CRP-triglyceride-glucose index (CTGI) as a predictor of preeclampsia: a population-based study of risk stratification

Yuting Liang1,2, Yanqiu Zhang3, Yujing Li4

  • 1Center for Clinical Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215123, People's Republic of China.

PubMed

Insights

The C-reactive protein-triglyceride-glucose (CTGI) index is a novel biomarker for predicting preeclampsia (PE) risk. Elevated CTGI levels in early pregnancy are independently linked to a higher likelihood of developing PE, especially above a specific threshold.

Area of Science:

  • Obstetrics and Gynecology
  • Biomarkers
  • Metabolic Syndrome

Background:

  • Preeclampsia (PE) is a major global cause of maternal and perinatal mortality.
  • Metabolic and inflammatory factors are implicated in PE pathogenesis.
  • The clinical utility of composite biomarkers for PE risk stratification is underexplored.

Purpose of the Study:

  • To investigate the association between the C-reactive protein-triglyceride-glucose (CTGI) index and preeclampsia risk.
  • To evaluate CTGI as a novel marker of metabolic-inflammation stress in pregnancy.

Main Methods:

  • Retrospective cohort study of 11,916 pregnant women (486 with PE).
  • Logistic regression, quartile stratification, restricted cubic spline, and threshold effect analyses were used.
  • Subgroup analyses assessed interaction effects across maternal and obstetric variables.

Main Results:

  • Elevated CTGI levels were significantly higher in women with PE.
  • CTGI was an independent risk factor for PE (aOR, 1.78; P<.001), with a dose-response relationship.
  • A nonlinear association was found, with PE risk increasing sharply above a CTGI threshold of 2.244 (aOR, 3.93; P<.001).

Conclusions:

  • Elevated early pregnancy CTGI is independently and nonlinearly associated with increased PE risk.
  • A CTGI threshold of 2.244 signifies a critical point for sharply rising PE risk.
  • CTGI shows potential as an early risk stratification biomarker for timely intervention in high-risk pregnancies.
Abstract

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