Population Pharmacokinetics of Rezafungin in Patients with Fungal Infections
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Updated: Oct 24, 2025

Live Imaging of Antifungal Activity by Human Primary Neutrophils and Monocytes in Response to A. fumigatus
Published on: April 19, 2017
Christopher M Rubino1, Shawn Flanagan2
1Institute for Clinical Pharmacodynamics (ICPD), Schenectady, New York, USA.
Abstract:
Rezafungin is a novel antifungal agent of the echinocandin class with potent activity against species of Candida and Aspergillus, including subsets of resistant strains, and Pneumocystis jirovecii. The objective of this analysis was to develop a population pharmacokinetic (PK) model to characterize the disposition of rezafungin in plasma following intravenous (IV) administration in healthy volunteers and in patients with candidemia and/or invasive candidiasis. The population PK model was based on a previous model from phase 1 data; formal covariate analyses were conducted to identify any relationships between subject characteristics and rezafungin PK variability. A four-compartment model with linear elimination and zero-order drug input provided a robust fit to the pooled data. Several statistically significant relationships between subject descriptors (sex, infection status, serum albumin, and body surface area [BSA]) and rezafungin PK parameters were identified, but none were deemed clinically relevant. Previous dose justification analyses conducted using data from phase 1 subjects alone are expected to remain appropriate. The final model provided a precise and unbiased fit to the observed concentrations and can be used to reliably predict rezafungin PK in infected patients.
Insights
Rezafungin, a novel antifungal, shows potent activity. A population pharmacokinetic model confirms its predictable disposition in patients, supporting current dosing strategies for effective treatment.
Area of Science:
- Pharmacology
- Mycology
- Clinical Pharmacy
Background:
- Rezafungin is a novel echinocandin antifungal with broad-spectrum activity.
- Understanding its pharmacokinetic (PK) profile is crucial for optimizing therapeutic use.
Purpose of the Study:
- To develop and validate a population PK model for rezafungin in healthy volunteers and patients.
- To identify factors influencing rezafungin disposition after intravenous administration.
Main Methods:
- A four-compartment model with linear elimination and zero-order input was utilized.
- Pooled data from healthy volunteers and patients with candidemia/invasive candidiasis were analyzed.
- Covariate analyses identified relationships between subject characteristics and PK variability.
Main Results:
- The four-compartment model provided a robust fit to the observed rezafungin concentrations.
- Statistically significant covariates (sex, infection status, albumin, BSA) were identified but lacked clinical relevance.
- The model accurately predicted rezafungin PK in infected patient populations.
Conclusions:
- The developed population PK model reliably characterizes rezafungin disposition.
- Current dosing recommendations are supported by the model's predictive accuracy.
- The model can guide future therapeutic drug monitoring and dose adjustments.
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