.
Results:
A one-compartment model with first-order elimination showed the best fit to the data. The typical clearance (CL) values and volume of distribution (Vd) were 1.33 L/h and 2.27 L, respectively. Weight and creatinine clearance were influential covariates for CL, while weight was a significant covariate for Vd of meropenem. The model evaluation results suggested robustness and good predictability of the final model. The standard dosage regimens of meropenem achieved 40% f T>MIC but not enough if a more aggressive target of 80% f T>MIC at MIC value of ≥ 16 µg/mL is desired.
Conclusions:
This population pharmacokinetic model could be used for suggesting individualized meropenem dosage regimens in critically ill infants.
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