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Integrated Population Pharmacokinetic Analysis of Rivaroxaban Across Multiple Patient Populations
The population pharmacokinetics (PK) of rivaroxaban have been evaluated in several population‐specific models. We developed an integrated population PK model using pooled data from 4,918 patients in 7 clinical trials across all approved indications. Effects of gender, age, and weight on apparent cle...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980303/ https://www.ncbi.nlm.nih.gov/pubmed/29660785 http://dx.doi.org/10.1002/psp4.12288 |
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author | Willmann, Stefan Zhang, Liping Frede, Matthias Kubitza, Dagmar Mueck, Wolfgang Schmidt, Stephan Solms, Alexander Yan, Xiaoyu Garmann, Dirk |
author_facet | Willmann, Stefan Zhang, Liping Frede, Matthias Kubitza, Dagmar Mueck, Wolfgang Schmidt, Stephan Solms, Alexander Yan, Xiaoyu Garmann, Dirk |
author_sort | Willmann, Stefan |
collection | PubMed |
description | The population pharmacokinetics (PK) of rivaroxaban have been evaluated in several population‐specific models. We developed an integrated population PK model using pooled data from 4,918 patients in 7 clinical trials across all approved indications. Effects of gender, age, and weight on apparent clearance (CL/F) and apparent volume of distribution (V/F), renal function, and comedication on CL/F, and relative bioavailability as a function of dose (F) were analyzed. Virtual subpopulations for exposure simulations were defined by age, creatinine clearance (CrCL) and body mass index (BMI). Rivaroxaban PK were adequately described by a one‐compartment disposition model with a first‐order absorption rate constant. Significant effects of CrCL, use of comedications, and study population on CL/F, age, weight, and gender on V/F, and dose on F were identified. CrCL had a modest influence on exposure, whereas age and BMI had a minor influence. The model was suitable to predict rivaroxaban exposure in patient subgroups of special interest. |
format | Online Article Text |
id | pubmed-5980303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59803032018-06-01 Integrated Population Pharmacokinetic Analysis of Rivaroxaban Across Multiple Patient Populations Willmann, Stefan Zhang, Liping Frede, Matthias Kubitza, Dagmar Mueck, Wolfgang Schmidt, Stephan Solms, Alexander Yan, Xiaoyu Garmann, Dirk CPT Pharmacometrics Syst Pharmacol Research The population pharmacokinetics (PK) of rivaroxaban have been evaluated in several population‐specific models. We developed an integrated population PK model using pooled data from 4,918 patients in 7 clinical trials across all approved indications. Effects of gender, age, and weight on apparent clearance (CL/F) and apparent volume of distribution (V/F), renal function, and comedication on CL/F, and relative bioavailability as a function of dose (F) were analyzed. Virtual subpopulations for exposure simulations were defined by age, creatinine clearance (CrCL) and body mass index (BMI). Rivaroxaban PK were adequately described by a one‐compartment disposition model with a first‐order absorption rate constant. Significant effects of CrCL, use of comedications, and study population on CL/F, age, weight, and gender on V/F, and dose on F were identified. CrCL had a modest influence on exposure, whereas age and BMI had a minor influence. The model was suitable to predict rivaroxaban exposure in patient subgroups of special interest. John Wiley and Sons Inc. 2018-04-16 2018-05 /pmc/articles/PMC5980303/ /pubmed/29660785 http://dx.doi.org/10.1002/psp4.12288 Text en © 2018 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the http://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 | Research Willmann, Stefan Zhang, Liping Frede, Matthias Kubitza, Dagmar Mueck, Wolfgang Schmidt, Stephan Solms, Alexander Yan, Xiaoyu Garmann, Dirk Integrated Population Pharmacokinetic Analysis of Rivaroxaban Across Multiple Patient Populations |
title | Integrated Population Pharmacokinetic Analysis of Rivaroxaban Across Multiple Patient Populations |
title_full | Integrated Population Pharmacokinetic Analysis of Rivaroxaban Across Multiple Patient Populations |
title_fullStr | Integrated Population Pharmacokinetic Analysis of Rivaroxaban Across Multiple Patient Populations |
title_full_unstemmed | Integrated Population Pharmacokinetic Analysis of Rivaroxaban Across Multiple Patient Populations |
title_short | Integrated Population Pharmacokinetic Analysis of Rivaroxaban Across Multiple Patient Populations |
title_sort | integrated population pharmacokinetic analysis of rivaroxaban across multiple patient populations |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980303/ https://www.ncbi.nlm.nih.gov/pubmed/29660785 http://dx.doi.org/10.1002/psp4.12288 |
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