The relationship between early-onset preeclampsia and the prognostic nutritional index and inflammatory markers

Alev Esercan1, Cigdem Cindoglu2

  • 1Obstetrics and Gynecology, Sanliurfa Education and Research Hospital, Sanliurfa, Turkey.

Insights

Early-onset preeclampsia prediction is explored using prognostic nutritional index (PNI) and pan immune inflammation value (PIV). Lower PNI scores may indicate early-onset preeclampsia, though with limited predictive accuracy.

Area of Science:

  • Obstetrics and Gynecology
  • Clinical Chemistry
  • Immunology

Background:

  • Preeclampsia remains a significant challenge in pregnancy, with its causes and treatments not fully understood.
  • Early-onset preeclampsia, occurring before 34 weeks gestation, requires effective predictive markers.
  • The prognostic nutritional index (PNI) and pan immune inflammation value (PIV) are emerging biomarkers for disease prognosis.

Purpose of the Study:

  • To evaluate the utility of PNI and PIV in predicting early-onset preeclampsia.
  • To compare PNI and PIV levels between women with early-onset preeclampsia and healthy pregnant women.

Main Methods:

  • A case-control study involving 70 patients with early-onset preeclampsia and 140 normotensive pregnant women.
  • Measurement of neutrophil, lymphocyte, monocyte, thrombocyte, albumin (ALB), PIV, and PNI scores.
  • Statistical analysis to compare biomarker levels between groups.

Main Results:

  • A significant difference in PIV was observed between the groups (p=0.04).
  • The prognostic nutritional index (PNI) was significantly lower in the early-onset preeclampsia group (p<0.001).
  • A PNI cutoff of 36.30 showed low sensitivity (31.1%) and specificity (45%) for predicting early-onset preeclampsia (AUC=0.24).

Conclusions:

  • Lower PNI scores may be associated with early-onset preeclampsia.
  • The current PNI cutoff demonstrates limited predictive value for early-onset preeclampsia.
  • Further research is needed to identify more accurate biomarkers for early-onset preeclampsia prediction.
Abstract

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