Model-oriented Dose Optimization of Voriconazole in Critically Ill Children
Objective: This study aimed to employ a population pharmacokinetic (PK) model to optimize the dosing regimen of voriconazole (VRC) in children with a critical illness. Methods: A total of 99 children aged from 0.44 to 13.58 years old were included in this study. The stability and predictive performance of the final model were evaluated by statistical and graphical methods. The optimal dosing regimen was proposed for children with different body weight, CYP2C19 phenotype, and co-administration with omeprazole. Results: The PK of VRC was described by a two-compartment model with nonlinear Michaelis-Menten elimination. Body weight, CYP2C19 phenotype, and omeprazole were significant covariates on maximum velocity of elimination (V max ), which had an estimated typical value of 18.13 mg·h −1 . Bayesian estimation suggested that dose-normalized concentration and total exposure (C max /D, C min /D, AUC 24 /D) were significantly different between extensive metabolizers (EM) patients and poor metabolizer (PM) patients. To achieve the target concentration early, two loading doses of 9 mg·kg −1 q12h were reliable for most children, whereas three loading doses of 6-7.5 mg·kg −1 q8h were warranted for young children weighted ≤18kg (except PM patients). The maintenance doses decreased about 30-40% in PM patients than that in EM patients. For children aged < 2 years in EM, the maintenance dose could be as high as 9 mg·kg −1 . The maintenance dose of VRC was supposed to decrease slightly when co-administration with omeprazole. Conclusion: A population PK model of intravenous VRC for critically ill children has been successful developed. It is necessary to adjust dosing regimens according to CYP2C19 genotype. The optimal dosing regimens have been recommended basing on the final model.