Patients treated with antithrombotics are at risk of both severe ischemic and bleeding events. However, current clinical scores are insufficiently discriminant to predict the most favorable drug and dosing for an improved net clinical benefit. Physiologically and population-based pharmacokinetic models (PBPK and POPPK respectively) incorporate substrate specific properties obtained from experimental in-vitro experiments as well as patients' demographic, genetic and physiological in vivo data in order to characterize the dose-concentration relationships. As such, they can be used to simulate and predict PK profiles accounting for specific patients' characteristics and are the basis of dosing optimization. These models could be a valuable tool to predict antithrombotic blood concentration in a given patient. Our main goal is to elaborate predictive models characterizing the dose-concentration relationship with influencing variables of three direct oral anticoagulants (DOAC) (rivaroxaban, apixaban, dabigatran) and three P2Y12 inhibitors (clopidogrel, prasugrel, ticagrelor) in hospitalized patients, which will serve as basis for drug selection and dosage optimization.
The main goal of the OptimAT study main goal is to validate a PBPK model for 3 direct oral anticoagulants (rivaroxaban, apixaban, dabigatran) and 3 P2Y12 inhibitors (clopidogrel, ticagrelor, prasugrel) in hospitalized patients.