Is the First-Trimester Systemic Immune-Inflammation Index Associated With Preeclampsia?

Munire Funda Cevher Akdulum1, Erhan Demirdağ1, Seçil İrem Arık1

  • 1Obstetrics and Gynecology, Gazi University, Ankara, TUR.

Cureus
|September 25, 2023
PubMed

Insights

The systemic immune-inflammation index (SII) was significantly higher in women with preeclampsia (PE). This index, calculated in the first trimester, shows potential for predicting preeclampsia in pregnant individuals.

Area of Science:

  • Obstetrics and Gynecology
  • Immunology
  • Biomarkers

Background:

  • Preeclampsia (PE) is a common pregnancy complication characterized by systemic inflammation and oxidative stress.
  • The precise etiology of preeclampsia remains unclear.
  • Early prediction of PE is crucial for maternal and fetal health management.

Purpose of the Study:

  • To investigate the potential of the systemic immune-inflammation index (SII) as an early predictor of preeclampsia.
  • To determine if SII levels in the first trimester can differentiate between pregnancies that develop PE and those that do not.

Main Methods:

  • A retrospective study involving 130 pregnant women (30 with PE, 100 controls).
  • Systemic immune-inflammation index (SII) calculated using the formula: (neutrophil count × platelet count) / lymphocyte count.
  • Demographic and clinical data, including hemogram values, were collected from patient records.

Main Results:

  • A statistically significant difference in SII levels was observed between the PE group and the control group (p=0.03).
  • The determined SII cut-off value for PE prediction was 836.83, with an area under the curve of 0.635.
  • The predictive performance showed a sensitivity of 0.40 and a specificity of 0.60.

Conclusions:

  • The systemic immune-inflammation index (SII) is significantly elevated in women with preeclampsia.
  • First-trimester SII measurement shows potential as a predictive marker for preeclampsia.
  • Combining SII with patient history and other risk factors may improve predictive accuracy due to its moderate sensitivity and specificity.
Abstract