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Published on: March 4, 2017
Population pharmacokinetics of fluconazole in young infants
1Department of Pediatrics, Division of Neonatology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA. wade@email.chop.edu
Insights
This study developed a fluconazole pharmacokinetic model for neonates, revealing that gestational age and postnatal age significantly impact drug clearance. Dosing adjustments are crucial for achieving effective fluconazole exposure in infants.
Area of Science:
- Pharmacology
- Neonatal Medicine
- Pharmacokinetics
Background:
- Invasive candidiasis is a significant concern in neonates, with fluconazole use increasing for prevention and treatment.
- Current fluconazole dosing in neonates is largely empirical due to insufficient pharmacokinetic data.
- Understanding fluconazole pharmacokinetics in this vulnerable population is critical for optimizing therapy.
Purpose of the Study:
- To develop a population pharmacokinetic model for fluconazole in preterm and term infants.
- To identify key covariates influencing fluconazole clearance and volume of distribution.
- To provide data-driven recommendations for fluconazole dosing in neonates.
Main Methods:
- A multicenter population pharmacokinetic study was conducted in 55 infants (23- to 40-week gestation).
- Nonlinear mixed-effects modeling (NONMEM) was employed to develop the pharmacokinetic model.
- Data from 357 fluconazole samples were analyzed, incorporating covariates such as weight, gestational age at birth (BGA), postnatal age (PNA), and serum creatinine (SCRT).
Main Results:
- A one-compartment model best described fluconazole pharmacokinetics, with clearance influenced by BGA, PNA, and SCRT.
- Fluconazole clearance significantly increases with age; it doubles between birth and 28 days for both 24- and 32-week-gestation infants.
- The developed model provides equations for calculating fluconazole clearance and volume of distribution based on infant characteristics.
Conclusions:
- This population pharmacokinetic model accurately characterizes fluconazole disposition in neonates.
- Gestational age at birth and postnatal age are critical determinants of fluconazole clearance in infants.
- Fluconazole dosing regimens in neonates require adjustments based on BGA and PNA to ensure therapeutic drug exposure.
Abstract:
Fluconazole is being increasingly used to prevent and treat invasive candidiasis in neonates, yet dosing is largely empirical due to the lack of adequate pharmacokinetic (PK) data. We performed a multicenter population PK study of fluconazole in 23- to 40-week-gestation infants less than 120 days of age. We developed a population PK model using nonlinear mixed effect modeling (NONMEM) with the NONMEM algorithm. Covariate effects were predefined and evaluated based on estimation precision and clinical significance. We studied fluconazole PK in 55 infants who at enrollment had a median (range) weight of 1.02 (0.440 to 7.125) kg, a gestational age at birth (BGA) of 26 (23 to 40) weeks, and a postnatal age (PNA) of 2.3 (0.14 to 12.6) weeks. The final data set contained 357 samples; 217/357 (61%) were collected prospectively at prespecified time intervals, and 140/357 (39%) were scavenged from discarded clinical specimens. Fluconazole population PK was best described by a one-compartment model with covariates normalized to median values. The population mean clearance (CL) can be derived for this population by the equation CL (liter/h) equals 0.015 . (weight/1)(0.75) . (BGA/26)(1.739) . (PNA/2)(0.237) . serum creatinine (SCRT)(-4.896) (when SCRT is >1.0 mg/dl), and using a volume of distribution (V) (liter) of 1.024 . (weight/1). The relative standard error around the fixed effects point estimates ranged from 3 to 24%. CL doubles between birth and 28 days of age from 0.008 to 0.016 and from 0.010 to 0.022 liter/kg/h for typical 24- and 32-week-gestation infants, respectively. This population PK model of fluconazole discriminated the impact of BGA, PNA, and creatinine on drug CL. Our data suggest that dosing in young infants will require adjustment for BGA and PNA to achieve targeted systemic drug exposures.
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