Literature DB >> 18043476

Population pharmacokinetic model of carbamazepine derived from routine therapeutic drug monitoring data.

Katarina Vucićević1, Branislava Miljković, Ruzica Velicković, Milena Pokrajac, Ales Mrhar, Iztok Grabnar.   

Abstract

The aim of the present study was to develop a population pharmacokinetic model of carbamazepine from routine therapeutic drug monitoring data. Steady-state carbamazepine plasma concentrations determined by homogenous enzyme immunoassay technique, dosing history including cotherapy, schedule of blood sampling, and patients' demographic characteristics were collected retrospectively from patients' chart histories. A one-compartment model was fitted to the data using nonlinear mixed effects modeling. The influence of weight, age, gender, smoking, allergy, carbamazepine daily dose, and cotherapy on clearance (CL/F) was evaluated. Additionally, bioavailability of controlled-release relative to immediate-release tablets was assessed. Two hundred sixty-five patients (423 concentrations) were used to develop a population pharmacokinetic model. The population estimate of CL/F from the base model was 5.14 L/h with interindividual variability of 50.20%. Patients' gender, age, smoking, allergy, cotherapy with lamotrigine and benzodiazepines had no effect on CL/F. Patient weight (WT), daily carbamazepine dose (DCBZ), daily dose of phenobarbitone (DPB) and valproic acid (VPA), when its daily dose exceeded 750 mg, significantly influenced CL/F and were included in the final model:[equation: see text] where VPA is 1 if dose is greater than 750 mg or 0 otherwise. No difference in bioavailability of carbamazepine between controlled- and immediate-release tablets was detected. The model predictions in the validation set had no bias and satisfactory precision. The model can be used for estimation of carbamazepine CL/F in individual patients in the postautoinduction phase and for selection of optimum dosing regimen in routine patient care.

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Year:  2007        PMID: 18043476     DOI: 10.1097/FTD.0b013e31815c15f3

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  4 in total

1.  Nonlinear mixed effects modelling approach in investigating phenobarbital pharmacokinetic interactions in epileptic patients.

Authors:  Katarina Vučićević; Marija Jovanović; Bojana Golubović; Sandra Vezmar Kovačević; Branislava Miljković; Žarko Martinović; Milica Prostran
Journal:  Eur J Clin Pharmacol       Date:  2014-11-09       Impact factor: 2.953

2.  Pharmacokinetics of lamotrigine in paediatric and young adult epileptic patients--nonlinear mixed effects modelling approach.

Authors:  Branka Brzaković; Katarina Vučićević; Sandra Vezmar Kovačević; Branislava Miljković; Milica Prostran; Žarko Martinović; Milena Pokrajac
Journal:  Eur J Clin Pharmacol       Date:  2013-11-19       Impact factor: 2.953

3.  Time-to-Seizure Modeling of Lacosamide Used in Monotherapy in Patients with Newly Diagnosed Epilepsy.

Authors:  Andreas Lindauer; Christian Laveille; Armel Stockis
Journal:  Clin Pharmacokinet       Date:  2017-11       Impact factor: 6.447

4.  Evaluation of clinical and genetic factors in the population pharmacokinetics of carbamazepine.

Authors:  Vincent L M Yip; Henry Pertinez; Xiaoli Meng; James L Maggs; Daniel F Carr; B Kevin Park; Anthony G Marson; Munir Pirmohamed
Journal:  Br J Clin Pharmacol       Date:  2020-12-14       Impact factor: 4.335

  4 in total

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