Longitudinal Imaging-Based Clusters in Former Smokers of the COPD Cohort Associate with Clinical Characteristics: The SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS)

PURPOSE: Quantitative computed tomography (qCT) imaging-based cluster analysis identified clinically meaningful COPD former-smoker subgroups (clusters) based on cross-sectional data. We aimed to identify progression clusters for former smokers using longitudinal data. PATIENTS AND METHODS: We select...

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Detalhes bibliográficos
Publicado no:Int J Chron Obstruct Pulmon Dis
Main Authors: Zou, Chunrui, Li, Frank, Choi, Jiwoong, Haghighi, Babak, Choi, Sanghun, Rajaraman, Prathish K, Comellas, Alejandro P, Newell, John D, Lee, Chang Hyun, Barr, R Graham, Bleecker, Eugene, Cooper, Christopher B, Couper, David, Han, Meilan, Hansel, Nadia N, Kanner, Richard E, Kazerooni, Ella A, Kleerup, Eric C, Martinez, Fernando J, O’Neal, Wanda, Paine, Robert, Rennard, Stephen I, Smith, Benjamin M, Woodruff, Prescott G, Hoffman, Eirc A, Lin, Ching-Long
Formato: Artigo
Idioma:Inglês
Publicado em: Dove 2021
Assuntos:
Original Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8178702/
https://ncbi.nlm.nih.gov/pubmed/34103907
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/COPD.S301466
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