A novel scoring system to predict the development of necrotizing enterocolitis totalis in premature infants

J Pediatr Surg. 2014 Jul;49(7):1053-6. doi: 10.1016/j.jpedsurg.2013.10.023. Epub 2013 Nov 7.

Abstract

Background/purpose: Necrotizing enterocolitis totalis (NEC-totalis) is the severest form of NEC, with mortality rate of almost 100% even in the busiest neonatal centers. Despite such a prognosis, its risk factors remain elusive. We seek to identify clinical and laboratory parameters that differentiate NEC-totalis from NEC, and to use these factors to develop a scoring system to identify patients at risk for NEC-totalis upon presentation.

Method: NEC patients were identified from our electronic medical record using ICD9 code. Diagnosis of NEC-totalis was based on operative and autopsy reports. Patients were divided into 2 groups: NEC-but-no-totalis and NEC-totalis. Clinical/laboratory data were obtained for each group. T-test, multivariate logistic regression and backward stepwise regression analysis were performed to identify risk factors for NEC-totalis and these risk factors were formulated into a "Totalis Score."

Result: Among 157 NEC patients, 13 had NEC-totalis. NEC-totalis patients, compared to NEC alone, had fewer platelets, older age at diagnosis of NEC and greater phosphorus and creatinine levels. A 0-5 point scale "Totalis Score" based on these risk factors had sensitivity of 92% and a specificity of 78% for the diagnosis of NEC-totalis.

Conclusion: Low platelet, high phosphorus, high creatinine and older age at diagnosis of NEC were associated with a greater risk of developing NEC-totalis.

Keywords: Bacteremia; Intestinal necrosis; Intestinal sepsis; NEC totalis; Necrotizing enterocolitis; Prematurity; Scoring systems.

MeSH terms

  • Age Factors
  • Biomarkers / blood
  • Creatinine / blood
  • Enterocolitis, Necrotizing / blood
  • Enterocolitis, Necrotizing / diagnosis*
  • Female
  • Humans
  • Infant, Premature
  • Infant, Premature, Diseases / blood
  • Infant, Premature, Diseases / diagnosis*
  • Male
  • Phosphorus / blood
  • Platelet Count
  • Regression Analysis
  • Risk Factors
  • Severity of Illness Index*

Substances

  • Biomarkers
  • Phosphorus
  • Creatinine