TY - JOUR T1 - Identification and analysis of clinical phenotypes in COPD patients: PALOMB Cohort JF - European Respiratory Journal JO - Eur Respir J DO - 10.1183/13993003.congress-2021.PA3502 VL - 58 IS - suppl 65 SP - PA3502 AU - El-hassane Ouaalaya AU - Maéva Zysman AU - Émilie Berteaud AU - Laurent Falque AU - Emmanuel Monge AU - Laurent Nguyen AU - Annaig Ozier AU - Jean Michel Dupis AU - Marielle Sabatini AU - Cécilia Nocent-Ejnaini AU - Laura Petrov AU - Alain Bernady AU - Christophe Roy AU - Frédéric Le Guillou AU - Mohammed Aliati AU - Anne Prudhomme AU - Marie Line Quinquenel AU - Mohammed Staali AU - Frederic Pilard AU - Esther Iglesias AU - Marc Sapène AU - Julien Casteigt AU - Jean Moinard AU - Yannick Daoudi AU - Élodie Blanchard AU - Julie Macey AU - Rémi Veillon AU - Xavier Demant AU - Claire Bon AU - Leo Grassion AU - Mathieu Molimard AU - Chantal Raherison-Semjen Y1 - 2021/09/05 UR - http://erj.ersjournals.com/content/58/suppl_65/PA3502.abstract N2 - In recent years, several researchers have attempted to identify COPD phenotypes using different cluster analysis. This study aimed to determine the most optimal cluster analysis (supervised vs unsupervised) to robustly identify clinical phenotypes. 2,968 COPD patients have been included from January 2014 until February 2020. General information (age, BMI, smoking, comorbidities), lung function, exacerbations and symptoms were collected. After 5 years of follow-up, vital status was recorded. A hierarchical classification on the principal components (HCPC) was performed, followed by two unsupervised classification algorithms: k-means and PAM (Partition Around Medoids). Robustness was defined according to three different indices of validation (Connectivity, Dunn and silhouette).The mean age was 70 years, 63.7% of males, current smokers: 38.7%, mean FEV1: 61.3% predicted, ≥2 exacerbations: 43.6%, mMRC dyspnea grade≥2: 56.3%, chronic cough: 58%. The 5-year mortality rate was 11.3%. Based on our hypothesis, four phenotypes were described, using the PAM method. The phenotype A (24.2%) consisted of elderly patients with severe airflow limitation, low symptoms, cardiovascular comorbidities, diabetes and a higher mortality. The phenotype B (23.9%) contained more female patients, young patients with moderate airflow limitation and a high rate of current smokers. The phenotype C (25.5%) contained patients with very severe airflow limitation, more symptoms and low BMI. The Phenotype D (26.2%) was composed of patients with mild airflow limitation and low dyspnoea.These results showed the superiority of PAM classification compared with two other algorithms (k-means and HCPC) in terms of the robustness.FootnotesCite this article as: European Respiratory Journal 2021; 58: Suppl. 65, PA3502.This abstract was presented at the 2021 ERS International Congress, in session “Prediction of exacerbations in patients with COPD”.This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only). ER -