[Morbidity and mortality in newborns at the limit of viability in Spain: a population-based study]

F García-Muñoz Rodrigo1, A García-Alix Pérez2, J A García Hernández3

  • 1Servicio de Neonatología, Complejo Hospitalario Universitario Insular Materno-Infantil de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, España.

Insights

Survival rates for extremely premature infants (gestational age ≤ 26 weeks) in Spain are low, especially for those born before 23 weeks. Infants born at 25 weeks or later have better survival and morbidity outcomes, warranting intensive care.

Area of Science:

  • Neonatology
  • Perinatal Medicine
  • Public Health

Context:

  • Perinatal care for extremely premature newborns (gestational age ≤ 26 weeks) presents significant clinical and ethical challenges.
  • High-quality survival data is crucial for informed decision-making by healthcare professionals and families.
  • This study addresses the need for specific survival and morbidity rates in this vulnerable population within Spain.

Purpose:

  • To determine gestational age-specific survival rates at hospital discharge for newborns ≤ 26 weeks gestation.
  • To assess survival rates without major morbidities in extremely premature infants.
  • To provide evidence-based data for guiding resuscitation and intensive care decisions in Spain.

Summary:

  • A total of 3,236 infants ≤ 26 weeks gestation were analyzed from the SEN1500 network (2004-2010).
  • Survival rates at 22, 23, 24, 25, and 26 weeks gestation were 12.5%, 13.1%, 36.9%, 55.7%, and 71.9%, respectively.
  • Survival without major morbidity (e.g., severe intracranial hemorrhage, bronchopulmonary dysplasia) was 1.5% at 23 weeks, increasing to 29.9% at 26 weeks.

Impact:

  • Survival without major morbidity is exceptional before 23 weeks gestation and scarce at 23-24 weeks.
  • Infants ≥ 25 weeks gestation have reasonable survival chances and should be considered for active resuscitation and intensive care.
  • Continuous monitoring and comparison of center-specific results with population-based data are vital for improving care.
Abstract

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