Can increased resistance to uterine artery flow be a risk factor for adverse neurodevelopmental outcomes in

M M Okido1, H Bettiol2, M A Barbieri2

  • 1Department of Obstetrics and Gynaecology, University of São Paulo, Ribeirão Preto, Brazil.

Insights

Increased uterine artery pulsatility index (UtA-PI) in pregnancy does not predict adverse neurodevelopmental outcomes in children. This study found no significant differences in child development based on UtA-PI levels, suggesting other factors are more influential.

Area of Science:

  • Obstetrics and Gynecology
  • Pediatric Neurology
  • Fetal Medicine

Background:

  • Early detection of neurodevelopmental deficiencies is crucial for timely intervention.
  • Adverse pregnancy outcomes like preeclampsia and fetal growth restriction are linked to increased uterine artery resistance.
  • Previous research has not evaluated the association between uterine artery blood flow and childhood neurodevelopmental outcomes.

Purpose of the Study:

  • To investigate if an elevated uterine artery pulsatility index (UtA-PI) in the second trimester of pregnancy is a risk factor for neurodevelopmental outcomes in children aged 2-3 years.

Main Methods:

  • A prospective cohort study included pregnant women with UtA-PI below the 90th percentile (P90) and those with UtA-PI ≥ P90.
  • Children were assessed using the Bayley III Screening Test at 2-3 years of age.
  • Statistical analysis compared neurodevelopmental outcomes between the two groups, adjusting for confounding variables.

Main Results:

  • The study included 858 pregnancies with UtA-PI < P90 and 96 with UtA-PI ≥ P90.
  • Group differences were noted for Caucasian ethnicity, hypertension, newborn weight, and NICU stay.
  • Adjusted neurodevelopmental outcomes did not significantly differ between groups (OR 0.53; 95% CI 0.27-1.04%).

Conclusions:

  • Elevated uterine artery pulsatility index in the second trimester is not a demonstrated risk factor for adverse neurodevelopmental outcomes in children.
  • Child neurodevelopment is multifactorial, influenced by both environmental and intrinsic factors, and cannot be solely predicted by uterine artery blood flow.
  • Further research with larger cohorts and combined predictive algorithms is recommended for early identification of at-risk children.