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Detection of small-for-gestational-age infants with poor perinatal outcomes using individualized growth assessment

T Hata1, A Kuno, M Akiyama

  • 1Department of Perinatology, Kagawa Medical University, Kagawa, Japan.

Insights

Individualized growth assessment using the Rossavik model effectively identifies small-for-gestational-age (SGA) infants at risk for poor perinatal outcomes. This method aids in detecting intrauterine growth restriction and associated complications.

Area of Science:

  • Perinatal Medicine
  • Fetal Development
  • Neonatal Outcomes

Background:

  • Small-for-gestational-age (SGA) infants are at increased risk for adverse perinatal outcomes.
  • Accurate detection of SGA infants with poor prognoses is crucial for timely intervention.
  • Current methods for assessing fetal growth may not fully capture individualized risks.

Purpose of the Study:

  • To evaluate the efficacy of the Rossavik growth model for individualized growth assessment.
  • To determine if this model can effectively detect SGA infants with poor perinatal outcomes.
  • To compare perinatal outcomes between SGA infants classified as normally grown versus growth-restricted by the model.

Main Methods:

  • Utilized Rossavik growth models based on second-trimester ultrasound measurements to predict birth characteristics in 47 singleton SGA infants.
  • Established individual fetal growth standards for head and abdominal circumference, and weight using two scans before 25 weeks' gestation.
  • Calculated the Growth Potential Realization Index (GPRI) and Neonatal Growth Assessment Score (NGAS) to compare actual and predicted birth characteristics.

Main Results:

  • The Neonatal Growth Assessment Score (NGAS) classified 27 fetuses as normally grown and 20 as growth-restricted.
  • Growth-restricted neonates, identified by NGAS, showed significantly higher rates of mechanical deliveries, abnormal fetal heart rate (FHR) patterns, and meconium staining.
  • No significant differences were observed in low Apgar score, neonatal acidosis, NICU admission, or maternal complications between the groups.

Conclusions:

  • Individualized growth assessment using the Rossavik model is a valuable tool for identifying SGA infants at risk of poor perinatal outcomes.
  • The NGAS classification effectively differentiates growth-restricted SGA infants who experience specific adverse events.
  • This approach can aid clinicians in better risk stratification and management of SGA pregnancies.
Abstract

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