Age-Dependent Pharmacokinetics of Doxorubicin in Children with Cancer.

BACKGROUND AND OBJECTIVE: Knowledge on the pharmacokinetics of doxorubicin, especially in children, is very limited with conflicting evidence concerning a possible age dependency in the pharmacokinetics. The aim of the current investigation was to assess, by using population pharmacokinetics, whether an age dependency in the clearance (CL) of doxorubicin exists. METHODS: Pharmacokinetic data of doxorubicin and its main metabolite doxorubicinol from 94 children (aged 0-18 years) from the EPOC-MS-001-Doxo trial were available. A population pharmacokinetic model was developed in NONMEM(®) 7.2.0. RESULTS: A linear three-compartment model for doxorubicin, with one additional compartment for doxorubicinol, gave the best fit to the data. All model parameters were linearly scaled on body surface area. Including a power function of age as a covariate for CL led to a further improvement of the model. Variation in genes encoding for enzymes involved in the metabolism or active transport of doxorubicin had no influence on the pharmacokinetics. Estimates of CL were lower (26.6 L/h/m(2) in children aged >3 years and 21.1 L/h/m(2) in children aged ≤3 years, p = 0.0004) in children aged <3 years, compared with older children. CONCLUSIONS: This is the first model to describe the pharmacokinetics of doxorubicin in children, with a specific focus on infants and children aged <3 years. The lower CL in younger children should be considered together with the pharmacodynamics, especially the cardiotoxicity, when selecting the dose for future protocols.

Population pharmacokinetics of doxorubicin: establishment of a NONMEM model for adults and children older than 3 years.

PURPOSE: The aim of the current investigation was to develop a population pharmacokinetic model for doxorubicin and doxorubicinol that could provide improved estimated values for the pharmacokinetic parameters clearance of doxorubicin, volume of distribution of the central compartment, clearance of doxorubicinol and volume of distribution of the metabolite compartment for adults and children older than 3 years. A further aim was to investigate the potential influence of the covariates body surface area, body weight, body height, age, body mass index, sex and lean body mass on the pharmacokinetic parameters. METHODS: Three different datasets, two containing data from adults and one containing data from adults and children, were merged and the combined dataset was analysed retrospectively. In total, the combined dataset contained 934 doxorubicin and 935 doxorubicinol plasma concentrations from 82 patients [64 adults and 18 children (<18 years)]. With this combined dataset, a population pharmacokinetic model was developed, using NONMEM(®) 7.2 and a predefined model-building strategy. Different structural models, error models and estimation methods were tested, and the inter-individual and the inter-occasion variability (variability between separate (two or three) doxorubicin infusions) were tested. Using a subset of 52 patients, the influence of different covariates on the pharmacokinetic parameters was investigated. The pharmacokinetic parameter estimates obtained from doxorubicin concentrations with the best model were fixed, and an additional compartment for doxorubicinol was added to the model. With the final model for both substances, a potential age dependency and body mass index dependency of the clearance of doxorubicin and doxorubicinol as well as of the volumes of distribution of the central and the metabolite compartment were evaluated. RESULTS: A four-compartment model best described the doxorubicin and doxorubicinol data of the combined dataset. This model included a proportional residual error model and an inter-individual variability on the clearance of doxorubicin, on the inter-compartmental clearances of the peripheral compartments, on the clearance of doxorubicinol and on the volumes of distribution of the central, one peripheral and the metabolite compartment. Furthermore, the body surface area as covariate on all pharmacokinetic parameters and an inter-occasion variability for the clearance of doxorubicin and the volume of distribution of the central compartment were incorporated in the model. For a patient with the body surface area of 1.8 m², the clearance of doxorubicin was 53.3 L/h (inter-individual variability 31%, inter-occasion variability 13%) and the volume of distribution of the central compartment was 17.7 L (inter-individual variability 19%, inter-occasion variability 21%), respectively. The residual variability of the model was 22% for doxorubicin and 26% for doxorubicinol. The clearance of doxorubicinol was estimated at 44 L/h (inter-individual variability 50%) and the volume of distribution of the metabolite compartment at 1,150 L (inter-individual variability 57%). The evaluation of a possible age dependency and body mass index dependency showed a trend to a smaller volume of distribution of the central compartment (normalised to the body surface area) and a higher volume of distribution of the metabolite compartment (normalised to the body weight) in younger patients. CONCLUSIONS: A four-compartment NONMEM(®) model for doxorubicin and doxorubicinol adequately described the plasma concentrations in adults and children (>3 years). No pronounced effects of age on the clearance of doxorubicin or doxorubicinol were found, and the analysis did not support the modification of the dosing strategies presently used in children and adults.

