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Blood eosinophil count as a prognostic biomarker in COPD

  • Yeon Mok Oh
  • , Keu Sung Lee
  • , Yoonki Hong
  • , Sung Chul Hwang
  • , Jae Yeol Kim
  • , Deog Keom Kim
  • , Kwang Ha Yoo
  • , Ji Hyun Lee
  • , Tae Hyung Kim
  • , Seong Yong Lim
  • , Chin Kook Rhee
  • , Hyoung Kyu Yoon
  • , Sang Yeub Lee
  • , Yong Bum Park
  • , Jin Hee Jung
  • , Woo Jin Kim
  • , Sang Do Lee
  • , Joo Hun Park
  • University of Ulsan
  • Ajou University
  • Kangwon National University
  • Chung-Ang University
  • Seoul National University
  • Konkuk University
  • CHA University
  • Hanyang University
  • Kangbuk Samsung Hospital
  • The Catholic University of Korea
  • Korea University
  • Hallym University

Research output: Contribution to journalArticlepeer-review

Abstract

Background: High blood eosinophil count is a predictive biomarker for response to inhaled corticosteroids in prevention of acute exacerbation of COPD, and low blood eosinophil count is associated with pneumonia risk in COPD patients taking inhaled corticosteroids. However, the prognostic role of blood eosinophil count remains underexplored. Therefore, we investigated the associated factors and mortality based on blood eosinophil count in COPD. Methods: Patients with COPD were recruited from 16 hospitals of the Korean Obstructive Lung Disease cohort (n=395) and COPD in Dusty Area cohort (n=234) of Kangwon University Hospital. The two merged cohorts were divided based on blood eosinophil count into three groups: high (≥5%), middle (2%-5%), and low (<2%). Results: The high group had longer six-minute walk distance (high =445.8±81.4, middle =428.5±88.0, and low =414.7±86.3 m), higher body mass index (23.3±3.1, 23.1±3.1, and 22.5±3.2 kg/m2), lower emphysema index (18.5±14.1, 22.2±15.3, and 23.7±16.3), and higher inspiratory capacity/total lung capacity ratio (32.6±7.4, 32.4±9.2, and 29.9% ± 8.9%) (P<0.05). The survival period increased with increasing blood eosinophil count (high =9.52±0.23, middle =8.47±1.94, and low =7.42±0.27 years, P<0.05). Multivariate linear regression analysis revealed that the emphysema index was independently and negatively correlated with blood eosinophil count (P<0.05). Conclusion: In COPD, the severity of emphysema was independently linked with low blood eosinophil count and the longer survival period was associated with increased blood eosinophil count, though it was not proven in the multivariate analysis.

Original languageEnglish
Pages (from-to)3589-3596
Number of pages8
JournalInternational Journal of COPD
Volume13
DOIs
StatePublished - 2018
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biomarker
  • Blood eosinophil
  • COPD

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