Extrapolation of Valacyclovir Posology to Children Based on Pharmacokinetic Modeling.

BACKGROUND: Valacyclovir is a prodrug of acyclovir. Although acyclovir is approved for children in Europe, valacyclovir is not approved, despite being used off-label. The aim of the study was to extrapolate the approved dosages of acyclovir, to valacyclovir dosages, in children using Monte Carlo simulations based on the population pharmacokinetic (PopPK) models of valacyclovir and acyclovir. METHODS: Assuming that the recommended dosages of acyclovir are efficacious, a PopPK model of acyclovir was used to perform simulations to determine a critical concentration (Ccrit) for which a target criterion is fulfilled, ie, 90% of the simulated patients have acyclovir levels above Ccrit for at least half the time. The same was done for a secondary target, drug exposure, determining a critical area under the curve in 24 hours at steady state. Then a PopPK model of valacyclovir was used to determine by simulations, dosage regimens that fulfill the criteria for both targets. This was repeated for various indications and age groups. RESULTS: Indicatively, for the treatment of varicella zoster virus, in ages 2-12 years, Ccrit and critical area under the curve in 24 hours at steady state were found to be 0.39 mg/L and 9.6 mg/L × h, respectively, using the acyclovir approved doses 20 mg/kg 4 times daily. For these breakpoints, a 20 mg/kg, 3 times daily, valacyclovir dose achieves the targets in 97% and 100% of the patients, respectively. We found that some patients receive higher than the ideal doses of acyclovir. CONCLUSIONS: Simulations were used to determine the appropriate doses of valacyclovir in children to support a pediatric investigation plan targeting a paediatric-use marketing authorization application in the European Medicines Agency.

Extrapolation of enalapril efficacy from adults to children using pharmacokinetic/pharmacodynamic modelling.

OBJECTIVES: To extrapolate enalapril efficacy to children 0-6 years old, a pharmacokinetic/pharmacodynamic (PKPD) model was built using literature data, with blood pressure as the PD endpoint. METHODS: A PK model of enalapril was developed from literature paediatric data up to 16 years old. A PD model of enalapril was fitted to adult literature response vs time data with various doses. The final PKPD model was validated with literature paediatric efficacy observations (diastolic blood pressure (DBP) drop after 2 weeks of treatment) in children of age 6 years and higher. The model was used to predict enalapril efficacy for ages 0-6 years. KEY FINDINGS: A two-compartment PK model was chosen with weight, reflecting indirectly age as a covariate on clearance and central volume. An indirect link PD model was chosen to describe drug effect. External validation of the model's capability to predict efficacy in children was successful. Enalapril efficacy was extrapolated to ages 1-11 months and 1-6 years finding the mean DBP drop 11.2 and 11.79 mmHg, respectively. CONCLUSIONS: Mathematical modelling was used to extrapolate enalapril efficacy to young children to support a paediatric investigation plan targeting a paediatric-use marketing authorization application.

Serum and tissue pharmacokinetics of silibinin after per os and i.v. administration to mice as a HP-ß-CD lyophilized product.

Silibinin, the main active component of Silybum marianum is a hepatoprotective and antioxidant agent with antitumor effect, exhibiting very low aqueous solubility and oral bioavailability limiting its use in therapeutics. We characterized serum and tissue pharmacokinetics of SLB, calculated its absolute bioavailability and developed an open loop physiologically based pharmacokinetic (PBPK) model, after oral (per os, p.o) and intravenous (i.v.) administration in mice as water-soluble silibinin-hydroxypropyl-beta-cyclodextrin (SLB-HP-ß-CD) lyophilized product. 60 C57Bl/6J mice were divided into groups of 5, each group representing one sampling time point. SLB-HP-ß-CD lyophilized product was administered orally (50mg/kg) and i.v. (20mg/kg) after reconstitution with water for injection. Blood and tissue samples were collected at selected time points after animal sacrificed, properly treated and analyzed with HPLC-PDA for non-metabolized and total SLB. NONMEM pharmacokinetic analysis revealed a 2-compartment PK model to describe serum SLB pharmacokinetics, with zero order absorption after oral administration and was applied as forcing function to an open loop PBPK model incorporating heart, liver, kidneys and lungs. Tissue/plasma Kp values were estimated using i.v. data and can be used to predict tissue SLB distribution after oral administration. Absolute oral bioavailability of SLB from the lyophilized SLB-HP-ß-CD product was 10 times higher than after administration of pure SLB.

Development of a paediatric population pharmacokinetic model for valacyclovir from literature non-compartmental values originating from sparse studies and Bayesian priors: a simulation study.

A preliminary population pharmacokinetic (PopPK) model of valacyclovir in children was developed from non-compartmental analysis (NCA) parameter values from literature, including several age groups, combined with Bayesian priors from a PopPK model of acyclovir, the active metabolite of valacyclovir, from literature too. Also a simulation study was carried out to evaluate the performance of various modelling choices related to the estimation of model parameters from NCA parameters originating from sparse PK studies. Assuming a one-compartment model with first order absorption, a mixed effects, meta-analysis approach was utilized which allows accounting the random intergroup variability, the detection of covariates and the application of informative Bayesian priors on the parameters. The conclusions from the simulation study calculating bias and precision for various cases, were that a model which takes explicitly into account the sampling schedule, performs better than a model using the theoretical expressions of calculating the NCA parameters. Also by using the geometric rather than the arithmetic means of NCA parameters, less biased results are obtained. These findings guided the choices for the valacyclovir model, for which informative priors from a PopPK model of acyclovir were applied for some of the parameters, in order to include a richer covariate model for clearance, not supported by the NCA dataset and a value for bioavailability. This preliminary valacyclovir model can be used in simulations to provide dosage recommendations for children of various ages and to help design more efficiently prospective clinical trials.