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Development of a Population Pharmacokinetic Model of Busulfan in Children and Evaluation of Different Sampling Schedules for Precision Dosing

We develop a population pharmacokinetic model to describe Busulfan pharmacokinetics in paediatric patients and investigate by simulations the impact of various sampling schedules on the calculation of AUC. Seventy-six children had 2 h infusions every 6 h. A two-compartment linear model was found to...

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Autores principales: Neroutsos, Efthymios, Nalda-Molina, Ricardo, Paisiou, Anna, Zisaki, Kalliopi, Goussetis, Evgenios, Spyridonidis, Alexandros, Kitra, Vasiliki, Grafakos, Stelios, Valsami, Georgia, Dokoumetzidis, Aristides
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948694/
https://www.ncbi.nlm.nih.gov/pubmed/35336021
http://dx.doi.org/10.3390/pharmaceutics14030647
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author Neroutsos, Efthymios
Nalda-Molina, Ricardo
Paisiou, Anna
Zisaki, Kalliopi
Goussetis, Evgenios
Spyridonidis, Alexandros
Kitra, Vasiliki
Grafakos, Stelios
Valsami, Georgia
Dokoumetzidis, Aristides
author_facet Neroutsos, Efthymios
Nalda-Molina, Ricardo
Paisiou, Anna
Zisaki, Kalliopi
Goussetis, Evgenios
Spyridonidis, Alexandros
Kitra, Vasiliki
Grafakos, Stelios
Valsami, Georgia
Dokoumetzidis, Aristides
author_sort Neroutsos, Efthymios
collection PubMed
description We develop a population pharmacokinetic model to describe Busulfan pharmacokinetics in paediatric patients and investigate by simulations the impact of various sampling schedules on the calculation of AUC. Seventy-six children had 2 h infusions every 6 h. A two-compartment linear model was found to adequately describe the data. A lag-time was introduced to account for the delay of the administration of the drug through the infusion pump. The mean values of clearance, central volume of distribution, intercompartmental clearance, and peripheral volume of distribution were 10.7 L/h, 39.5 L, 4.68 L/h and 17.5 L, respectively, normalized for a Body Weight (BW) of 70 kg. BW was found to explain a portion of variability with an allometric relationship and fixed exponents of 0.75 on clearance parameters and 1 on volumes. Interindividual variability for clearance and volume of distribution was found to be 28% and 41%, respectively, and interoccasion variability for clearance was found to be 11%. Three sampling schedules were assessed by simulations for bias and imprecision to calculate AUC by a non-compartmental and a model-based method. The latter was found to be superior in all cases, while the non-compartmental was unbiased only in sampling up to 12 h corresponding to a once-daily dosing regimen.
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spelling pubmed-89486942022-03-26 Development of a Population Pharmacokinetic Model of Busulfan in Children and Evaluation of Different Sampling Schedules for Precision Dosing Neroutsos, Efthymios Nalda-Molina, Ricardo Paisiou, Anna Zisaki, Kalliopi Goussetis, Evgenios Spyridonidis, Alexandros Kitra, Vasiliki Grafakos, Stelios Valsami, Georgia Dokoumetzidis, Aristides Pharmaceutics Article We develop a population pharmacokinetic model to describe Busulfan pharmacokinetics in paediatric patients and investigate by simulations the impact of various sampling schedules on the calculation of AUC. Seventy-six children had 2 h infusions every 6 h. A two-compartment linear model was found to adequately describe the data. A lag-time was introduced to account for the delay of the administration of the drug through the infusion pump. The mean values of clearance, central volume of distribution, intercompartmental clearance, and peripheral volume of distribution were 10.7 L/h, 39.5 L, 4.68 L/h and 17.5 L, respectively, normalized for a Body Weight (BW) of 70 kg. BW was found to explain a portion of variability with an allometric relationship and fixed exponents of 0.75 on clearance parameters and 1 on volumes. Interindividual variability for clearance and volume of distribution was found to be 28% and 41%, respectively, and interoccasion variability for clearance was found to be 11%. Three sampling schedules were assessed by simulations for bias and imprecision to calculate AUC by a non-compartmental and a model-based method. The latter was found to be superior in all cases, while the non-compartmental was unbiased only in sampling up to 12 h corresponding to a once-daily dosing regimen. MDPI 2022-03-15 /pmc/articles/PMC8948694/ /pubmed/35336021 http://dx.doi.org/10.3390/pharmaceutics14030647 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Neroutsos, Efthymios
Nalda-Molina, Ricardo
Paisiou, Anna
Zisaki, Kalliopi
Goussetis, Evgenios
Spyridonidis, Alexandros
Kitra, Vasiliki
Grafakos, Stelios
Valsami, Georgia
Dokoumetzidis, Aristides
Development of a Population Pharmacokinetic Model of Busulfan in Children and Evaluation of Different Sampling Schedules for Precision Dosing
title Development of a Population Pharmacokinetic Model of Busulfan in Children and Evaluation of Different Sampling Schedules for Precision Dosing
title_full Development of a Population Pharmacokinetic Model of Busulfan in Children and Evaluation of Different Sampling Schedules for Precision Dosing
title_fullStr Development of a Population Pharmacokinetic Model of Busulfan in Children and Evaluation of Different Sampling Schedules for Precision Dosing
title_full_unstemmed Development of a Population Pharmacokinetic Model of Busulfan in Children and Evaluation of Different Sampling Schedules for Precision Dosing
title_short Development of a Population Pharmacokinetic Model of Busulfan in Children and Evaluation of Different Sampling Schedules for Precision Dosing
title_sort development of a population pharmacokinetic model of busulfan in children and evaluation of different sampling schedules for precision dosing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948694/
https://www.ncbi.nlm.nih.gov/pubmed/35336021
http://dx.doi.org/10.3390/pharmaceutics14030647
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