Preterm infant outcomes in New South Wales and the Australian Capital Territory

J Paediatr Child Health. 2015 Jul;51(7):713-21. doi: 10.1111/jpc.12848. Epub 2015 Feb 3.

Abstract

Aim: This study aimed to provide updated information on gestation-specific hospital outcomes of extreme to very preterm infants admitted to neonatal intensive care units.

Methods: A population-based retrospective cohort study of infants born between 23(+0) and 31(+6) weeks gestation and admitted to a network of neonatal intensive care units between 2007 and 2011 in a well-defined geographic area of New South Wales and the Australian Capital Territory. Main outcome measures were survival and major morbidities prior to hospital discharge.

Results: Of 4454 infants included, hospital survival rates based on gestational age alone were 27%, 59%, 76%, 85%, 91% and over 95% at 23, 24, 25, 26, 27 and 28-31 weeks, respectively. Survival rates for each week up to 29 weeks gestation differed by at least 5% when perinatal risk factors including birthweight percentile, exposure to antenatal steroids, birth outside a tertiary hospital and gender were included in the survival estimation. All the major outcome figures were then simplified and displayed in a simple, easy-to-understand preterm outcome table for counselling purposes.

Conclusion: We report the latest hospital outcomes of extreme to very preterm infants in New South Wales and the Australian Capital Territory. Survival rates based on gestational age alone may not provide the true estimate as the survival for these infants can vary based on the presence or absence of other relevant perinatal factors.

Keywords: counselling; hospital survival; infant; outcome; preterm.

MeSH terms

  • Australian Capital Territory / epidemiology
  • Female
  • Gestational Age
  • Hospital Mortality
  • Humans
  • Infant
  • Infant Mortality*
  • Infant, Newborn
  • Infant, Premature
  • Infant, Premature, Diseases / epidemiology*
  • Infant, Premature, Diseases / etiology
  • Intensive Care Units, Neonatal
  • Logistic Models
  • Male
  • New South Wales / epidemiology
  • Retrospective Studies
  • Risk Factors
  • Survival Rate