Dosage Optimization Using Physiologically Based Pharmacokinetic Modeling for Pediatric Patients with Renal
Najia Rahim1, Muhammad Sarfraz2, Abubakar Bello3
1Department of Pharmacy Practice, Dow College of Pharmacy, Dow University of Health Sciences, Karachi, Pakistan. najia.rahim@duhs.edu.pk.
Insights
This study developed a physiologically based pharmacokinetic (PBPK) model for meropenem in pediatric patients with renal impairment (RI). The model optimizes meropenem dosing, recommending reduced doses for moderate and severe RI to ensure effective plasma concentrations.
Area of Science:
- Pharmacokinetics and Drug Metabolism
- Pediatric Nephrology
- Computational Pharmacology
Background:
- Renally eliminated antibiotics' pharmacokinetics are affected by renal function changes in pediatric patients.
- Limited data exists on meropenem pharmacokinetics in pediatric subjects with renal insufficiency.
Purpose of the Study:
- To develop a physiologically based pharmacokinetic (PBPK) model for meropenem in pediatric patients.
- To optimize meropenem dosing in pediatric patients with renal impairment (RI).
Main Methods:
- A PBPK model was developed using GastroPlus™ 9.9 with literature data.
- The model was scaled to pediatric patients with varying degrees of RI.
- Model fit was assessed using average fold errors (AFE) for AUC and Cmax.
Main Results:
- AFE values for AUC0-t, AUC0-α, and Cmax were 1.60, 1.08, and 1.48, respectively.
- Recommended meropenem dose reductions to 10 mg/kg for moderate RI and 7.5 mg/kg for severe RI.
- Optimized doses achieved the target time above minimum inhibitory concentration (MIC) in virtual pediatric populations with RI.
Conclusions:
- The developed PBPK model quantitatively assesses RI's impact on meropenem pharmacokinetics in pediatrics.
- This tool aids in optimizing meropenem dosing regimens for pediatric patients with renal impairment.
Abstract:
The pharmacokinetics of renally eliminated antibiotics can be influenced by changes associated with renal function and development in a growing subject. Little is known about the effects of renal insufficiency on the pharmacokinetics of meropenem in pediatric subjects. The aim of this study was to develop a physiologically based pharmacokinetic (PBPK) model of meropenem for pediatric patients that can be used to optimize meropenem dosing in pediatric patients with renal impairment (RI). The PBPK model was developed using GastroPlus™ 9.9 based on clinical data obtained from the literature and then scaled to pediatric patients with RI for dose optimization of meropenem. The goodness of fit of the model was assessed by comparing the predicted values of AUC0-t, AUC0-α, and Cmax with the observed data and the average fold errors (AFE). The AFE values for AUC0-t, AUC0-α, and Cmax in the pediatric population were measured to be 1.60, 1.08, and 1.48, respectively. In addition, dose optimization was performed in virtual pediatric populations with varying degrees of RI and a dose reduction to 10 mg/kg and 7.5 mg/kg was recommended for moderate and severe RI, respectively. In all virtual pediatric populations with RI, the plasma concentration reached the recommended time above the minimum inhibitory concentration (MIC) at all optimized doses. The developed PBPK model for meropenem provides a quantitative tool to assess the impact of RI on the pharmacokinetics of meropenem in pediatric patients, which may be useful for optimizing the dosing regimen.
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