Maternal Hemostatic Markers for Neonatal Sepsis Prediction

A collection of results from a retrospective case-control study of 176 newborns, including 37 with neonatal sepsis and 139 healthy controls. It analyzes maternal hemostatic and inflammatory markers, such as prothrombin time (PT), to evaluate their diagnostic performance.

Use Cases

• Train a logistic regression model to predict neonatal sepsis using maternal prothrombin time (PT) as the primary feature.
• Perform ROC curve analysis to assess the diagnostic accuracy of markers like PT, white blood cell count (WBC), and neutrophil-to-lymphocyte ratio (NLR).
• Compare hemostatic parameters such as activated partial thromboplastin time (aPTT) and international normalized ratio (INR) between sepsis and control groups.
• Analyze the relationship between systemic inflammatory indices (SII, SIRI, PIV) and neonatal sepsis outcomes.

Strengths

• Data is derived from a defined study population of 176 newborns.
• Includes analysis of multiple specific maternal biomarkers, such as PT, aPTT, INR, WBC, and NLR.
• Results are supported by statistical methods including multivariate logistic regression and ROC analysis.

Limitations

• Small sample size of 176 subjects, with only 37 positive cases, limiting statistical power.
• Retrospective case-control design may introduce selection bias.
• Geographic and demographic scope of the study population is not specified.

Provenance

Source

figshare, authored by Gökçenur Karakelleoğlu.

Collection Method

Retrospective case-control study analyzing maternal blood samples collected at delivery.

Freshness

Last updated in March 2026.