PDF(Pubmed)
Abstract：
BACKGROUND: Omicron variants are currently the predominant circulating lineage worldwide and most cases are mild or asymptomatic. The Omicron variant is characterized by high transmissibility and immune evasion. Early identification of Omicron cases in clinical settings is crucial for controlling its spread. Previous studies have indicated that changes in hematological parameters can be used to predict the severity of coronavirus disease 2019 (COVID-19). However, the role of hematological parameters in non-severe and asymptomatic cases remains unknown. This study aimed to investigate the role of hematological parameters in non-severe and asymptomatic Omicron variant infections.
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.
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.
摘要：
背景：Omicron变体目前是世界范围内主要的循环谱系，大多数病例是轻度或无症状的。Omicron变体的特征在于高传播性和免疫逃避性。在临床环境中早期识别Omicron病例对于控制其传播至关重要。先前的研究表明，血液学参数的变化可用于预测2019年冠状病毒病（COVID-19）的严重程度。然而,血液学参数在非严重和无症状病例中的作用尚不清楚.这项研究旨在研究血液学参数在非严重和无症状Omicron变异感染中的作用。
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。
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。
