Could clinical scores guide the surgical treatment of necrotizing enterocolitis?

Pediatr Surg Int. 2012 Mar;28(3):271-6. doi: 10.1007/s00383-011-3016-z. Epub 2011 Oct 15.

Abstract

Purpose: Test the diagnostic reliability of the score for neonatal acute physiology-perinatal extension-II (SNAPPE-II) and the metabolic derangement acuity score (MDAS) as predictors of surgery in patients with necrotizing enterocolitis (NEC).

Methods: The SNAPPE-II and the MDAS were applied to 99 patients with NEC. Both the scores were calculated at the moment of diagnosis (T(0)) and when surgical assessment was required (T(1)). The main outcome was the need of surgical revision. Comparison between models was made through their receiver operator characteristics (ROC) curves.

Results: Thirty-five patients required surgical treatment (group A) and 64 responded to medical therapy (group B). Median SNAPPE-II was 22 versus 5 for group A (U test 621, p = 0.002) at T(0); and 22 versus 10 for group A (U test 487, p = 0.01) at T(1). Measuring the value of the SNAPPE-II as a predictor of surgery, the ROC curve was 0.69 (CI 95%, 0.57-0.80) at T(0) and 0.67 (CI 95%, 0.55-0.80) at T(1). Median MDAS were 2 for both groups A and B at T(0) (U test 890.5, p = 0.113) and 2 versus 1.5 for group A at T(1) (U test 570, p = 0.043). The ROC curve for MDAS was 0.59 (CI 95%, 0.47-0.71) at T(0) and 0.64 (CI 95%, 0.52-0.77) at T(1).

Conclusions: The diagnostic performance of the SNAPPE-II offers mild results in the moment of the diagnosis of NEC, and at T(1). The MDAS is non significant at T(0) and obtains moderate results at T(1). These results do not encourage using the SNAPPE-II and the MDAS as definite tools to decide for surgical treatment of the patients affected by NEC.

Publication types

  • Comparative Study

MeSH terms

  • Diagnostic Imaging*
  • Enterocolitis, Necrotizing / diagnosis*
  • Enterocolitis, Necrotizing / surgery
  • Humans
  • Infant, Newborn
  • Intensive Care Units, Neonatal
  • Laparotomy / methods
  • Laparotomy / standards*
  • Probability
  • Prognosis
  • ROC Curve
  • Reproducibility of Results
  • Retrospective Studies
  • Severity of Illness Index*
  • Treatment Outcome