Snap-II predicts severe intraventricular hemorrhage and chronic lung disease in the neonatal intensive care unit.
OBJECTIVE
To determine whether the Score for Neonatal Acute Physiology, Version II (SNAP-II), improved prediction of severe (> or = 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).


METHODS
We examined 4226 infants < or = 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 (p<0.05) improved model prediction (AUC 0.8 for severe IVH; 0.83 for CLD). Models were well calibrated (p>0.05 for Hosmer-Lemeshow goodness of fit test).


CONCLUSIONS
Addition of SNAP-II to models using GA and traditional risk factors significantly improves prediction of severe IVH and CLD.
Chien
Li-Yin
LY
Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada.
Whyte
Robin
R
Thiessen
Paul
P
Walker
Robin
R
Brabyn
David
D
Lee
Shoo K
SK
D002543:Cerebral Hemorrhage / Q000175:diagnosis*; D002908:Chronic Disease; D005865:Gestational Age; D006801:Humans; D007231:Infant, Newborn; D007363:Intensive Care Units, Neonatal; D016015:Logistic Models; D008171:Lung Diseases / Q000175:diagnosis*; D015997:Neonatal Screening / Q000379:methods*; D012372:ROC Curve; D012720:Severity of Illness Index