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Quantitative computed tomography phenotypes, spirometric parameters, and episodes of exacerbation in heavy smokers: An analysis from South America

OBJECTIVE: To evaluate the quantitative computed tomography (QCT) phenotypes, airflow limitations, and exacerbation-like episodes in heavy smokers in Southern Brazil. METHODS: We enrolled 172 smokers with a smoking history ≥30 pack-years who underwent pulmonary function tests (PFTs) and CT scan for...

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Autores principales: Barros, Marcelo Cardoso, Hochhegger, Bruno, Altmayer, Stephan, Watte, Guilherme, Zanon, Matheus, Sartori, Ana Paula, Cavalet Blanco, Daniela, Pacini, Gabriel Sartori, Chatkin, Jose Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6181358/
https://www.ncbi.nlm.nih.gov/pubmed/30307987
http://dx.doi.org/10.1371/journal.pone.0205273
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author Barros, Marcelo Cardoso
Hochhegger, Bruno
Altmayer, Stephan
Watte, Guilherme
Zanon, Matheus
Sartori, Ana Paula
Cavalet Blanco, Daniela
Pacini, Gabriel Sartori
Chatkin, Jose Miguel
author_facet Barros, Marcelo Cardoso
Hochhegger, Bruno
Altmayer, Stephan
Watte, Guilherme
Zanon, Matheus
Sartori, Ana Paula
Cavalet Blanco, Daniela
Pacini, Gabriel Sartori
Chatkin, Jose Miguel
author_sort Barros, Marcelo Cardoso
collection PubMed
description OBJECTIVE: To evaluate the quantitative computed tomography (QCT) phenotypes, airflow limitations, and exacerbation-like episodes in heavy smokers in Southern Brazil. METHODS: We enrolled 172 smokers with a smoking history ≥30 pack-years who underwent pulmonary function tests (PFTs) and CT scan for lung cancer screening. Patients were classified regarding airflow limitation (FEV(1)/FVC <0.7 forced expiratory volume in 1 second/forced vital capacity) and the presence of emphysema on the QCT. The QCT were analyzed in specialized software and patients were classified in two disease-predominant phenotypes: emphysema-predominant (EP) and non-emphysema-predominant (NEP). EP was determined as ≥6% of percent low-attenuation areas (LAA%) with less than -950 Hounsfield units. NEP was defined as having a total LAA% of less than 6%. RESULTS: Most of our patients were classified in the EP phenotype. The EP group had significantly worse predicted FEV(1) (60.6 ±22.9 vs. 89.7 ±15.9, p <0.001), higher rates of airflow limitation (85.7% vs. 15%; p <0.001), and had more exacerbation-like episodes (25.8% vs. 8.3%, p <0.001) compared to the NEP group. Smoking history, ethnicity, and BMI did not differ between the groups. The total LAA% was the QCT parameter with the strongest correlation to FEV(1) (r = -0.669) and FEV(1)/FVC (r = -0.787). CONCLUSIONS: Heavy smokers with the EP phenotype on QCT were more likely to have airflow limitation, worse predicted FEV(1,) and a higher rate of exacerbation-like episodes than those with the NEP phenotype. Approximately 23% of patients with no airflow limitation on PFTs were classified in EP phenotype.
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spelling pubmed-61813582018-10-26 Quantitative computed tomography phenotypes, spirometric parameters, and episodes of exacerbation in heavy smokers: An analysis from South America Barros, Marcelo Cardoso Hochhegger, Bruno Altmayer, Stephan Watte, Guilherme Zanon, Matheus Sartori, Ana Paula Cavalet Blanco, Daniela Pacini, Gabriel Sartori Chatkin, Jose Miguel PLoS One Research Article OBJECTIVE: To evaluate the quantitative computed tomography (QCT) phenotypes, airflow limitations, and exacerbation-like episodes in heavy smokers in Southern Brazil. METHODS: We enrolled 172 smokers with a smoking history ≥30 pack-years who underwent pulmonary function tests (PFTs) and CT scan for lung cancer screening. Patients were classified regarding airflow limitation (FEV(1)/FVC <0.7 forced expiratory volume in 1 second/forced vital capacity) and the presence of emphysema on the QCT. The QCT were analyzed in specialized software and patients were classified in two disease-predominant phenotypes: emphysema-predominant (EP) and non-emphysema-predominant (NEP). EP was determined as ≥6% of percent low-attenuation areas (LAA%) with less than -950 Hounsfield units. NEP was defined as having a total LAA% of less than 6%. RESULTS: Most of our patients were classified in the EP phenotype. The EP group had significantly worse predicted FEV(1) (60.6 ±22.9 vs. 89.7 ±15.9, p <0.001), higher rates of airflow limitation (85.7% vs. 15%; p <0.001), and had more exacerbation-like episodes (25.8% vs. 8.3%, p <0.001) compared to the NEP group. Smoking history, ethnicity, and BMI did not differ between the groups. The total LAA% was the QCT parameter with the strongest correlation to FEV(1) (r = -0.669) and FEV(1)/FVC (r = -0.787). CONCLUSIONS: Heavy smokers with the EP phenotype on QCT were more likely to have airflow limitation, worse predicted FEV(1,) and a higher rate of exacerbation-like episodes than those with the NEP phenotype. Approximately 23% of patients with no airflow limitation on PFTs were classified in EP phenotype. Public Library of Science 2018-10-11 /pmc/articles/PMC6181358/ /pubmed/30307987 http://dx.doi.org/10.1371/journal.pone.0205273 Text en © 2018 Barros et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Barros, Marcelo Cardoso
Hochhegger, Bruno
Altmayer, Stephan
Watte, Guilherme
Zanon, Matheus
Sartori, Ana Paula
Cavalet Blanco, Daniela
Pacini, Gabriel Sartori
Chatkin, Jose Miguel
Quantitative computed tomography phenotypes, spirometric parameters, and episodes of exacerbation in heavy smokers: An analysis from South America
title Quantitative computed tomography phenotypes, spirometric parameters, and episodes of exacerbation in heavy smokers: An analysis from South America
title_full Quantitative computed tomography phenotypes, spirometric parameters, and episodes of exacerbation in heavy smokers: An analysis from South America
title_fullStr Quantitative computed tomography phenotypes, spirometric parameters, and episodes of exacerbation in heavy smokers: An analysis from South America
title_full_unstemmed Quantitative computed tomography phenotypes, spirometric parameters, and episodes of exacerbation in heavy smokers: An analysis from South America
title_short Quantitative computed tomography phenotypes, spirometric parameters, and episodes of exacerbation in heavy smokers: An analysis from South America
title_sort quantitative computed tomography phenotypes, spirometric parameters, and episodes of exacerbation in heavy smokers: an analysis from south america
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6181358/
https://www.ncbi.nlm.nih.gov/pubmed/30307987
http://dx.doi.org/10.1371/journal.pone.0205273
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