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Two different approaches for pharmacokinetic modeling of exhaled drug concentrations

Online measurement of drug concentrations in patient's breath is a promising approach for individualized dosage. A direct transfer from breath- to blood-concentrations is not possible. Measured exhaled concentrations are following the blood-concentration with a delay in non-steady-state situati...

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Autores principales: Kreuer, S., Hauschild, A., Fink, T., Baumbach, J. I., Maddula, S., Volk, Th.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4067807/
https://www.ncbi.nlm.nih.gov/pubmed/24957852
http://dx.doi.org/10.1038/srep05423
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author Kreuer, S.
Hauschild, A.
Fink, T.
Baumbach, J. I.
Maddula, S.
Volk, Th.
author_facet Kreuer, S.
Hauschild, A.
Fink, T.
Baumbach, J. I.
Maddula, S.
Volk, Th.
author_sort Kreuer, S.
collection PubMed
description Online measurement of drug concentrations in patient's breath is a promising approach for individualized dosage. A direct transfer from breath- to blood-concentrations is not possible. Measured exhaled concentrations are following the blood-concentration with a delay in non-steady-state situations. Therefore, it is necessary to integrate the breath-concentration into a pharmacological model. Two different approaches for pharmacokinetic modelling are presented. Usually a 3-compartment model is used for pharmacokinetic calculations of blood concentrations. This 3-compartment model is extended with a 2-compartment model based on the first compartment of the 3-compartment model and a new lung compartment. The second approach is to calculate a time delay of changes in the concentration of the first compartment to describe the lung-concentration. Exemplarily both approaches are used for modelling of exhaled propofol. Based on time series of exhaled propofol measurements using an ion-mobility-spectrometer every minute for 346 min a correlation of calculated plasma and the breath concentration was used for modelling to deliver R(2) = 0.99 interdependencies. Including the time delay modelling approach the new compartment coefficient k(e0lung) was calculated to k(e0lung) = 0.27 min(−1) with R(2) = 0.96. The described models are not limited to propofol. They could be used for any kind of drugs, which are measurable in patient's breath.
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spelling pubmed-40678072014-06-24 Two different approaches for pharmacokinetic modeling of exhaled drug concentrations Kreuer, S. Hauschild, A. Fink, T. Baumbach, J. I. Maddula, S. Volk, Th. Sci Rep Article Online measurement of drug concentrations in patient's breath is a promising approach for individualized dosage. A direct transfer from breath- to blood-concentrations is not possible. Measured exhaled concentrations are following the blood-concentration with a delay in non-steady-state situations. Therefore, it is necessary to integrate the breath-concentration into a pharmacological model. Two different approaches for pharmacokinetic modelling are presented. Usually a 3-compartment model is used for pharmacokinetic calculations of blood concentrations. This 3-compartment model is extended with a 2-compartment model based on the first compartment of the 3-compartment model and a new lung compartment. The second approach is to calculate a time delay of changes in the concentration of the first compartment to describe the lung-concentration. Exemplarily both approaches are used for modelling of exhaled propofol. Based on time series of exhaled propofol measurements using an ion-mobility-spectrometer every minute for 346 min a correlation of calculated plasma and the breath concentration was used for modelling to deliver R(2) = 0.99 interdependencies. Including the time delay modelling approach the new compartment coefficient k(e0lung) was calculated to k(e0lung) = 0.27 min(−1) with R(2) = 0.96. The described models are not limited to propofol. They could be used for any kind of drugs, which are measurable in patient's breath. Nature Publishing Group 2014-06-24 /pmc/articles/PMC4067807/ /pubmed/24957852 http://dx.doi.org/10.1038/srep05423 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Kreuer, S.
Hauschild, A.
Fink, T.
Baumbach, J. I.
Maddula, S.
Volk, Th.
Two different approaches for pharmacokinetic modeling of exhaled drug concentrations
title Two different approaches for pharmacokinetic modeling of exhaled drug concentrations
title_full Two different approaches for pharmacokinetic modeling of exhaled drug concentrations
title_fullStr Two different approaches for pharmacokinetic modeling of exhaled drug concentrations
title_full_unstemmed Two different approaches for pharmacokinetic modeling of exhaled drug concentrations
title_short Two different approaches for pharmacokinetic modeling of exhaled drug concentrations
title_sort two different approaches for pharmacokinetic modeling of exhaled drug concentrations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4067807/
https://www.ncbi.nlm.nih.gov/pubmed/24957852
http://dx.doi.org/10.1038/srep05423
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