Late preterm infants - impact of perinatal factors on neonatal results. A clinical study

Grzegorz Jakiel1, Maria Wilińska2, Małgorzata Bińkowska1

  • 1I Department of Obstetrics and Gynecology, Medical Centre of Postgraduate Education, Warsaw, Poland.

Insights

Late preterm infants (34-36 weeks) face significant health risks like respiratory failure and sepsis. Delivery method and antenatal care impact infant outcomes, highlighting the need for careful management.

Area of Science:

  • Neonatal Medicine
  • Perinatology
  • Public Health

Background:

  • Late preterm infants (34-36 weeks gestation) constitute 75% of preterm births.
  • Despite appearing minimally immature, these infants are susceptible to serious health complications.

Purpose of the Study:

  • To analyze perinatal factors influencing respiratory failure, metabolic issues, and early-onset sepsis (EOS) in late preterm infants.
  • To identify risk factors associated with adverse outcomes in this population.

Main Methods:

  • Retrospective analysis of maternal and infant data for late preterm births (34+0 - 36+6 weeks) at a tertiary academic center (2010-2011).
  • Inclusion of pregnancy course, delivery type, interventions, and infant clinical status.
  • Data collection by trained personnel with independent reliability monitoring.

Main Results:

  • Confirmed significant links between infant immaturity, poor Apgar scores, and sepsis.
  • Sepsis was more frequent with vaginal delivery and often co-occurred with respiratory distress syndrome (RDS).
  • Maternal conditions, antibiotic prophylaxis, and delivery complications did not affect infection rates; perinatal asphyxia correlated with Cesarean section and RDS.

Conclusions:

  • Establishing the delivery mode for late preterm infants is crucial for preventing neonatal infections.
  • Improved intrauterine hypoxia diagnosis could decrease Cesarean section rates.
  • Antenatal steroid therapy reduces the risk of RDS in late preterm infants, emphasizing the need for individualized delivery decisions based on maternal health.
Abstract

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