Blood Eosinophil Counts and Their Variability and Risk of Exacerbations in COPD: A Population-Based Study.

There is controversy regarding the role of blood eosinophil levels as a biomarker of exacerbation risk in chronic obstructive pulmonary disease (COPD). Our aim was to quantify blood eosinophil levels and determine the risk of exacerbations associated with these levels and their variability. Observational, retrospective, population-based study with longitudinal follow-up in patients with COPD identified in a primary care electronic medical record database in Catalonia, Spain, covering 80% of the general population. Patients were classified into 4 groups using the following cut-offs: (a) <150cells/μl; (b) ≥150 and <300cells/μl; (c) ≥300 and <500cells/μl; (d) ≥500cells/μl. A total of 57,209 patients were identified with a mean age of 70.2 years, a mean FEV1(% predicted) of 64.1% and 51.6% had at least one exacerbation the previous year. The number of exacerbations in the previous year was higher in patients with the lowest and the highest eosinophil levels compared with the intermediate groups. During follow-up the number of exacerbations was slightly higher in the group with the lowest blood eosinophil levels and in those with higher variability in eosinophil counts, but ROC curves did not identify a reliable threshold of blood eosinophilia to discriminate an increased risk of exacerbations. Our results do not support the use of blood eosinophil count as a reliable biomarker of the risk of exacerbation in COPD in a predominantly non-exacerbating population. Of note was that the small group of patients with the highest variability in blood eosinophils more frequently presented exacerbations. Copyright © 2020 SEPAR. Publicado por Elsevier España, S.L.U. All rights reserved.

Citation

Marc Miravitlles, Mònica Monteagudo, Iryna Solntseva, Bernardino Alcázar. Blood Eosinophil Counts and Their Variability and Risk of Exacerbations in COPD: A Population-Based Study. Archivos de bronconeumologia. 2021 Jan;57(1):13-20

Mesh Tags

PMID: 32061402

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