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

@article{Kim2013IdentificationOA,
  title={Identification of asthma clusters in two independent Korean adult asthma cohorts.},
  author={Tae-Bum Kim and An Soo Jang and Hyouk-Soo Kwon and Jong Sook Park and Yoon-Seok Chang and Sang-Heon Cho and B. W. Choi and J Park and Dong-Ho Nam and H J Yoon and Young-Joo Cho and H. -G. Moon and You Sook Cho and Choon-Sik Park},
  journal={The European respiratory journal},
  year={2013},
  volume={41 6},
  pages={
          1308-14
        }
}
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… CONTINUE READING
Highly Cited
This paper has 35 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 22 extracted citations

Asthma and smoking-induced airway disease without spirometric COPD.

The European respiratory journal • 2017
View 9 Excerpts
Highly Influenced

Clinical Characteristics of Exacerbation-Prone Adult Asthmatics Identified by Cluster Analysis

Allergy, asthma & immunology research • 2017
View 5 Excerpts
Highly Influenced

Is a Longitudinal Trajectory Helpful in Identifying Phenotypes in Asthma?

Allergy, asthma & immunology research • 2018
View 3 Excerpts

Identification and validation of asthma phenotypes in Chinese population using cluster analysis.

Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology • 2017