Evidence map›Paper›PMID 41839774›Full record

ArticleJournal of paediatrics and child health2026

Evaluation of a Clinical Risk Score for Preterm Necrotising Enterocolitis: The 'Check-NEC Score'.

Tiara Davis, Chandra Rath, Gayatri Athalye-Jape, Elizabeth Nathan, Jeffrey Keelan, Sanjay Patole

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Article in Journal of paediatrics and child health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tiara DavisSchool of Biomedical Sciences, University of Western Australia, Crawley, Western Australia, Australia.
Chandra RathDepartment of Neonatology, Child and Adolescent Health Service, King Edward Memorial Hospital, Perth, Western Australia, Australia.
Gayatri Athalye-JapeDepartment of Neonatology, Child and Adolescent Health Service, King Edward Memorial Hospital, Perth, Western Australia, Australia.ORCID https://orcid.org/0000-0003-4732-6043
Elizabeth NathanDepartment of Biostatistics, University of Western Australia, Crawley, Western Australia, Australia.
Jeffrey KeelanSchool of Biomedical Sciences, University of Western Australia, Crawley, Western Australia, Australia.
Sanjay PatoleDepartment of Neonatology, Child and Adolescent Health Service, King Edward Memorial Hospital, Perth, Western Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimEarly prediction of necrotising enterocolitis (NEC) in preterm infants is important given its significant health, economic and social-emotional burden. We aimed to validate a clinical risk score (Check-NEC Score [CNS]) for this purpose in preterm infants.

methodsA case-control study was conducted using data (January 2020-December 2023) from very preterm infants (VP: gestation < 32 weeks) with confirmed NEC≥Stage II. CNS was calculated for cases and controls (matched for key confounders) at baseline (T1), 7 days (T2), and 72 h (T3) before NEC diagnosis. Receiver operating characteristic (ROC) analysis was used to determine the sensitivity, specificity, and area under the curve (AUC).

resultsTwenty-two cases of NEC≥Stage II diagnosed at a median (IQR) age of 17 (11-24) days were matched with 22 controls. Median CNS was significantly higher in cases compared to controls at T2 (8 vs. 7, p = 0.025) and T3 (8 vs. 7, p = 0.005). T3 CNS had the highest AUC (0.64, 95% CI 0.48-0.81). A cut-off score of ≥ 11 at T2 had the highest specificity (95%, 95% CI 75%-99%). At T3, a cut-off score of either ≥ 8 or ≥ 9 was best.

conclusionCNS demonstrated acceptable predictive ability at 72 h with high specificity 7 days before NEC diagnosis, depending on the cut-off score chosen.

Indexed as

Enterocolitis, NecrotizingInfant, Premature, DiseasesCase-Control StudiesFemaleHumansInfant, NewbornInfant, PrematureMalePredictive Value of TestsRisk AssessmentRisk FactorsROC CurveSensitivity and SpecificitySeverity of Illness Indexnecrotising enterocolitispretermrisk score

Identifiers

PMID41839774
PMCPMC13254040

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.