A population pharmacokinetic model for pegylated-asparaginase in children.

We analysed 1221 serum activity measurements in 168 children from the Berlin-Frankfürt-Münster acute lymphoblastic leukaemia studies, ALL-BFM (Berlin-Frankfürt-Münster) 95 and ALL-BFM REZ, in order to develop a pharmacokinetic model describing the activity-time course of pegylated (PEG)-asparaginase for all dose levels. Patients received 500, 750, 1000 or 2500 U/m(2) PEG-asparaginase on up to nine occasions. Serum samples were analysed for asparaginase activity and data analysis was done using nonlinear mixed effects modelling (NONMEM Vers. VI, Globomax, Hanouet, MD, USA). Different linear and nonlinear models were tested. The best model applicable to all dosing groups was a one-compartmental model with clearance (Cl) increasing with time according to the formula: Cl=Cl(i) *e((0.0793 *t)) where Cl(i) = initial clearance and t = time after dose. The parameters found were: volume of distribution (V) 1.02 +/- 26% l/m(2), Cl(i) 59.9 +/- 59% ml/d per m(2) (mean +/- interindividual variability). Interoccasion variability was substantial with 0.183 l/m(2) for V and 44.7 ml/d per m(2) for Cl, respectively. A subgroup of the patients showed a high clearance, probably due to the development of inactivating antibodies. This is the first model able to predict the activity-time course of PEG-asparaginase at different dosing levels and can therefore be used for developing new dosing regimens.

Serum cystatin C is a better marker of topotecan clearance than serum creatinine.

PURPOSE: To evaluate plasma cystatin level as a covariate to predict topotecan pharmacokinetics. Cystatin C, a member of the cystatin superfamily of cysteine proteinase inhibitors, has been recently proposed as an alternative endogenous marker of glomerular filtration. Renal function is known as a key factor of topotecan clearance. EXPERIMENTAL DESIGN: Data were obtained from 59 patients who underwent drug monitoring for individual dosing of topotecan. Topotecan plasma concentrations versus time were analyzed using a nonlinear mixed effect model according to a two-compartment pharmacokinetic model and a first-order conditional estimation method. A proportional error model was used for residual and interpatient variabilities. Data-splitting was done randomly to create a model-building data set (44 patients) and a model validation data set (15 patients). RESULTS: Using the building data set, four covariates significantly decreased the objective function value and interindividual variability on topotecan clearance (CL) when tested individually: ideal body weight (IBW), serum creatinine, age, and cystatin C level. The best model was: CL (L/hour) = 20.2 [cystatin C (mg/L) / 1.06](-0.60) [IBW (kg) / 57](0.95). Prospective evaluation using the validation data set confirmed that the model based on cystatin C had a better predictive value than the models based on serum creatinine or body surface area. CONCLUSION: Cystatin C is a marker of drug elimination which is superior to serum creatinine for topotecan. It deserves to be further explored as a promising covariate for drug dosing as well as selection criteria for clinical studies of drugs eliminated mainly or partially by the kidney.