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Physiologically‐Based Pharmacokinetic Modeling of Fluconazole Using Plasma and Cerebrospinal Fluid Samples From Preterm and Term Infants
Fluconazole is used to treat hematogenous Candida meningoencephalitis in preterm and term infants. To characterize plasma and central nervous system exposure, an adult fluconazole physiologically‐based pharmacokinetic (PBPK) model was scaled to infants, accounting for age dependencies in glomerular...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6656941/ https://www.ncbi.nlm.nih.gov/pubmed/31087536 http://dx.doi.org/10.1002/psp4.12414 |
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author | Gerhart, Jacqueline G. Watt, Kevin M. Edginton, Andrea Wade, Kelly C. Salerno, Sara N. Benjamin, Daniel K. Smith, P. Brian Hornik, Christoph P. Cohen‐Wolkowiez, Michael Duara, Shahnaz Ross, Ashley Shattuck, Karen Stewart, Dan L. Neu, Natalie Gonzalez, Daniel |
author_facet | Gerhart, Jacqueline G. Watt, Kevin M. Edginton, Andrea Wade, Kelly C. Salerno, Sara N. Benjamin, Daniel K. Smith, P. Brian Hornik, Christoph P. Cohen‐Wolkowiez, Michael Duara, Shahnaz Ross, Ashley Shattuck, Karen Stewart, Dan L. Neu, Natalie Gonzalez, Daniel |
author_sort | Gerhart, Jacqueline G. |
collection | PubMed |
description | Fluconazole is used to treat hematogenous Candida meningoencephalitis in preterm and term infants. To characterize plasma and central nervous system exposure, an adult fluconazole physiologically‐based pharmacokinetic (PBPK) model was scaled to infants, accounting for age dependencies in glomerular filtration and metabolism. The model was optimized using 760 plasma samples from 166 infants (median postmenstrual age (range) 28 weeks (24–50)) and 27 cerebrospinal fluid (CSF) samples from 22 infants (postmenstrual age 28 weeks (24–33)). Simulations evaluated achievement of the surrogate efficacy target of area under the unbound concentration‐time curve ≥ 400 mg • hour/L over the dosing interval in plasma and CSF using dosing guidelines. Average fold error of predicted concentrations was 0.73 and 1.14 for plasma and CSF, respectively. Target attainment in plasma and CSF was reached faster after incorporating a loading dose of 25 mg/kg. PBPK modeling can be useful in exploring CNS kinetics of drugs in children. |
format | Online Article Text |
id | pubmed-6656941 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66569412019-07-31 Physiologically‐Based Pharmacokinetic Modeling of Fluconazole Using Plasma and Cerebrospinal Fluid Samples From Preterm and Term Infants Gerhart, Jacqueline G. Watt, Kevin M. Edginton, Andrea Wade, Kelly C. Salerno, Sara N. Benjamin, Daniel K. Smith, P. Brian Hornik, Christoph P. Cohen‐Wolkowiez, Michael Duara, Shahnaz Ross, Ashley Shattuck, Karen Stewart, Dan L. Neu, Natalie Gonzalez, Daniel CPT Pharmacometrics Syst Pharmacol Research Fluconazole is used to treat hematogenous Candida meningoencephalitis in preterm and term infants. To characterize plasma and central nervous system exposure, an adult fluconazole physiologically‐based pharmacokinetic (PBPK) model was scaled to infants, accounting for age dependencies in glomerular filtration and metabolism. The model was optimized using 760 plasma samples from 166 infants (median postmenstrual age (range) 28 weeks (24–50)) and 27 cerebrospinal fluid (CSF) samples from 22 infants (postmenstrual age 28 weeks (24–33)). Simulations evaluated achievement of the surrogate efficacy target of area under the unbound concentration‐time curve ≥ 400 mg • hour/L over the dosing interval in plasma and CSF using dosing guidelines. Average fold error of predicted concentrations was 0.73 and 1.14 for plasma and CSF, respectively. Target attainment in plasma and CSF was reached faster after incorporating a loading dose of 25 mg/kg. PBPK modeling can be useful in exploring CNS kinetics of drugs in children. John Wiley and Sons Inc. 2019-05-22 2019-07 /pmc/articles/PMC6656941/ /pubmed/31087536 http://dx.doi.org/10.1002/psp4.12414 Text en © 2019 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Gerhart, Jacqueline G. Watt, Kevin M. Edginton, Andrea Wade, Kelly C. Salerno, Sara N. Benjamin, Daniel K. Smith, P. Brian Hornik, Christoph P. Cohen‐Wolkowiez, Michael Duara, Shahnaz Ross, Ashley Shattuck, Karen Stewart, Dan L. Neu, Natalie Gonzalez, Daniel Physiologically‐Based Pharmacokinetic Modeling of Fluconazole Using Plasma and Cerebrospinal Fluid Samples From Preterm and Term Infants |
title | Physiologically‐Based Pharmacokinetic Modeling of Fluconazole Using Plasma and Cerebrospinal Fluid Samples From Preterm and Term Infants |
title_full | Physiologically‐Based Pharmacokinetic Modeling of Fluconazole Using Plasma and Cerebrospinal Fluid Samples From Preterm and Term Infants |
title_fullStr | Physiologically‐Based Pharmacokinetic Modeling of Fluconazole Using Plasma and Cerebrospinal Fluid Samples From Preterm and Term Infants |
title_full_unstemmed | Physiologically‐Based Pharmacokinetic Modeling of Fluconazole Using Plasma and Cerebrospinal Fluid Samples From Preterm and Term Infants |
title_short | Physiologically‐Based Pharmacokinetic Modeling of Fluconazole Using Plasma and Cerebrospinal Fluid Samples From Preterm and Term Infants |
title_sort | physiologically‐based pharmacokinetic modeling of fluconazole using plasma and cerebrospinal fluid samples from preterm and term infants |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6656941/ https://www.ncbi.nlm.nih.gov/pubmed/31087536 http://dx.doi.org/10.1002/psp4.12414 |
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