《Table 3 ROC curves of potential biomarker levels for differentiating control group from infantile H

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《基于UHPLC-MS的代谢组学技术研究婴儿巨细胞病毒肝炎湿热内蕴证（英文）》

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Note:aAUC=area under receiver operating characteristic curve；bCI=confi-dence interval P-values were calculated using Student’s t-test，**P<0.01.

To further characterize the predictive value of the identified metabolites in discriminating HCMV hepatitis from NCs，we carried out the ROC analysis.ROC analysis was made based on the logistic regression of differential clinical indicators and differential metabolites between the two groups.The predictive utility of the ROC curve was measured using area under the curve（AUC），and a value close to 1was considered as perfect discrimination[15].As shown in Figure 4and Figure 5，lipid sphingomyelin（SM）and triglycerides（TGs）were potential sensitive and specific biomarkers for HCMV infection.In addition，biomarkers with AUC values greater than 0.9were listed in Table 3.