单核细胞比率和中性粒细胞比率用于甲型流感病毒感染的预测价值分析(1)
[摘要] 目的 检测甲型流感病毒(IVA)患者白细胞计数(WBC)、淋巴细胞比率(LYM%)、单核细胞比率(MO%)、中性粒细胞比率(NE%)、嗜酸性粒细胞比率(EOS%)和C反应蛋白(CRP)水平，用于判断其预测IVA的诊断效能。 方法 采用病例对照研究，方便选取2018年1月—2019年7月临床诊断为IVA的儿童149例为IVA组和健康儿童101名为对照组，对上述儿童采集血样后检测WBC、LYM%、MO%、NE%、EOS%和CRP，采用非参数检验的Mann-Whitney U 检验方法判断两组儿童的感染指标;采用受试者工作特征曲线(ROC)比较WBC、LYM%、MO%、NE%、EOS%和CRP的诊断效能，以曲线下面积(AUC)判断诊断效果。 结果 IVA组的WBC、MO%、NE%和CRP的检测水平均高于对照组，差异有统计学意义(P<0.05)，而LYM%和EOS%检测则以对照组为最高(P<0.001)。WBC诊断IVA的截断值为7.91×109/L，其灵敏度和特异度分别为51.00%和80.20%，其診断IVA的AUC为0.627。MO%诊断IVA的截断值为8.15%，其AUC为0.968，其灵敏度和特异度达91.90%和94.10%，约登指数为0.860。NE%诊断IVA的截断值为53.55%，其AUC为0.905，其灵敏度和特异度达78.50%和94.10%，约登指数为0.726。CRP诊断IVA的截断值为6.75 mg/L，其AUC为0.586。 结论 MO%和NE%均可用于IVA的辅助诊断，以MO%诊断IVA的效能最高。
[关键词] 单核细胞比率;中性粒细胞比率;甲型流感病毒;受试者工作特征曲线
[中图分类号] R511 [文献标识码] A [文章编号] 1674-0742(2020)08(a)-0064-03
Analysis of Predictive Value of Monocyte Ratio and Neutrophil Ratio for Influenza A Virus Infection
ZENG Lian-ying， CAO Ying， HUANG Yu-xia， CAI Wei-xiong， HU Chun-yu
Department of Medical Laboratory， Boluo County People's Hospital， Boluo， Guangdong Province， 516100 China
[Abstract] Objective To determine the predictive diagnostic efficacy of leukocyte count (WBC)， lymphocyte ratio (LYM%)， monocyte ratio (MO%)， neutrophil ratio (NE%)， eosinophil ratio (EOS%) and c-reactive protein (CRP) levels in patients with influenza a virus (IVA). Methods 149 children with clinical diagnosis of IVA were selected as the IVA group and 101 healthy children were conveniently selected as the control group from January 2018 to July 2019 in the case-control study. Blood samples were collected from these children and WBC， LYM%， MO%，NE%， EOS% and CRP were detected. Non-parametric mann-whitney U test was used to determine the infection indicators of the two groups of children. The diagnostic efficacy of WBC， LYM%， MO%， NE%， EOS% and CRP was compared using the receiver operating characteristic curve (ROC)， and the diagnostic efficacy was judged by the area under the curve(AUC). Results The detection levels of WBC， MO%， NE% and CRP in the IVA group were all higher than those in the healthy group， with statistically significant differences (P<0.05)， while the detection levels of LYM% and EOS% were highest in the control group (P<0.001). The cut-off value of WBC in diagnosing IVA was 7.91×109/L， its sensitivity and specificity were 51.00% and 80.20%， respectively， and its AUC in diagnosing IVA was 0.627. The cut-off value of MO% in diagnosing IVA was 8.15%， its AUC was 0.968， its sensitivity and specificity were 91.90% and 94.10%， and the jorden index was 0.860. The cut-off value of diagnostic IVA was 53.55%， the AUC was 0.905， the sensitivity and specificity were 78.50% and 94.10%， and the yoden index was 0.726. The cut-off value of CRP in diagnosing IVA was 6.75 mg/L， and its AUC was 0.586. Conclusion MO% and NE% can be used to diagnose IVA， and MO% has the highest diagnostic efficiency., 百拇医药(曾连英 曹颖 黄玉霞 蔡伟雄 胡春毓)
[关键词] 单核细胞比率;中性粒细胞比率;甲型流感病毒;受试者工作特征曲线
[中图分类号] R511 [文献标识码] A [文章编号] 1674-0742(2020)08(a)-0064-03
Analysis of Predictive Value of Monocyte Ratio and Neutrophil Ratio for Influenza A Virus Infection
ZENG Lian-ying， CAO Ying， HUANG Yu-xia， CAI Wei-xiong， HU Chun-yu
Department of Medical Laboratory， Boluo County People's Hospital， Boluo， Guangdong Province， 516100 China
[Abstract] Objective To determine the predictive diagnostic efficacy of leukocyte count (WBC)， lymphocyte ratio (LYM%)， monocyte ratio (MO%)， neutrophil ratio (NE%)， eosinophil ratio (EOS%) and c-reactive protein (CRP) levels in patients with influenza a virus (IVA). Methods 149 children with clinical diagnosis of IVA were selected as the IVA group and 101 healthy children were conveniently selected as the control group from January 2018 to July 2019 in the case-control study. Blood samples were collected from these children and WBC， LYM%， MO%，NE%， EOS% and CRP were detected. Non-parametric mann-whitney U test was used to determine the infection indicators of the two groups of children. The diagnostic efficacy of WBC， LYM%， MO%， NE%， EOS% and CRP was compared using the receiver operating characteristic curve (ROC)， and the diagnostic efficacy was judged by the area under the curve(AUC). Results The detection levels of WBC， MO%， NE% and CRP in the IVA group were all higher than those in the healthy group， with statistically significant differences (P<0.05)， while the detection levels of LYM% and EOS% were highest in the control group (P<0.001). The cut-off value of WBC in diagnosing IVA was 7.91×109/L， its sensitivity and specificity were 51.00% and 80.20%， respectively， and its AUC in diagnosing IVA was 0.627. The cut-off value of MO% in diagnosing IVA was 8.15%， its AUC was 0.968， its sensitivity and specificity were 91.90% and 94.10%， and the jorden index was 0.860. The cut-off value of diagnostic IVA was 53.55%， the AUC was 0.905， the sensitivity and specificity were 78.50% and 94.10%， and the yoden index was 0.726. The cut-off value of CRP in diagnosing IVA was 6.75 mg/L， and its AUC was 0.586. Conclusion MO% and NE% can be used to diagnose IVA， and MO% has the highest diagnostic efficiency., 百拇医药(曾连英 曹颖 黄玉霞 蔡伟雄 胡春毓)