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Published on: August 30, 2018
Electronic-nomogram-guided micafungin dosing regimen in critically ill patients: A population pharmacokinetic study
Jean-Joseph Bendjilali-Sabiani1, Ahlem Gammoudi2, Matthieu Conseil3
1Service of Medical Pharmacology and Toxicology, Montpellier University Hospital, Montpellier, France; PCCEI, University Montpellier, INSERM, University Antilles, Montpellier, France.
Objectives:
To develop a population pharmacokinetic model for micafungin and an electronic nomogram to support the selection of the optimal initial dosing regimen.
Methods:
A retrospective, monocentric pharmacokinetic study was conducted in a digestive intensive care unit. Population pharmacokinetic modelling and covariate analysis were performed using Monolix.2024R1. Monte Carlo simulations were subsequently used to build the e-nomogram.
Results:
Overall, 404 micafungin plasma concentrations obtained from 100 patients were analysed, including 40% with cirrhosis and/or a history of liver transplantation. The concentration-time data were adequately described by a linear one-compartment model. The estimated PK parameters (between-subject variability) were 17.3 L (15%) for volume of distribution and 0.85 L/h (25%) for clearance (Cl). Total body weight and total bilirubin were identified to influence volume of distribution and/or Cl. External model evaluation showed acceptable predictive performance for both population and individual predictions. Monte Carlo simulations suggested that the currently recommended regimen of 100 mg/d may be insufficient to achieve the pharmacokinetic/pharmacodynamic target for all Candida species when clinical breakpoint MIC values are considered.
Conclusion:
The resulting RShiny application provides clinicians with a practical decision support tool for selecting the best loading and maintenance doses according to total body weight, BILI and the target pathogen, thereby maximising the probability of pharmacokinetic/pharmacodynamic target attainment.
Insights
Optimizing micafungin dosing for invasive candidiasis in critically ill patients is crucial. A population pharmacokinetic model and electronic nomogram were developed to guide personalized dosing, improving treatment efficacy.
Area of Science:
- Pharmacology
- Infectious Diseases
- Critical Care Medicine
Background:
- Micafungin is a first-line treatment for invasive candidiasis.
- Optimal dosing in critically ill patients is unclear due to pharmacokinetic variability.
Purpose of the Study:
- Develop a population pharmacokinetic (popPK) model for micafungin.
- Create an electronic nomogram for optimal initial dosing regimen selection.
Main Methods:
- Retrospective monocentric pharmacokinetic study in a digestive ICU.
- Population pharmacokinetic modeling and covariate analysis using Monolix.
- Monte Carlo simulations to build an electronic nomogram.
Main Results:
- A linear one-compartment model described micafungin pharmacokinetics.
- Total body weight and total bilirubin influenced volume of distribution and clearance.
- Current 100 mg/day regimen may be insufficient for some Candida species.
Conclusions:
- Developed a popPK model and electronic nomogram for micafungin dosing.
- The tool aids clinicians in selecting optimal loading and maintenance doses.
- Aims to maximize the probability of achieving pharmacokinetic/pharmacodynamic targets.
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