Pierre-Régis Burgel, Jean-Louis Paillasseur, Wim Janssens, Jacques Piquet, Gerben Ter Riet, Judith Garcia-Aymerich, Borja Cosio, Per Bakke, Milo A Puhan, Arnulf Langhammer, Inmaculada Alfageme, Pere Almagro, Julio Ancochea, Bartolome R Celli, Ciro Casanova, Juan P de-Torres, Marc Decramer, Andrés Echazarreta, Cristobal Esteban, Rosa Mar Gomez Punter, MeiLan K Han, Ane Johannessen, Bernhard Kaiser, Bernd Lamprecht, Peter Lange, Linda Leivseth, Jose M Marin, Francis Martin, Pablo Martinez-Camblor, Marc Miravitlles, Toru Oga, Ana Sofia Ramírez, Don D Sin, Patricia Sobradillo, Juan J Soler-Cataluña, Alice M Turner, Francisco Javier Verdu Rivera, Joan B Soriano, Nicolas Roche
This study aimed to identify simple rules for allocating chronic obstructive pulmonary disease (COPD) patients to clinical phenotypes identified by cluster analyses.Data from 2409 COPD patients of French/Belgian COPD cohorts were analysed using cluster analysis resulting in the identification of subgroups, for which clinical relevance was determined by comparing 3-year all-cause mortality. Classification and regression trees (CARTs) were used to develop an algorithm for allocating patients to these subgroups...
November 2017: European Respiratory Journal