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Development and Evaluation of a Virtual Population of Children with Obesity for Physiologically Based Pharmacokinetic Modeling

BACKGROUND AND OBJECTIVE: While one in five children in the USA are now obese, and more than three-quarters receive at least one drug during childhood, there is limited dosing guidance for this vulnerable patient population. Physiologically based pharmacokinetic modeling can bridge the gap in the un...

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Autores principales: Gerhart, Jacqueline G., Carreño, Fernando O., Edginton, Andrea N., Sinha, Jaydeep, Perrin, Eliana M., Kumar, Karan R., Rikhi, Aruna, Hornik, Christoph P., Harris, Vincent, Ganguly, Samit, Cohen-Wolkowiez, Michael, Gonzalez, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813791/
https://www.ncbi.nlm.nih.gov/pubmed/34617262
http://dx.doi.org/10.1007/s40262-021-01072-4
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author Gerhart, Jacqueline G.
Carreño, Fernando O.
Edginton, Andrea N.
Sinha, Jaydeep
Perrin, Eliana M.
Kumar, Karan R.
Rikhi, Aruna
Hornik, Christoph P.
Harris, Vincent
Ganguly, Samit
Cohen-Wolkowiez, Michael
Gonzalez, Daniel
author_facet Gerhart, Jacqueline G.
Carreño, Fernando O.
Edginton, Andrea N.
Sinha, Jaydeep
Perrin, Eliana M.
Kumar, Karan R.
Rikhi, Aruna
Hornik, Christoph P.
Harris, Vincent
Ganguly, Samit
Cohen-Wolkowiez, Michael
Gonzalez, Daniel
author_sort Gerhart, Jacqueline G.
collection PubMed
description BACKGROUND AND OBJECTIVE: While one in five children in the USA are now obese, and more than three-quarters receive at least one drug during childhood, there is limited dosing guidance for this vulnerable patient population. Physiologically based pharmacokinetic modeling can bridge the gap in the understanding of how pharmacokinetics, including drug distribution and clearance, changes with obesity by incorporating known obesity-related physiological changes in children. The objective of this study was to develop a virtual population of children with obesity to enable physiologically based pharmacokinetic modeling, then use the novel virtual population in conjunction with previously developed models of clindamycin and trimethoprim/sulfamethoxazole to better understand dosing of these drugs in children with obesity. METHODS: To enable physiologically based pharmacokinetic modeling, a virtual population of children with obesity was developed using national survey, electronic health record, and clinical trial data, as well as data extracted from the literature. The virtual population accounts for key obesity-related changes in physiology relevant to pharmacokinetics, including increased body size, body composition, organ size and blood flow, plasma protein concentrations, and glomerular filtration rate. The virtual population was then used to predict the pharmacokinetics of clindamycin and trimethoprim/sulfamethoxazole in children with obesity using previously developed physiologically based pharmacokinetic models. RESULTS: Model simulations predicted observed concentrations well, with an overall average fold error of 1.09, 1.24, and 1.53 for clindamycin, trimethoprim, and sulfamethoxazole, respectively. Relative to children without obesity, children with obesity experienced decreased clindamycin and trimethoprim/sulfamethoxazole weight-normalized clearance and volume of distribution, and higher absolute doses under recommended pediatric weight-based dosing regimens. CONCLUSIONS: Model simulations support current recommended weight-based dosing in children with obesity for clindamycin and trimethoprim/sulfamethoxazole, as they met target exposure despite these changes in clearance and volume of distribution. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40262-021-01072-4.
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spelling pubmed-88137912022-02-09 Development and Evaluation of a Virtual Population of Children with Obesity for Physiologically Based Pharmacokinetic Modeling Gerhart, Jacqueline G. Carreño, Fernando O. Edginton, Andrea N. Sinha, Jaydeep Perrin, Eliana M. Kumar, Karan R. Rikhi, Aruna Hornik, Christoph P. Harris, Vincent Ganguly, Samit Cohen-Wolkowiez, Michael Gonzalez, Daniel Clin Pharmacokinet Original Research Article BACKGROUND AND OBJECTIVE: While one in five children in the USA are now obese, and more than three-quarters receive at least one drug during childhood, there is limited dosing guidance for this vulnerable patient population. Physiologically based pharmacokinetic modeling can bridge the gap in the understanding of how pharmacokinetics, including drug distribution and clearance, changes with obesity by incorporating known obesity-related physiological changes in children. The objective of this study was to develop a virtual population of children with obesity to enable physiologically based pharmacokinetic modeling, then use the novel virtual population in conjunction with previously developed models of clindamycin and trimethoprim/sulfamethoxazole to better understand dosing of these drugs in children with obesity. METHODS: To enable physiologically based pharmacokinetic modeling, a virtual population of children with obesity was developed using national survey, electronic health record, and clinical trial data, as well as data extracted from the literature. The virtual population accounts for key obesity-related changes in physiology relevant to pharmacokinetics, including increased body size, body composition, organ size and blood flow, plasma protein concentrations, and glomerular filtration rate. The virtual population was then used to predict the pharmacokinetics of clindamycin and trimethoprim/sulfamethoxazole in children with obesity using previously developed physiologically based pharmacokinetic models. RESULTS: Model simulations predicted observed concentrations well, with an overall average fold error of 1.09, 1.24, and 1.53 for clindamycin, trimethoprim, and sulfamethoxazole, respectively. Relative to children without obesity, children with obesity experienced decreased clindamycin and trimethoprim/sulfamethoxazole weight-normalized clearance and volume of distribution, and higher absolute doses under recommended pediatric weight-based dosing regimens. CONCLUSIONS: Model simulations support current recommended weight-based dosing in children with obesity for clindamycin and trimethoprim/sulfamethoxazole, as they met target exposure despite these changes in clearance and volume of distribution. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40262-021-01072-4. Springer International Publishing 2021-10-07 2022 /pmc/articles/PMC8813791/ /pubmed/34617262 http://dx.doi.org/10.1007/s40262-021-01072-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research Article
Gerhart, Jacqueline G.
Carreño, Fernando O.
Edginton, Andrea N.
Sinha, Jaydeep
Perrin, Eliana M.
Kumar, Karan R.
Rikhi, Aruna
Hornik, Christoph P.
Harris, Vincent
Ganguly, Samit
Cohen-Wolkowiez, Michael
Gonzalez, Daniel
Development and Evaluation of a Virtual Population of Children with Obesity for Physiologically Based Pharmacokinetic Modeling
title Development and Evaluation of a Virtual Population of Children with Obesity for Physiologically Based Pharmacokinetic Modeling
title_full Development and Evaluation of a Virtual Population of Children with Obesity for Physiologically Based Pharmacokinetic Modeling
title_fullStr Development and Evaluation of a Virtual Population of Children with Obesity for Physiologically Based Pharmacokinetic Modeling
title_full_unstemmed Development and Evaluation of a Virtual Population of Children with Obesity for Physiologically Based Pharmacokinetic Modeling
title_short Development and Evaluation of a Virtual Population of Children with Obesity for Physiologically Based Pharmacokinetic Modeling
title_sort development and evaluation of a virtual population of children with obesity for physiologically based pharmacokinetic modeling
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813791/
https://www.ncbi.nlm.nih.gov/pubmed/34617262
http://dx.doi.org/10.1007/s40262-021-01072-4
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