首页> 外文期刊>Clinical chemistry and laboratory medicine: CCLM >Early detection of an early onset infection in the neonate based on measurements of procalcitonin and C-reactive protein concentrations in cord blood.
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Early detection of an early onset infection in the neonate based on measurements of procalcitonin and C-reactive protein concentrations in cord blood.

机译:根据脐带血中降钙素原和C反应蛋白的浓度,对新生儿的早期感染进行早期检测。

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BACKGROUND: The aim of this study was to test the diagnostic model of combining procalcitonin (PCT) and C-reactive protein (CRP) levels in the cord blood and routinely used biochemical parameters and clinical data in the prediction of early onset neonatal infection. METHODS: PCT and CRP concentrations were measured in cord blood of neonates with infection (group A, n=46) and compared with uninfected neonates (group B, n=240). Inclusion criteria for group A were based on obstetric history, clinical data and results of laboratory tests. Logistic regression was applied. The receiver operating characteristic (ROC) curves were constructed for PCT, CRP and the diagnostic model. RESULTS: There was a highly significant (p<0.000001) difference in PCT and CRP concentrations between both groups. The cut-off point for PCT in cord blood was 1.22 ng/mL [sensitivity % (SE%) 80.43, specificity % (SP%) 71.67, positive predictive value % (PPV%) 35.24, negative predictive value % (NPV%) 95.03], and 1.0 mg/L for CRP (SE% 73.91, SP% 77.92, PPV% 39.08, NPV% 93.97). In total, seven variables were included in the model (concentrations of PCT and CRP in cord blood, tocolysis, nutritional status of the newborn, Apgar score, neutrophil ratio and red blood cell count in neonatal venous blood), which proved to offer the highest sensitivity (91.3%; 95% CI: 83-99) and specificity (90%; 95% CI: 86-94) for the detection of early onset neonatal infection. The likelihood ratio for the model was high at 9.13, with PPV% 63.64 (95% CI: 52-75), NPV% 98.18 (95% CI: 96-100) and calculated area under the curve at 0.973. CONCLUSIONS: The diagnostic model based on seven clinical and laboratory parameters, using the concentration of PCT and CRP measurements in the cord blood, could be a useful tool for the prediction of early onset neonatal infection.
机译:背景:本研究的目的是测试脐血中降钙素原(PCT)和C反应蛋白(CRP)水平结合的诊断模型,以及常规使用的生化参数和临床数据来预测新生儿早期感染。方法:测定感染的新生儿(A组,n = 46)的脐带血中的PCT和CRP浓度,并与未感染的新生儿(B组,n = 240)进行比较。 A组的入选标准基于产科病史,临床数据和实验室检查结果。应用逻辑回归。为PCT,CRP和诊断模型构建了接收器工作特性(ROC)曲线。结果:两组之间的PCT和CRP浓度存在极显着(p <0.000001)差异。脐带血中PCT的临界点为1.22 ng / mL [敏感性%(SE%)80.43,特异性%(SP%)71.67,阳性预测值%(PPV%)35.24,阴性预测值%(NPV%) 95.03]和1.0 mg / L的CRP(SE%73.91,SP%77.92,PPV%39.08,NPV%93.97)。该模型总共包含七个变量(脐带血中PCT和CRP的浓度,溶栓,新生儿的营养状况,Apgar评分,中性粒细胞比率和新生儿静脉血中的红细胞计数),这些变量被证明是最高的检测早期发作的新生儿感染的敏感性(91.3%; 95%CI:83-99)和特异性(90%; 95%CI:86-94)。该模型的似然比很高,为9.13,PPV%为63.64(95%CI:52-75),NPV%为98.18(95%CI:96-100),曲线下计算面积为0.973。结论基于脐带血中PCT和CRP浓度的测量,基于七个临床和实验室参数的诊断模型可能是预测早发新生儿感染的有用工具。

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