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Author Notes:

Darshna Bhatt, MHA, DO, Neonatology-PerinatologyFellow, Emory University, Pediatrics, 2015 Uppergate Drive, Atlanta, GA 30322, United States, 7044512128, Mobile: 7044512128, FAX: 404-727-8997, dbhatt@email.emory.edu; darshnabhatt@gmail.com.

The other authors declare no conflicts of interest.


Research Funding:

R.M.P receives support from NIH K23 HL128942. M.V.R. is supported by the Emory University Department of Surgery and the Emory Children’s Pediatric Research Alliance.


  • Science & Technology
  • Life Sciences & Biomedicine
  • Pediatrics
  • CARE

Predicting Mortality or Intestinal Failure in Infants with Surgical Necrotizing Enterocolitis


Journal Title:

Journal of Pediatrics


Volume 191


, Pages 22-+

Type of Work:

Article | Post-print: After Peer Review


Objective To compare existing outcome prediction models and create a novel model to predict death or intestinal failure (IF) in infants with surgical necrotizing enterocolitis (NEC). Study design A retrospective, observational cohort study conducted in a 2-campus health system in Atlanta, Georgia, from September 2009 to May 2015. Participants included all infants ≤37 weeks of gestation with surgical NEC. Logistic regression was used to model the probability of death or IF, as a composite outcome, using preoperative variables defined by specifications from 3 existing prediction models: American College of Surgeons National Surgical Quality Improvement Program Pediatric, Score for Neonatal Acute Physiology Perinatal Extension, and Vermont Oxford Risk Adjustment Tool. A novel preoperative hybrid prediction model was also derived and validated against a patient cohort from a separate campus. Results Among 147 patients with surgical NEC, discrimination in predicting death or IF was greatest with American College of Surgeons National Surgical Quality Improvement Program Pediatric (area under the receiver operating characteristic curve [AUC], 0.84; 95% CI, 0.77-0.91) when compared with the Score for Neonatal Acute Physiology Perinatal Extension II (AUC, 0.60; 95% CI, 0.48-0.72) and Vermont Oxford Risk Adjustment Tool (AUC, 0.74; 95% CI, 0.65-0.83). A hybrid model was developed using 4 preoperative variables: the 1-minute Apgar score, inotrope use, mean blood pressure, and sepsis. The hybrid model AUC was 0.85 (95% CI, 0.78-0.92) in the derivation cohort and 0.77 (95% CI, 0.66-0.86) in the validation cohort. Conclusions Preoperative prediction of death or IF among infants with surgical NEC is possible using existing prediction tools and, to a greater extent, using a newly proposed 4-variable hybrid model.

Copyright information:

© 2017 Elsevier Inc.

This is an Open Access work distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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