RT Journal Article
SR Electronic
T1 Identification of clinical phenotypes in patients with and without COPD using cluster analysis
JF European Respiratory Journal
JO Eur Respir J
FD European Respiratory Society
SP PA4613
DO 10.1183/13993003.congress-2016.PA4613
VO 48
IS suppl 60
A1 Divo, Miguel
A1 Casanova, Ciro
A1 Marin, Jose M.
A1 Celli, Bartolome
A1 de Torres, Juan Pablo
A1 Polverino, Francesca
A1 Baz, Rebeca
A1 Cordoba-Lanus, Elizabeth
A1 Pinto-Plata, Victor
YR 2016
UL http://erj.ersjournals.com/content/48/suppl_60/PA4613.abstract
AB COPD is an heterogeneous disease better characterized by multidimensional phenotyping. Clustering is a technique used to identify discrete subgroups with similar combinations of traits. Except for pulmonary function variables, many other characteristics (6MWT, BMI, QOL) are not unique to COPD.Aim: To compare how discrete clusters form in a mixed cohort of 120 individuals with COPD and controls.Methods: Hundred and twenty patients matched by age and gender were selected, 90 with COPD of which 60 died at 3 years of follow-up. Hierarchical clustering was applied using pulmonary function, functional, anthropometric and QOL variables. Clusters were compared against a selected reference.Results: Four clusters were identified and their composition is shown in A. Cluster 4 composed with 84% controls was used as reference and the comparison and descriptions are shown in B.Conclusion: Clustering is a useful tool to discriminate clinical meaningful phenotypes and by including “controls” we showed that >10% were assigned in COPD predominant clusters. This could be important when designing exploratory studies.