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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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Detalles Bibliográficos
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
Descripción
Sumario: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.