Letter to the editor
Rifampicin and dabigatran etexilate: a place for laboratory coagulation monitoring
Article first published online: 10 JAN 2013
© 2012 The Authors. British Journal of Clinical Pharmacology © 2012 The British Pharmacological Society
British Journal of Clinical Pharmacology
Volume 75, Issue 2, pages 569–570, February 2013
How to Cite
Chin, P. K. L., Barclay, M. L. and Begg, E. J. (2013), Rifampicin and dabigatran etexilate: a place for laboratory coagulation monitoring. British Journal of Clinical Pharmacology, 75: 569–570. doi: 10.1111/j.1365-2125.2012.04408.x
- Issue published online: 10 JAN 2013
- Article first published online: 10 JAN 2013
- Accepted manuscript online: 1 AUG 2012 03:01AM EST
- Manuscript Accepted: 23 JUN 2012
- Manuscript Received: 23 MAY 2012
The paper by Hartter et al. on the interaction between dabigatran etexilate and rifampicin  is an important addition to the published data on drug–drug interactions involving dabigatran etexilate. Dabigatran etexilate is a substrate of intestinal P-glycoprotein (P-gp). Compared with dabigatran etexilate alone, the co-administration of rifampicin, a P-gp inducer, was associated with a 67% reduction in dabigatran AUC(0,∞). Consequently, Hartter et al. recommend that this drug–drug interaction be managed by avoiding the combination of dabigatran etexilate and rifampicin or any other P-gp inducers, e.g. carbamazepine. We would like to suggest an alternative management strategy to avoidance of such drug combinations.
The interaction with rifampicin or other P-gp inducers could be managed by laboratory coagulation monitoring and appropriate dose adjustment of dabigatran. As Hartter et al. point out, rifampicin also has a significant impact on warfarin concentrations. O'Reilly demonstrated a reduction in steady-state plasma warfarin concentrations of around 85% . Instead of avoidance, the combination of rifampicin and warfarin is managed by monitoring the International Normalized Ratio (INR) and appropriate warfarin dose adjustment.
It may not be immediately clear how laboratory coagulation monitoring should proceed, given that none of the phase III studies of dabigatran etexilate used targeted dosing based on coagulation assay values. However, published data show excellent correlation between dabigatran concentrations and various coagulation assays, e.g. Hemoclot® Thrombin Time (HTT, r2 = 0.99) . Pharmacokinetic data from the RE-LY study of dabigatran etexilate for atrial fibrillation revealed plasma dabigatran concentrations of 50–300 μg l−1 . Using these concentrations, target values for anticoagulation may be read off the correlation graphs, e.g. 40–75 s for HTT.
Laboratory coagulation monitoring is also likely to be useful for other pharmacokinetic drug−drug interactions involving dabigatran. The European Union label for dabigatran etexilate currently includes a confusing list of dosing recommendations for various pharmacokinetic interactions . For example, rifampicin is ‘not recommended’ because of a 67% reduction in concentrations, whereas the guidance for amiodarone, which is associated with a 60% increase in concentrations, is ‘use with caution and assess bleeding risk’ without any suggestion for dose adjustment. Further, how one should manage the co-administration of multiple drugs affecting dabigatran concentrations is unclear. Dose adjustment of dabigatran etexilate based on feedback from laboratory coagulation monitoring seems a reasonable answer to these concerns, and would allow more patients to benefit from this drug.
All authors have completed the Unified Competing Interest form at http://www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare no support from any organization for the submitted work, no financial relationships with any organizations that might have an interest in the submitted work in the previous 3 years and no other relationships or activities that could appear to have influenced the submitted work.
- 4Dabigatran etexilate in atrial fibrillation patients with severe renal impairment: dose identification using pharmacokinetic modeling and simulation. J Clin Pharmacol 2011 (in press). doi: 10.1177/0091270011417716., , , , , , .