Full multivariate logistic regression model.

ObjectiveTo evaluate the diagnostic performance of maternal hemostatic and inflammatory markers in predicting neonatal sepsis.MethodsThis retrospective case–control study included 176 newborns, of whom 37 were diagnosed with neonatal sepsis and 139 were healthy controls. Maternal blood samples collected at delivery were analyzed for white blood cell count (WBC), neutrophil-to-lymphocyte ratio (NLR), platelet count (PLT), prothrombin time (PT), activated partial thromboplastin time (aPTT), international normalized ratio (INR), and systemic inflammatory indices (SII, SIRI, PIV). Group comparisons were performed using the Mann-Whitney U and Chi-square tests. Predictive markers were assessed using multivariate logistic regression and ROC curve analysis.ResultsMaternal PT was significantly higher in the sepsis group (p ConclusionMaternal PT demonstrates excellent diagnostic accuracy in predicting neonatal sepsis. As one of the first studies to apply logistic regression and ROC analysis solely to maternal hemostatic and inflammatory markers, our findings suggest that maternal PT could serve as a valuable, easily obtainable biomarker for early neonatal sepsis risk stratification.