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Population Pharmacokinetic Model and Optimal Sampling Strategies for Micafungin in Critically Ill Patients Diagnosed
J M Boonstra1, K C van der Elst1, J G Zijlstra2
1University of Groningen, University Medical Center Groningengrid.4494.d, Department of Clinical Pharmacy and Pharmacology, Groningen, the Netherlands.
Abstract:
Candida bloodstream infections are associated with high attributable mortality, where early initiation of adequate antifungal therapy is important to increase survival in critically ill patients. The exposure variability of micafungin, a first-line agent used for the treatment of invasive candidiasis, in critically ill patients is significant, potentially resulting in underexposure in a substantial portion of these patients. The objective of this study was to develop a population pharmacokinetic model including appropriate sampling strategies for assessing micafungin drug exposure in critically ill patients to support adequate area under the concentration-time curve (AUC) determination. A two-compartment pharmacokinetic model was developed using data from intensive care unit (ICU) patients (n = 19), with the following parameters: total body clearance (CL), volume of distribution of the central compartment (V1), inter-compartmental clearance (CL12), and volume of distribution of the peripheral compartment (V2). The final model was evaluated with bootstrap analysis and the goodness-of-fit plots for the population and individual predicted micafungin plasma concentrations. Optimal sampling strategies (with sampling every hour, 24 h per day) were developed with 1- and 2-point sampling schemes. Final model parameters (±SD) were: CL = 1.03 (0.37) (L/h/1.85 m2), V1 = 0.17 (0.07) (L/kg LBMc), CL12 = 1.80 (4.07) (L/h/1.85 m2), and V2 = 0.12 (0.06) (L/kg LBMc). Sampling strategies with acceptable accuracy and precision were developed to determine the micafungin AUC. The developed model with optimal sampling procedures provides the opportunity to achieve quick optimization of the micafungin exposure from a single blood sample using Bayesian software and may be helpful in guiding early dose decision-making.
Insights
This study developed a pharmacokinetic model to optimize micafungin dosing for critically ill patients with Candida bloodstream infections. The model enables precise drug exposure assessment from a single blood sample, improving treatment efficacy.
Area of Science:
- Pharmacokinetics and Pharmacodynamics
- Infectious Diseases
- Critical Care Medicine
Background:
- Candida bloodstream infections carry high mortality rates.
- Early, adequate antifungal therapy is crucial for survival in critically ill patients.
- Micafungin exposure can be highly variable in critically ill patients, risking underexposure.
Purpose of the Study:
- To develop a population pharmacokinetic model for micafungin in critically ill patients.
- To establish optimal sampling strategies for assessing micafungin drug exposure.
- To support adequate determination of micafungin's area under the concentration-time curve (AUC).
Main Methods:
- A two-compartment pharmacokinetic model was developed using data from 19 ICU patients.
- Model parameters included total body clearance (CL), central and peripheral volumes of distribution (V1, V2), and inter-compartmental clearance (CL12).
- Optimal 1- and 2-point sampling strategies were determined, with 24-hour sampling evaluated.
Main Results:
- The final population pharmacokinetic model demonstrated good fit and accuracy.
- Key parameters were estimated: CL = 1.03 L/h/m², V1 = 0.17 L/kg LBM, CL12 = 1.80 L/h/m², V2 = 0.12 L/kg LBM.
- Accurate and precise sampling strategies were developed for micafungin AUC determination.
Conclusions:
- The developed population pharmacokinetic model and sampling strategies allow for efficient micafungin exposure optimization.
- Utilizing Bayesian software with a single blood sample can facilitate quick dose adjustments.
- This approach may significantly aid in guiding early and appropriate micafungin dose decisions for improved patient outcomes.
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