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Non-linear parameters of specific resistance loops to characterise obstructive airways diseases

BACKGROUND: Specific resistance loops appear in different shapes influenced by different resistive properties of the airways, yet their descriptive ability is compressed to a single parameter - its slope. We aimed to develop new parameters reflecting the various shapes of the loop and to explore the...

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Autores principales: Topalovic, Marko, Exadaktylos, Vasileios, Troosters, Thierry, Celis, Geert, Aerts, Jean-Marie, Janssens, Wim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5220619/
https://www.ncbi.nlm.nih.gov/pubmed/28068996
http://dx.doi.org/10.1186/s12931-016-0484-7
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author Topalovic, Marko
Exadaktylos, Vasileios
Troosters, Thierry
Celis, Geert
Aerts, Jean-Marie
Janssens, Wim
author_facet Topalovic, Marko
Exadaktylos, Vasileios
Troosters, Thierry
Celis, Geert
Aerts, Jean-Marie
Janssens, Wim
author_sort Topalovic, Marko
collection PubMed
description BACKGROUND: Specific resistance loops appear in different shapes influenced by different resistive properties of the airways, yet their descriptive ability is compressed to a single parameter - its slope. We aimed to develop new parameters reflecting the various shapes of the loop and to explore their potential in the characterisation of obstructive airways diseases. METHODS: Our study included 134 subjects: Healthy controls (N = 22), Asthma with non-obstructive lung function (N = 22) and COPD of all disease stages (N = 90). Different shapes were described by geometrical and second-order transfer function parameters. RESULTS: Our parameters demonstrated no difference between asthma and healthy controls groups, but were significantly different (p < 0.0001) from the patients with COPD. Grouping mild COPD subjects by an open or not-open shape of the resistance loop revealed significant differences of loop parameters and classical lung function parameters. Multiple logistic regression indicated RV/TLC as the only predictor of loop opening with OR = 1.157, 95% CI (1.064–1.267), p-value = 0.0006 and R(2) = 0.35. Inducing airway narrowing in asthma gave equal shape measures as in COPD non-openers, but with a decreased slope (p < 0.0001). CONCLUSION: This study introduces new parameters calculated from the resistance loops which may correlate with different phenotypes of obstructive airways diseases.
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spelling pubmed-52206192017-01-11 Non-linear parameters of specific resistance loops to characterise obstructive airways diseases Topalovic, Marko Exadaktylos, Vasileios Troosters, Thierry Celis, Geert Aerts, Jean-Marie Janssens, Wim Respir Res Research BACKGROUND: Specific resistance loops appear in different shapes influenced by different resistive properties of the airways, yet their descriptive ability is compressed to a single parameter - its slope. We aimed to develop new parameters reflecting the various shapes of the loop and to explore their potential in the characterisation of obstructive airways diseases. METHODS: Our study included 134 subjects: Healthy controls (N = 22), Asthma with non-obstructive lung function (N = 22) and COPD of all disease stages (N = 90). Different shapes were described by geometrical and second-order transfer function parameters. RESULTS: Our parameters demonstrated no difference between asthma and healthy controls groups, but were significantly different (p < 0.0001) from the patients with COPD. Grouping mild COPD subjects by an open or not-open shape of the resistance loop revealed significant differences of loop parameters and classical lung function parameters. Multiple logistic regression indicated RV/TLC as the only predictor of loop opening with OR = 1.157, 95% CI (1.064–1.267), p-value = 0.0006 and R(2) = 0.35. Inducing airway narrowing in asthma gave equal shape measures as in COPD non-openers, but with a decreased slope (p < 0.0001). CONCLUSION: This study introduces new parameters calculated from the resistance loops which may correlate with different phenotypes of obstructive airways diseases. BioMed Central 2017-01-09 2017 /pmc/articles/PMC5220619/ /pubmed/28068996 http://dx.doi.org/10.1186/s12931-016-0484-7 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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
Topalovic, Marko
Exadaktylos, Vasileios
Troosters, Thierry
Celis, Geert
Aerts, Jean-Marie
Janssens, Wim
Non-linear parameters of specific resistance loops to characterise obstructive airways diseases
title Non-linear parameters of specific resistance loops to characterise obstructive airways diseases
title_full Non-linear parameters of specific resistance loops to characterise obstructive airways diseases
title_fullStr Non-linear parameters of specific resistance loops to characterise obstructive airways diseases
title_full_unstemmed Non-linear parameters of specific resistance loops to characterise obstructive airways diseases
title_short Non-linear parameters of specific resistance loops to characterise obstructive airways diseases
title_sort non-linear parameters of specific resistance loops to characterise obstructive airways diseases
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5220619/
https://www.ncbi.nlm.nih.gov/pubmed/28068996
http://dx.doi.org/10.1186/s12931-016-0484-7
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