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

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dc.contributor.authorKim, Mi-Ae-
dc.contributor.authorShin, Seung-Woo-
dc.contributor.authorPark, Jong-Sook-
dc.contributor.authorUh, Soo-Taek-
dc.contributor.authorChang, Hun Soo-
dc.contributor.authorBae, Da-Jeong-
dc.contributor.authorCho, You Sook-
dc.contributor.authorPark, Hae-Sim-
dc.contributor.authorYoon, Ho Joo-
dc.contributor.authorChoi, Byoung Whui-
dc.contributor.authorKim, Yong Hoon-
dc.contributor.authorPark, Choon-Sik-
dc.date.available2019-03-08T07:38:00Z-
dc.date.issued2017-11-
dc.identifier.issn2092-7355-
dc.identifier.issn2092-7363-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/3710-
dc.description.abstractPurpose: 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.-
dc.format.extent8-
dc.language영어-
dc.language.isoENG-
dc.publisherKOREAN ACAD ASTHMA ALLERGY & CLINICAL IMMUNOLOGY-
dc.titleClinical Characteristics of Exacerbation-Prone Adult Asthmatics Identified by Cluster Analysis-
dc.typeArticle-
dc.identifier.doi10.4168/aair.2017.9.6.483-
dc.identifier.bibliographicCitationALLERGY ASTHMA & IMMUNOLOGY RESEARCH, v.9, no.6, pp 483 - 490-
dc.identifier.kciidART002280955-
dc.description.isOpenAccessN-
dc.identifier.wosid000415392700004-
dc.identifier.scopusid2-s2.0-85029526105-
dc.citation.endPage490-
dc.citation.number6-
dc.citation.startPage483-
dc.citation.titleALLERGY ASTHMA & IMMUNOLOGY RESEARCH-
dc.citation.volume9-
dc.type.docTypeArticle-
dc.publisher.location대한민국-
dc.subject.keywordAuthorAsthma-
dc.subject.keywordAuthorcluster analysis-
dc.subject.keywordAuthorexacerbation-
dc.subject.keywordPlusREFRACTORY ASTHMA-
dc.subject.keywordPlusAIRWAY-OBSTRUCTION-
dc.subject.keywordPlusPHENOTYPES-
dc.subject.keywordPlusOMALIZUMAB-
dc.subject.keywordPlusINFLAMMATION-
dc.subject.keywordPlusBIOMARKERS-
dc.subject.keywordPlusONSET-
dc.relation.journalResearchAreaAllergy-
dc.relation.journalResearchAreaImmunology-
dc.relation.journalWebOfScienceCategoryAllergy-
dc.relation.journalWebOfScienceCategoryImmunology-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
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