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Intracycle power distribution in a heterogeneous multi-compartmental mathematical model: possible links to strain and VILI

BACKGROUND: Repeated expenditure of energy and its generation of damaging strain are required to injure the lung by ventilation (VILI). Mathematical modeling of passively inflated, single-compartment lungs with uniform parameters for resistance and compliance indicates that standard clinical modes (...

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Autores principales: Crooke, Philip S., Gattinoni, Luciano, Michalik, Michael, Marini, John J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156592/
https://www.ncbi.nlm.nih.gov/pubmed/35641652
http://dx.doi.org/10.1186/s40635-022-00447-6
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author Crooke, Philip S.
Gattinoni, Luciano
Michalik, Michael
Marini, John J.
author_facet Crooke, Philip S.
Gattinoni, Luciano
Michalik, Michael
Marini, John J.
author_sort Crooke, Philip S.
collection PubMed
description BACKGROUND: Repeated expenditure of energy and its generation of damaging strain are required to injure the lung by ventilation (VILI). Mathematical modeling of passively inflated, single-compartment lungs with uniform parameters for resistance and compliance indicates that standard clinical modes (flow patterns) differ impressively with respect to the timing and intensity of energy delivery—the intracycle power (ICP) that determines parenchymal stress and strain. Although measures of elastic ICP may accurately characterize instantaneous rates of global energy delivery, how the ICP component delivered to a compartment affects the VILI-linked variable of strain is determined by compartmental mechanics, compartmental size and mode of gas delivery. We extended our one-compartment model of ICP to a multi-compartment setting that varied those characteristics. MAIN FINDINGS: The primary findings of this model/simulation indicate that: (1) the strain and strain rate experienced within a modeled compartment are nonlinear functions of delivered energy and power, respectively; (2) for a given combination of flow profile and tidal volume, resting compartmental volumes influence their resulting maximal strains in response to breath delivery; (3) flow profile is a key determinant of the maximal strain as well as maximal strain rate experienced within a multi-compartment lung. By implication, different clinician-selected flow profiles not only influence the timing of power delivery, but also spatially distribute the attendant strains of expansion among compartments with diverse mechanical properties. Importantly, the contours and magnitudes of the compartmental ICP, strain, and strain rate curves are not congruent; strain and strain rate do not necessarily follow the compartmental ICP, and the hierarchy of amplitudes among compartments for these variables may not coincide. CONCLUSIONS: Different flow patterns impact how strain and strain rate develop as compartmental volume crests to its final value. Notably, as inflation proceeds, strain rate may rise or fall even as total strain, a monotonic function of volume, steadily (and predictably) rises. Which flow pattern serves best to minimize the maximal strain rate and VILI risk experienced within any sector, therefore, may strongly depend on the nature and heterogeneity of the mechanical properties of the injured lung. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40635-022-00447-6.
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spelling pubmed-91565922022-06-02 Intracycle power distribution in a heterogeneous multi-compartmental mathematical model: possible links to strain and VILI Crooke, Philip S. Gattinoni, Luciano Michalik, Michael Marini, John J. Intensive Care Med Exp Research Articles BACKGROUND: Repeated expenditure of energy and its generation of damaging strain are required to injure the lung by ventilation (VILI). Mathematical modeling of passively inflated, single-compartment lungs with uniform parameters for resistance and compliance indicates that standard clinical modes (flow patterns) differ impressively with respect to the timing and intensity of energy delivery—the intracycle power (ICP) that determines parenchymal stress and strain. Although measures of elastic ICP may accurately characterize instantaneous rates of global energy delivery, how the ICP component delivered to a compartment affects the VILI-linked variable of strain is determined by compartmental mechanics, compartmental size and mode of gas delivery. We extended our one-compartment model of ICP to a multi-compartment setting that varied those characteristics. MAIN FINDINGS: The primary findings of this model/simulation indicate that: (1) the strain and strain rate experienced within a modeled compartment are nonlinear functions of delivered energy and power, respectively; (2) for a given combination of flow profile and tidal volume, resting compartmental volumes influence their resulting maximal strains in response to breath delivery; (3) flow profile is a key determinant of the maximal strain as well as maximal strain rate experienced within a multi-compartment lung. By implication, different clinician-selected flow profiles not only influence the timing of power delivery, but also spatially distribute the attendant strains of expansion among compartments with diverse mechanical properties. Importantly, the contours and magnitudes of the compartmental ICP, strain, and strain rate curves are not congruent; strain and strain rate do not necessarily follow the compartmental ICP, and the hierarchy of amplitudes among compartments for these variables may not coincide. CONCLUSIONS: Different flow patterns impact how strain and strain rate develop as compartmental volume crests to its final value. Notably, as inflation proceeds, strain rate may rise or fall even as total strain, a monotonic function of volume, steadily (and predictably) rises. Which flow pattern serves best to minimize the maximal strain rate and VILI risk experienced within any sector, therefore, may strongly depend on the nature and heterogeneity of the mechanical properties of the injured lung. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40635-022-00447-6. Springer International Publishing 2022-06-01 /pmc/articles/PMC9156592/ /pubmed/35641652 http://dx.doi.org/10.1186/s40635-022-00447-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Articles
Crooke, Philip S.
Gattinoni, Luciano
Michalik, Michael
Marini, John J.
Intracycle power distribution in a heterogeneous multi-compartmental mathematical model: possible links to strain and VILI
title Intracycle power distribution in a heterogeneous multi-compartmental mathematical model: possible links to strain and VILI
title_full Intracycle power distribution in a heterogeneous multi-compartmental mathematical model: possible links to strain and VILI
title_fullStr Intracycle power distribution in a heterogeneous multi-compartmental mathematical model: possible links to strain and VILI
title_full_unstemmed Intracycle power distribution in a heterogeneous multi-compartmental mathematical model: possible links to strain and VILI
title_short Intracycle power distribution in a heterogeneous multi-compartmental mathematical model: possible links to strain and VILI
title_sort intracycle power distribution in a heterogeneous multi-compartmental mathematical model: possible links to strain and vili
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156592/
https://www.ncbi.nlm.nih.gov/pubmed/35641652
http://dx.doi.org/10.1186/s40635-022-00447-6
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