Comparing CRIB-II and SNAPPE-II as mortality predictors for very preterm infants

Reid, S; Bajuk, B; Lui, K; Sullivan, EA

Comparing CRIB-II and SNAPPE-II as mortality predictors for very preterm infants

Reid, S Bajuk, B Lui, K Sullivan, EA

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Publication Type:: Journal Article
Citation:: Journal of Paediatrics and Child Health, 2016, 51 (5), pp. 524 - 528
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Reid, S	en_US
dc.contributor.author	Bajuk, B	en_US
dc.contributor.author	Lui, K	en_US
dc.contributor.author	Sullivan, EA https://orcid.org/0000-0002-8718-2753	en_US
dc.date.available	2014-08-19	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	Journal of Paediatrics and Child Health, 2016, 51 (5), pp. 524 - 528	en_US
dc.identifier.issn	1034-4810	en_US
dc.identifier.uri	http://hdl.handle.net/10453/123100
dc.description.abstract	© 2014 Paediatrics and Child Health Division (Royal Australasian College of Physicians). Aims This article compares the severity of illness scoring systems clinical risk index for babies (CRIB)-II and score for neonatal acute physiology with perinatal extension (SNAPPE)-II for discriminatory ability and goodness of fit in the same cohort of babies of less than 32 weeks gestation and aims to provide validation in the Australian population. Methods CRIB-II and SNAPPE-II scores were collected on the same cohort of preterm infants born within a 2-year period, 2003 and 2004. The discriminatory ability of each score was assessed by the area under the receiver operator characteristic curve, and goodness of fit was assessed by the Hosmer-Lemeshow (HL) test. The outcome measure was in-hospital mortality. A multivariate logistic regression model was tested for perinatal variables that might add to the risk of in-hospital mortality. Results Data for both scores were available for 1607 infants. Both scores had good discriminatory ability (CRIB-II area under the curve 0.913, standard error (SE) 0.014; SNAPPE-II area under the curve 0.907, SE 0.012) and adequate goodness of fit (HL χ2 = 11.384, 8 degrees of freedom, P = 0.183 for CRIB-II; HL χ2 = 4.319, 7 degrees of freedom, P = 0.742 for SNAPPE-II). The multivariate model did not reveal other significant variables. Conclusions Both severity of illness scores are ascertained during the first 12 h of life and perform similarly. Both can facilitate risk-adjusted comparisons of mortality and quality of care after the first post-natal 12 h. CRIB-II scores have the advantage of being simpler to collect and calculate.	en_US
dc.relation.ispartof	Journal of Paediatrics and Child Health	en_US
dc.relation.isbasedon	10.1111/jpc.12742	en_US
dc.subject.classification	Pediatrics	en_US
dc.title	Comparing CRIB-II and SNAPPE-II as mortality predictors for very preterm infants	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	51	en_US
utslib.for	1114 Paediatrics and Reproductive Medicine	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Public Health
utslib.copyright.status	closed_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	51	en_US

Abstract:

© 2014 Paediatrics and Child Health Division (Royal Australasian College of Physicians). Aims This article compares the severity of illness scoring systems clinical risk index for babies (CRIB)-II and score for neonatal acute physiology with perinatal extension (SNAPPE)-II for discriminatory ability and goodness of fit in the same cohort of babies of less than 32 weeks gestation and aims to provide validation in the Australian population. Methods CRIB-II and SNAPPE-II scores were collected on the same cohort of preterm infants born within a 2-year period, 2003 and 2004. The discriminatory ability of each score was assessed by the area under the receiver operator characteristic curve, and goodness of fit was assessed by the Hosmer-Lemeshow (HL) test. The outcome measure was in-hospital mortality. A multivariate logistic regression model was tested for perinatal variables that might add to the risk of in-hospital mortality. Results Data for both scores were available for 1607 infants. Both scores had good discriminatory ability (CRIB-II area under the curve 0.913, standard error (SE) 0.014; SNAPPE-II area under the curve 0.907, SE 0.012) and adequate goodness of fit (HL χ2 = 11.384, 8 degrees of freedom, P = 0.183 for CRIB-II; HL χ2 = 4.319, 7 degrees of freedom, P = 0.742 for SNAPPE-II). The multivariate model did not reveal other significant variables. Conclusions Both severity of illness scores are ascertained during the first 12 h of life and perform similarly. Both can facilitate risk-adjusted comparisons of mortality and quality of care after the first post-natal 12 h. CRIB-II scores have the advantage of being simpler to collect and calculate.

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http://hdl.handle.net/10453/123100