Prediction of preterm birth with and without preeclampsia using mid-pregnancy immune and growth-related molecular factors and maternal characteristics

J Perinatol. 2018 Aug;38(8):963-972. doi: 10.1038/s41372-018-0112-0. Epub 2018 May 24.

Abstract

Objective: To evaluate if mid-pregnancy immune and growth-related molecular factors predict preterm birth (PTB) with and without (±) preeclampsia.

Study design: Included were 400 women with singleton deliveries in California in 2009-2010 (200 PTB and 200 term) divided into training and testing samples at a 2:1 ratio. Sixty-three markers were tested in 15-20 serum samples using multiplex technology. Linear discriminate analysis was used to create a discriminate function. Model performance was assessed using area under the receiver operating characteristic curve (AUC).

Results: Twenty-five serum biomarkers along with maternal age <34 years and poverty status identified >80% of women with PTB ± preeclampsia with best performance in women with preterm preeclampsia (AUC = 0.889, 95% confidence interval (0.822-0.959) training; 0.883 (0.804-0.963) testing).

Conclusion: Together with maternal age and poverty status, mid-pregnancy immune and growth factors reliably identified most women who went on to have a PTB ± preeclampsia.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Biomarkers / blood*
  • California
  • Cohort Studies
  • Female
  • Gestational Age
  • Humans
  • Logistic Models
  • Maternal Age
  • Poverty
  • Pre-Eclampsia / diagnosis*
  • Pregnancy / blood
  • Pregnancy Complications / diagnosis*
  • Pregnancy Trimester, First / blood
  • Pregnancy Trimester, Second / blood
  • Premature Birth / blood*
  • Premature Birth / diagnosis*
  • ROC Curve
  • Risk Assessment
  • Risk Factors
  • Young Adult

Substances

  • Biomarkers