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A Whole-Body Mathematical Model of Sepsis Progression and Treatment Designed in the BioGears Physiology Engine
Sepsis is a debilitating condition associated with a high mortality rate that greatly strains hospital resources. Though advances have been made in improving sepsis diagnosis and treatment, our understanding of the disease is far from complete. Mathematical modeling of sepsis has the potential to ex...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6813930/ https://www.ncbi.nlm.nih.gov/pubmed/31681022 http://dx.doi.org/10.3389/fphys.2019.01321 |
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author | McDaniel, Matthew Keller, Jonathan M. White, Steven Baird, Austin |
author_facet | McDaniel, Matthew Keller, Jonathan M. White, Steven Baird, Austin |
author_sort | McDaniel, Matthew |
collection | PubMed |
description | Sepsis is a debilitating condition associated with a high mortality rate that greatly strains hospital resources. Though advances have been made in improving sepsis diagnosis and treatment, our understanding of the disease is far from complete. Mathematical modeling of sepsis has the potential to explore underlying biological mechanisms and patient phenotypes that contribute to variability in septic patient outcomes. We developed a comprehensive, whole-body mathematical model of sepsis pathophysiology using the BioGears Engine, a robust open-source virtual human modeling project. We describe the development of a sepsis model and the physiologic response within the BioGears framework. We then define and simulate scenarios that compare sepsis treatment regimens. As such, we demonstrate the utility of this model as a tool to augment sepsis research and as a training platform to educate medical staff. |
format | Online Article Text |
id | pubmed-6813930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68139302019-11-01 A Whole-Body Mathematical Model of Sepsis Progression and Treatment Designed in the BioGears Physiology Engine McDaniel, Matthew Keller, Jonathan M. White, Steven Baird, Austin Front Physiol Physiology Sepsis is a debilitating condition associated with a high mortality rate that greatly strains hospital resources. Though advances have been made in improving sepsis diagnosis and treatment, our understanding of the disease is far from complete. Mathematical modeling of sepsis has the potential to explore underlying biological mechanisms and patient phenotypes that contribute to variability in septic patient outcomes. We developed a comprehensive, whole-body mathematical model of sepsis pathophysiology using the BioGears Engine, a robust open-source virtual human modeling project. We describe the development of a sepsis model and the physiologic response within the BioGears framework. We then define and simulate scenarios that compare sepsis treatment regimens. As such, we demonstrate the utility of this model as a tool to augment sepsis research and as a training platform to educate medical staff. Frontiers Media S.A. 2019-10-18 /pmc/articles/PMC6813930/ /pubmed/31681022 http://dx.doi.org/10.3389/fphys.2019.01321 Text en Copyright © 2019 McDaniel, Keller, White and Baird. http://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 | Physiology McDaniel, Matthew Keller, Jonathan M. White, Steven Baird, Austin A Whole-Body Mathematical Model of Sepsis Progression and Treatment Designed in the BioGears Physiology Engine |
title | A Whole-Body Mathematical Model of Sepsis Progression and Treatment Designed in the BioGears Physiology Engine |
title_full | A Whole-Body Mathematical Model of Sepsis Progression and Treatment Designed in the BioGears Physiology Engine |
title_fullStr | A Whole-Body Mathematical Model of Sepsis Progression and Treatment Designed in the BioGears Physiology Engine |
title_full_unstemmed | A Whole-Body Mathematical Model of Sepsis Progression and Treatment Designed in the BioGears Physiology Engine |
title_short | A Whole-Body Mathematical Model of Sepsis Progression and Treatment Designed in the BioGears Physiology Engine |
title_sort | whole-body mathematical model of sepsis progression and treatment designed in the biogears physiology engine |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6813930/ https://www.ncbi.nlm.nih.gov/pubmed/31681022 http://dx.doi.org/10.3389/fphys.2019.01321 |
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