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Quantification of Age-Related Lung Tissue Mechanics under Mechanical Ventilation

Elderly patients with obstructive lung diseases often receive mechanical ventilation to support their breathing and restore respiratory function. However, mechanical ventilation is known to increase the severity of ventilator-induced lung injury (VILI) in the elderly. Therefore, it is important to i...

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Autores principales: Kim, JongWon, Heise, Rebecca L., Reynolds, Angela M., Pidaparti, Ramana M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753650/
https://www.ncbi.nlm.nih.gov/pubmed/29099037
http://dx.doi.org/10.3390/medsci5040021
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author Kim, JongWon
Heise, Rebecca L.
Reynolds, Angela M.
Pidaparti, Ramana M.
author_facet Kim, JongWon
Heise, Rebecca L.
Reynolds, Angela M.
Pidaparti, Ramana M.
author_sort Kim, JongWon
collection PubMed
description Elderly patients with obstructive lung diseases often receive mechanical ventilation to support their breathing and restore respiratory function. However, mechanical ventilation is known to increase the severity of ventilator-induced lung injury (VILI) in the elderly. Therefore, it is important to investigate the effects of aging to better understand the lung tissue mechanics to estimate the severity of ventilator-induced lung injuries. Two age-related geometric models involving human bronchioles from generation G10 to G23 and alveolar sacs were developed. The first is for a 50-year-old (normal) and second is for an 80-year old (aged) model. Lung tissue mechanics of normal and aged models were investigated under mechanical ventilation through computational simulations. Results obtained indicated that lung tissue strains during inhalation (t = 0.2 s) decreased by about 40% in the alveolar sac (G23) and 27% in the bronchiole (G20), respectively, for the 80-year-old as compared to the 50-year-old. The respiratory mechanics parameters (work of breathing per unit volume and maximum tissue strain) over G20 and G23 for the 80-year-old decreased by about 64% (three-fold) and 80% (four-fold), respectively, during the mechanical ventilation breathing cycle. However, there was a significant increase (by about threefold) in lung compliance for the 80-year-old in comparison to the 50-year-old. These findings from the computational simulations demonstrated that lung mechanical characteristics are significantly compromised in aging tissues, and these effects were quantified in this study.
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spelling pubmed-57536502018-01-08 Quantification of Age-Related Lung Tissue Mechanics under Mechanical Ventilation Kim, JongWon Heise, Rebecca L. Reynolds, Angela M. Pidaparti, Ramana M. Med Sci (Basel) Article Elderly patients with obstructive lung diseases often receive mechanical ventilation to support their breathing and restore respiratory function. However, mechanical ventilation is known to increase the severity of ventilator-induced lung injury (VILI) in the elderly. Therefore, it is important to investigate the effects of aging to better understand the lung tissue mechanics to estimate the severity of ventilator-induced lung injuries. Two age-related geometric models involving human bronchioles from generation G10 to G23 and alveolar sacs were developed. The first is for a 50-year-old (normal) and second is for an 80-year old (aged) model. Lung tissue mechanics of normal and aged models were investigated under mechanical ventilation through computational simulations. Results obtained indicated that lung tissue strains during inhalation (t = 0.2 s) decreased by about 40% in the alveolar sac (G23) and 27% in the bronchiole (G20), respectively, for the 80-year-old as compared to the 50-year-old. The respiratory mechanics parameters (work of breathing per unit volume and maximum tissue strain) over G20 and G23 for the 80-year-old decreased by about 64% (three-fold) and 80% (four-fold), respectively, during the mechanical ventilation breathing cycle. However, there was a significant increase (by about threefold) in lung compliance for the 80-year-old in comparison to the 50-year-old. These findings from the computational simulations demonstrated that lung mechanical characteristics are significantly compromised in aging tissues, and these effects were quantified in this study. MDPI 2017-09-29 /pmc/articles/PMC5753650/ /pubmed/29099037 http://dx.doi.org/10.3390/medsci5040021 Text en © 2017 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, JongWon
Heise, Rebecca L.
Reynolds, Angela M.
Pidaparti, Ramana M.
Quantification of Age-Related Lung Tissue Mechanics under Mechanical Ventilation
title Quantification of Age-Related Lung Tissue Mechanics under Mechanical Ventilation
title_full Quantification of Age-Related Lung Tissue Mechanics under Mechanical Ventilation
title_fullStr Quantification of Age-Related Lung Tissue Mechanics under Mechanical Ventilation
title_full_unstemmed Quantification of Age-Related Lung Tissue Mechanics under Mechanical Ventilation
title_short Quantification of Age-Related Lung Tissue Mechanics under Mechanical Ventilation
title_sort quantification of age-related lung tissue mechanics under mechanical ventilation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753650/
https://www.ncbi.nlm.nih.gov/pubmed/29099037
http://dx.doi.org/10.3390/medsci5040021
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