1. Population pharmacokinetics of rifampicin in Mexican patients with tuberculosis.
- Author
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Milán Segovia, R. C., Domínguez Ramírez, A. M., Jung Cook, H., Magaña Aquino, M., Vigna Pérez, M., Brundage, R. C., and Romano Moreno, S.
- Subjects
DRUG therapy for tuberculosis ,CONFIDENCE intervals ,HIGH performance liquid chromatography ,LONGITUDINAL method ,RESEARCH funding ,RIFAMPIN ,SEX distribution ,STATISTICS ,DATA analysis ,DATA analysis software ,STATISTICAL models ,DESCRIPTIVE statistics - Abstract
What is known and Objective: Rifampicin (RIF) shows wide variability in its pharmacokinetics. The purpose of this study was to develop and validate a population pharmacokinetic model to characterize the inter- and intra-individual variability in pharmacokinetic parameters of RIF in Mexican patients. Methods: Ninety-four patients receiving antituberculosis therapy participated in this prospective study. Plasma concentration-time data were described using a one-compartment model with lag time, absorption and first-order elimination. The potential influence of demographic and clinical characteristics of the patients, and the pharmaceutical formulation (A, B, C and D) on the pharmacokinetics parameters, was evaluated by non-linear mixed-effect modelling ( nonmem). Seventy-seven additional patients participated in the validation of the model. Results and Discussion: The final population pharmacokinetic model obtained was as follows: apparent clearance CL/ F = 8·17 L/h (1·40 as high for males), apparent distribution volume V
d / F = 50·1 L (1·29 as high for males), absorption rate constant KaA = 0·391/h, KaB,C,D =A = 0·468, FB,C,D =lag = 0·264 h. The final model improved the precision on the parameter estimates (CL/ F, Vd / F and Ka by 31·9%, 16·7% and 92·9%, respectively). The residual variability was 27·3%. What is new and Conclusion: Gender was associated with changes in CL/ F and Vd / F whereas the pharmaceutical formulation was associated with changes in F and altered the Ka . The validation data set showed that the model could be used in clinical practice for Bayesian dose adjustment of RIF in TB patients. [ABSTRACT FROM AUTHOR]- Published
- 2013
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