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Routine clinical care data for population pharmacokinetic modeling: the case for Fanhdi/Alphanate in hemophilia A patients
Fanhdi/Alphanate is a plasma derived factor VIII concentrate used for treating hemophilia A, for which there has not been any dedicated model describing its pharmacokinetics (PK). A population PK model was developed using data extracted from the Web-Accessible Population Pharmacokinetic Service-Hemo...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820598/ https://www.ncbi.nlm.nih.gov/pubmed/31115857 http://dx.doi.org/10.1007/s10928-019-09637-4 |
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author | Chelle, Pierre Yeung, Cindy H. T. Bonanad, Santiago Morales Muñoz, Juan Cristóbal Ozelo, Margareth C. Megías Vericat, Juan Eduardo Iorio, Alfonso Spears, Jeffrey Mir, Roser Edginton, Andrea |
author_facet | Chelle, Pierre Yeung, Cindy H. T. Bonanad, Santiago Morales Muñoz, Juan Cristóbal Ozelo, Margareth C. Megías Vericat, Juan Eduardo Iorio, Alfonso Spears, Jeffrey Mir, Roser Edginton, Andrea |
author_sort | Chelle, Pierre |
collection | PubMed |
description | Fanhdi/Alphanate is a plasma derived factor VIII concentrate used for treating hemophilia A, for which there has not been any dedicated model describing its pharmacokinetics (PK). A population PK model was developed using data extracted from the Web-Accessible Population Pharmacokinetic Service-Hemophilia (WAPPS-Hemo) project. WAPPS-Hemo provided individual PK profiles for hemophilia patients using sparse observations as provided in routine clinical care by hemophilia centers. Plasma factor activity measurements and covariate data from hemophilia A patients on Fanhdi/Alphanate were extracted from the WAPPS-Hemo database. A population PK model was developed using NONMEM and evaluated for suitability for Bayesian forecasting using prediction-corrected visual predictive check (pcVPC), cross validation, limited sampling analysis and external evaluation against a population PK model developed on rich sampling data. Plasma factor activity measurements from 92 patients from 12 centers were used to derive the model. The PK was best described by a 2-compartment model including between subject variability on clearance and central volume, fat free mass as a covariate on clearance, central and peripheral volumes, and age as covariate on clearance. Evaluations showed that the developed population PK model could predict the PK parameters of new individuals based on limited sampling analysis and cross and external evaluations with acceptable precision and bias. This study shows the feasibility of using real-world data for the development of a population PK model. Evaluation and comparison of the model for Bayesian forecasting resulted in similar results as a model developed using rich sampling data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10928-019-09637-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6820598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-68205982019-11-06 Routine clinical care data for population pharmacokinetic modeling: the case for Fanhdi/Alphanate in hemophilia A patients Chelle, Pierre Yeung, Cindy H. T. Bonanad, Santiago Morales Muñoz, Juan Cristóbal Ozelo, Margareth C. Megías Vericat, Juan Eduardo Iorio, Alfonso Spears, Jeffrey Mir, Roser Edginton, Andrea J Pharmacokinet Pharmacodyn Original Paper Fanhdi/Alphanate is a plasma derived factor VIII concentrate used for treating hemophilia A, for which there has not been any dedicated model describing its pharmacokinetics (PK). A population PK model was developed using data extracted from the Web-Accessible Population Pharmacokinetic Service-Hemophilia (WAPPS-Hemo) project. WAPPS-Hemo provided individual PK profiles for hemophilia patients using sparse observations as provided in routine clinical care by hemophilia centers. Plasma factor activity measurements and covariate data from hemophilia A patients on Fanhdi/Alphanate were extracted from the WAPPS-Hemo database. A population PK model was developed using NONMEM and evaluated for suitability for Bayesian forecasting using prediction-corrected visual predictive check (pcVPC), cross validation, limited sampling analysis and external evaluation against a population PK model developed on rich sampling data. Plasma factor activity measurements from 92 patients from 12 centers were used to derive the model. The PK was best described by a 2-compartment model including between subject variability on clearance and central volume, fat free mass as a covariate on clearance, central and peripheral volumes, and age as covariate on clearance. Evaluations showed that the developed population PK model could predict the PK parameters of new individuals based on limited sampling analysis and cross and external evaluations with acceptable precision and bias. This study shows the feasibility of using real-world data for the development of a population PK model. Evaluation and comparison of the model for Bayesian forecasting resulted in similar results as a model developed using rich sampling data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10928-019-09637-4) contains supplementary material, which is available to authorized users. Springer US 2019-05-21 2019 /pmc/articles/PMC6820598/ /pubmed/31115857 http://dx.doi.org/10.1007/s10928-019-09637-4 Text en © The Author(s) 2019, corrected publication 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. |
spellingShingle | Original Paper Chelle, Pierre Yeung, Cindy H. T. Bonanad, Santiago Morales Muñoz, Juan Cristóbal Ozelo, Margareth C. Megías Vericat, Juan Eduardo Iorio, Alfonso Spears, Jeffrey Mir, Roser Edginton, Andrea Routine clinical care data for population pharmacokinetic modeling: the case for Fanhdi/Alphanate in hemophilia A patients |
title | Routine clinical care data for population pharmacokinetic modeling: the case for Fanhdi/Alphanate in hemophilia A patients |
title_full | Routine clinical care data for population pharmacokinetic modeling: the case for Fanhdi/Alphanate in hemophilia A patients |
title_fullStr | Routine clinical care data for population pharmacokinetic modeling: the case for Fanhdi/Alphanate in hemophilia A patients |
title_full_unstemmed | Routine clinical care data for population pharmacokinetic modeling: the case for Fanhdi/Alphanate in hemophilia A patients |
title_short | Routine clinical care data for population pharmacokinetic modeling: the case for Fanhdi/Alphanate in hemophilia A patients |
title_sort | routine clinical care data for population pharmacokinetic modeling: the case for fanhdi/alphanate in hemophilia a patients |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820598/ https://www.ncbi.nlm.nih.gov/pubmed/31115857 http://dx.doi.org/10.1007/s10928-019-09637-4 |
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