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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 ¼ 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 F it had good predictive capability for in-hospital mortality at all levels of risk (HL test ¼ 11.9, p ¼ 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.

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