A Physiologically Based Pharmacokinetic Model of Ertapenem in Pediatric Patients With Renal Impairment

Lingling Ye1, Meng Ke1, Xiang You1

  • 1Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong M. Rd, Fuzhou 350005, People's Republic of China.

Insights

This study developed a pharmacokinetic model to determine optimal ertapenem dosing for children with kidney impairment. The model accurately predicts drug exposure, ensuring effective treatment with adjusted doses for varying degrees of renal dysfunction.

Area of Science:

  • Pharmacology and Therapeutics
  • Pediatric Nephrology
  • Mathematical Modeling in Medicine

Background:

  • Ertapenem is a crucial antibiotic, but its use in pediatric patients with renal impairment requires better pharmacokinetic understanding.
  • Existing pharmacokinetic data for ertapenem in children with kidney disease is limited, hindering optimal dosing strategies.

Purpose of the Study:

  • To develop and validate a physiologically based pharmacokinetic (PBPK) model for ertapenem in pediatric patients with varying degrees of renal impairment.
  • To predict ertapenem exposure and guide optimized dosing regimens in this vulnerable population.

Main Methods:

  • A physiologically based pharmacokinetic (PBPK) model for ertapenem was established and validated using existing data from healthy individuals and adults with renal impairment.
  • The validated PBPK model was used to simulate ertapenem disposition and predict drug exposure in pediatric patients across different stages of renal impairment.
  • Pharmacodynamic targets, specifically %T > MIC (Time above Minimum Inhibitory Concentration), were evaluated using the PBPK model.

Main Results:

  • The PBPK model demonstrated good predictive performance, with simulated results aligning closely with observed ertapenem data (fold error < 2).
  • While Cmax (maximum concentration) remained similar, AUC (Area Under the Curve) significantly increased with worsening renal impairment in pediatric patients.
  • Recommended ertapenem doses were adjusted downwards for mild, moderate, severe renal impairment, and end-stage renal disease to maintain therapeutic efficacy.

Conclusions:

  • The developed PBPK model serves as a valuable tool for predicting ertapenem pharmacokinetics in pediatric patients with renal impairment.
  • The model supports the generation of precise dosing recommendations, aiming for nearly 100% probability of achieving the target %T > MIC.
  • Optimized ertapenem dosing strategies are crucial for effectively treating infections in children with kidney dysfunction.

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