%0 Journal Article %A Francesca Bertolini %A Giorgio Ciprandi %A Fabio Gallo %A Elisa Riccardi %A Vitina Carriero %A Fabio Luigi Massimo Ricciardolo %T Phenotyping asthmatic outpatients by cluster analysis in a real-world setting %D 2021 %R 10.1183/13993003.congress-2021.PA3708 %J European Respiratory Journal %P PA3708 %V 58 %N suppl 65 %X Introduction: Cluster analysis is a statistical method that allows for gathering asthmatic patients with shared characteristics. However, a few studies explored asthma clustering in a real-world setting.Aims and objectives: We evaluated a cohort of outpatients with asthma to define potential clusters regardless of the severity grade.Methods: This cross-sectional study evaluated clinical characteristics, functional data, and biological parameters of 408 outpatients (248 males and 160 females, mean age 56.5 ± 14.2 years). The analysis considered the effects of some asthma identifiers (age, gender, age of asthma onset, smoking history, body weight, lung function, blood count, total IgE, use of anti-asthmatic drugs, asthma control defined as ACT score, and severity grade).Results: The analysis identified three clusters. Cluster 1 included 99 subjects with well-controlled asthma. Cluster 2 included 257 subjects with normal lung function but partially or uncontrolled asthma. Cluster 3 comprised 52 subjects with overt impaired lung function. There were significant associations between clusters 1 and 2 concerning inhaled corticosteroid (ICS) dosage (OR=1.02) and ACT score (OR=0.02). Comparing class 3 versus 1, significant associations concerned smoking history >10 pack/year (OR=12.52), post-bronchodilator FVC (OR=0.74), ICS dosage (OR=1.02), and ACT score (OR=0.02).Conclusions: This real-world study identified three distinct phenotypes characterized by clinically relevant differences, mainly considering smoking history, lung function, ICS dosage, and asthma control grade. These outcomes underline the importance of phenotyping patients with asthma to better identify the optimal management in clinical practice.FootnotesCite this article as: European Respiratory Journal 2021; 58: Suppl. 65, PA3708.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). %U