Literature DB >> 23210726

A semi-mechanistic absorption model to evaluate drug-drug interaction with dabigatran: application with clarithromycin.

Xavier Delavenne1, Edouard Ollier, Thierry Basset, Laurent Bertoletti, Sandrine Accassat, Arnauld Garcin, Silvy Laporte, Paul Zufferey, Patrick Mismetti.   

Abstract

AIM: The aim of this study was to develop a PK/PD model to assess drug-drug interactions between dabigatran and P-gp modulators, using the example of clarithromycin, a strong inhibitor of P-gp.
METHODS: Ten healthy male volunteers were randomized to receive in the first treatment period a single 300 mg dose of dabigatran etexilate (DE) and in the second treatment period 500 mg clarithromycin twice daily during 3 days and then 300 mg DE plus 500 mg clarithromycin on the fourth day, or the same treatments in the reverse sequence. Dabigatran plasma concentration and ecarin clotting time (ECT) were measured on 11 blood samples. Models were built using a non-linear mixed effect modelling approach.
RESULTS: The best PK model was based on an inverse Gaussian absorption process with two compartments. The relationship between dabigatran concentration and ECT was implemented as a linear function. No continuous covariate was associated with a significant decrease in the objective function. The concomitant administration of clarithromycin induced a significant change only in DE bioavailability, which increased from 6.5% to 10.1% in the presence of clarithromycin. Clarithromycin increased peak concentration and AUC by 60.2% and 49.1% respectively.
CONCLUSION: The model proposed effectively describes the complex PK of dabigatran and takes into account drug-drug interactions with P-gp activity modulators, such as clarithromycin.
© 2012 The Authors. British Journal of Clinical Pharmacology © 2012 The British Pharmacological Society.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23210726      PMCID: PMC3703233          DOI: 10.1111/bcp.12055

Source DB:  PubMed          Journal:  Br J Clin Pharmacol        ISSN: 0306-5251            Impact factor:   4.335


  16 in total

1.  Building population pharmacokinetic--pharmacodynamic models. I. Models for covariate effects.

Authors:  J W Mandema; D Verotta; L B Sheiner
Journal:  J Pharmacokinet Biopharm       Date:  1992-10

Review 2.  The ecarin clotting time, a universal method to quantify direct thrombin inhibitors.

Authors:  Götz Nowak
Journal:  Pathophysiol Haemost Thromb       Date:  2003 Jul-2004 Aug

3.  Evaluation by simulation of tests based on non-linear mixed-effects models in pharmacokinetic interaction and bioequivalence cross-over trials.

Authors:  Xavière Panhard; France Mentré
Journal:  Stat Med       Date:  2005-05-30       Impact factor: 2.373

4.  A note on population analysis of dissolution-absorption models using the inverse Gaussian function.

Authors:  Jian Wang; Michael Weiss; David Z D'Argenio
Journal:  J Clin Pharmacol       Date:  2008-03-21       Impact factor: 3.126

5.  Evaluation of different tests based on observations for external model evaluation of population analyses.

Authors:  Karl Brendel; Emmanuelle Comets; Céline Laffont; France Mentré
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-12-23       Impact factor: 2.745

6.  Effects of the direct thrombin inhibitor dabigatran on ex vivo coagulation time in orthopaedic surgery patients: a population model analysis.

Authors:  Karl-Heinz Liesenfeld; Hans G Schäfer; Iñaki F Trocóniz; Christiane Tillmann; Bengt I Eriksson; Joachim Stangier
Journal:  Br J Clin Pharmacol       Date:  2006-11       Impact factor: 4.335

7.  Pharmacokinetic profile of the oral direct thrombin inhibitor dabigatran etexilate in healthy volunteers and patients undergoing total hip replacement.

Authors:  Joachim Stangier; Bengt I Eriksson; Ola E Dahl; Lennart Ahnfelt; Gerhard Nehmiz; Hildegard Stähle; Karin Rathgen; Robbyna Svärd
Journal:  J Clin Pharmacol       Date:  2005-05       Impact factor: 3.126

8.  A new oral direct thrombin inhibitor, dabigatran etexilate, compared with enoxaparin for prevention of thromboembolic events following total hip or knee replacement: the BISTRO II randomized trial.

