1. Population pharmacokinetics of carbamazepine in Singapore epileptic patients.
- Author
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Chan E, Lee HS, and Hue SS
- Subjects
- Adolescent, Adult, Analysis of Variance, Anticonvulsants blood, Anticonvulsants therapeutic use, Bayes Theorem, Carbamazepine blood, Carbamazepine therapeutic use, Child, Child, Preschool, China ethnology, Drug Interactions, Drug Therapy, Combination, Epilepsy drug therapy, Epilepsy genetics, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Models, Biological, Models, Statistical, Phenobarbital blood, Phenobarbital pharmacokinetics, Phenobarbital therapeutic use, Predictive Value of Tests, Singapore, Anticonvulsants pharmacokinetics, Carbamazepine pharmacokinetics, Epilepsy metabolism
- Abstract
Aims: To document the population pharmacokinetics of carbamazepine in patients with epilepsy living in Singapore, the majority of whom are of Chinese origin and others of minority races., Methods: Steady-state plasma carbamazepine concentration data were gathered during routine care from various hospitals in Singapore for patients with epilepsy. Age, body weight, gender, race, formulation and concurrent medication (for other illnesses) were the fixed effects (covariates) tested simultaneously for their influence on the population mean of carbamazepine clearance, using the nonlinear mixed-effects model, in the NONMEM program., Results: No age, gender, race, or formulation-related effect was found. Body weight (W), age (A) and concurrent medication with phenobarbitone (PB) emerged as the determinants of carbamazepine clearance (CL). The final regression model for carbamazepine clearance found best to describe the data was CL = 40.7 x A(0.494) x W(-1.17) x 1.44PB where CL is in l day(-1) kg(-1), A is in years, W is in kg and PB = 0 for a patient on carbamazepine only and PB = 1 for a patient on concomitant PB. The corresponding interindividual variability (CV%) in CL, described by using an exponential model, was 21.4%, and the residual error, described by using an exponential error model, was 18.2%. Predictive performance of this population covariate model was evaluated by Bayesian forecasting in a similar, but independent cohort of patients. There was no statistically significant bias between predicted and measured plasma carbamazepine concentrations. The population mean value of carbamazepine clearance obtained was similar to that previously reported for patients with a very different ethnic (Caucasians and Blacks) or geographical background (South Africa, Europe and USA)., Conclusions: The derived covariate regression model reasonably predicted concentrations in the separate validation Singapore patient data set. The correlation between carbamazepine clearance and patient-specific characteristics may thus allow dosage adjustment to be made to achieve target steady-state plasma concentrations.
- Published
- 2001
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