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Identification of asthma clusters in two independent Korean adult asthma cohorts.

Authors
Kim, TB; Jang, AS; Kwon, HS; Park, JS; Chang, YS; Cho, SH; Choi, BW; Park, JW; Nam, DH; Yoon, HJ; Cho, YJ; Moon, HB; Cho, YS; Park, CS; COREA Study Group
Citation
The European respiratory journal, 41(6):1308-1314, 2013
Journal Title
The European respiratory journal
ISSN
0903-19361399-3003
Abstract
Asthma is a heterogeneous airway disease with various clinical phenotypes. It is crucial to clearly identify clinical phenotypes to achieve better asthma management. We used cluster analysis to classify the clinical groups of 724 asthmatic patients from the Cohort for Reality and Evolution of Adult Asthma in Korea (COREA), and in 1843 subjects from another independent Korean asthma cohort of Soonchunhyang University Asthma Genome Research Centre (SCH) (Bucheon, Republic of Korea). Hierarchical cluster analysis was performed by Ward's method, followed by κ-means cluster analysis. Cluster analysis of the COREA cohort indicated four asthma subtypes: 1) smoking asthma; 2) severe obstructive asthma; 3) early-onset atopic asthma; and 4) late-onset mild asthma. An independent cluster analysis of the SCH cohort also indicated four clusters that were similar to the COREA clusters. Our results indicate that adult Korean asthma patients can be classified into four distinct clusters.
MeSH terms
AdultAge of OnsetAsian Continental Ancestry GroupAsthma/*diagnosis/ethnology/*therapyBody Mass IndexCluster AnalysisCohort StudiesFemaleForced Expiratory VolumeHumansMaleMiddle AgedPhenotypeRepublic of KoreaSmokingYoung Adult
DOI
10.1183/09031936.00100811
PMID
23060627
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Allergy
AJOU Authors
남, 동호
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