A perspective on the current use of the phase distribution model for predicting milk‐to‐plasma drug concentration ratio

The phase distribution model, proposed by Atkinson and Begg in 1990, has been widely used for predicting breastmilk‐to‐plasma drug concentration ratio. However, misrepresentations of the equations have been noted in recent publications. In this perspective, we revisit the derivation of the equations...

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Autores principales: Zhang, Mian, Sychterz, Caroline, Chang, Ming, Huang, Lu, Schmidt, Brian J., Gaohua, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Perspectives
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755927/
https://www.ncbi.nlm.nih.gov/pubmed/36181346
http://dx.doi.org/10.1002/psp4.12865
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author Zhang, Mian
Sychterz, Caroline
Chang, Ming
Huang, Lu
Schmidt, Brian J.
Gaohua, Lu
author_facet Zhang, Mian
Sychterz, Caroline
Chang, Ming
Huang, Lu
Schmidt, Brian J.
Gaohua, Lu
author_sort Zhang, Mian
collection PubMed
description The phase distribution model, proposed by Atkinson and Begg in 1990, has been widely used for predicting breastmilk‐to‐plasma drug concentration ratio. However, misrepresentations of the equations have been noted in recent publications. In this perspective, we revisit the derivation of the equations and provide an R/Shiny interface for the model with a view to helping scientists in this field acquire in‐depth understanding of the theoretical background and implementation of the model.
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spelling pubmed-97559272022-12-19 A perspective on the current use of the phase distribution model for predicting milk‐to‐plasma drug concentration ratio Zhang, Mian Sychterz, Caroline Chang, Ming Huang, Lu Schmidt, Brian J. Gaohua, Lu CPT Pharmacometrics Syst Pharmacol Perspectives The phase distribution model, proposed by Atkinson and Begg in 1990, has been widely used for predicting breastmilk‐to‐plasma drug concentration ratio. However, misrepresentations of the equations have been noted in recent publications. In this perspective, we revisit the derivation of the equations and provide an R/Shiny interface for the model with a view to helping scientists in this field acquire in‐depth understanding of the theoretical background and implementation of the model. John Wiley and Sons Inc. 2022-10-01 2022-12 /pmc/articles/PMC9755927/ /pubmed/36181346 http://dx.doi.org/10.1002/psp4.12865 Text en © 2022 Bristol Myers Squibb. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. 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 Perspectives
Zhang, Mian
Sychterz, Caroline
Chang, Ming
Huang, Lu
Schmidt, Brian J.
Gaohua, Lu
A perspective on the current use of the phase distribution model for predicting milk‐to‐plasma drug concentration ratio
title A perspective on the current use of the phase distribution model for predicting milk‐to‐plasma drug concentration ratio
title_full A perspective on the current use of the phase distribution model for predicting milk‐to‐plasma drug concentration ratio
title_fullStr A perspective on the current use of the phase distribution model for predicting milk‐to‐plasma drug concentration ratio
title_full_unstemmed A perspective on the current use of the phase distribution model for predicting milk‐to‐plasma drug concentration ratio
title_short A perspective on the current use of the phase distribution model for predicting milk‐to‐plasma drug concentration ratio
title_sort perspective on the current use of the phase distribution model for predicting milk‐to‐plasma drug concentration ratio
topic Perspectives
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755927/
https://www.ncbi.nlm.nih.gov/pubmed/36181346
http://dx.doi.org/10.1002/psp4.12865
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