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Applications of Physiologically Based Pharmacokinetic Modeling of Rivaroxaban—Renal and Hepatic Impairment and Drug‐Drug Interaction Potential

The non–vitamin K antagonist oral anticoagulant rivaroxaban is used in several thromboembolic disorders. Rivaroxaban is eliminated via both metabolic degradation and renal elimination as unchanged drug. Therefore, renal and hepatic impairment may reduce rivaroxaban clearance, and medications inhibit...

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Autores principales: Willmann, Stefan, Coboeken, Katrin, Kapsa, Stefanie, Thelen, Kirstin, Mundhenke, Markus, Fischer, Kerstin, Hügl, Burkhard, Mück, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8048900/
https://www.ncbi.nlm.nih.gov/pubmed/33205449
http://dx.doi.org/10.1002/jcph.1784
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author Willmann, Stefan
Coboeken, Katrin
Kapsa, Stefanie
Thelen, Kirstin
Mundhenke, Markus
Fischer, Kerstin
Hügl, Burkhard
Mück, Wolfgang
author_facet Willmann, Stefan
Coboeken, Katrin
Kapsa, Stefanie
Thelen, Kirstin
Mundhenke, Markus
Fischer, Kerstin
Hügl, Burkhard
Mück, Wolfgang
author_sort Willmann, Stefan
collection PubMed
description The non–vitamin K antagonist oral anticoagulant rivaroxaban is used in several thromboembolic disorders. Rivaroxaban is eliminated via both metabolic degradation and renal elimination as unchanged drug. Therefore, renal and hepatic impairment may reduce rivaroxaban clearance, and medications inhibiting these clearance pathways could lead to drug‐drug interactions. This physiologically based pharmacokinetic (PBPK) study investigated the pharmacokinetic behavior of rivaroxaban in clinical situations where drug clearance is impaired. A PBPK model was developed using mass balance and bioavailability data from adults and qualified using clinically observed data. Renal and hepatic impairment were simulated by adjusting disease‐specific parameters, and concomitant drug use was simulated by varying enzyme activity in virtual populations (n = 1000) and compared with pharmacokinetic predictions in virtual healthy populations and clinical observations. Rivaroxaban doses of 10 mg or 20 mg were used. Mild to moderate renal impairment had a minor effect on area under the concentration‐time curve and maximum plasma concentration of rivaroxaban, whereas severe renal impairment caused a more pronounced increase in these parameters vs normal renal function. Area under the concentration‐time curve and maximum plasma concentration increased with severity of hepatic impairment. These effects were smaller in the simulations compared with clinical observations. AUC and C(max) increased with the strength of cytochrome P450 3A4 and P‐glycoprotein inhibitors in simulations and clinical observations. This PBPK model can be useful for estimating the effects of impaired drug clearance on rivaroxaban pharmacokinetics. Identifying other factors that affect the pharmacokinetics of rivaroxaban could facilitate the development of models that approximate real‐world pharmacokinetics more accurately.
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spelling pubmed-80489002021-04-20 Applications of Physiologically Based Pharmacokinetic Modeling of Rivaroxaban—Renal and Hepatic Impairment and Drug‐Drug Interaction Potential Willmann, Stefan Coboeken, Katrin Kapsa, Stefanie Thelen, Kirstin Mundhenke, Markus Fischer, Kerstin Hügl, Burkhard Mück, Wolfgang J Clin Pharmacol Physiologically Based Pharmacokinetic Modeling The non–vitamin K antagonist oral anticoagulant rivaroxaban is used in several thromboembolic disorders. Rivaroxaban is eliminated via both metabolic degradation and renal elimination as unchanged drug. Therefore, renal and hepatic impairment may reduce rivaroxaban clearance, and medications inhibiting these clearance pathways could lead to drug‐drug interactions. This physiologically based pharmacokinetic (PBPK) study investigated the pharmacokinetic behavior of rivaroxaban in clinical situations where drug clearance is impaired. A PBPK model was developed using mass balance and bioavailability data from adults and qualified using clinically observed data. Renal and hepatic impairment were simulated by adjusting disease‐specific parameters, and concomitant drug use was simulated by varying enzyme activity in virtual populations (n = 1000) and compared with pharmacokinetic predictions in virtual healthy populations and clinical observations. Rivaroxaban doses of 10 mg or 20 mg were used. Mild to moderate renal impairment had a minor effect on area under the concentration‐time curve and maximum plasma concentration of rivaroxaban, whereas severe renal impairment caused a more pronounced increase in these parameters vs normal renal function. Area under the concentration‐time curve and maximum plasma concentration increased with severity of hepatic impairment. These effects were smaller in the simulations compared with clinical observations. AUC and C(max) increased with the strength of cytochrome P450 3A4 and P‐glycoprotein inhibitors in simulations and clinical observations. This PBPK model can be useful for estimating the effects of impaired drug clearance on rivaroxaban pharmacokinetics. Identifying other factors that affect the pharmacokinetics of rivaroxaban could facilitate the development of models that approximate real‐world pharmacokinetics more accurately. John Wiley and Sons Inc. 2021-01-06 2021-05 /pmc/articles/PMC8048900/ /pubmed/33205449 http://dx.doi.org/10.1002/jcph.1784 Text en © 2020 The Authors. The Journal of Clinical Pharmacology published by Wiley Periodicals LLC on behalf of American College of Clinical Pharmacology https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Physiologically Based Pharmacokinetic Modeling
Willmann, Stefan
Coboeken, Katrin
Kapsa, Stefanie
Thelen, Kirstin
Mundhenke, Markus
Fischer, Kerstin
Hügl, Burkhard
Mück, Wolfgang
Applications of Physiologically Based Pharmacokinetic Modeling of Rivaroxaban—Renal and Hepatic Impairment and Drug‐Drug Interaction Potential
title Applications of Physiologically Based Pharmacokinetic Modeling of Rivaroxaban—Renal and Hepatic Impairment and Drug‐Drug Interaction Potential
title_full Applications of Physiologically Based Pharmacokinetic Modeling of Rivaroxaban—Renal and Hepatic Impairment and Drug‐Drug Interaction Potential
title_fullStr Applications of Physiologically Based Pharmacokinetic Modeling of Rivaroxaban—Renal and Hepatic Impairment and Drug‐Drug Interaction Potential
title_full_unstemmed Applications of Physiologically Based Pharmacokinetic Modeling of Rivaroxaban—Renal and Hepatic Impairment and Drug‐Drug Interaction Potential
title_short Applications of Physiologically Based Pharmacokinetic Modeling of Rivaroxaban—Renal and Hepatic Impairment and Drug‐Drug Interaction Potential
title_sort applications of physiologically based pharmacokinetic modeling of rivaroxaban—renal and hepatic impairment and drug‐drug interaction potential
topic Physiologically Based Pharmacokinetic Modeling
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8048900/
https://www.ncbi.nlm.nih.gov/pubmed/33205449
http://dx.doi.org/10.1002/jcph.1784
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