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An integrated physiology model to study regional lung damage effects and the physiologic response

BACKGROUND: This work expands upon a previously developed exercise dynamic physiology model (DPM) with the addition of an anatomic pulmonary system in order to quantify the impact of lung damage on oxygen transport and physical performance decrement. METHODS: A pulmonary model is derived with an ana...

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Autores principales: Shelley, David A, Sih, Bryant L, Ng, Laurel J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164122/
https://www.ncbi.nlm.nih.gov/pubmed/25044032
http://dx.doi.org/10.1186/1742-4682-11-32
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author Shelley, David A
Sih, Bryant L
Ng, Laurel J
author_facet Shelley, David A
Sih, Bryant L
Ng, Laurel J
author_sort Shelley, David A
collection PubMed
description BACKGROUND: This work expands upon a previously developed exercise dynamic physiology model (DPM) with the addition of an anatomic pulmonary system in order to quantify the impact of lung damage on oxygen transport and physical performance decrement. METHODS: A pulmonary model is derived with an anatomic structure based on morphometric measurements, accounting for heterogeneous ventilation and perfusion observed experimentally. The model is incorporated into an existing exercise physiology model; the combined system is validated using human exercise data. Pulmonary damage from blast, blunt trauma, and chemical injury is quantified in the model based on lung fluid infiltration (edema) which reduces oxygen delivery to the blood. The pulmonary damage component is derived and calibrated based on published animal experiments; scaling laws are used to predict the human response to lung injury in terms of physical performance decrement. RESULTS: The augmented dynamic physiology model (DPM) accurately predicted the human response to hypoxia, altitude, and exercise observed experimentally. The pulmonary damage parameters (shunt and diffusing capacity reduction) were fit to experimental animal data obtained in blast, blunt trauma, and chemical damage studies which link lung damage to lung weight change; the model is able to predict the reduced oxygen delivery in damage conditions. The model accurately estimates physical performance reduction with pulmonary damage. CONCLUSIONS: We have developed a physiologically-based mathematical model to predict performance decrement endpoints in the presence of thoracic damage; simulations can be extended to estimate human performance and escape in extreme situations.
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spelling pubmed-41641222014-09-25 An integrated physiology model to study regional lung damage effects and the physiologic response Shelley, David A Sih, Bryant L Ng, Laurel J Theor Biol Med Model Research BACKGROUND: This work expands upon a previously developed exercise dynamic physiology model (DPM) with the addition of an anatomic pulmonary system in order to quantify the impact of lung damage on oxygen transport and physical performance decrement. METHODS: A pulmonary model is derived with an anatomic structure based on morphometric measurements, accounting for heterogeneous ventilation and perfusion observed experimentally. The model is incorporated into an existing exercise physiology model; the combined system is validated using human exercise data. Pulmonary damage from blast, blunt trauma, and chemical injury is quantified in the model based on lung fluid infiltration (edema) which reduces oxygen delivery to the blood. The pulmonary damage component is derived and calibrated based on published animal experiments; scaling laws are used to predict the human response to lung injury in terms of physical performance decrement. RESULTS: The augmented dynamic physiology model (DPM) accurately predicted the human response to hypoxia, altitude, and exercise observed experimentally. The pulmonary damage parameters (shunt and diffusing capacity reduction) were fit to experimental animal data obtained in blast, blunt trauma, and chemical damage studies which link lung damage to lung weight change; the model is able to predict the reduced oxygen delivery in damage conditions. The model accurately estimates physical performance reduction with pulmonary damage. CONCLUSIONS: We have developed a physiologically-based mathematical model to predict performance decrement endpoints in the presence of thoracic damage; simulations can be extended to estimate human performance and escape in extreme situations. BioMed Central 2014-07-21 /pmc/articles/PMC4164122/ /pubmed/25044032 http://dx.doi.org/10.1186/1742-4682-11-32 Text en Copyright © 2014 Shelley et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Shelley, David A
Sih, Bryant L
Ng, Laurel J
An integrated physiology model to study regional lung damage effects and the physiologic response
title An integrated physiology model to study regional lung damage effects and the physiologic response
title_full An integrated physiology model to study regional lung damage effects and the physiologic response
title_fullStr An integrated physiology model to study regional lung damage effects and the physiologic response
title_full_unstemmed An integrated physiology model to study regional lung damage effects and the physiologic response
title_short An integrated physiology model to study regional lung damage effects and the physiologic response
title_sort integrated physiology model to study regional lung damage effects and the physiologic response
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164122/
https://www.ncbi.nlm.nih.gov/pubmed/25044032
http://dx.doi.org/10.1186/1742-4682-11-32
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