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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
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Evaluation of a Clinical Risk Score for Preterm Necrotising Enterocolitis: The 'Check-NEC Score'.

Tiara Davis1, Chandra Rath2,3, Gayatri Athalye-Jape2,3

  • 1School of Biomedical Sciences, University of Western Australia, Crawley, Western Australia, Australia.

Journal of Paediatrics and Child Health
|March 17, 2026
PubMed
Summary

The Check-NEC Score (CNS) shows promise for predicting necrotising enterocolitis (NEC) in preterm infants. Early prediction using CNS at 72 hours offers acceptable accuracy and high specificity for NEC diagnosis.

Keywords:
necrotising enterocolitispretermrisk score

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Area of Science:

  • Neonatalogy
  • Pediatric Gastroenterology
  • Clinical Risk Prediction

Background:

  • Necrotising enterocolitis (NEC) poses a significant burden on preterm infants, necessitating early detection.
  • Validating clinical risk scores is crucial for improving outcomes in very preterm infants.

Purpose of the Study:

  • To validate the Check-NEC Score (CNS) for the early prediction of NEC in preterm infants.
  • To assess the predictive performance of CNS at different time points before NEC diagnosis.

Main Methods:

  • A case-control study involving very preterm infants (gestation < 32 weeks) with confirmed NEC (≥Stage II).
  • CNS was calculated at baseline, 7 days (T2), and 72 hours (T3) prior to NEC diagnosis.
  • Receiver operating characteristic (ROC) analysis was used to evaluate sensitivity, specificity, and area under the curve (AUC).

Main Results:

  • The median CNS was significantly higher in NEC cases compared to controls at T2 (p=0.025) and T3 (p=0.005).
  • The T3 CNS achieved the highest AUC (0.64), indicating acceptable predictive ability.
  • A CNS cut-off of ≥11 at T2 offered high specificity (95%), while scores of ≥8 or ≥9 at T3 were optimal.

Conclusions:

  • The CNS demonstrates acceptable predictive performance for NEC in preterm infants, particularly at 72 hours prior to diagnosis.
  • The score offers high specificity, aiding in early identification and management of NEC.
  • The choice of cut-off score influences the balance between sensitivity and specificity for NEC prediction.