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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178702/
https://www.ncbi.nlm.nih.gov/pubmed/34103907
http://dx.doi.org/10.2147/COPD.S301466

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178702/
https://www.ncbi.nlm.nih.gov/pubmed/34103907
http://dx.doi.org/10.2147/COPD.S301466

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