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Potential Underprediction of Warfarin Drug Interaction From Conventional Interaction Studies and Risk Mitigation: A Case Study With Epacadostat, an IDO1 Inhibitor

Drug–drug interaction (DDI) studies involving warfarin are typically conducted with subtherapeutic doses of warfarin to ensure the safety of volunteers. However, this approach may potentially have a systemic bias of underestimating pharmacodynamic (PD) DDI effect on warfarin at therapeutic levels of...

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Bibliographic Details
Published in:Journal of clinical pharmacology 2016-11, Vol.56 (11), p.1344-1354
Main Authors: Shi, Jack G., Chen, Xuejun, Punwani, Naresh G., Williams, William V., Yeleswaram, Swamy
Format: Article
Language:English
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Summary:Drug–drug interaction (DDI) studies involving warfarin are typically conducted with subtherapeutic doses of warfarin to ensure the safety of volunteers. However, this approach may potentially have a systemic bias of underestimating pharmacodynamic (PD) DDI effect on warfarin at therapeutic levels of anticoagulation. We demonstrate here the utility of model‐based DDI prediction for a clinically relevant warfarin regimen, using the example of epacadostat (INCB024360), the first‐in‐class indoleamine 2,3‐dioxygenase 1 inhibitor in clinical development as a novel orally active immuno‐oncological therapy. Observed data from a dedicated clinical DDI study using subtherapeutic warfarin suggested warfarin pharmacokinetics (PK), but not PD (anticoagulation), was significantly affected by concomitant epacadostat. However, subsequent PK/PD modeling and simulations indicated a clinically important DDI effect on warfarin PD at a higher baseline of the international normalization ratio (INR) and enabled recommendation of warfarin dose adjustment that is dependent on epacadostat dosing regimen and target INR.
ISSN:0091-2700
1552-4604
DOI:10.1002/jcph.737