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Clinical Characteristics of Exacerbation-Prone Adult Asthmatics Identified by Cluster Analysis
DC Field | Value | Language |
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dc.contributor.author | Kim, MA | - |
dc.contributor.author | Shin, SW | - |
dc.contributor.author | Park, JS | - |
dc.contributor.author | Uh, ST | - |
dc.contributor.author | Chang, HS | - |
dc.contributor.author | Bae, DJ | - |
dc.contributor.author | Cho, YS | - |
dc.contributor.author | Park, HS | - |
dc.contributor.author | Yoon, HJ | - |
dc.contributor.author | Choi, BW | - |
dc.contributor.author | Kim, YH | - |
dc.contributor.author | Park, CS | - |
dc.date.accessioned | 2018-08-31T04:48:24Z | - |
dc.date.available | 2018-08-31T04:48:24Z | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 2092-7355 | - |
dc.identifier.uri | http://repository.ajou.ac.kr/handle/201003/16261 | - |
dc.description.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. | - |
dc.language.iso | en | - |
dc.title | Clinical Characteristics of Exacerbation-Prone Adult Asthmatics Identified by Cluster Analysis | - |
dc.type | Article | - |
dc.identifier.pmid | 28913987 | - |
dc.identifier.url | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/28913987/ | - |
dc.subject.keyword | Asthma | - |
dc.subject.keyword | Cluster analysis | - |
dc.subject.keyword | Exacerbation | - |
dc.contributor.affiliatedAuthor | 박, 해심 | - |
dc.type.local | Journal Papers | - |
dc.identifier.doi | 10.4168/aair.2017.9.6.483 | - |
dc.citation.title | Allergy, asthma & immunology research | - |
dc.citation.volume | 9 | - |
dc.citation.number | 6 | - |
dc.citation.date | 2017 | - |
dc.citation.startPage | 483 | - |
dc.citation.endPage | 490 | - |
dc.identifier.bibliographicCitation | Allergy, asthma & immunology research, 9(6). : 483-490, 2017 | - |
dc.identifier.eissn | 2092-7363 | - |
dc.relation.journalid | J020927355 | - |
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