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Computed tomography total airway count predicts progression to COPD in at-risk smokers

There is limited understanding of how to identify people at high risk of developing COPD. Our objective was to investigate the association between computed tomography (CT) total airway count (TAC) and incident COPD over 3 years among ever-smokers from the population-based Canadian Cohort Obstructive...

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Autores principales: Kirby, Miranda, Smith, Benjamin M., Tanabe, Naoya, Hogg, James C., Coxson, Harvey O., Sin, Don D., Bourbeau, Jean, Tan, Wan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542990/
https://www.ncbi.nlm.nih.gov/pubmed/34708120
http://dx.doi.org/10.1183/23120541.00307-2021
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author Kirby, Miranda
Smith, Benjamin M.
Tanabe, Naoya
Hogg, James C.
Coxson, Harvey O.
Sin, Don D.
Bourbeau, Jean
Tan, Wan C.
author_facet Kirby, Miranda
Smith, Benjamin M.
Tanabe, Naoya
Hogg, James C.
Coxson, Harvey O.
Sin, Don D.
Bourbeau, Jean
Tan, Wan C.
author_sort Kirby, Miranda
collection PubMed
description There is limited understanding of how to identify people at high risk of developing COPD. Our objective was to investigate the association between computed tomography (CT) total airway count (TAC) and incident COPD over 3 years among ever-smokers from the population-based Canadian Cohort Obstructive Lung Disease (CanCOLD) study. CT and spirometry were acquired in ever-smokers at baseline; spirometry was repeated at 3-year follow-up. CT TAC was generated by summing all airway segments in the segmented airway tree (VIDA Diagnostics, Inc.). CT airway wall area, wall thickness for a theoretical airway with 10 mm perimeter (Pi10), and low attenuation areas below −856 HU (LAA(856)) were also measured. Logistic and mixed effects regression models were constructed to determine the association for CT measurements with development of COPD and forced expiratory volume in 1 s/forced vital capacity (FEV(1)/FVC) decline, respectively. Among 316 at-risk participants evaluated at baseline (65±9 years, 40% female, 18±19 pack-years), incident COPD was detected in 56 participants (18%) over a median 3.1±0.6 years of follow-up. Among CT measurements, only TAC was associated with incident COPD (p=0.03), where a 1-sd decrement in TAC increased the odds ratio for incident COPD by a factor of two. In a multivariable linear regression model, reduced TAC was significantly associated with greater longitudinal FEV(1)/FVC decline (p=0.03), but no other measurements were significant. CT TAC predicts incident COPD in at-risk smokers, indicating that smokers exhibit early structural changes associated with COPD prior to abnormal spirometry.
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spelling pubmed-85429902021-10-26 Computed tomography total airway count predicts progression to COPD in at-risk smokers Kirby, Miranda Smith, Benjamin M. Tanabe, Naoya Hogg, James C. Coxson, Harvey O. Sin, Don D. Bourbeau, Jean Tan, Wan C. ERJ Open Res Original Research Articles There is limited understanding of how to identify people at high risk of developing COPD. Our objective was to investigate the association between computed tomography (CT) total airway count (TAC) and incident COPD over 3 years among ever-smokers from the population-based Canadian Cohort Obstructive Lung Disease (CanCOLD) study. CT and spirometry were acquired in ever-smokers at baseline; spirometry was repeated at 3-year follow-up. CT TAC was generated by summing all airway segments in the segmented airway tree (VIDA Diagnostics, Inc.). CT airway wall area, wall thickness for a theoretical airway with 10 mm perimeter (Pi10), and low attenuation areas below −856 HU (LAA(856)) were also measured. Logistic and mixed effects regression models were constructed to determine the association for CT measurements with development of COPD and forced expiratory volume in 1 s/forced vital capacity (FEV(1)/FVC) decline, respectively. Among 316 at-risk participants evaluated at baseline (65±9 years, 40% female, 18±19 pack-years), incident COPD was detected in 56 participants (18%) over a median 3.1±0.6 years of follow-up. Among CT measurements, only TAC was associated with incident COPD (p=0.03), where a 1-sd decrement in TAC increased the odds ratio for incident COPD by a factor of two. In a multivariable linear regression model, reduced TAC was significantly associated with greater longitudinal FEV(1)/FVC decline (p=0.03), but no other measurements were significant. CT TAC predicts incident COPD in at-risk smokers, indicating that smokers exhibit early structural changes associated with COPD prior to abnormal spirometry. European Respiratory Society 2021-10-25 /pmc/articles/PMC8542990/ /pubmed/34708120 http://dx.doi.org/10.1183/23120541.00307-2021 Text en Copyright ©The authors 2021 https://creativecommons.org/licenses/by-nc/4.0/This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions@ersnet.org (mailto:permissions@ersnet.org)
spellingShingle Original Research Articles
Kirby, Miranda
Smith, Benjamin M.
Tanabe, Naoya
Hogg, James C.
Coxson, Harvey O.
Sin, Don D.
Bourbeau, Jean
Tan, Wan C.
Computed tomography total airway count predicts progression to COPD in at-risk smokers
title Computed tomography total airway count predicts progression to COPD in at-risk smokers
title_full Computed tomography total airway count predicts progression to COPD in at-risk smokers
title_fullStr Computed tomography total airway count predicts progression to COPD in at-risk smokers
title_full_unstemmed Computed tomography total airway count predicts progression to COPD in at-risk smokers
title_short Computed tomography total airway count predicts progression to COPD in at-risk smokers
title_sort computed tomography total airway count predicts progression to copd in at-risk smokers
topic Original Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542990/
https://www.ncbi.nlm.nih.gov/pubmed/34708120
http://dx.doi.org/10.1183/23120541.00307-2021
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