Clinical characteristics and 2-year outcomes of chronic obstructive pulmonary disease patients with high blood eosinophil counts: a population-based prospective cohort study in China

Archivos de Bronconeumología(2024)

引用 0|浏览3
暂无评分
摘要
Background: High blood eosinophil count (BEC) is a useful biomarker for guiding inhaled corticosteroid therapy in patients with chronic obstructive pulmonary disease (COPD), yet its implications in a community setting remain underexplored. This study aimed to elucidate the clinical characteristics and outcomes of COPD patients with high BEC within the Chinese community.Methods: We obtained baseline and 2-year follow-up data from COPD patients (post-bronchodilator forced expiratory volume in 1 second/forced vital capacity <0.70) in the Early COPD study. Patients with a BEC ≥300 cells/µL were classified as the high BEC group. We assessed differences in the clinical characteristics and outcomes between high and low BEC patients. Sensitivity analyses were conducted on COPD patients without a history of corticosteroid use or asthma.Results: Of the 897 COPD patients, 205 (22.9%) had high BEC. At baseline, high BEC patients exhibited a higher proportion of chronic respiratory symptoms, lower lung function, and more severe small airway dysfunction than low BEC patients. Over the 2-year period, high BEC patients experienced a significantly higher risk of acute exacerbations (relative risk: 1.29, 95% confidence interval: 1.09–1.49; P = 0.002), even after adjusting for confounders. No significant difference was observed in lung function decline rates. The sensitivity analysis yielded consistent results.Conclusions: COPD patients with high BEC in a Chinese community exhibited poorer health status, more severe small airway dysfunction, and a higher risk of exacerbations. Future research should explore the pathological mechanisms underlying the poorer prognosis in patients with high BEC.
更多
查看译文
关键词
chronic obstructive pulmonary disease,blood eosinophil count,cohort study,chronic respiratory symptoms,small airway dysfunction,respiratory health outcomes
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要