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The aim of this study was to develop a model describing the carbamazepine autoinduction and the carbamazepine-mediated induction of CYP3A4, CYP1A2, and P-glycoprotein. Seven healthy volunteers were dosed with carbamazepine over 16 consecutive days. The CYP3A4, CYP1A2, and P-glycoprotein activities were assessed, using midazolam, caffeine, and digoxin as probe substrates, on 12 occasions, covering the preinduced state and the onset and termination of the induction process. The data were evaluated using a mechanistic pharmacokinetic approach in NONMEM. The induction processes were described using turnover models, with carbamazepine and carbamazepine-10,11-epoxide as the driving force of the induction. The half-lives of CYP3A4 and CYP1A2 were estimated to be 70 and 105 h, respectively. P-glycoprotein was not affected by the carbamazepine treatment. The possibility of modeling the pharmacodynamics of enzyme induction using a turnover model was illustrated, and the time course of the process was estimated with good precision.

BackgroundSepsis and bacterial meningitis are major causes of mortality and morbidity in neonates and infants. Meropenem, a broad-spectrum antibiotic, is not licensed for use in neonates and infants below 3 months of age and sufficient information on its plasma and CSF disposition and dosing in neonates and infants is lacking.ObjectivesTo determine plasma and CSF pharmacokinetics of meropenem in neonates and young infants and the link between pharmacokinetics and clinical outcomes in babies with late-onset sepsis (LOS).MethodsData were collected in two recently conducted studies, i.e. NeoMero-1 (neonatal LOS) and NeoMero-2 (neonatal meningitis). Optimally timed plasma samples (n = 401) from 167 patients and opportunistic CSF samples (n = 78) from 56 patients were analysed.ResultsA one-compartment model with allometric scaling and fixed maturation gave adequate fit to both plasma and CSF data; the CL and volume (standardized to 70 kg) were 16.7 (95% CI 14.7, 18.9) L/h and 38.6 (95% CI 34.9, 43.4) L, respectively. CSF penetration was low (8%), but rose with increasing CSF protein, with 40% penetration predicted at a protein concentration of 6 g/L. Increased infusion time improved plasma target attainment, but lowered CSF concentrations. For 24 patients with culture-proven Gram-negative LOS, pharmacodynamic target attainment was similar regardless of the test-of-cure visit outcome.ConclusionsSimulations showed that longer infusions increase plasma PTA but decrease CSF PTA. CSF penetration is worsened with long infusions so increasing dose frequency to achieve therapeutic targets should be considered.

Summary:The aims of the present study were (1) to investigate and quantify the pharmacokinetics, including inter-occasion variability and covariate relationships, of busulphan in BMT patients and (2) to develop a user-friendly initial dosing and therapeutic drug monitoring ( Busulphan is an alkylating agent that, in combination with cyclophosphamide, is widely used in high doses as part of the myeloablative conditioning regimen prior to both allogenic and autologous bone marrow transplantation.

Drug development struggles with high costs and time consuming processes. Hence, a need for new strategies has been accentuated by many stakeholders in drug development. This study proposes the use of pharmacometric models to rationalize drug development. Two simulated examples, within the therapeutic areas of acute stroke and type 2 diabetes, are utilized to compare a pharmacometric model–based analysis to a t-test with respect to study power of proof-of-concept (POC) trials. In all investigated examples and scenarios, the conventional statistical analysis resulted in several fold larger study sizes to achieve 80% power. For a scenario with a parallel design of one placebo group and one active dose arm, the difference between the conventional and pharmacometric approach was 4.3- and 8.4-fold, for the stroke and diabetes example, respectively. Although the model-based power depend on the model assumptions, in these scenarios, the pharmacometric model–based approach was demonstrated to permit drastic streamlining of POC trials.