Azole interactions with multidrug therapy in pediatric oncology

Patients with cancer receive multidrug therapy. Antineoplastic agents and supportive care drugs are often administered together, leading to potential drug-drug interactions. These interactions may have significant clinical implications in terms of toxicity or a decrease in the efficacy of the treatment administered. Here, we focus on the role of azoles and their main pharmacokinetic interactions with the principal classes of drugs used in pediatric oncology. The co-administration of azoles and antineoplastic agents, corticosteroids, immunosuppressants, antacids, antiemetics, antiepileptic drugs and analgesics was investigated, and a practical guide on the management of these drugs when administered together is provided

Are Physiologically-Based Pharmacokinetic Models Reporting the Right Cmax? Central Venous Versus Peripheral Sampling Site

Physiologically based pharmacokinetic (PBPK) models can over-predict maximum plasma concentrations (C(max)) following intravenous administration. A proposed explanation is that invariably PBPK models report the concentration in the central venous compartment, rather than the site where the samples are drawn. The purpose of this study was to identify and validate potential corrective models based on anatomy and physiology governing the blood supply at the site of sampling and incorporate them into a PBPK platform. Four models were developed and scrutinised for their corrective potential. All assumed the peripheral sampling site concentration could be described by contributions from surrounding tissues and utilised tissue-specific concentration-time profiles reported from the full-PBPK model within the Simcyp Simulator. Predicted concentrations for the peripheral site were compared to the observed C(max). The models results were compared to clinical data for 15 studies over seven compounds (alprazolam, imipramine, metoprolol, midazolam, omeprazole, rosiglitazone and theophylline). The final model utilised tissue concentrations from adipose, skin, muscle and a contribution from artery. Predicted C(max) values considering the central venous compartment can over-predict the observed values up to 10-fold whereas the new sampling site predictions were within 2-fold of observed values. The model was particularly relevant for studies where traditional PBPK models over-predict early time point concentrations. A successful corrective model for C(max) prediction has been developed, subject to further validation. These models can be enrolled as built-up modules into PBPK platforms and potentially account for factors that may affect the initial mixing of the blood at the site of sampling. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1208/s12248-015-9796-7) contains supplementary material, which is available to authorized users