Differences between asthma in young and elderly

Results from the COREA study

Heung Woo Park, Hyouk Soo Kwon, Tae Bum Kim, Sang Heon Kim, Yoon Seok Chang, An Soo Jang, You Sook Cho, Dong Ho Nahm, Jungwon Park, Ho Joo Yoon, Young Joo Cho, Byoung Whui Choi, Hee Bom Moon, Sang Heon Cho

Research output: Contribution to journalArticle

8 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1509-1514
Number of pages6
JournalRespiratory Medicine
Volume107
Issue number10
DOIs
Publication statusPublished - 2013 Oct 1

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Asthma
Principal Component Analysis
Bronchodilator Agents
Eosinophils
Body Mass Index
Smoking

All Science Journal Classification (ASJC) codes

  • Pulmonary and Respiratory Medicine

Cite this

Park, H. W., Kwon, H. S., Kim, T. B., Kim, S. H., Chang, Y. S., Jang, A. S., ... Cho, S. H. (2013). Differences between asthma in young and elderly: Results from the COREA study. Respiratory Medicine, 107(10), 1509-1514. https://doi.org/10.1016/j.rmed.2013.07.016
Park, Heung Woo ; Kwon, Hyouk Soo ; Kim, Tae Bum ; Kim, Sang Heon ; Chang, Yoon Seok ; Jang, An Soo ; Cho, You Sook ; Nahm, Dong Ho ; Park, Jungwon ; Yoon, Ho Joo ; Cho, Young Joo ; Choi, Byoung Whui ; Moon, Hee Bom ; Cho, Sang Heon. / Differences between asthma in young and elderly : Results from the COREA study. In: Respiratory Medicine. 2013 ; Vol. 107, No. 10. pp. 1509-1514.
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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.",
author = "Park, {Heung Woo} and Kwon, {Hyouk Soo} and Kim, {Tae Bum} and Kim, {Sang Heon} and Chang, {Yoon Seok} and Jang, {An Soo} and Cho, {You Sook} and Nahm, {Dong Ho} and Jungwon Park and Yoon, {Ho Joo} and Cho, {Young Joo} and Choi, {Byoung Whui} and Moon, {Hee Bom} and Cho, {Sang Heon}",
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Park, HW, Kwon, HS, Kim, TB, Kim, SH, Chang, YS, Jang, AS, Cho, YS, Nahm, DH, Park, J, Yoon, HJ, Cho, YJ, Choi, BW, Moon, HB & Cho, SH 2013, 'Differences between asthma in young and elderly: Results from the COREA study', Respiratory Medicine, vol. 107, no. 10, pp. 1509-1514. https://doi.org/10.1016/j.rmed.2013.07.016

Differences between asthma in young and elderly : Results from the COREA study. / Park, Heung Woo; Kwon, Hyouk Soo; Kim, Tae Bum; Kim, Sang Heon; Chang, Yoon Seok; Jang, An Soo; Cho, You Sook; Nahm, Dong Ho; Park, Jungwon; Yoon, Ho Joo; Cho, Young Joo; Choi, Byoung Whui; Moon, Hee Bom; Cho, Sang Heon.

In: Respiratory Medicine, Vol. 107, No. 10, 01.10.2013, p. 1509-1514.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Differences between asthma in young and elderly

T2 - Results from the COREA study

AU - Park, Heung Woo

AU - Kwon, Hyouk Soo

AU - Kim, Tae Bum

AU - Kim, Sang Heon

AU - Chang, Yoon Seok

AU - Jang, An Soo

AU - Cho, You Sook

AU - Nahm, Dong Ho

AU - Park, Jungwon

AU - Yoon, Ho Joo

AU - Cho, Young Joo

AU - Choi, Byoung Whui

AU - Moon, Hee Bom

AU - Cho, Sang Heon

PY - 2013/10/1

Y1 - 2013/10/1

N2 - 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.

AB - 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.

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Park HW, Kwon HS, Kim TB, Kim SH, Chang YS, Jang AS et al. Differences between asthma in young and elderly: Results from the COREA study. Respiratory Medicine. 2013 Oct 1;107(10):1509-1514. https://doi.org/10.1016/j.rmed.2013.07.016