• Erik D Skarsgard, Ying C MacNab, Zhenguo Qiu, Ruth Little, Shoo K Lee, and Canadian Neonatal Network.
• Department of Surgery, Children's and Women's Health Centre of British Columbia, the University of British Columbia, Vancouver, B.C., Canada.
• J Perinatol. 2005 May 1; 25 (5): 315-9.

ObjectiveOutcomes analysis in congenital diaphragmatic hernia (CDH) requires a validated risk-adjustment tool. The purpose of this study was to use the Canadian Neonatal Network (CNN) database to validate the Score for Neonatal Acute Physiology, Version II (SNAP-II) for prediction of mortality among CDH infants admitted to a neonatal intensive care unit (NICU), and to compare this to the predictive equation recently developed by the Congenital Diaphragmatic Hernia Study Group (CDHSG).Study DesignInfants with CDH in the CNN database were identified. Bivariate and multivariable logistic regression models were used to identify risk factors predictive of mortality. Model predictive performance and calibration were assessed using the area under the receiver operator characteristic curve and the technique of Hosmer-Lemeshow, respectively, and compared with the CDHSG predictive equation.ResultsThere were 88 patients with CDH among 19,507 admissions to CNN hospitals. The mortality rate among CDH patients surviving to NICU admission was 17%, and 12.5% received extracorporeal membrane oxygenation therapy. Gestational age and admission SNAP-II score predicted mortality. Model predictive performance and calibration were optimized with these variables combined. The CDHSG equation was equally predictive of mortality, but was only marginally calibrated.ConclusionsSNAP-II is highly predictive of mortality among patients with CDH, and can be used to risk-adjust these patients.

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