Minimization of the preanalytical error in pharmacokinetic analyses and therapeutic drug monitoring: focus on IV drug administration.

BACKGROUND: The conduct of multicenter pharmacokinetic (PK) analyses for long-established drugs entails specific problems, because samples have to be obtained within daily clinical practice. Practices for intravenous (IV) drug administration vary between hospitals, including the use of different infusion devices, the use of infusion line systems with different line volumes, and different priming and rinsing procedures. METHODS: Variables of IV drug administration that could influence concentration data obtained in PK analyses were evaluated. Kinetics of drug delivery during initiation and cessation of IV infusions were simulated in vitro for a drop-counter and a syringe-driven infusion system at different flow rates. Furthermore, the percentages of the target drug dosage remaining in the infusion line after different rinsing periods were investigated in vitro and in clinical practice. RESULTS: Varying times required for the drug to migrate from the bag/syringe to the cannula and to reach a steady-state drug administration rate were observed. Time to steady state ranged from almost immediate to 48 minutes depending on the infusion system and flow rate. The longest times were seen for the drop-counter system at low flow rates and were associated with large drug concentration gradients in the infusion line, which makes it difficult to accurately determine start and end of the infusion. For most systems, when rinsing at the end of infusion was performed with once the volume of the infusion line, <5% of the total drug dosage was discarded. Larger variability was seen for slow infusion rates and small infusion volumes. CONCLUSIONS: The choice of the infusion apparatus, standardized infusion systems, and standardized operating procedures for drug administration are important when performing postmarketing PK analyses in multicentric studies.

Minimization of the preanalytical error in plasma samples for pharmacokinetic analyses and therapeutic drug monitoring--using doxorubicin as an example.

BACKGROUND: There are many sources of variability in plasma samples drawn for pharmacokinetic analyses or therapeutic drug monitoring. In this article, methods are proposed on how to prevent sample dilution (Part I) and contamination effects (Part II) in plasma samples, using doxorubicin as an example. METHODS: Experiments were performed in the laboratory setting to identify factors that could influence plasma samples in clinical practice. In part I, it was hypothesized that saline solution left in a catheter could lead to a dilution of samples drawn through this catheter. The impact of 2 different sampling techniques, the "discard method" and the "push-pull method", was examined. In part II, an infusion system was filled with a 1 mg/mL solution of doxorubicin. After rinsing the system with increasing volumes of saline solution, the drug concentration of the fluid left in the system was analyzed. Furthermore, plasma samples were drawn through the drug administration catheter, and the contamination of these samples with doxorubicin left in the catheter was measured. RESULTS: In part I, a discard volume of plasma equal to 4 dead volumes of the sampling line was necessary to avoid dilution of a sample taken from a port or double-lumen catheter filled with saline solution ("discard method"). Pulling up and down the same volume through the catheter 5 times ("push-pull method") was proved to be an alternative with no need to discard blood. In part II, after rinsing the infusion system with a volume of saline solution corresponding to 4 dead volumes of the system and after discarding a volume of plasma corresponding to 4 sampling line volumes, the doxorubicin contamination in the samples was negligibly small. CONCLUSIONS: Under the described conditions, the push-pull method delivered the same results as the discard method to prevent sample dilution. To avoid contamination in plasma samples, development of standardized sampling procedures seems to be essential and feasible.