背景:目前,有数百个血液学参数用于快速诊断新生儿败血症,但没有网络荟萃分析来比较这些参数的诊断效能.
方法:我们搜索了有关诊断新生儿败血症的文献,并选择了20个最常见的参数来比较其诊断功效。我们使用贝叶斯网络荟萃分析,频繁网络荟萃分析,和个体传统诊断荟萃分析进行数据分析并验证结果的稳定性。根据上述分析,我们对20个参数的诊断效能进行了排序,并搜索了最佳指标.我们还根据不同的设计进行了亚组分析。采用GRADE评价证据质量。
结果:311篇文章被纳入分析,其中206篇文章被纳入网络荟萃分析。喜欢优势指数前三名的贝叶斯模型是P-SEP,SAA,CD64在个人模型中,P-SEP,SAA,CD64的灵敏度最好;ABC,SAA,P-SEP特异性最好。频率统计模型表明,CD64、P-SEP、IL-10的灵敏度排名前三,而P-SEP,ABC,和I/M特异性。总的来说,P-SEP,SAA,CD64和PCT在所有三种方法中都具有良好的敏感性和特异性。亚组分析结果与总体分析结果一致。所有证据大多是中等或低质量的。
结论:P-SEP,SAA,CD64、PCT对新生儿败血症有较好的诊断效能。然而,需要进一步的研究来证实这些发现。
BACKGROUND: Currently, there are hundreds of hematological parameters used for rapid diagnosis of neonatal sepsis, but there is no network meta-analysis to compare the diagnostic efficacy of these parameters.
METHODS: We searched for literature on the diagnostic neonatal sepsis and selected 20 of the most common parameters to compare their diagnostic efficacy. We used Bayesian network meta-analysis, Frequentist network meta-analysis, and individual traditional diagnostic meta-analysis to analyze the data and verify the stability of the results. Based on the above analysis, we ranked the diagnostic efficacy of 20 parameters and searched for the optimal indicator. We also conducted subgroup analysis based on different designs. GRADE was used to evaluate the quality of evidence.
RESULTS: 311 articles were included in the analysis, of which 206 articles were included in the network meta-analysis. Bayesian models fond the top three of the advantage index were P-SEP, SAA, and CD64. In Individual model, P-SEP, SAA, and CD64 had the best sensitivity; ABC, SAA, and P-SEP had the best specificity. Frequentist model showed that CD64, P-SEP, and IL-10 ranked in the top three for sensitivity, while P-SEP, ABC, and I/M in specificity. Overall, P-SEP, SAA, CD64, and PCT have good sensitivity and specificity among all the three methods. The results of subgroup analysis were consistent with the overall analysis. All evidence was mostly of moderate or low quality.
CONCLUSIONS: P-SEP, SAA, CD64, and PCT have good diagnostic efficacy for neonatal sepsis. However, further studies are required to confirm these findings.