First insight into eosinophils as a biomarker for the early distinction of COVID-19 from influenza A in outpatients.

IF 2.3 Experimental and therapeutic medicine Pub Date : 2025-01-22 eCollection Date: 2025-03-01 DOI:10.3892/etm.2025.12806
Chuangjie Cao, Haitao Xie, Ruohan Guo, Chengyun Dou, Jian Tang
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Abstract

Coronavirus disease 2019 (COVID-19) and influenza A outbreaks have spread rapidly in China. It is difficult to accurately differentiate these two different respiratory tract infections on the basis of their similar early-stage symptoms and lymphocytopenia. In the present study, the age, sex and white blood cell, neutrophil, lymphocyte, monocyte and eosinophil counts, as well as the neutrophil-to-lymphocyte ratio (NLR) of 201 outpatients with confirmed COVID-19 and 246 outpatients with influenza A were investigated and compared. A receiver operating characteristic curve was drawn to determine the thresholds in distinguishing COVID-19 from influenza A Our study found that the monocyte count and NLR were significantly elevated, while the eosinophil count/percentage was higher in outpatients with COVID-19 than in those with influenza A (0.06±0.07 vs. 0.04±0.09, P=0.002; 0.95±1.12 vs. 0.56±0.95, P<0.001, respectively). Logit(P)=-1.11 + 1.29 x eosinophil percentage -12.07 x eosinophil count +1.10 x monocyte count, deduced from the eosinophil count/percentage and monocyte count, had the largest area under the curve at 0.67, with high specificity (80.1%) and a sensitivity of 47.3%. The present study demonstrated that a higher eosinophil count/percentage may be a potential biomarker to significantly differentiate early COVID-19 from influenza A.

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首次发现嗜酸性粒细胞可作为门诊患者早期区分COVID-19与甲型流感的生物标志物。
2019冠状病毒病(COVID-19)和甲型流感疫情在中国迅速蔓延。这两种呼吸道感染的早期症状相似,淋巴细胞减少,难以准确区分。本研究对201例确诊COVID-19门诊患者和246例甲型流感门诊患者的年龄、性别、白细胞、中性粒细胞、淋巴细胞、单核细胞和嗜酸性粒细胞计数以及中性粒细胞/淋巴细胞比值(NLR)进行了调查和比较。我们的研究发现,门诊COVID-19患者单核细胞计数和NLR显著升高,嗜酸性粒细胞计数/百分比高于A型流感患者(0.06±0.07比0.04±0.09,P=0.002;0.95±1.12 vs. 0.56±0.95,P
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