METHODS: Hematological parameters and results were analyzed and compared in symptomatic (n = 356) and asymptomatic (n = 171) groups respectively, and between these two groups with positive COVID-19 tests. The utility of hematological parameters for predicting positive COVID-19 tests was analyzed using receiver operating characteristic curves.
RESULTS: Individuals with non-severe cases exhibited decreased levels of platelets, lymphocytes, eosinophils, basophils, lymphocytes (%), eosinophils (%), and basophils (%), while exhibiting elevated counts of monocytes, neutrophils (%), monocytes (%), neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP) when compared to suspected cases or asymptomatic carriers. In asymptomatic patients, positive carriers had lower leukocyte, neutrophil, and lymphocyte counts but higher monocyte, monocyte (%), PLR, and CRP levels than negative carriers. Basophil counts combined with lymphocytes or the PLR demonstrated a more significant predictive value in screening non-severe cases earlier compared to other parameters. The combined assessment of the monocyte (%) and the PLR had the highest area under the curve for diagnosing asymptomatic carriers.
CONCLUSIONS: Circulating basophils, alone or in combination with other hematological parameters, may be used as efficient biomarkers for early screening of non-severe Omicron cases.
方法:分别对有症状组(n=356)和无症状组(n=171)的血液学参数和结果进行分析比较,以及COVID-19检测阳性的这两组之间。使用受试者工作特征曲线分析了血液学参数在预测COVID-19阳性测试中的实用性。
结果:非严重病例的个体显示血小板水平降低,淋巴细胞,嗜酸性粒细胞,嗜碱性粒细胞,淋巴细胞(%),嗜酸性粒细胞(%),和嗜碱性粒细胞(%),虽然单核细胞计数升高,中性粒细胞(%),单核细胞(%),中性粒细胞与淋巴细胞的比率,血小板与淋巴细胞比率(PLR),与疑似病例或无症状携带者相比,C反应蛋白(CRP)。在无症状患者中,阳性携带者的白细胞较低,中性粒细胞,和淋巴细胞计数,但单核细胞较高,单核细胞(%),PLR,和CRP水平高于阴性携带者。与其他参数相比,嗜碱性粒细胞计数与淋巴细胞或PLR组合在较早筛查非重症病例中显示出更显着的预测值。单核细胞(%)和PLR的组合评估在诊断无症状携带者的曲线下面积最高。
结论:循环嗜碱性粒细胞,单独或与其他血液学参数组合,可用作早期筛查非严重Omicron病例的有效生物标志物。