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在中国应用新生儿早发型败血症风险计算器的疗效与安全性。

Efficacy and safety of applying a neonatal early-onset sepsis risk calculator in China.

作者信息

He Yi, Chen Jie, Liu Zhenqiu, Yu Jialin

机构信息

Department of Neonatology, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China.

Pediatric Research Institute, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing, China.

出版信息

J Paediatr Child Health. 2020 Feb;56(2):237-243. doi: 10.1111/jpc.14572. Epub 2019 Jul 22.

Abstract

AIM

To evaluate and compare the performance of the early-onset sepsis (EOS) risk calculator with procalcitonin (PCT), complete blood count (CBC) and C-reactive protein (CRP) for predicting neonatal EOS.

METHODS

This was a retrospective case-control study of neonates who were ≥34 weeks of gestation and ≤12 h of age at admission to our hospital between January 2017 and December 2018. Neonates with strictly defined EOS and those without evidence of infection were included in this study. We reviewed and collected the laboratory data and medical charts of the included neonates. The EOS risk scores for all neonates were calculated using the EOS risk calculator, and the results were analysed and compared with blood biomarkers.

RESULTS

A total of 501 neonates, including 353 infected and 148 uninfected infants, met the inclusion criteria for the study. Comparing these predictors, PCT had the best predictive value (sensitivity: 87.5%, specificity: 95.5%), closely followed by the EOS risk calculator (sensitivity: 81.16%, specificity: 93.92%). Multivariate logistic regression found that risk scores calculated by the EOS risk calculator had strong associations with EOS as an independent risk factor (odds ratio: 57.37, P < 0.05). The combination of the EOS risk calculator, PCT, CBC and CRP could increase the predictive value of the model and reach an area under the receiver operating characteristic curve of 0.987 for predicting EOS.

CONCLUSIONS

In this pilot study, applying the EOS calculator in China, the EOS risk calculator and PCT showed good predictive value compared to CBC and CRP. Risk scores from the EOS risk calculator strongly correlated with EOS, and the EOS risk calculator offered increased predictive value when used in combination with blood biomarkers.

摘要

目的

评估并比较早发型败血症(EOS)风险计算器与降钙素原(PCT)、全血细胞计数(CBC)及C反应蛋白(CRP)预测新生儿EOS的性能。

方法

这是一项回顾性病例对照研究,研究对象为2017年1月至2018年12月期间入院时孕周≥34周且年龄≤12小时的新生儿。本研究纳入了严格定义的EOS新生儿以及无感染证据的新生儿。我们回顾并收集了纳入新生儿的实验室数据和病历。使用EOS风险计算器计算所有新生儿的EOS风险评分,并分析结果并与血液生物标志物进行比较。

结果

共有501名新生儿符合研究纳入标准,其中包括353名感染婴儿和148名未感染婴儿。比较这些预测指标,PCT具有最佳预测价值(敏感性:87.5%,特异性:95.5%),紧随其后的是EOS风险计算器(敏感性:81.16%,特异性:93.92%)。多因素逻辑回归发现,EOS风险计算器计算的风险评分与作为独立危险因素的EOS有很强的关联(比值比:57.37,P<0.05)。EOS风险计算器、PCT、CBC和CRP的组合可提高模型的预测价值,预测EOS时受试者操作特征曲线下面积达到0.987。

结论

在这项在中国应用EOS计算器的初步研究中,与CBC和CRP相比,EOS风险计算器和PCT显示出良好的预测价值。EOS风险计算器的风险评分与EOS密切相关,并且与血液生物标志物联合使用时,EOS风险计算器的预测价值有所提高。

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