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Functional Predictors Discriminating Asthma–COPD Overlap (ACO) from Chronic Obstructive Pulmonary Disease (COPD)

BACKGROUND: A significant proportion of patients with obstructive lung disease have clinical and functional features of both asthma and chronic obstructive pulmonary disease (COPD), referred to as the asthma–COPD overlap (ACO). The distinction of these phenotypes, however, is not yet well-establishe...

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Autores principales: Kraemer, Richard, Gardin, Fabian, Smith, Hans-Jürgen, Baty, Florent, Barandun, Jürg, Piecyk, Andreas, Minder, Stefan, Salomon, Jörg, Frey, Martin, Brutsche, Martin H, Matthys, Heinrich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9595126/
https://www.ncbi.nlm.nih.gov/pubmed/36304971
http://dx.doi.org/10.2147/COPD.S382761
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author Kraemer, Richard
Gardin, Fabian
Smith, Hans-Jürgen
Baty, Florent
Barandun, Jürg
Piecyk, Andreas
Minder, Stefan
Salomon, Jörg
Frey, Martin
Brutsche, Martin H
Matthys, Heinrich
author_facet Kraemer, Richard
Gardin, Fabian
Smith, Hans-Jürgen
Baty, Florent
Barandun, Jürg
Piecyk, Andreas
Minder, Stefan
Salomon, Jörg
Frey, Martin
Brutsche, Martin H
Matthys, Heinrich
author_sort Kraemer, Richard
collection PubMed
description BACKGROUND: A significant proportion of patients with obstructive lung disease have clinical and functional features of both asthma and chronic obstructive pulmonary disease (COPD), referred to as the asthma–COPD overlap (ACO). The distinction of these phenotypes, however, is not yet well-established due to the lack of defining clinical and/or functional criteria. The aim of our investigations was to assess the discriminating power of various lung function parameters on the assessment of ACO. METHODS: From databases of 4 pulmonary centers, a total of 540 patients (231 males, 309 females), including 372 patients with asthma, 77 patients with ACO and 91 patients with COPD, were retrospectively collected, and gradients among combinations of explanatory variables of spirometric (FEV(1), FEV(1)/FVC, FEF(25-75)), plethysmographic (sR(eff), sG(eff), the aerodynamic work of breathing at rest; sWOB), static lung volumes, including trapped gases and measurements of the carbon monoxide transfer (DL(CO), K(CO)) were explored using multiple factor analysis (MFA). The discriminating power of lung function parameters with respect to ACO was assessed using linear discriminant analysis (LDA). RESULTS: LDA revealed that parameters of airway dynamics (sWOB, sR(eff), sG(eff)) combined with parameters of static lung volumes such as functional residual capacity (FRC(pleth)) and trapped gas at FRC (V(TG)(FRC)) are valuable and potentially important tools discriminating between asthma, ACO and COPD. Moreover, sWOB significantly contributes to the diagnosis of obstructive airway diseases, independent from the state of pulmonary hyperinflation, whilst the diffusion capacity for carbon monoxide (DL(CO)) significantly differentiates between the 3 diagnostic classes. CONCLUSION: The complexity of COPD with its components of interaction and their heterogeneity, especially in discrimination from ACO, may well be differentiated if patients are explored by a whole set of target parameters evaluating, interactionally, flow limitation, airway dynamics, pulmonary hyperinflation, small airways dysfunction and gas exchange disturbances assessing specific functional deficits.
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spelling pubmed-95951262022-10-26 Functional Predictors Discriminating Asthma–COPD Overlap (ACO) from Chronic Obstructive Pulmonary Disease (COPD) Kraemer, Richard Gardin, Fabian Smith, Hans-Jürgen Baty, Florent Barandun, Jürg Piecyk, Andreas Minder, Stefan Salomon, Jörg Frey, Martin Brutsche, Martin H Matthys, Heinrich Int J Chron Obstruct Pulmon Dis Original Research BACKGROUND: A significant proportion of patients with obstructive lung disease have clinical and functional features of both asthma and chronic obstructive pulmonary disease (COPD), referred to as the asthma–COPD overlap (ACO). The distinction of these phenotypes, however, is not yet well-established due to the lack of defining clinical and/or functional criteria. The aim of our investigations was to assess the discriminating power of various lung function parameters on the assessment of ACO. METHODS: From databases of 4 pulmonary centers, a total of 540 patients (231 males, 309 females), including 372 patients with asthma, 77 patients with ACO and 91 patients with COPD, were retrospectively collected, and gradients among combinations of explanatory variables of spirometric (FEV(1), FEV(1)/FVC, FEF(25-75)), plethysmographic (sR(eff), sG(eff), the aerodynamic work of breathing at rest; sWOB), static lung volumes, including trapped gases and measurements of the carbon monoxide transfer (DL(CO), K(CO)) were explored using multiple factor analysis (MFA). The discriminating power of lung function parameters with respect to ACO was assessed using linear discriminant analysis (LDA). RESULTS: LDA revealed that parameters of airway dynamics (sWOB, sR(eff), sG(eff)) combined with parameters of static lung volumes such as functional residual capacity (FRC(pleth)) and trapped gas at FRC (V(TG)(FRC)) are valuable and potentially important tools discriminating between asthma, ACO and COPD. Moreover, sWOB significantly contributes to the diagnosis of obstructive airway diseases, independent from the state of pulmonary hyperinflation, whilst the diffusion capacity for carbon monoxide (DL(CO)) significantly differentiates between the 3 diagnostic classes. CONCLUSION: The complexity of COPD with its components of interaction and their heterogeneity, especially in discrimination from ACO, may well be differentiated if patients are explored by a whole set of target parameters evaluating, interactionally, flow limitation, airway dynamics, pulmonary hyperinflation, small airways dysfunction and gas exchange disturbances assessing specific functional deficits. Dove 2022-10-21 /pmc/articles/PMC9595126/ /pubmed/36304971 http://dx.doi.org/10.2147/COPD.S382761 Text en © 2022 Kraemer et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Kraemer, Richard
Gardin, Fabian
Smith, Hans-Jürgen
Baty, Florent
Barandun, Jürg
Piecyk, Andreas
Minder, Stefan
Salomon, Jörg
Frey, Martin
Brutsche, Martin H
Matthys, Heinrich
Functional Predictors Discriminating Asthma–COPD Overlap (ACO) from Chronic Obstructive Pulmonary Disease (COPD)
title Functional Predictors Discriminating Asthma–COPD Overlap (ACO) from Chronic Obstructive Pulmonary Disease (COPD)
title_full Functional Predictors Discriminating Asthma–COPD Overlap (ACO) from Chronic Obstructive Pulmonary Disease (COPD)
title_fullStr Functional Predictors Discriminating Asthma–COPD Overlap (ACO) from Chronic Obstructive Pulmonary Disease (COPD)
title_full_unstemmed Functional Predictors Discriminating Asthma–COPD Overlap (ACO) from Chronic Obstructive Pulmonary Disease (COPD)
title_short Functional Predictors Discriminating Asthma–COPD Overlap (ACO) from Chronic Obstructive Pulmonary Disease (COPD)
title_sort functional predictors discriminating asthma–copd overlap (aco) from chronic obstructive pulmonary disease (copd)
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9595126/
https://www.ncbi.nlm.nih.gov/pubmed/36304971
http://dx.doi.org/10.2147/COPD.S382761
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