TITLE:
Optimization of Dosage Regimen of Rezafungin against Candida spp. Based on Pharmacokinetic/Pharmacodynamic Analysis
AUTHORS:
Jiuli Hu, Junhui Hu
KEYWORDS:
Invasive Candidiasis, Rezafungin, Pharmacokinetics/Pharmacodynamics, Monte Carlo Simulation
JOURNAL NAME:
Pharmacology & Pharmacy,
Vol.11 No.6,
June
8,
2020
ABSTRACT: Invasive candidiasis was the most common nosocomial fungal infection with
high morbidity and mortality, which is mainly occurring in immunodeficiency and
critical patients. Echinocandins were recommended as first-line drugs for the
treatment and prevention of invasive candidiasis. In our study, we aimed to optimize
the dosage of Rezafungin against Candida spp. based on
pharmacokinetic/pharmacodynamics (PK/PD) analysis. We collected the published
data about pharmacokinetic parameters of rezafungin and the MIC distribution of Candida spp. on rezafungin. Monte Carlo simulation was used to calculate
probability of target attainment and a cumulative fraction of response to
assess the best dosing regimen. The optimal dosage regimen for C. albicans and C. glabrata was 50 mg
IV, and the optimal dosage regimen for C. parapsilosis was
100 mg IV. Lastly, rezafungin has an excellent antifungal effect on C. albicans, C. glabrata and C. parapsilosis.