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
AUTHORS (71)
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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