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血嗜酸性粒细胞计数与FEV1下降的关联:一项队列研究

2024/07/31

   摘要
   背景:肺功能加速下降是慢性阻塞性肺疾病(COPD)的特征。然而,在没有常见肺部疾病的年轻人群中,血嗜酸性粒细胞计数与肺功能下降之间的关联(结合当前吸烟状况)目前仍不完全清楚。
   方法:这是一项在基线无COPD或哮喘史的629784名韩国成年人进行的队列研究,受试者均参加了包括肺功能测定和血细胞分类计数的健康筛查检查。该研究使用线性混合效应模型校正包括吸烟状态在内的协变量,通过基线血嗜酸性粒细胞数目估计FEV1(mL)的年变化情况。该研究还根据基线吸烟状态和随时间变化的吸烟状况进行分层分析。
   结果:经过平均6.5年(最长17.8年)的随访,在完全校正模型中,嗜酸性粒细胞数目<100、100-199、200-299、300-499和≥500个细胞/µL受试者的FEV1年变化(95%置信区间[CI])分别为-23.3(-23.9,-22.7)、-24.3(-24.9,-23.7)、-24.8(-25.5,-24.2)、-25.5(-26.2,-24.8)和-26.8(-27.7,-25.9)mL。当按吸烟状态进行分层分析时,在从不吸烟者和曾经吸烟者中,嗜酸性粒细胞计数较高受试者的FEV1下降速度均快于嗜酸性粒细胞计数较低的受试者,这种情况在随时间变化的吸烟状态的分析中仍持续存在。
   结论:在无肺部疾病的健康人群中,血嗜酸性粒细胞计数与更快的肺功能下降相关,而与吸烟状况无关。研究结果表明,血液嗜酸性粒细胞计数会增加肺功能更快下降的风险,特别是在没有肺部疾病史的年轻人中
 
(四川大学华西医院呼吸与危重症医学科 林红霞1 王霁1 王刚1 )
(Eur Respir J. 2024 Apr 18:2301037. doi: 10.1183/13993003.01037-2023. Epub ahead of print. PMID: 38636990.)
 
 
The association of blood eosinophil counts and FEV1 decline: a cohort study asthma
 
Hong YS, Park HY, Ryu S, Shin SH, Zhao D, Singh D, Guallar E, Cho J, Chang Y, Lim SY.
Eur Respir J. 2024 Apr 18:2301037. doi: 10.1183/13993003.01037-2023. Epub ahead of print. PMID: 38636990.
 
Abstrast
Background: Accelerated lung function decline is characteristic of chronic obstructive pulmonary disease (COPD). However, the association between blood eosinophil counts and lung function decline, accounting for current smoking status, in young individuals without prevalent lung disease is not fully understood.
Methods: This is a cohort study of 629 784 Korean adults without COPD or a history of asthma at baseline who participated in health screening examinations including spirometry and differential white blood cell counts. We used linear mixed effects model to estimate the annual change in FEV1(mL) by baseline blood eosinophil count, adjusting for covariates including smoking status. We also performed a stratified analysis by baseline and time-varying smoking status.
Results: During a mean follow-up of 6.5 years (maximum of 17.8 years), the annual change in FEV1(95% confidence interval [CI]) in participants with eosinophil counts <100, 100-199, 200-299, 300-499, and ≥500 cells/µL in the fully adjusted model were -23.3 (-23.9, -22.7), -24.3 (-24.9, -23.7), -24.8 (-25.5, -24.2), -25.5 (-26.2, -24.8), and -26.8 (-27.7, -25.9) mL, respectively. When stratified by smoking status, participants with higher eosinophil count had a faster decline in FEV1than those with lower eosinophil count in both never- and ever-smokers, which persisted when time-varying smoking status was used.
Conclusions: Blood eosinophil counts were associated with a faster lung function decline among healthy individuals without lung disease, independent of smoking status. The findings suggest that blood eosinophil counts contribute to the risk of faster lung function decline, particularly among younger adults without a history of lung disease.
 
 



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