Platelet-to-Lymphocyte and Neutrophil-to-Lymphocyte Ratio as Predictive Biomarkers for Early-onset Neonatal Sepsis.

Abstract

To determine the predictive significance of platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) in early-onset neonatal sepsis (EONS). A descriptive study. The Neonatal Intensive Care Unit (NICU), Affiliated Hospital of Yanbian University, Jilin, China, from January 2018 to January 2020. Of the total 124 children, 74 children with EONS were enrolled in group A and 50 children without infection-related diseases were enrolled in group B (control). The EONS risk factors were evaluated by logistic regression. Besides, the PLR and NLR diagnostic performances in EONS were evaluated by plotting the receiving operating characteristic (ROC) curves. In the univariate analysis, the differences for platelet count, lymphocyte number, neutrophil number, NLR, and PLR, between group A and group B were of statistical significance (p = 0.02, 0.021, <0.001, <0.001, and <0.001 respectively). As suggested by logistic regression, PLR and NLR were identified as the factors to independently predict the risk of EONS (p = 0.012, and 0.003, respectively). In addition, the value of area under the ROC curve (AUC) of NLR in predicting EONS was 0.788 (95% CI: 0.708-0.868; p <0.001), which was greater than that of PLR. At the NLR value of ≥3.169, the sensitivity of predicting EONS was 77%, and the specificity was 78%. Peripheral blood NLR and PLR have high predictive value for EONS. The predictive value of NLR as a biomarker for EONS evaluation was greater than that of PLR. Key Words: Neonatal sepsis, Logistic models, ROC curve, Blood cell count.