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논문 기본 정보

자료유형
학술저널
저자정보
김미애 (차의과학대학교 분당차병원 알레르기내과) 신승우 (순천향대학교) 박종숙 (순천향대학교) 어수택 (순천향대학교) 장헌수 (순천향대학교) 배다정 (순천향대학교 임상의학연구소) 조유숙 (서울아산병원) 박해심 (아주대학교) 윤호주 (한양대학교) 최병휘 (중앙대학교) 김용훈 (순천향대학교) 박춘식 (순천향대학교)
저널정보
대한천식알레르기학회(구 대한알레르기학회) Allergy, Asthma & Immunology Research Allergy, Asthma & Immunology Research Vol.9 No.6
발행연도
2017.1
수록면
483 - 490 (8page)

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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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