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Modeling Challenge Data to Quantify Endogenous Lactate Production
With the intention of isolating the susceptibility of modeling methodology to influence our investigation of the infusion data, we used three kinetic approaches to our models: a simple approach, a unit approach, and a novel approach. The simple approach used exclusively built-in modeling features of...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277460/ https://www.ncbi.nlm.nih.gov/pubmed/34267726 http://dx.doi.org/10.3389/fendo.2021.656054 |
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author | Stefanovski, Darko Wilkins, Pamela A. Boston, Raymond C. |
author_facet | Stefanovski, Darko Wilkins, Pamela A. Boston, Raymond C. |
author_sort | Stefanovski, Darko |
collection | PubMed |
description | With the intention of isolating the susceptibility of modeling methodology to influence our investigation of the infusion data, we used three kinetic approaches to our models: a simple approach, a unit approach, and a novel approach. The simple approach used exclusively built-in modeling features of the software in terms of units of the infusion dilution (mmol/L), as well as in terms of the precision of switching the infusion on and off. The unit approach used the same switching mechanism as the simple approach, but the units were modeled in those of the infusion (e.g., mmol/kg). Thirdly with the novel approach, we used an automated approach to controlling the infusion, in the sense that as the modeling mechanism sensed the slowdown of the infusion, it was gradually turned off. The units of the analysis for the novel approach were exactly the same as those deployed in the unit approach. Our objective here was to see if common pharmacokinetic parameters were seriously impacted by the particular modeling method. |
format | Online Article Text |
id | pubmed-8277460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82774602021-07-14 Modeling Challenge Data to Quantify Endogenous Lactate Production Stefanovski, Darko Wilkins, Pamela A. Boston, Raymond C. Front Endocrinol (Lausanne) Endocrinology With the intention of isolating the susceptibility of modeling methodology to influence our investigation of the infusion data, we used three kinetic approaches to our models: a simple approach, a unit approach, and a novel approach. The simple approach used exclusively built-in modeling features of the software in terms of units of the infusion dilution (mmol/L), as well as in terms of the precision of switching the infusion on and off. The unit approach used the same switching mechanism as the simple approach, but the units were modeled in those of the infusion (e.g., mmol/kg). Thirdly with the novel approach, we used an automated approach to controlling the infusion, in the sense that as the modeling mechanism sensed the slowdown of the infusion, it was gradually turned off. The units of the analysis for the novel approach were exactly the same as those deployed in the unit approach. Our objective here was to see if common pharmacokinetic parameters were seriously impacted by the particular modeling method. Frontiers Media S.A. 2021-06-28 /pmc/articles/PMC8277460/ /pubmed/34267726 http://dx.doi.org/10.3389/fendo.2021.656054 Text en Copyright © 2021 Stefanovski, Wilkins and Boston https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Stefanovski, Darko Wilkins, Pamela A. Boston, Raymond C. Modeling Challenge Data to Quantify Endogenous Lactate Production |
title | Modeling Challenge Data to Quantify Endogenous Lactate Production |
title_full | Modeling Challenge Data to Quantify Endogenous Lactate Production |
title_fullStr | Modeling Challenge Data to Quantify Endogenous Lactate Production |
title_full_unstemmed | Modeling Challenge Data to Quantify Endogenous Lactate Production |
title_short | Modeling Challenge Data to Quantify Endogenous Lactate Production |
title_sort | modeling challenge data to quantify endogenous lactate production |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277460/ https://www.ncbi.nlm.nih.gov/pubmed/34267726 http://dx.doi.org/10.3389/fendo.2021.656054 |
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