Identification of chronic obstructive pulmonary disease subgroups in 13 Asian cities

W. J. Kim, V. Gupta, M. Nishimura, H. Makita, L. Idolor, C. Roa, L. C. Loh, C. K. Ong, J. S. Wang, W. Boonsawat, K. D. Gunasekera, D. Madegedara, H. P. Kuo, C. H. Wang, C. Wang, T. Yang, Y. X. Lin, F. W.S. Ko, D. S.C. Hui, L. T.T. LanQ. T.T. Vu, A. B. Bhome, A. Ng, J. B. Seo, B. Y. Lee, J. S. Lee, Y. M. Oh, S. D. Lee

Research output: Contribution to journalArticle

Abstract

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a heterogeneous condition that can differ in its clinical manifestation, structural changes and response to treatment. OBJECTIVE: To identify subgroups of COPD with distinct phenotypes, evaluate the distribution of phenotypes in four related regions and calculate the 1-year change in lung function and quality of life according to subgroup. METHODS: Using clinical characteristics, we performed factor analysis and hierarchical cluster analysis in a cohort of 1676 COPD patients from 13 Asian cities. We compared the 1-year change in forced expiratory volume in one second (FEV1), modified Medical Research Council dyspnoea scale score, St George's Respiratory Questionnaire (SGRQ) score and exacerbations according to subgroup derived from cluster analysis. RESULTS: Factor analysis revealed that body mass index, Charlson comorbidity index, SGRQ total score and FEV1 were principal factors. Using these four factors, cluster analysis identified three distinct subgroups with differing disease severity and symptoms. Among the three subgroups, patients in subgroup 2 (severe disease and more symptoms) had the most frequent exacerbations, most rapid FEV1 decline and greatest decline in SGRQ total score. CONCLUSION: Three subgroups with differing severities and symptoms were identified in Asian COPD subjects.

Original languageEnglish
Pages (from-to)820-826
Number of pages7
JournalInternational Journal of Tuberculosis and Lung Disease
Volume22
Issue number7
DOIs
Publication statusPublished - Jul 1 2018
Externally publishedYes

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Chronic Obstructive Pulmonary Disease
Statistical Factor Analysis
Cluster Analysis
Phenotype
Forced Expiratory Volume
Dyspnea
Biomedical Research
Comorbidity
Body Mass Index
Quality of Life
Lung
Surveys and Questionnaires
Therapeutics

Keywords

  • Cluster analysis
  • COPD
  • Dyspnoea
  • Lung function decline

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine
  • Infectious Diseases

Cite this

Identification of chronic obstructive pulmonary disease subgroups in 13 Asian cities. / Kim, W. J.; Gupta, V.; Nishimura, M.; Makita, H.; Idolor, L.; Roa, C.; Loh, L. C.; Ong, C. K.; Wang, J. S.; Boonsawat, W.; Gunasekera, K. D.; Madegedara, D.; Kuo, H. P.; Wang, C. H.; Wang, C.; Yang, T.; Lin, Y. X.; Ko, F. W.S.; Hui, D. S.C.; Lan, L. T.T.; Vu, Q. T.T.; Bhome, A. B.; Ng, A.; Seo, J. B.; Lee, B. Y.; Lee, J. S.; Oh, Y. M.; Lee, S. D.

In: International Journal of Tuberculosis and Lung Disease, Vol. 22, No. 7, 01.07.2018, p. 820-826.

