SNAP-II Predicts Severe Intraventricular Hemorrhage and Chronic Lung Disease in the Neonatal Intensive Care Unit

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Abstract
OBJECTIVE: To determine whether the Score for Neonatal Acute Physiology, Version II (SNAP-II), improved prediction of severe (≥grade III) intraventricular hemorrhage (IVH) and chronic lung disease (CLD) when compared to models using gestational age (GA) and traditional risk factors (e.g., Apgar score, small-for-gestational-age, sex, outborn status). STUDY DESIGN: We examined 4226 infants ≤32 weeks' GA admitted to 17 Canadian neonatal intensive care units between 1996 and 1997. We compared prediction models for severe IVH and CLD, with and without SNAP-II. RESULTS: SNAP-II was a significant and independent predictor of severe IVH and CLD. Addition of SNAP-II to models using GA and traditional risk variables significantly (p0.05 for Hosmer-Lemeshow goodness of fit test). CONCLUSION: Addition of SNAP-II to models using GA and traditional risk factors significantly improves prediction of severe IVH and CLD.