Assisted reproduction for the validation of gestational age assessment methods

Hind Beydoun1, Bethrand Ugwu, Sergio Oehninger

  • 1Graduate Program in Public Health, Eastern Virginia Medical School, Norfolk, VA, USA. baydouha@evms.edu

Insights

Preterm birth (PTB) is a major cause of infant death. This review evaluates methods for determining gestational age, crucial for classifying PTB and improving infant health outcomes.

Area of Science:

  • Obstetrics and Gynecology
  • Neonatal Medicine
  • Reproductive Medicine

Background:

  • Preterm birth (PTB) is a significant global challenge, contributing to infant morbidity and mortality.
  • Accurate gestational age assessment is essential for classifying PTB and guiding clinical management.
  • Existing methods for determining gestational age have limitations in precision and reliability.

Purpose of the Study:

  • To critically evaluate the evidence supporting various gestational age assessment methods.
  • To compare the accuracy of last menstrual period, early ultrasound, and post-natal assessments.
  • To explore the utility of assisted reproduction treatment (ART) populations for validating gestational age methods.

Main Methods:

  • Systematic literature review of studies assessing gestational age determination methods.
  • Comparative analysis of accuracy and reliability across different techniques.
  • Exploration of ART data for precise gestational age calculation.

Main Results:

  • Ultrasound before 20 weeks of gestation is generally more accurate than last menstrual period dating.
  • Post-natal assessments have limited accuracy for determining gestational age.
  • Assisted reproduction treatments offer a unique opportunity for highly accurate gestational age determination.

Conclusions:

  • Accurate gestational age assessment is critical for understanding and managing preterm birth.
  • Assisted reproduction treatments provide a valuable resource for validating and refining gestational age measurement techniques.
  • Further research utilizing ART populations can enhance the reliability of PTB classification and prevention strategies.

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