Authors:  B I Eriksson; O E Dahl; H R Büller; R Hettiarachchi; N Rosencher; M-L Bravo; L Ahnfelt; F Piovella; J Stangier; P Kälebo; P Reilly
Journal:  J Thromb Haemost       Date:  2005-01       Impact factor: 5.824

9.  Population pharmacokinetic analysis of the new oral thrombin inhibitor dabigatran etexilate (BIBR 1048) in patients undergoing primary elective total hip replacement surgery.

Authors:  Iñaki F Trocóniz; Christiane Tillmann; Karl-Heinz Liesenfeld; Hans-Günter Schäfer; Joachim Stangier
Journal:  J Clin Pharmacol       Date:  2007-03       Impact factor: 3.126

10.  The metabolism and disposition of the oral direct thrombin inhibitor, dabigatran, in humans.

Authors:  Stefan Blech; Thomas Ebner; Eva Ludwig-Schwellinger; Joachim Stangier; Willy Roth
Journal:  Drug Metab Dispos       Date:  2007-11-15       Impact factor: 3.922

View more
  26 in total

Review 1.  Management of nontuberculous mycobacterial infection in the elderly.

Authors:  Mehdi Mirsaeidi; Maham Farshidpour; Golnaz Ebrahimi; Stefano Aliberti; Joseph O Falkinham
Journal:  Eur J Intern Med       Date:  2014-03-29       Impact factor: 4.487

2.  Empirical models for fitting of oral concentration time curves with and without an intravenous reference.

Authors:  Michael Weiss
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-02-01       Impact factor: 2.745

3.  LOWERING THE RISK FOR THROMBUS AND STROKE IN ATRIAL FIBRILLATION PATIENTS: Will Dabigatran Replace Warfarin?

Authors:  Alex Y Tan; Michael A Rosenberg
Journal:  Clin Med Rev Vasc Health       Date:  2013-06-20

4.  A Generic Model for Quantitative Prediction of Interactions Mediated by Efflux Transporters and Cytochromes: Application to P-Glycoprotein and Cytochrome 3A4.

Authors:  Michel Tod; S Goutelle; N Bleyzac; L Bourguignon
Journal:  Clin Pharmacokinet       Date:  2019-04       Impact factor: 6.447

Review 5.  Clinical Management of Pharmacokinetic Drug Interactions with Direct Oral Anticoagulants (DOACs).

Authors:  Megan C Herink; Yan F Zhuo; Craig D Williams; Thomas G DeLoughery
Journal:  Drugs       Date:  2019-10       Impact factor: 9.546

6.  A Comprehensive Whole-Body Physiologically Based Pharmacokinetic Model of Dabigatran Etexilate, Dabigatran and Dabigatran Glucuronide in Healthy Adults and Renally Impaired Patients.

Authors:  Daniel Moj; Hugo Maas; André Schaeftlein; Nina Hanke; José David Gómez-Mantilla; Thorsten Lehr
Journal:  Clin Pharmacokinet       Date:  2019-12       Impact factor: 6.447

7.  Differential Influence of the Antiretroviral Pharmacokinetic Enhancers Ritonavir and Cobicistat on Intestinal P-Glycoprotein Transport and the Pharmacokinetic/Pharmacodynamic Disposition of Dabigatran.

Authors:  Parag Kumar; Lori A Gordon; Kristina M Brooks; Jomy M George; Anela Kellogg; Maryellen McManus; Raul M Alfaro; Khanh Nghiem; Jay Lozier; Colleen Hadigan; Scott R Penzak
Journal:  Antimicrob Agents Chemother       Date:  2017-10-24       Impact factor: 5.191

8.  Correlation between trough plasma dabigatran concentrations and estimates of glomerular filtration rate based on creatinine and cystatin C.

Authors:  Paul K L Chin; Daniel F B Wright; Mei Zhang; Mary C Wallace; Rebecca L Roberts; David M Patterson; Berit P Jensen; Murray L Barclay; Evan J Begg
Journal:  Drugs R D       Date:  2014-06

9.  Physiologically based pharmacokinetic modelling and in vivo [I]/K(i) accurately predict P-glycoprotein-mediated drug-drug interactions with dabigatran etexilate.

Authors:  Yuansheng Zhao; Zhe-Yi Hu
Journal:  Br J Pharmacol       Date:  2014-02       Impact factor: 8.739

Review 10.  A proposal for dose-adjustment of dabigatran etexilate in atrial fibrillation guided by thrombin time.

Authors:  Paul K L Chin; Daniel F B Wright; David M Patterson; Matthew P Doogue; Evan J Begg
Journal:  Br J Clin Pharmacol       Date:  2014-09       Impact factor: 4.335

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.