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Updated: Jun 5, 2026

Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses
Published on: August 30, 2018
Cefepime pharmacokinetics in critically ill children with multiple organ dysfunction syndrome using volumetric
Victor Amajor1, Amanda Bwint1, Steven L Shein2
1Division of Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Insights
This study developed the first population pharmacokinetic model for cefepime in critically ill children with multiple organ dysfunction syndrome (MODS) using volumetric absorptive microsampling (VAMS). The model enables better cefepime dosing and monitoring in this vulnerable patient group.
Area of Science:
- Pharmacokinetics and Pharmacodynamics
- Critical Care Medicine
- Pediatric Pharmacology
Background:
- Multiple organ dysfunction syndrome (MODS) affects up to 50% of critically ill children, increasing mortality.
- Cefepime is a common antibiotic for pediatric sepsis, but its use in MODS lacks pharmacokinetic data.
- Understanding cefepime pharmacokinetics in MODS is crucial for optimizing treatment and improving outcomes.
Purpose of the Study:
- To develop the first population pharmacokinetic (PK) model for cefepime in critically ill children with MODS.
- To evaluate the feasibility of using volumetric absorptive microsampling (VAMS) for PK sampling in this population.
- To establish a basis for optimizing cefepime dosing and monitoring in pediatric MODS.
Main Methods:
- Prospective, observational study of critically ill children with MODS receiving cefepime.
- Collection of up to 15 whole blood samples over 3 days using volumetric absorptive microsampling (VAMS).
- Nonlinear mixed-effects modeling to develop a population PK model, including allometric scaling and covariate analysis (eGFR, age).
Main Results:
- A two-compartment PK model with allometric scaling best described cefepime data.
- Estimated glomerular filtration rate and age were significant covariates on clearance and central volume, respectively.
- PK parameters derived from VAMS data were successfully translated to plasma concentrations, providing estimates for clearance and central volume.
Conclusions:
- The study presents the first population PK model for cefepime in pediatric MODS using VAMS.
- Demonstrates the feasibility of VAMS for PK assessment in critically ill children.
- Provides a foundation for optimizing cefepime therapy and monitoring in this high-risk population.
Abstract:
Up to half of critically ill children experience multiple organ dysfunction syndrome (MODS), which worsens outcomes and increases mortality risk. Cefepime is a broad-spectrum antibiotic commonly used in pediatric sepsis, but its pharmacokinetics during MODS has not been evaluated. We performed a prospective, observational study of critically ill children with MODS who were administered cefepime and collected up to 15 whole blood samples over 3 days using volumetric absorptive microsampling (VAMS). We performed nonlinear mixed-effects modeling to develop a population PK model for cefepime in children with MODS. We then reran our final population PK model using estimated plasma concentrations based on a 0.58:1 VAMS:plasma ratio derived ex vivo. A two-compartment model with allometric scaling best described the data. Estimated glomerular filtration rate and age were significant covariates on total body clearance and central volume, respectively. Final model parameter estimates for clearance and central volume in VAMS were 5.14 L/h and 20.5 L, respectively, for a 36-kg child. Estimates for clearance and central volume in plasma were 2.97 L/h and 11.51 L, respectively. We provide the first population PK model of cefepime in critically ill children with MODS based on VAMS, along with estimated plasma PK derived from VAMS data. Our study demonstrates the feasibility of using a novel microsampling approach to evaluate antimicrobial PK in critically ill children and provides the groundwork to better understand how this approach can optimize treatment and monitoring in this population.
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