Department of Respiratory and Critical Care Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Int J Chron Obstruct Pulmon Dis. 2021 Aug 28;16:2467-2474. doi: 10.2147/COPD.S324511. eCollection 2021.
Elevated blood eosinophils have been implicated in chronic obstructive pulmonary disease (COPD) progression and exacerbation. We aim to investigate clinical predictors of high blood eosinophils in a Chinese COPD cohort.
We conducted a retrospective cohort study in Sichuan province, a Southwest province with high prevalence of COPD in China. All patients in this cohort were extracted from the Chinese Pulmonary Health study, a large cross-sectional study on COPD epidemiology in China. Demographics, personal and family history, living condition, spirometry and blood eosinophil counts were obtained. Univariate and multiple linear regression analyses were performed to determine predictors of high blood eosinophils.
A total of 375 COPD patients were included in this cohort. The median absolute blood eosinophil count was 138.8 cells/μL, and the prevalence of COPD with high blood eosinophils was 66.7% and 14.7% when using the thresholds of 100 cells/μL and 300 cells/μL, respectively. Univariate analyses indicated that male gender, lower body mass index, high-density lipoprotein (HDL), lower family income, raising pets and biomass use were significantly associated with high blood eosinophils (p < 0.05). Multiple linear regression model further revealed male gender (unstandardized coefficient (B)=66.125, 95% confidence intervals (CI) 16.350 to 115.900, p=0.009), age (B=2.819, 95% CI 0.639 to 5.000, p=0.012) predicted high blood eosinophil level, whereas HDL (B=-64.682, 95% CI -123.451 to -5.914, p=0.031) was a negative predictor for high blood eosinophils.
This retrospective cohort study suggests male gender, oldness and lower HDL could be clinical predictors of high blood eosinophils in Chinese COPD patients.
血液嗜酸性粒细胞升高与慢性阻塞性肺疾病（COPD）的进展和加重有关。本研究旨在探讨中国 COPD 患者血液嗜酸性粒细胞升高的临床预测因素。
本研究为回顾性队列研究，在 COPD 患病率较高的中国西南省份四川省进行。该队列中的所有患者均来自中国肺健康研究，这是一项针对中国 COPD 流行病学的大型横断面研究。我们获取了患者的人口统计学、个人和家族史、生活条件、肺功能和血液嗜酸性粒细胞计数等信息。我们进行了单变量和多变量线性回归分析，以确定血液嗜酸性粒细胞升高的预测因素。
本研究共纳入了 375 例 COPD 患者。中位绝对嗜酸性粒细胞计数为 138.8 个/μL，当使用 100 个/μL 和 300 个/μL 作为界值时，高血液嗜酸性粒细胞的 COPD 患病率分别为 66.7%和 14.7%。单变量分析表明，男性、较低的体质指数、高密度脂蛋白（HDL）、较低的家庭收入、养宠物和使用生物质燃料与高血液嗜酸性粒细胞显著相关（p<0.05）。多变量线性回归模型进一步显示，男性（未标准化系数（B）=66.125，95%置信区间（CI）16.350 至 115.900，p=0.009）和年龄（B=2.819，95%CI 0.639 至 5.000，p=0.012）与高血液嗜酸性粒细胞水平相关，而 HDL（B=-64.682，95%CI -123.451 至 -5.914，p=0.031）则是高血液嗜酸性粒细胞的负相关因素。
本回顾性队列研究表明，男性、高龄和较低的 HDL 可能是中国 COPD 患者血液嗜酸性粒细胞升高的临床预测因素。
