151. Identification of chronic obstructive pulmonary disease subgroups in 13 Asian cities
- Author
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Yeon-Mok Oh, L. T.T. Lan, Joon Beom Seo, A. Ng, Watchara Boonsawat, J. S. Wang, David S.C. Hui, W. J. Kim, Yingxiang Lin, Masaharu Nishimura, Hironi Makita, Ting Yang, Lee Sd, Vivek Gupta, Jung Shin Lee, B. Y. Lee, Chun Hua Wang, C. T. Wang, Q. T.T. Vu, K. D. Gunasekera, Dushantha Madegedara, Choo Khoon Ong, Li Cher Loh, C. Roa, Luisito F. Idolor, A. B. Bhome, Fanny W.S. Ko, and Hung-Chou Kuo more...
- Subjects
Pulmonary and Respiratory Medicine ,Male ,medicine.medical_specialty ,Asia ,Disease cluster ,Severity of Illness Index ,Cohort Studies ,03 medical and health sciences ,Pulmonary Disease, Chronic Obstructive ,0302 clinical medicine ,Quality of life ,Risk Factors ,Internal medicine ,Forced Expiratory Volume ,Surveys and Questionnaires ,Severity of illness ,medicine ,Cluster Analysis ,Humans ,030212 general & internal medicine ,Cities ,Aged ,COPD ,business.industry ,Middle Aged ,medicine.disease ,respiratory tract diseases ,Infectious Diseases ,Dyspnea ,Phenotype ,030228 respiratory system ,Test score ,Cohort ,Quality of Life ,Female ,business ,Factor Analysis, Statistical ,Body mass index ,Cohort study ,Follow-Up Studies - 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. more...
- Published
- 2018