PCT、HNL和CD64水平对细菌性感染的诊断价值
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  • 英文篇名:Roles of PCT,HNL and CD64 in the diagnosis of bacterial infection
  • 作者:马彩燕 ; 赖文强 ; 陈小平
  • 英文作者:MA Caiyan;LAI Wenqiang;CHEN Xiaoping;Department of Clinical Laboratory,the First People's Hospital of Hangzhou Fuyang District;Department of Clinical Laboratory,Taizhou Central Hospital,the Affiliated Hospital of Taizhou University;Department of Clinical Laboratory,Jinhua People's Hospital;
  • 关键词:细菌性感染 ; 降钙素原 ; 人中性粒细胞载脂蛋白 ; 中性粒细胞CD64
  • 英文关键词:Procalcitonin;;Human neutrophil lipocalin;;Neutrophil CD64;;Bacterial infection
  • 中文刊名:SHYY
  • 英文刊名:Laboratory Medicine
  • 机构:杭州市富阳区第一人民医院检验科;台州市中心医院台州学院附属医院检验科;金华市人民医院检验科;
  • 出版日期:2019-05-30
  • 出版单位:检验医学
  • 年:2019
  • 期:v.34
  • 语种:中文;
  • 页:SHYY201905013
  • 页数:4
  • CN:05
  • ISSN:31-1915/R
  • 分类号:59-62
摘要
目的探讨降钙素原(PCT)、人中性粒细胞载脂蛋白(HNL)和中性粒细胞CD64水平对细菌性感染的诊断价值。方法选取感染患者86例,其中44例确诊为单纯细菌性感染(细菌感染组)、42例确诊为单纯病毒性感染(病毒感染组),以40名体检健康者作为正常对照组。同时检测3组血液PCT、HNL、CD64水平及白细胞(WBC)计数。采用受试者工作特征(ROC)曲线评估PCT、HNL、CD64及WBC计数诊断细菌性感染的价值。结果细菌感染组PCT、HNL、CD64水平及WBC计数显著高于病毒感染组和正常对照组(P<0.05),病毒感染组CD64水平及WBC计数显著高于正常对照组(P<0.05)。PCT、HNL、CD64及WBC计数诊断细菌性感染的敏感性分别为79.55%、84.09%、81.82%、77.27%,特异性分别为83.33%、88.09%、85.71%、85.71%。ROC曲线分析结果显示,HNL、CD64、PCT及WBC计数诊断细菌性感染的曲线下面积(AUC)分别为0.914、0.900、0.837、0.748。结论 PCT、HNL、CD64可用于细菌性感染的诊断,HNL的诊断价值最大。
        Objective To investigate the roles of procalcitonin(PCT),human neutrophil lipocalin(HNL)and neutrophil CD64 in the diagnosis of bacterial infection. Methods A total of 86 patients with suspected bacterial infection were enrolled. There were 44 cases of bacterial infection group,42 cases of viral infection group and 40 cases of healthy subjects(healthy control group). The levels of PCT,HNL,CD64 and white blood cell(WBC)count of bacterial infection,viral infection and healthy control groups were determined,and the diagnostic roles of PCT,HNL and CD64 were evaluated by receiver operating characteristic(ROC)curve. Results Compared with viral infection and healthy control groups,PCT,HNL and CD64 levels and WBC counts in bacterial infection group were increased(P<0.05). CD64 level and WBC count were increased in viral infection group compared with healthy control group(P<0.05). The sensitivities of PCT,HNL,CD64 and WBC count for the diagnosis of bacterial infection were 79.55%,84.09%,81.82% and 77.27%,respectively. The specificities were 83.33%,88.09%,85.71% and 85.71%,respectively. The areas under ROC curves(AUC) of HNL,CD64,PCT and WBC count were 0.914,0.900,0.837 and 0.748,respectively. Conclusions HNL,CD64,PCT and WBC count can be used in the diagnosis of bacterial infection. HNL plays a role for the diagnosis of bacterial infection.
引文
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