201. Cluster analysis in the COPDGene study identifies subtypes of smokers with distinct patterns of airway disease and emphysema
- Author
-
Castaldi, Peter J, Dy, Jennifer, Ross, James, Chang, Yale, Washko, George R, Curran-Everett, Douglas, Williams, Andre, Lynch, David A, Make, Barry J, Crapo, James D, Bowler, Russ P, Regan, Elizabeth A, Hokanson, John E, Kinney, Greg L, Han, Meilan K, Soler, Xavier, Ramsdell, Joseph W, Barr, R Graham, Foreman, Marilyn, van Beek, Edwin, Casaburi, Richard, Criner, Gerald J, Lutz, Sharon M, Rennard, Steven I, Santorico, Stephanie, Sciurba, Frank C, DeMeo, Dawn L, Hersh, Craig P, Silverman, Edwin K, and Cho, Michael H
- Subjects
Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Clinical Sciences ,Tobacco ,Tobacco Smoke and Health ,Lung ,Clinical Research ,Emphysema ,Genetics ,Chronic Obstructive Pulmonary Disease ,2.1 Biological and endogenous factors ,Aetiology ,Respiratory ,Cluster Analysis ,Female ,Follow-Up Studies ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Male ,Middle Aged ,Phenotype ,Pulmonary Disease ,Chronic Obstructive ,Pulmonary Emphysema ,Retrospective Studies ,Severity of Illness Index ,Smoking ,Spirometry ,Tomography ,X-Ray Computed ,COPD epidemiology ,Respiratory System ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
BackgroundThere is notable heterogeneity in the clinical presentation of patients with COPD. To characterise this heterogeneity, we sought to identify subgroups of smokers by applying cluster analysis to data from the COPDGene study.MethodsWe applied a clustering method, k-means, to data from 10 192 smokers in the COPDGene study. After splitting the sample into a training and validation set, we evaluated three sets of input features across a range of k (user-specified number of clusters). Stable solutions were tested for association with four COPD-related measures and five genetic variants previously associated with COPD at genome-wide significance. The results were confirmed in the validation set.FindingsWe identified four clusters that can be characterised as (1) relatively resistant smokers (ie, no/mild obstruction and minimal emphysema despite heavy smoking), (2) mild upper zone emphysema-predominant, (3) airway disease-predominant and (4) severe emphysema. All clusters are strongly associated with COPD-related clinical characteristics, including exacerbations and dyspnoea (p
- Published
- 2014