Blood eosinophil count and GOLD stage predict response to maintenance azithromycin treatment in COPD patients with
Remco S Djamin1, Mona Bafadhel2, Sevim Uzun1
1Department of Respiratory Medicine, Amphia Hospital, Breda, the Netherlands.
Introduction:
Maintenance treatment with macrolides are useful in preventing COPD exacerbations. We investigated which characteristics of COPD patients with frequent exacerbations predicted the best response to maintenance treatment with azithromycin.
Methods:
This study was part of the COLUMBUS trial, a prospective randomized, double-blind, placebo-controlled study in 92 COPD patients with frequent exacerbations. During the 1-year treatment period, follow-up data were collected for spirometry, mMRC scores, sputum cultures and blood inflammatory markers.
Results:
In the azithromycin group a significant lower number of exacerbations per patient was observed in patients with the following characteristics: baseline blood eosinophil count ≥2.0% (x̄ = 1.26), compared to an eosinophil count < 2.0% (x̄ = 2.50; p = 0.02), GOLD stage 1-2 (x̄ = 1.06), versus GOLD stage 4 (x̄ = 2.62; p = 0.02) and GOLD group C (x̄ = 0.45) compared to group D (x̄ = 2.18; p < 0.01). Moreover, the number of hospitalizations was significantly lower in patients, with a blood eosinophil count ≥2.0% (x̄ = 0.26) compared to an eosinophil count < 2.0% (x̄ = 0.90; p = 0.01) and in GOLD stages 1-2 (x̄ = 1.06) compared to stage 4 (x̄ = 2.62; p = 0.04).
Conclusion:
In conclusion, azithromycin maintenance treatment appears to be effective in COPD patients with frequent exacerbations, who are either classified in GOLD stage 1-2 or GOLD C and those with a blood eosinophil count of ≥2.0%.
Related Concept Videos
COPD: Pathogenesis and Clinical Features
The primary cause for the onset of COPD is cigarette smoking and exposure to air pollution. These hazardous factors initiate a chain reaction within the lungs, resulting in chronic inflammation, damage to the airways, and a...
COPD: Management Using Bronchodilators and Corticosteroids
Predicting Molecular Geometry
Maintenance of the ES Cell State
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Self-Evaluation Maintenance Model


