Identification of asthma clusters in two independent Korean adult asthma cohorts

Tae Bum Kim, An Soo Jang, Hyouk Soo Kwon, Jong Sook Park, Yoon Seok Chang, Sang Heon Cho, Byoung Whui Choi, Jung Won Park, Dong Ho Nam, Ho Joo Yoon, Young Joo Cho, Hee Bom Moon, You Sook Cho, Choon Sik Park

Research output: Contribution to journalArticlepeer-review

113 Scopus citations


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 k-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. Copyright

Original languageEnglish
Pages (from-to)1308-1314
Number of pages7
JournalEuropean Respiratory Journal
Issue number6
StatePublished - 1 Jun 2013


  • Asthma
  • Classification
  • Cluster analysis
  • Phenotype


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