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Published on: February 14, 2018
Antifungal drugs: predicting clinical efficacy with pharmacodynamics
Michael D Nailor1, Pranatharthi H Chandrasekar
1Assistant Clinical Professor, School of Pharmacy, University of Connecticut, CT, USA and Clinical Specialist, Infectious Diseases, Department of Pharmacy, Hartford Hospital, 80 Seymour Street, Hartford CT 06102, USA. mnailor@harthosp.org.
Abstract:
Invasive fungal infections are on the rise, particularly in hospitalized patients and immunocompromised hosts. In recent years, several new antifungals have become available at a rapid pace. Data on pharmacokinetics/pharmacodynamics of the newer/older antifungal drugs are accumulating. As with bacterial infections and antibacterial drugs, predicting the clinical efficacy of antifungal drugs based on pharmacodynamic parameters is becoming feasible. For the echinocandin class, a ratio of 10 or more for peak concentration/minimum inhibitory concentration (MIC) predicts efficacy against most Candida organisms. Increasing the currently used doses does not appear to improve efficacy. For the triazole class, a ratio of 25 or more for the pharmacodynamic parameter, AUC/MIC, predicts efficacy of the antifungal drugs against invasive Candida infections. More data are needed for invasive mold infections. The polyene class of drugs exhibit concentration-dependent activity; doses higher than those used conventionally do not show any clinical advantage. Monitoring serum levels of the newer triazoles, voriconazole and posaconazole, appears to be necessary in clinical practice to ensure efficacy and avoid toxicity. Flucytosine levels help to predict toxicity, but not efficacy. Other classes of drugs do not warrant monitoring serum concentrations. As invasive fungal infections usually occur in the setting of compromised immune defenses, clinical success does not depend upon the activity of the drugs alone; host immune factors need consideration to predict clinical outcome.
Insights
Predicting antifungal drug efficacy for invasive fungal infections is becoming feasible using pharmacodynamic parameters like peak concentration/minimum inhibitory concentration (MIC) and AUC/MIC ratios. Monitoring certain antifungal drug serum levels is necessary for optimal patient outcomes.
Area of Science:
- Mycology
- Infectious Diseases
- Pharmacology
Background:
- Invasive fungal infections (IFIs) are increasing, especially in hospitalized and immunocompromised individuals.
- Several new antifungal agents have recently been developed.
- Pharmacokinetic/pharmacodynamic (PK/PD) data for antifungal drugs are accumulating, enabling efficacy prediction.
Purpose of the Study:
- To review the PK/PD of newer and older antifungal drugs.
- To assess the feasibility of predicting clinical efficacy based on PK/PD parameters.
- To guide clinical practice regarding antifungal drug selection and monitoring.
Main Methods:
- Review of PK/PD data for echinocandins, triazoles, polyenes, and flucytosine.
- Analysis of established PK/PD targets for efficacy against Candida species.
- Evaluation of the necessity for therapeutic drug monitoring (TDM) for various antifungal classes.
Main Results:
- Echinocandin efficacy predicted by peak concentration/MIC ratio ≥10 against Candida.
- Triazole efficacy predicted by AUC/MIC ratio ≥25 against invasive Candida infections.
- Monitoring voriconazole and posaconazole serum levels is recommended; flucytosine monitoring aids toxicity prediction.
Conclusions:
- PK/PD parameters are valuable for predicting antifungal drug efficacy.
- Therapeutic drug monitoring is essential for certain antifungals like voriconazole and posaconazole.
- Clinical success in IFIs also depends on host immune status, necessitating a holistic approach.
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