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Differences between asthma in young and elderly: Results from the COREA study

Authors
Park, Heung-WooKwon, Hyouk-SooKim, Tae-BumKim, Sang-HeonChang, Yoon-SeokJang, An-SooCho, You-SookNahm, Dong-HoPark, Jung-WonYoon, Ho-JooCho, Young-JooChoi, Byoung WhuiMoon, Hee-BomCho, Sang-Heon
Issue Date
Oct-2013
Publisher
W. B. Saunders Co., Ltd.
Keywords
Asthma; Elderly; Characteristics; Principal components analysis
Citation
Respiratory Medicine, v.107, no.10, pp 1509 - 1514
Pages
6
Journal Title
Respiratory Medicine
Volume
107
Number
10
Start Page
1509
End Page
1514
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/13334
DOI
10.1016/j.rmed.2013.07.016
ISSN
0954-6111
1532-3064
Abstract
Background: There has been no large-scale and comprehensive study of the differences between asthma in elderly asthmatics (EA) and non-elderly (i.e. young) asthmatics (NEA). Methods: We performed principal component analysis (PCA) using 2067 asthmatics (434 EA and 1633 NEA) from the Korean Cohort for Reality and Evolution of adult Asthma (COREA). EA was defined as asthmatics with the chronological age of 65 or more and eleven clinical variables measured at enrollment were used for PCA; symptom score, symptom duration, number of exacerbation during previous one year, smoking pack year, number of controller medications, body mass index, predicted % of FEV1, predicted % FVC, post-bronchodilator FEV1/FVC ratio, atopy index and number of eosinophils in peripheral blood. Results: PCA of all asthmatics showed that EA and NEA were distinctly separated by the first and second principal component on the plot of individual asthmatics according to their scores. For further analysis, we divided all asthmatics into the EA and the NEA group and performed PCA again in each group. The first four principal components with eigenvalues >= 1.0 were identified in both groups and they explained 55.5% of the variance in the EA group and 52.4% in the NEA group respectively. Clinical variables showed distinctly different patterns of loading on the first four principal components between the EA and the NEA group. Conclusion: EA and NEA have different compositional patterns underlying their clinical variables. These observations helped in understanding the differences between EA and NEA from the integrated view covering various clinical aspects. (C) 2013 Elsevier Ltd. All rights reserved.
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