ArticlePediatric research2025
Value of portal venous gas and a nomogram for predicting severe neonatal necrotizing enterocolitis.
Article in Pediatric research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Definitions of neonatal Necrotizing Enterocolitis (NEC) in randomised controlled trials: a systematic review.Journal of perinatology : official journal of the California Perinatal Association · 2026Review
- Availability, utilization, and barriers to bowel ultrasound for necrotizing enterocolitis: a national multidisciplinary survey.Journal of perinatology : official journal of the California Perinatal Association · 2026Article
- Emerging role of artificial intelligence in necrotizing enterocolitis and implementation challenges.Pediatric research · 2026Article
- Surgical Necrotising Enterocolitis (S-NEC): Where We Stand Today: A Narrative Review.Journal of clinical medicine · 2026Review
- Predicting surgical NEC in neonates: risk factors and model development.BMC gastroenterology · 2025Article
- Development and validation of a nomogram model for predicting the occurrence of necrotizing enterocolitis in premature infants with late-onset sepsis.European journal of medical research · 2025Article
- Evaluation of radiomics as an assistant tool for radiologists in the diagnosis of necrotizing enterocolitis.Translational pediatrics · 2025Article
- Platelet-to-C-reactive protein ratio stratifies surgical risk and mortality in necrotizing enterocolitis neonates with portal venous gas.Frontiers in pediatrics · 2025Article
- Necrotising enterocolitis biomarkers: a systematic review.Frontiers in pediatrics · 2025Review
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8 authors.
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Abstract
backgroundWhether portal venous gas (PVG) is a sign of severe neonatal necrotizing enterocolitis (NEC) and predicts poor prognosis remains uncertain.
methodsPatients from two centres were randomly assigned to a training set or a validation set. A nomogram model for predicting severe NEC was developed on the basis of the independent risk factors selected by least absolute shrinkage and selection operator (LASSO) regression analysis and multivariate logistic regression analysis. The model was evaluated based on the area under the curve (AUC), calibration curve, and decision curve analysis (DCA).
resultsA total of 585 patients met the study criteria, and propensity score matching resulted in 141 matched pairs for further analysis. Patients with PVG had a greater risk of surgical intervention or death compared with patients without PVG. A prediction model for severe NEC was established based on PVG, invasive mechanical ventilation (IMV), serum platelet count (PLT) and pH <7.35 at the onset of NEC. The model had a moderate predictive value with an AUC > 0.8. The calibration curve and DCA suggested that the nomogram model had good performance for clinical application.
conclusionA prediction nomogram model based on PVG and other risk factors can help physicians identify severe NEC early and develop reasonable treatment plans. IMPACT: PVG is an important and common imaging manifestation of NEC. Controversy exists regarding whether PVG is an indication for surgical intervention and predicts poor prognosis. Our study suggested that patients with PVG had a greater risk of surgical intervention or death compared with patients without PVG. PVG, IMV, PLT and pH <7.35 at the onset of NEC are independent risk factors for severe NEC. A prediction nomogram model based on PVG and other risk factors may help physicians identify severe NEC early and develop reasonable treatment plans.
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