Distinct Phenotypes of Smokers with Fixed Airflow Limitation Identified by Cluster Analysis of Severe Asthma

severe asthma Adult Male 490 610 Severity of Illness Index smoking Leukocyte Count Young Adult 03 medical and health sciences 0302 clinical medicine Japan Cluster Analysis Humans Lung Aged Smokers Smoking phenotypes Sputum Immunoglobulin E Middle Aged Asthma Respiratory Function Tests 3. Good health Eosinophils Phenotype Female eosinophils cluster analysis
DOI: 10.1513/annalsats.201701-065oc Publication Date: 2017-09-14T17:22:25Z
ABSTRACT
Smoking may have multifactorial effects on asthma phenotypes, particularly in severe asthma. Cluster analysis has been applied to explore novel which are not based any a priori hypotheses.To phenotypes by cluster when including smoking patients with asthma.We recruited total of 127 subjects asthma, 59 current or ex-smokers, from our university hospital and its 29 affiliated hospitals/pulmonary clinics. Clinical variables obtained during 2-day stay were used for analysis. After clustering using clinical variables, the sputum levels 14 molecules measured biologically characterize clusters.Five clusters, two characterized low forced expiratory volume 1 second/forced vital capacity, identified. When characteristics these clusters compared, there marked differences between groups: one had high circulating eosinophils, immunoglobulin E levels, sinus score, other was same parameters. Sputum revealed intriguing cytokine/chemokine pattern groups. The three similar those previously reported: young onset/atopic, nonsmoker/less eosinophilic, female/obese. Key confirmed be stable consistent 3 years later.This study reveals distinct potentially different biological pathways contributing fixed airflow limitation cigarette smokers
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