Clinical Characteristics of Exacerbation-Prone Adult Asthmatics Identified by Cluster Analysis
- Authors
- Kim, Mi-Ae; Shin, Seung-Woo; Park, Jong-Sook; Uh, Soo-Taek; Chang, Hun Soo; Bae, Da-Jeong; Cho, You Sook; Park, Hae-Sim; Yoon, Ho Joo; Choi, Byoung Whui; Kim, Yong Hoon; Park, Choon-Sik
- Issue Date
- Nov-2017
- Publisher
- KOREAN ACAD ASTHMA ALLERGY & CLINICAL IMMUNOLOGY
- Keywords
- Asthma; cluster analysis; exacerbation
- Citation
- ALLERGY ASTHMA & IMMUNOLOGY RESEARCH, v.9, no.6, pp 483 - 490
- Pages
- 8
- Journal Title
- ALLERGY ASTHMA & IMMUNOLOGY RESEARCH
- Volume
- 9
- Number
- 6
- Start Page
- 483
- End Page
- 490
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/3710
- DOI
- 10.4168/aair.2017.9.6.483
- ISSN
- 2092-7355
2092-7363
- Abstract
- Purpose: Asthma is a heterogeneous disease characterized by various types of airway inflammation and obstruction. Therefore, it is classified into several subphenotypes, such as early-onset atopic, obese non-eosinophilic, benign, and eosinophilic asthma, using cluster analysis. A number of asthmatics frequently experience exacerbation over a long-term follow-up period, but the exacerbation-prone subphenotype has rarely been evaluated by cluster analysis. This prompted us to identify clusters reflecting asthma exacerbation. Methods: A uniform cluster analysis method was applied to 259 adult asthmatics who were regularly followed-up for over 1 year using 12 variables, selected on the basis of their contribution to asthma phenotypes. After clustering, clinical profiles and exacerbation rates during follow-up were compared among the clusters. Results: Four subphenotypes were identified: cluster 1 was comprised of patients with early-onset atopic asthma with preserved lung function, cluster 2 late-onset non-atopic asthma with impaired lung function, cluster 3 early-onset atopic asthma with severely impaired lung function, and cluster 4 late-onset non-atopic asthma with well-preserved lung function. The patients in clusters 2 and 3 were identified as exacerbation-prone asthmatics, showing a higher risk of asthma exacerbation. Conclusions: Two different phenotypes of exacerbation-prone asthma were identified among Korean asthmatics using cluster analysis; both were characterized by impaired lung function, but the age at asthma onset and atopic status were different between the two.
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