Comparison of clinical baseline characteristics between Asian and Western COPD patients in a prospective, international, multicenter study

Int J Chron Obstruct Pulmon Dis. 2019 Jul 25;14:1595-1601. doi: 10.2147/COPD.S208245. eCollection 2019.

Abstract

We aimed to compare clinical characteristics between Asian and Western chronic obstructive pulmonary disease (COPD) patients. This was a sub-analysis of an international, multicenter, prospective cohort study. Asian patients were enrolled in Singapore and South Korea. Western patients were enrolled in Spain, Poland, Ireland, the United Kingdom, and Malta. A total of 349 patients were analyzed. Among them, 110 (32%) patients were Asian and 239 (68%) Western. Male sex was more predominant in Asian than in Western (95% versus 63%, respectively; P<0.01). Body mass index was significantly lower in Asian (23.5 versus 27.1; P<0.01). The proportion of patients with a history of exacerbation was lower in Asian (12% versus 64%; P<0.01). Although patients were enrolled by same inclusion criteria, there were several differences between Asian and Western COPD patients. Our study has shown unbiased real-world differences between Asian and Western COPD patients. Since prospective follow-up study is currently ongoing, the result of this study can be fundamental base of future analysis.

Keywords: Asian; COPD; Western.

Publication types

  • Comparative Study
  • Multicenter Study

MeSH terms

  • Aged
  • Asian Continental Ancestry Group / statistics & numerical data
  • Body Mass Index
  • Cohort Studies
  • European Continental Ancestry Group / statistics & numerical data
  • Female
  • Global Health / ethnology
  • Global Health / statistics & numerical data
  • Humans
  • Male
  • Middle Aged
  • Prospective Studies
  • Pulmonary Disease, Chronic Obstructive* / diagnosis
  • Pulmonary Disease, Chronic Obstructive* / ethnology
  • Pulmonary Disease, Chronic Obstructive* / physiopathology
  • Respiratory Function Tests* / methods
  • Respiratory Function Tests* / statistics & numerical data
  • Risk Factors
  • Severity of Illness Index