Chan Ming Chiu, Yeung Yiu Cheong, Yu Ellen Lok Man, Yu Wai Cho
Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong, China.
Clinical Research Centre, Princess Margaret Hospital, Hong Kong, China.
Int J Chron Obstruct Pulmon Dis. 2020 Nov 10;15:2869-2877. doi: 10.2147/COPD.S268018. eCollection 2020.
Blood eosinophil is a readily available biomarker to reflect the eosinophilic inflammation in chronic obstructive pulmonary disease (COPD) patients, yet its association with exacerbation is inconclusive. It is uncertain which measurement, eosinophil percentage or absolute eosinophil count, should be used and what is the optimal cutoff for exacerbation prediction.
A total of 247 COPD patients were included in this retrospective cohort study. Blood eosinophil during stable disease state, baseline demographics, and clinical characteristics in 12 months after the index complete blood count (CBC) were recorded. Exacerbation frequencies were compared between patients with high and low blood eosinophil percentage using 2% as cut-off. Logistic regression and receiver operating characteristics (ROC) curve analyses were conducted.
Patients with blood eosinophil ≥2% were associated with more frequent exacerbations than patients with eosinophil <2% in the 12 months after the index CBC (mean exacerbation 1.07 vs 0.34, p < 0.001). Higher blood eosinophil percentage conferred a higher risk of exacerbation. Adjusted odds ratio for exacerbation in 12 months after the index CBC for blood eosinophil ≥2% was 2.98 (95% confidence interval = 1.42-6.25). The area under the ROC curve of eosinophil percentage was significantly higher than that of absolute eosinophil count (0.678 vs 0.640, p = 0.010). The optimal cutoff of blood eosinophil percentage for exacerbation prediction was 2.8%.
Blood eosinophilia was associated with higher exacerbation risk in COPD patients. Further studies are required to elucidate the mechanism of eosinophilic inflammation in COPD and determine the optimal treatment strategy to reduce exacerbations.
血液嗜酸性粒细胞是一种易于获取的生物标志物,可反映慢性阻塞性肺疾病(COPD)患者的嗜酸性粒细胞炎症,但它与病情加重的关联尚无定论。目前尚不确定应使用哪种测量方法,即嗜酸性粒细胞百分比还是绝对嗜酸性粒细胞计数,以及用于病情加重预测的最佳临界值是多少。
本回顾性队列研究共纳入247例COPD患者。记录稳定疾病状态下的血液嗜酸性粒细胞、基线人口统计学资料以及在首次全血细胞计数(CBC)后12个月内的临床特征。以2%为临界值,比较血液嗜酸性粒细胞百分比高低的患者之间的病情加重频率。进行了逻辑回归和受试者工作特征(ROC)曲线分析。
在首次CBC后的12个月内,血液嗜酸性粒细胞≥2%的患者比嗜酸性粒细胞<2%的患者病情加重更频繁(平均病情加重次数分别为1.07次和0.34次,p<0.001)。较高的血液嗜酸性粒细胞百分比使病情加重的风险更高。首次CBC后12个月内,血液嗜酸性粒细胞≥2%的患者病情加重的校正比值比为2.98(95%置信区间=1.42-6.25)。嗜酸性粒细胞百分比的ROC曲线下面积显著高于绝对嗜酸性粒细胞计数(0.678对0.640,p=0.010)。用于病情加重预测的血液嗜酸性粒细胞百分比的最佳临界值为2.8%。
血液嗜酸性粒细胞增多与COPD患者较高的病情加重风险相关。需要进一步研究以阐明COPD中嗜酸性粒细胞炎症的机制,并确定减少病情加重的最佳治疗策略。