Penetration of meropenem into epithelial lining fluid of patients with ventilator-associated pneumonia
T P Lodise1, F Sorgel, D Melnick
1Ordway Research Institute, Albany, NY 12208, USA.
Abstract:
Antibiotic penetration to the infection site is critical for obtaining a good clinical outcome in patients with ventilator-associated pneumonia (VAP). Surprisingly few studies have quantified the penetration of β-lactam agents into the lung, as measured by the ratio of area under the concentration-time curve (AUC) in epithelial lining fluid (ELF) to AUC in plasma (AUC(ELF)/AUC(plasma) ratio). These have typically involved noninfected patients. This study examines the penetration and pharmacodynamics of meropenem in the ELF among patients with VAP. Meropenem plasma and ELF concentration-time data were obtained from patients in a multicenter clinical trial. Concentration-time profiles in plasma and ELF were simultaneously modeled using a three-compartment model with zero-order infusion and first-order elimination and transfer (big nonparametric adaptive grid [BigNPAG]). A Monte Carlo simulation was performed to estimate the range of ELF/plasma penetration ratios one would expect to observe in patients with VAP, as measured by the AUC(ELF)/AUC(plasma) ratio. The range of AUC(ELF)/AUC(plasma) penetration ratios predicted by the Monte Carlo simulation was large. The 10th percentile of lung penetration was 3.7%, while the 90th percentile of penetration was 178%. The variability of ELF penetration is such that if relatively high ELF exposure targets are required to attain multilog kill or resistance suppression for bacteria like Pseudomonas aeruginosa, then even receiving the largest licensed dose of meropenem with an optimal prolonged infusion may not result in target attainment for a substantial fraction of the population.
Insights
Meropenem lung penetration in ventilator-associated pneumonia (VAP) varies widely. Even high doses may not achieve therapeutic targets in many VAP patients due to unpredictable antibiotic concentrations in epithelial lining fluid (ELF).
Area of Science:
- Pharmacology
- Infectious Diseases
- Critical Care Medicine
Background:
- Effective antibiotic treatment for ventilator-associated pneumonia (VAP) relies on adequate drug penetration to the infection site.
- Quantifying lung penetration of antibiotics, specifically β-lactam agents, in VAP patients is crucial but understudied.
- Previous studies often involved non-infected patients, limiting direct applicability to VAP pharmacodynamics.
Purpose of the Study:
- To investigate the penetration and pharmacodynamics of meropenem in the epithelial lining fluid (ELF) of patients diagnosed with VAP.
- To model meropenem concentration-time profiles in both plasma and ELF to understand drug distribution.
- To estimate the variability in meropenem lung penetration using Monte Carlo simulations.
Main Methods:
- Collected meropenem plasma and ELF concentration-time data from a multicenter clinical trial involving VAP patients.
- Utilized a three-compartment model with zero-order infusion and first-order elimination/transfer (BigNPAG) for simultaneous pharmacokinetic modeling.
- Performed Monte Carlo simulations to predict the range of epithelial lining fluid (ELF) to plasma area under the concentration-time curve (AUC) ratios (AUC(ELF)/AUC(plasma)).
Main Results:
- The study revealed a broad range of meropenem lung penetration, with the 10th percentile at 3.7% and the 90th percentile at 178% for the AUC(ELF)/AUC(plasma) ratio.
- Significant variability in meropenem penetration into the ELF was observed among VAP patients.
- These findings suggest that achieving therapeutic targets for certain pathogens may be challenging for a considerable portion of the VAP population.
Conclusions:
- Meropenem penetration into the lung in VAP patients exhibits substantial inter-patient variability.
- Standard dosing or prolonged infusions of meropenem may not consistently ensure adequate drug exposure in the ELF for effective bacterial killing or resistance suppression.
- Further research is needed to optimize meropenem dosing strategies in VAP to improve clinical outcomes.
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