Poor outcomes at discharge among extremely premature infants: a national population-based study

Amir Kugelman1, David Bader, Liat Lerner-Geva

  • 1Department ofNeonatology, Bnai Zion Medical Center, 47 Golomb St, Haifa, Israel. dramir@netvision.net.il

Insights

A simple tool estimates poor neonatal outcomes for extremely premature infants (24-26 weeks gestation) at birth. Key factors include gestational age, sex, birth weight percentile, and prenatal steroid use, aiding family counseling on treatment options.

Area of Science:

  • Neonatalogy
  • Perinatology
  • Public Health

Background:

  • Extremely premature infants (born 23-26 weeks gestation) face high risks of poor neonatal outcomes.
  • Accurate prediction of these outcomes at birth is crucial for clinical decision-making and family counseling.

Purpose of the Study:

  • To identify risk factors for poor neonatal outcomes in extremely premature infants.
  • To develop a simple estimation method for predicting these outcomes at birth.

Main Methods:

  • A population-based study using the Israel National Very Low Birth Weight Infant Database.
  • Developed a linear regression model incorporating gestational age, male sex, sex-specific birth weight percentile, and lack of prenatal steroid therapy.
  • Validated the model's estimates against observed outcomes.

Main Results:

  • Gestational age, male sex, birth weight percentile, and lack of prenatal steroids were significant predictors of poor neonatal outcomes.
  • The developed estimation tool, considering these factors, showed high correlation with observed poor outcome rates (ICC=0.93).
  • Estimated poor outcome rates for subgroups ranged from 25% to 100%.

Conclusions:

  • A simple estimation method for poor neonatal outcomes (mortality or severe morbidity) can be calculated at birth for infants born at 24-26 weeks gestation.
  • This tool can assist clinicians in providing families with accurate prognostic information and discussing treatment options.
Abstract

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