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Blood eosinophil count as a prognostic biomarker in COPD

Authors Oh YM, Lee KS, Hong Y, Hwang SC, Kim JY, Kim DK, Yoo KH, Lee JH, Kim TH, Lim SY, Rhee CK, Yoon HK, Lee SY, Park YB, Jung JH, Kim WJ, Lee SD, Park JH

Received 11 July 2018

Accepted for publication 30 September 2018

Published 31 October 2018 Volume 2018:13 Pages 3589—3596

DOI https://doi.org/10.2147/COPD.S179734

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Colin Mak

Peer reviewer comments 4

Editor who approved publication: Dr Richard Russell


Yeon-Mok Oh,1,* Keu Sung Lee,2,* Yoonki Hong,3,* Sung Chul Hwang,2 Jae Yeol Kim,4 Deog Keom Kim,5 Kwang Ha Yoo,6 Ji-Hyun Lee,7 Tae-Hyung Kim,8 Seong Yong Lim,9 Chin Kook Rhee,10 Hyoung Kyu Yoon,11 Sang Yeub Lee,12 Yong Bum Park,13 Jin Hee Jung,14 Woo Jin Kim,3 Sang-Do Lee,1 Joo Hun Park2

1Department of Pulmonary and Critical Care Medicine and Clinical Research Center for Chronic Obstructive Airway Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea; 2Department of Pulmonary and Critical Care Medicine, Ajou University School of Medicine, Suwon, Korea; 3Department of Internal Medicine and Environmental Health Center, Kangwon National University, Kangwon National University Hospital, Chuncheon, Korea; 4Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea; 5Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea; 6Department of Internal Medicine, Konkuk University School of Medicine, Seoul, Korea; 7Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Korea; 8Division of Pulmonology, Department of Internal Medicine, Hanyang University College of Medicine, Guri, Korea; 9Division of Pulmonary and Critical Care Medicine, Department of Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea; 10Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Seoul St Mary’s Hospital, Catholic University of Korea, Seoul, Korea; 11Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Korea University Anam Hospital, Seoul, Korea; 12Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Korea University Anam Hospital, Seoul, Korea; 13Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Hallym University Kangdong Sacred Heart Hospital, Seoul, Korea; 14Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea

*These authors contributed equally to this work

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.

Keywords: blood eosinophil, COPD, biomarker

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