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Archives of Disease in Childhood - Fetal and Neonatal Edition 2004;89:F419-F422; doi:10.1136/adc.2003.031286
Copyright © 2004 BMJ Publishing Group Ltd & Royal College of Paediatrics and Child Health.
Archives of Disease in Childhood Fetal and Neonatal Edition 2004;89:F419-F422
© 2004 Archives of Disease in Childhood Fetal and Neonatal Edition

ORIGINAL ARTICLE

Assessing mortality risk in very low birthweight infants: a comparison of CRIB, CRIB-II, and SNAPPE-II

L Gagliardi, A Cavazza, A Brunelli, M Battaglioli, D Merazzi, F Tandoi, D Cella, G F Perotti, M Pelti, I Stucchi, F Frisone, A Avanzini and R Bellù and the NNL study group

Neonatal Intensive Care Units of the following hospitals: Mangiagalli (Milan), Spedali Civili (Brescia), Niguarda (Milan), V Buzzi (Milan), S Anna (Como), Varese, S Raffaele (Milan), S Matteo (Pavia), Salvini (Rho), Valduce (Como), Fornaroli (Magenta), A Manzoni (Lecco)

Correspondence to:
Correspondence to:
Dr Gagliardi
Division of Neonatology and Paediatrics, Ospedale della Versilia, Via Aurelia 335, I-55043 Lido di Camaiore, Lucca, Italy; l.gagliardi{at}neonatalnet.org

Background: Illness severity scores are increasingly used for risk adjustment in clinical research and quality assessment. Recently, a simplified version of the score for neonatal acute physiology (SNAPPE-II) and a revised clinical risk index for babies (CRIB-II) score have been published.

Aim: To compare the discriminatory ability and goodness of fit of CRIB, CRIB-II, and SNAPPE-II in a cohort of neonates < 1500 g birth weight (VLBWI).

Methods: Data from 720 VLBWI, admitted to 12 neonatal units in Lombardy (Northern Italy) participating in a regional network, were analysed. The discriminatory ability of the scores was assessed measuring the area under the receiver operating characteristic curve (AUC). Outcome measure was in-hospital death.

Results: CRIB and CRIB-II showed greater discrimination than SNAPPE-II (AUC 0.90 and 0.91 v 0.84, p < 0.0004), partly because of the poor quality of some of the data required for the SNAPPE-II calculation—for example, urine output—but also because of the relative weight given to some items. In addition to each score, several variables significantly influenced survival in logistic regression models. Antenatal steroid prophylaxis, singleton birth, absence of congenital anomalies, and gestational age were independent predictors of survival for all scores, in addition to caesarean section and not being small for gestation (for SNAPPE-II) and a five minute Apgar score of >= 7 (for SNAPPE-II and CRIB).

Conclusions: CRIB and CRIB-II had greater discriminatory ability than SNAPPE-II. Risk adjustment using all scores is imperfect, and other perinatal factors significantly influence VLBWI survival. CRIB-II seems to be less confounded by these factors.

Abbreviations: AUC, area under the curve; BW, birth weight; CRIB, clinical risk index for babies; GA, gestational age; HL, Hosmer-Lemeshow; NICU, neonatal intensive care unit; SGA, small for gestational age; SNAPPE, score for neonatal acute physiology—perinatal extension; VLBWI, very low birthweight infants

Keywords: clinical risk index for babies (CRIB); illness severity scores; mortality; risk adjustment


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  • Gagliardi, L., Bellu, R. (2007). Score for Neonatal Acute Physiology (SNAP) or Vermont Oxford Risk-Adjustment Model for Very Low Birth Weight Infants?. Pediatrics 119: 1246-1247 [Full Text]  

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