Application of Size and Maturation Functions to Population Pharmacokinetic Modeling of Pediatric Patients.

Traditionally, dosage for pediatric patients has been optimized using simple weight-scaled methods, but these methods do not always meet the requirements of children. To overcome this discrepancy, population pharmacokinetic (PK) modeling of size and maturation functions has been proposed. The main objective of the present study was to evaluate a new modeling method for pediatric patients using clinical data from three different clinical studies. To develop the PK models, a nonlinear mixed effect modeling method was employed, and to explore PK differences in pediatric patients, size with allometric and maturation with Michaelis-Menten type functions were evaluated. Goodness of fit plots, visual predictive check and bootstrap were used for model evaluation. Single application of size scaling to PK parameters was statistically significant for the over one year old group. On the other hand, simultaneous use of size and maturation functions was statistically significant for infants younger than one year old. In conclusion, population PK modeling for pediatric patients was successfully performed using clinical data. Size and maturation functions were applied according to established criteria, and single use of size function was applicable for over one year ages, while size and maturation functions were more effective for PK analysis of neonates and infants.

Dose Optimization Based on Population Pharmacokinetic Modeling of High-Dose Cyclosporine, a P-glycoprotein Inhibitor, in Combination with Systemic Chemotherapy in Pediatric Patients with Retinoblastoma.

PURPOSE: Retinoblastoma is a childhood malignancy of the retina. To increase the exposures of systemic chemotherapy, high-dose cyclosporine, as a P-glycoprotein modulating agent, has been combined with a standard chemotherapy. However, the effective and safe dose of cyclosporine has not been well evaluated. This study is to optimize cyclosporine dose using population pharmacokinetic modeling. METHODS: Clinical data were obtained from 161 systemic chemotherapy cycles of 34 pediatric retinoblastoma patients between December 2006 and April 2015. Total 15 scenarios were simulated by 5 different doses (12, 14, 15, 17, and 20 mg/kg) of cyclosporine in 3 different weight groups (5-10, 10-15, and 15-20 kg). Numerical success ratio was obtained after assessing the simulated target cyclosporine concentration in the range of 2,000-2,500 ng/mL using NONMEM version 7.3 software. RESULTS: A final model was built based on a 1-compartment model with weight-normalized allometric scaling to minimize the variability of pediatric size. In simulations, numeric success ratio with 15 mg/kg/day and the above were higher than that of traditional doses in all of the scenario groups. No significant adverse responses were reported. Conclusion and Relevance: High-dose cyclosporine regimen as a P-gp modulator is required to improve the efficacy of systemic chemotherapy with caution in pediatric patients with retinoblastoma. Clearance, volume of distribution, and body weight are important parameters to consider in selecting adequate dosing regimen.