Ophthalmic Artery Doppler at 11-13Weeks' Gestation and Birth of Small-for-Gestational-Age Neonates

Nicoleta Gana1,2, Dragana Ianosev2, Nima Allafi2

  • 1Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania.

PubMed

Insights

First-trimester ophthalmic artery Doppler assessment, specifically the peak systolic velocity (PSV) ratio, shows promise for early detection of pregnancies at risk for small-for-gestational-age (SGA) neonates. This non-invasive method could improve perinatal outcomes.

Area of Science:

  • Obstetrics and Gynecology
  • Fetal Medicine
  • Diagnostic Ultrasound

Background:

  • Small-for-gestational-age (SGA) neonates face increased risks for adverse neonatal outcomes and long-term health issues.
  • Early detection of pregnancies at risk for SGA is crucial for improving perinatal results.
  • First-trimester ophthalmic artery Doppler assessment is emerging as a potential predictor of impaired placentation.

Purpose of the Study:

  • To investigate the association between first-trimester ophthalmic artery Doppler parameters and the subsequent birth of SGA neonates.
  • To evaluate the predictive value of ophthalmic artery Doppler indices for SGA.
  • To explore non-invasive methods for early identification of pregnancies at risk for SGA.

Main Methods:

  • Prospective observational study involving 4054 pregnant women at 11-13 weeks gestation.
  • Ophthalmic artery Doppler evaluation including pulsatility index (PI) and peak systolic velocity (PSV) ratio.
  • Statistical analysis using comparative methods and ROC curves to assess predictive value for SGA.

Main Results:

  • An increased PSV ratio in the first trimester was significantly correlated with a higher risk of SGA.
  • Ophthalmic artery PI did not show significant discriminatory power between SGA and non-SGA pregnancies.
  • The PSV ratio demonstrated potential as a predictor for SGA.

Conclusions:

  • First-trimester ophthalmic artery Doppler assessment, particularly the PSV ratio, shows potential for early, non-invasive identification of pregnancies at risk for SGA.
  • This technique may aid in improving perinatal outcomes by enabling timely interventions.
  • Further large-scale, multicenter validation is required to standardize its clinical application for SGA prediction.