title: A new score for predicting neonatal very low birth weight mortality risk in the NEOCOSUR South American Network.
abstract: OBJECTIVE
  To develop and validate a model for very low birth weight (VLBW) neonatal mortality prediction, based on commonly available data at birth, in 16 neonatal intensive care units (NICUs) from five South American countries.
  
  
  METHODS
  Prospectively collected biodemographic data from the Neonatal del Cono Sur (NEOCOSUR) Network between October 2000 and May 2003 in infants with birth weight 500 to 1500 g were employed. A testing sample and crossvalidation techniques were used to validate a statistical model for risk of in-hospital mortality. The new risk score was compared with two existing scores by using area under the receiver operating characteristic curve (AUC).
  
  
  RESULTS
  The new NEOCOSUR score was highly predictive for in-hospital mortality (AUC=0.85) and performed better than the Clinical Risk Index for Babies (CRIB) and the NICHD risk models when used in the NEOCOSUR Network. The new score is also well calibrated - it had good predictive capability for in-hospital mortality at all levels of risk (HL test=11.9, p=0.85). The new score also performed well when used to predict in hospital neurological and respiratory complications.
  
  
  CONCLUSIONS
  A new and relatively simple VLBW mortality risk score had a good prediction performance in a South American network population. This is an important tool for comparison purposes among NICUs. This score may prove to be a better model for application in developing countries.
authors.affiliation: Departamento de Salud Publica Universidad Catolica, Santiago, Chile.
authors.forename: Guillermo
authors.initials: G
authors.lastname: Marshall
authors.forename: Jose L
authors.initials: JL
authors.lastname: Tapia
authors.forename: Ivonne
authors.initials: I
authors.lastname: D'Apremont
authors.forename: Carlos
authors.initials: C
authors.lastname: Grandi
authors.forename: Claudia
authors.initials: C
authors.lastname: Barros
authors.forename: Angelica
authors.initials: A
authors.lastname: Alegria
authors.forename: Jane
authors.initials: J
authors.lastname: Standen
authors.forename: Ruben
authors.initials: R
authors.lastname: Panizza
authors.forename: Liliana
authors.initials: L
authors.lastname: Roldan
authors.forename: Gabriel
authors.initials: G
authors.lastname: Musante
authors.forename: Aldo
authors.initials: A
authors.lastname: Bancalari
authors.forename: Enrique
authors.initials: E
authors.lastname: Bambaren
authors.forename: Jose
authors.initials: J
authors.lastname: Lacarruba
authors.forename: Maria E
authors.initials: ME
authors.lastname: Hubner
authors.forename: Jorge
authors.initials: J
authors.lastname: Fabres
authors.forename: Marcelo
authors.initials: M
authors.lastname: Decaro
authors.forename: Gonzalo
authors.initials: G
authors.lastname: Mariani
authors.forename: Isabel
authors.initials: I
authors.lastname: Kurlat
authors.forename: Agustina
authors.initials: A
authors.lastname: Gonzalez
mesh_terms: D005260:Female; D006801:Humans; D007226:Infant Mortality; D007231:Infant, Newborn; D019102:Infant, Very Low Birth Weight; D007297:Inpatients; D008297:Male; D011446:Prospective Studies; D013020:South America / Q000453:epidemiology