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dc.contributor.authorBurgel, Pierre-Régisen_US
dc.contributor.authorPaillasseur, Jean-Louisen_US
dc.contributor.authorJanssens, Wimen_US
dc.contributor.authorPiquet, Jacquesen_US
dc.contributor.authorTer Riet, Gerbenen_US
dc.contributor.authorGarcia-Aymerich, Judithen_US
dc.contributor.authorCosio, Borjaen_US
dc.contributor.authorBakke, Per S.en_US
dc.contributor.authorPuhan, Milo A.en_US
dc.contributor.authorLanghammer, Arnulfen_US
dc.contributor.authorAlfageme, Inmaculadaen_US
dc.contributor.authorAlmagro, Pereen_US
dc.contributor.authorAncochea, Julioen_US
dc.contributor.authorCelli, Bartolomé R.en_US
dc.contributor.authorCasanova, Ciroen_US
dc.contributor.authorde-Torres, Juan P.en_US
dc.contributor.authorDecramer, Marcen_US
dc.contributor.authorEchazarreta, Andrésen_US
dc.contributor.authorEsteban, Cristobalen_US
dc.contributor.authorPunter, Rosa Mar Gomezen_US
dc.contributor.authorHan, Meilan K.en_US
dc.contributor.authorJohannessen, Aneen_US
dc.contributor.authorKaiser, Bernharden_US
dc.contributor.authorLamprecht, Bernden_US
dc.contributor.authorLange, Peteren_US
dc.contributor.authorLeivseth, Lindaen_US
dc.contributor.authorMarin, Jose M.en_US
dc.contributor.authorMartin, Francisen_US
dc.contributor.authorMartinez-Camblor, Pabloen_US
dc.contributor.authorMiravitlles, Marcen_US
dc.contributor.authorOga, Toruen_US
dc.contributor.authorRamírez, Ana Sofiaen_US
dc.contributor.authorSin, Don D.en_US
dc.contributor.authorSobradillo, Patriciaen_US
dc.contributor.authorSoler-Cataluña, Juan J.en_US
dc.contributor.authorTurner, Alice M.en_US
dc.contributor.authorRivera, Francisco Javier Verduen_US
dc.contributor.authorSoriano, Joan B.en_US
dc.contributor.authorRoche, Nicolasen_US
dc.date.accessioned2018-08-24T08:09:50Z
dc.date.available2018-08-24T08:09:50Z
dc.date.issued2017
dc.PublishedBurgel, Paillasseur, Janssens W, Piquet, Ter Riet, Garcia-Aymerich J, Cosio, Bakke PS, Puhan MA, Langhammer A, Alfageme I, Almagro P, Ancochea, Celli BR, Casanova C, de-Torres JP, Decramer M, Echazarreta, Esteban C, Punter, Han MK, Johannessen A, Kaiser B, Lamprecht B, Lange P, Leivseth L, Marin JM, Martin F, Martinez-Camblor P, Miravitlles M, Oga, Ramírez, Sin DD, Sobradillo P, Soler-Cataluña JJ, Turner AM, Rivera, Soriano JB, Roche N. A simple algorithm for the identification of clinical COPD phenotypes. European Respiratory Journal. 2017;50:1701034eng
dc.identifier.issn1399-3003
dc.identifier.issn0903-1936
dc.identifier.urihttps://hdl.handle.net/1956/18219
dc.descriptionUnder embargo until: 02.05.2019en_US
dc.description.abstractThis 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. This algorithm was tested in 3651 patients from the COPD Cohorts Collaborative International Assessment (3CIA) initiative. Cluster analysis identified five subgroups of COPD patients with different clinical characteristics (especially regarding severity of respiratory disease and the presence of cardiovascular comorbidities and diabetes). The CART-based algorithm indicated that the variables relevant for patient grouping differed markedly between patients with isolated respiratory disease (FEV1, dyspnoea grade) and those with multi-morbidity (dyspnoea grade, age, FEV1 and body mass index). Application of this algorithm to the 3CIA cohorts confirmed that it identified subgroups of patients with different clinical characteristics, mortality rates (median, from 4% to 27%) and age at death (median, from 68 to 76 years). A simple algorithm, integrating respiratory characteristics and comorbidities, allowed the identification of clinically relevant COPD phenotypes.en_US
dc.language.isoengeng
dc.publisherERSeng
dc.titleA simple algorithm for the identification of clinical COPD phenotypesen_US
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2018-06-06T17:30:01Z
dc.description.versionacceptedVersionen_US
dc.rights.holderCopyright ERS 2017
dc.identifier.doihttps://doi.org/10.1183/13993003.01034-2017
dc.identifier.cristin1527929
dc.source.journalEuropean Respiratory Journal


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