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COPD phenotypes on computed tomography and its correlation with selected lung function variables in severe patients

BACKGROUND: Computed tomography (CT) phenotypic characterization helps in understanding the clinical diversity of chronic obstructive pulmonary disease (COPD) patients, but its clinical relevance and its relationship with functional features are not clarified. Volumetric capnography (VC) uses the pr...

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Autores principales: da Silva, Silvia Maria Doria, Paschoal, Ilma Aparecida, De Capitani, Eduardo Mello, Moreira, Marcos Mello, Palhares, Luciana Campanatti, Pereira, Mônica Corso
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801153/
https://www.ncbi.nlm.nih.gov/pubmed/27042039
http://dx.doi.org/10.2147/COPD.S90638
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author da Silva, Silvia Maria Doria
Paschoal, Ilma Aparecida
De Capitani, Eduardo Mello
Moreira, Marcos Mello
Palhares, Luciana Campanatti
Pereira, Mônica Corso
author_facet da Silva, Silvia Maria Doria
Paschoal, Ilma Aparecida
De Capitani, Eduardo Mello
Moreira, Marcos Mello
Palhares, Luciana Campanatti
Pereira, Mônica Corso
author_sort da Silva, Silvia Maria Doria
collection PubMed
description BACKGROUND: Computed tomography (CT) phenotypic characterization helps in understanding the clinical diversity of chronic obstructive pulmonary disease (COPD) patients, but its clinical relevance and its relationship with functional features are not clarified. Volumetric capnography (VC) uses the principle of gas washout and analyzes the pattern of CO(2) elimination as a function of expired volume. The main variables analyzed were end-tidal concentration of carbon dioxide (ETCO(2)), Slope of phase 2 (Slp2), and Slope of phase 3 (Slp3) of capnogram, the curve which represents the total amount of CO(2) eliminated by the lungs during each breath. OBJECTIVE: To investigate, in a group of patients with severe COPD, if the phenotypic analysis by CT could identify different subsets of patients, and if there was an association of CT findings and functional variables. SUBJECTS AND METHODS: Sixty-five patients with COPD Gold III–IV were admitted for clinical evaluation, high-resolution CT, and functional evaluation (spirometry, 6-minute walk test [6MWT], and VC). The presence and profusion of tomography findings were evaluated, and later, the patients were identified as having emphysema (EMP) or airway disease (AWD) phenotype. EMP and AWD groups were compared; tomography findings scores were evaluated versus spirometric, 6MWT, and VC variables. RESULTS: Bronchiectasis was found in 33.8% and peribronchial thickening in 69.2% of the 65 patients. Structural findings of airways had no significant correlation with spirometric variables. Air trapping and EMP were strongly correlated with VC variables, but in opposite directions. There was some overlap between the EMP and AWD groups, but EMP patients had signicantly lower body mass index, worse obstruction, and shorter walked distance on 6MWT. Concerning VC, EMP patients had signicantly lower ETCO2, Slp2 and Slp3. Increases in Slp3 characterize heterogeneous involvement of the distal air spaces, as in AWD. CONCLUSION: Visual assessment and phenotyping of CT in COPD patients is feasible and may help identify functional and clinically different subsets of patients. VC may provide useful information about the heterogeneous involvement of lung structures in COPD.
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spelling pubmed-48011532016-04-01 COPD phenotypes on computed tomography and its correlation with selected lung function variables in severe patients da Silva, Silvia Maria Doria Paschoal, Ilma Aparecida De Capitani, Eduardo Mello Moreira, Marcos Mello Palhares, Luciana Campanatti Pereira, Mônica Corso Int J Chron Obstruct Pulmon Dis Original Research BACKGROUND: Computed tomography (CT) phenotypic characterization helps in understanding the clinical diversity of chronic obstructive pulmonary disease (COPD) patients, but its clinical relevance and its relationship with functional features are not clarified. Volumetric capnography (VC) uses the principle of gas washout and analyzes the pattern of CO(2) elimination as a function of expired volume. The main variables analyzed were end-tidal concentration of carbon dioxide (ETCO(2)), Slope of phase 2 (Slp2), and Slope of phase 3 (Slp3) of capnogram, the curve which represents the total amount of CO(2) eliminated by the lungs during each breath. OBJECTIVE: To investigate, in a group of patients with severe COPD, if the phenotypic analysis by CT could identify different subsets of patients, and if there was an association of CT findings and functional variables. SUBJECTS AND METHODS: Sixty-five patients with COPD Gold III–IV were admitted for clinical evaluation, high-resolution CT, and functional evaluation (spirometry, 6-minute walk test [6MWT], and VC). The presence and profusion of tomography findings were evaluated, and later, the patients were identified as having emphysema (EMP) or airway disease (AWD) phenotype. EMP and AWD groups were compared; tomography findings scores were evaluated versus spirometric, 6MWT, and VC variables. RESULTS: Bronchiectasis was found in 33.8% and peribronchial thickening in 69.2% of the 65 patients. Structural findings of airways had no significant correlation with spirometric variables. Air trapping and EMP were strongly correlated with VC variables, but in opposite directions. There was some overlap between the EMP and AWD groups, but EMP patients had signicantly lower body mass index, worse obstruction, and shorter walked distance on 6MWT. Concerning VC, EMP patients had signicantly lower ETCO2, Slp2 and Slp3. Increases in Slp3 characterize heterogeneous involvement of the distal air spaces, as in AWD. CONCLUSION: Visual assessment and phenotyping of CT in COPD patients is feasible and may help identify functional and clinically different subsets of patients. VC may provide useful information about the heterogeneous involvement of lung structures in COPD. Dove Medical Press 2016-03-16 /pmc/articles/PMC4801153/ /pubmed/27042039 http://dx.doi.org/10.2147/COPD.S90638 Text en © 2016 da Silva et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
da Silva, Silvia Maria Doria
Paschoal, Ilma Aparecida
De Capitani, Eduardo Mello
Moreira, Marcos Mello
Palhares, Luciana Campanatti
Pereira, Mônica Corso
COPD phenotypes on computed tomography and its correlation with selected lung function variables in severe patients
title COPD phenotypes on computed tomography and its correlation with selected lung function variables in severe patients
title_full COPD phenotypes on computed tomography and its correlation with selected lung function variables in severe patients
title_fullStr COPD phenotypes on computed tomography and its correlation with selected lung function variables in severe patients
title_full_unstemmed COPD phenotypes on computed tomography and its correlation with selected lung function variables in severe patients
title_short COPD phenotypes on computed tomography and its correlation with selected lung function variables in severe patients
title_sort copd phenotypes on computed tomography and its correlation with selected lung function variables in severe patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801153/
https://www.ncbi.nlm.nih.gov/pubmed/27042039
http://dx.doi.org/10.2147/COPD.S90638
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