Literature DB >> 23167603

Population pharmacokinetics of rifampicin in Mexican patients with tuberculosis.

R C Milán Segovia1, A M Domínguez Ramírez, H Jung Cook, M Magaña Aquino, M Vigna Pérez, R C Brundage, S Romano Moreno.   

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 K(aA) = 0·391/h, K(aB,C,D) = 2·70/h, relative bioavailability F(A) = 0·468, F(B,C,D) = 1, lag time in the absorption phase T(lag) = 0·264 h. The final model improved the precision on the parameter estimates (CL/F, V(d) /F and K(a) 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 V(d) /F whereas the pharmaceutical formulation was associated with changes in F and altered the K(a) . The validation data set showed that the model could be used in clinical practice for Bayesian dose adjustment of RIF in TB patients.
© 2012 Blackwell Publishing Ltd.

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Year:  2012        PMID: 23167603     DOI: 10.1111/jcpt.12016

Source DB:  PubMed          Journal:  J Clin Pharm Ther        ISSN: 0269-4727            Impact factor:   2.512


  7 in total

1.  Validation and Application of a Dried Blood Spot Assay for Biofilm-Active Antibiotics Commonly Used for Treatment of Prosthetic Implant Infections.

Authors:  Ben Knippenberg; Madhu Page-Sharp; Sam Salman; Ben Clark; John Dyer; Kevin T Batty; Timothy M E Davis; Laurens Manning
Journal:  Antimicrob Agents Chemother       Date:  2016-07-22       Impact factor: 5.191

2.  Personalized Tuberculosis Treatment Through Model-Informed Dosing of Rifampicin.

Authors:  Stijn W van Beek; Rob Ter Heine; Ron J Keizer; Cecile Magis-Escurra; Rob E Aarnoutse; Elin M Svensson
Journal:  Clin Pharmacokinet       Date:  2019-06       Impact factor: 6.447

3.  Clinical Pharmacokinetics of Rifampin in Patients with Tuberculosis and Type 2 Diabetes Mellitus: Association with Biochemical and Immunological Parameters.

Authors:  S E Medellín-Garibay; N Cortez-Espinosa; R C Milán-Segovia; M Magaña-Aquino; J M Vargas-Morales; R González-Amaro; D P Portales-Pérez; S Romano-Moreno
Journal:  Antimicrob Agents Chemother       Date:  2015-10-05       Impact factor: 5.191

4.  Population pharmacokinetics of rifampicin in adult patients with osteoarticular infections: interaction with fusidic acid.

Authors:  Amélie Marsot; Amelie Ménard; Julien Dupouey; Cedric Muziotti; Romain Guilhaumou; Olivier Blin
Journal:  Br J Clin Pharmacol       Date:  2017-01-16       Impact factor: 4.335

5.  Serum drug concentrations predictive of pulmonary tuberculosis outcomes.

Authors:  Jotam G Pasipanodya; Helen McIlleron; André Burger; Peter A Wash; Peter Smith; Tawanda Gumbo
Journal:  J Infect Dis       Date:  2013-07-29       Impact factor: 5.226

6.  Pharmacokinetic Modeling and Optimal Sampling Strategies for Therapeutic Drug Monitoring of Rifampin in Patients with Tuberculosis.

Authors:  Marieke G G Sturkenboom; Leonie W Mulder; Arthur de Jager; Richard van Altena; Rob E Aarnoutse; Wiel C M de Lange; Johannes H Proost; Jos G W Kosterink; Tjip S van der Werf; Jan-Willem C Alffenaar
Journal:  Antimicrob Agents Chemother       Date:  2015-06-08       Impact factor: 5.191

Review 7.  Population Pharmacokinetics and Bayesian Dose Adjustment to Advance TDM of Anti-TB Drugs.

Authors:  Marieke G G Sturkenboom; Anne-Grete Märtson; Elin M Svensson; Derek J Sloan; Kelly E Dooley; Simone H J van den Elsen; Paolo Denti; Charles A Peloquin; Rob E Aarnoutse; Jan-Willem C Alffenaar
Journal:  Clin Pharmacokinet       Date:  2021-03-06       Impact factor: 6.447

  7 in total

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