Related Experiment Video
Updated: May 11, 2026

Modeling Ascending Vaginal Infection, Preterm Birth, and Neonatal Morbidity in Mice
Published on: October 10, 2025
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.
Abstract:
Preterm delivery is birth occurring before 37 completed weeks of gestation. Preterm birth is the primary cause of morbidity and mortality in children especially if this occurs before 34 weeks of gestation. If preterm birth could be predicted and treated accordingly, this would greatly reduce mortality, morbidity and associated costs. There have been many attempts to develop an accurate and efficient method to predict preterm premature rupture of membranes (PPROM) and preterm labor that leads to spontaneous preterm birth (SPB). However, the initial signs and symptoms are most often mild and may even occur in normal pregnancies, making early detection rather difficult. The aim of this paper is to provide an overview of the current methods employed in predicting preterm birth occurring due to preterm labor and PPROM. Among these methods are risk scoring systems, cervical/vaginal screening for fetal fibronectin, cervical assessment by ultrasonography, uterine activity monitoring, biomarkers such as endocrine factors, cytokines and enzymes, fetal DNA and genetic polymorphism. SPB is multifactorial, and so it is highly unlikely that a single test can accurately predict SPB. A combination of biological markers is also reviewed in the estimation of the risk of preterm delivery.
More Related Videos
Related Concept Videos
Regression Toward the Mean
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
The...
Teratogenicity
Development of the Oral Microbiota
Probability Laws

