title: Actuarial survival of a large Canadian cohort of preterm infants.
abstract: BACKGROUND
  The increased survival of preterm and very low birth weight infants in recent years has been well documented but continued surveillance is required in order to monitor the effects of new therapeutic interventions. Gestation and birth weight specific survival rates most accurately reflect the outcome of perinatal care. Our aims were to determine survival to discharge for a large Canadian cohort of preterm infants admitted to the neonatal intensive care unit (NICU), and to examine the effect of gender on survival and the effect of increasing postnatal age on predicted survival.
  
  
  METHODS
  Outcomes for all 19,507 infants admitted to 17 NICUs throughout Canada between January 1996 and October 1997 were collected prospectively. Babies with congenital anomalies were excluded from the study population. Gestation and birth weight specific survival for all infants with birth weight < 1,500 g (n = 3419) or gestation < or = 30 weeks (n = 3119) were recorded. Actuarial survival curves were constructed to show changes in expected survival with increasing postnatal age.
  
  
  RESULTS
  Survival to discharge at 24 weeks gestation was 54%, compared to 82% at 26 weeks and 95% at 30 weeks. In infants with birth weights 600-699, survival to discharge was 62%, compared to 79% at 700-799 g and 96% at 1,000-1,099 g. In infants born at 24 weeks gestational age, survival was higher in females but there were no significant gender differences above 24 weeks gestation. Actuarial analysis showed that risk of death was highest in the first 5 days. For infants born at 24 weeks gestation, estimated survival probability to 48 hours, 7 days and 4 weeks were 88 (CI 84, 92)%, 70 (CI 64, 76)% and 60 (CI 53, 66)% respectively. For smaller birth weights, female survival probabilities were higher than males for the first 40 days of life.
  
  
  CONCLUSIONS
  Actuarial analysis provides useful information when counseling parents and highlights the importance of frequently revising the prediction for long term survival particularly after the first few days of life.
authors.affiliation: Department of Pediatrics, St Mary's Hospital, Portsmouth, UK. joneshuw@doctors.org.uk
authors.forename: Huw P
authors.initials: HP
authors.lastname: Jones
authors.forename: Stella
authors.initials: S
authors.lastname: Karuri
authors.forename: Catherine M G
authors.initials: CM
authors.lastname: Cronin
authors.forename: Arne
authors.initials: A
authors.lastname: Ohlsson
authors.forename: Abraham
authors.initials: A
authors.lastname: Peliowski
authors.forename: Anne
authors.initials: A
authors.lastname: Synnes
authors.forename: Shoo K
authors.initials: SK
authors.lastname: Lee
mesh_terms: D000206:Actuarial Analysis; D000367:Age Factors; D001724:Birth Weight; D002170:Canada / Q000453:epidemiology; D005260:Female; D005865:Gestational Age; D006801:Humans; D007226:Infant Mortality; D007231:Infant, Newborn; D007234:Infant, Premature; D019102:Infant, Very Low Birth Weight; D007363:Intensive Care Units, Neonatal; D008297:Male; D009099:Multiple Birth Offspring / Q000706:statistics & numerical data; D010351:Patient Discharge; D011446:Prospective Studies; D012737:Sex Factors; D016019:Survival Analysis