Prediction of preterm birth

F Borg1, G Gravino, P Schembri-Wismayer

  • 1Faculty of Medicine and Surgery, Department of Anatomy, University of MaltaTal-Qroqq, Msida, Malta.

Insights

Predicting preterm birth, a leading cause of infant mortality, is challenging due to subtle early signs. This review explores current prediction methods for preterm labor and premature rupture of membranes (PPROM).

Area of Science:

  • Obstetrics and Gynecology
  • Perinatology
  • Neonatal Medicine

Background:

  • Preterm delivery (before 37 weeks) is a major cause of infant morbidity and mortality.
  • Early detection of preterm birth is difficult due to mild or absent initial symptoms.
  • Accurate prediction of preterm birth could significantly reduce mortality, morbidity, and healthcare costs.

Purpose of the Study:

  • To provide an overview of current methods for predicting preterm birth.
  • To review techniques for spontaneous preterm birth (SPB) and preterm premature rupture of membranes (PPROM).

Main Methods:

  • Risk scoring systems
  • Cervical/vaginal screening for fetal fibronectin
  • Cervical assessment via ultrasonography
  • Uterine activity monitoring
  • Biomarker analysis (endocrine factors, cytokines, enzymes, fetal DNA, genetic polymorphisms)

Main Results:

  • No single test accurately predicts spontaneous preterm birth (SPB) due to its multifactorial nature.
  • A combination of biological markers shows promise for estimating preterm delivery risk.

Conclusions:

  • Predicting preterm birth requires a multifaceted approach.
  • Combining various biomarkers may improve the accuracy of preterm delivery risk assessment.

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