Research output: Contribution to journalArticle

Kim, WJ, Gupta, V, Nishimura, M, Makita, H, Idolor, L, Roa, C, Loh, LC, Ong, CK, Wang, JS, Boonsawat, W, Gunasekera, KD, Madegedara, D, Kuo, HP, Wang, CH, Wang, C, Yang, T, Lin, YX, Ko, FWS, Hui, DSC, Lan, LTT, Vu, QTT, Bhome, AB, Ng, A, Seo, JB, Lee, BY, Lee, JS, Oh, YM & Lee, SD 2018, 'Identification of chronic obstructive pulmonary disease subgroups in 13 Asian cities', International Journal of Tuberculosis and Lung Disease, vol. 22, no. 7, pp. 820-826. https://doi.org/10.5588/ijtld.17.0524
Kim, W. J. ; Gupta, V. ; Nishimura, M. ; Makita, H. ; Idolor, L. ; Roa, C. ; Loh, L. C. ; Ong, C. K. ; Wang, J. S. ; Boonsawat, W. ; Gunasekera, K. D. ; Madegedara, D. ; Kuo, H. P. ; Wang, C. H. ; Wang, C. ; Yang, T. ; Lin, Y. X. ; Ko, F. W.S. ; Hui, D. S.C. ; Lan, L. T.T. ; Vu, Q. T.T. ; Bhome, A. B. ; Ng, A. ; Seo, J. B. ; Lee, B. Y. ; Lee, J. S. ; Oh, Y. M. ; Lee, S. D. / Identification of chronic obstructive pulmonary disease subgroups in 13 Asian cities. In: International Journal of Tuberculosis and Lung Disease. 2018 ; Vol. 22, No. 7. pp. 820-826.
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T1 - Identification of chronic obstructive pulmonary disease subgroups in 13 Asian cities

AU - Kim, W. J.

AU - Gupta, V.

AU - Nishimura, M.

AU - Makita, H.

AU - Idolor, L.

AU - Roa, C.

AU - Loh, L. C.

AU - Ong, C. K.

AU - Wang, J. S.

AU - Boonsawat, W.

AU - Gunasekera, K. D.

AU - Madegedara, D.

AU - Kuo, H. P.

AU - Wang, C. H.

AU - Wang, C.

AU - Yang, T.

AU - Lin, Y. X.

AU - Ko, F. W.S.

AU - Hui, D. S.C.

AU - Lan, L. T.T.

AU - Vu, Q. T.T.

AU - Bhome, A. B.

AU - Ng, A.

AU - Seo, J. B.

AU - Lee, B. Y.

AU - Lee, J. S.

AU - Oh, Y. M.

AU - Lee, S. D.

PY - 2018/7/1

Y1 - 2018/7/1

N2 - BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a heterogeneous condition that can differ in its clinical manifestation, structural changes and response to treatment. OBJECTIVE: To identify subgroups of COPD with distinct phenotypes, evaluate the distribution of phenotypes in four related regions and calculate the 1-year change in lung function and quality of life according to subgroup. METHODS: Using clinical characteristics, we performed factor analysis and hierarchical cluster analysis in a cohort of 1676 COPD patients from 13 Asian cities. We compared the 1-year change in forced expiratory volume in one second (FEV1), modified Medical Research Council dyspnoea scale score, St George's Respiratory Questionnaire (SGRQ) score and exacerbations according to subgroup derived from cluster analysis. RESULTS: Factor analysis revealed that body mass index, Charlson comorbidity index, SGRQ total score and FEV1 were principal factors. Using these four factors, cluster analysis identified three distinct subgroups with differing disease severity and symptoms. Among the three subgroups, patients in subgroup 2 (severe disease and more symptoms) had the most frequent exacerbations, most rapid FEV1 decline and greatest decline in SGRQ total score. CONCLUSION: Three subgroups with differing severities and symptoms were identified in Asian COPD subjects.

AB - BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a heterogeneous condition that can differ in its clinical manifestation, structural changes and response to treatment. OBJECTIVE: To identify subgroups of COPD with distinct phenotypes, evaluate the distribution of phenotypes in four related regions and calculate the 1-year change in lung function and quality of life according to subgroup. METHODS: Using clinical characteristics, we performed factor analysis and hierarchical cluster analysis in a cohort of 1676 COPD patients from 13 Asian cities. We compared the 1-year change in forced expiratory volume in one second (FEV1), modified Medical Research Council dyspnoea scale score, St George's Respiratory Questionnaire (SGRQ) score and exacerbations according to subgroup derived from cluster analysis. RESULTS: Factor analysis revealed that body mass index, Charlson comorbidity index, SGRQ total score and FEV1 were principal factors. Using these four factors, cluster analysis identified three distinct subgroups with differing disease severity and symptoms. Among the three subgroups, patients in subgroup 2 (severe disease and more symptoms) had the most frequent exacerbations, most rapid FEV1 decline and greatest decline in SGRQ total score. CONCLUSION: Three subgroups with differing severities and symptoms were identified in Asian COPD subjects.

KW - Cluster analysis

KW - COPD

KW - Dyspnoea

KW - Lung function decline

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