ArticleNeonatology2022
Development and Validation of a Mortality Prediction Model in Extremely Low Gestational Age Neonates.
Article in Neonatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- The intelligent neonatal healthcare: a systematic review of machine learning architectures integrating the internet of medical things and blockchain.Frontiers in artificial intelligence · 2026Pooled it
- NewbornGenes · 2025Pooled it
- Neonatal death prediction scores: a systematic review and meta-analysis.BMJ paediatrics open · 2024Pooled it
- Analyzing the Centers for Disease Control and Prevention Mortality Data Using Weekly Exceedance in Mortality Count and Weekly Change in Mortality Indicator: A Time Series Study.Health science reports · 2025Article
- Predicting death and survival without major morbidity for extremely preterm infants using information on hospital admission: a multicenter cohort study.Translational pediatrics · 2025Article
- Article
- A decision tree analysis to predict massive pulmonary hemorrhage in extremely low birth weight infants: a nationwide large cohort database.Frontiers in pediatrics · 2025Article
- [Clinical characteristics ofZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024Article
- The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review.NPJ digital medicine · 2023Review
- A nomogram for predicting death for infants born at a gestational age of <28 weeks: a population-based analysis in 18 neonatal intensive care units in northern China.Translational pediatrics · 2023Article
- [Risk factors and prognosis of hypotension within 72 hours after birth in extremely preterm infants].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023Article
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Authors and funding
11 authors at 6 institutions in 3 countries.
Funding
Abstract
introductionUnderstanding factors that associate with neonatal death may lead to strategies or interventions that can aid clinicians and inform families.
objectiveThe aim of the study was to develop an early prediction model of neonatal death in extremely low gestational age (ELGA, <28 weeks) neonates.
methodsA predictive cohort study of ELGA neonates was derived from the Swedish Neonatal Quality Register between the years 2011 to May 2021. The goal was to use readily available clinical variables, collected within the first hour of birth, to predict in-hospital death. Data were split into a train cohort (80%) to build the model and tested in 20% of randomly selected neonates. Model performance was assessed via area under the receiver operating characteristic curve (AUC) and compared to validated mortality prediction models and an external cohort of neonates.
resultsAmong 3,752 live-born extremely preterm infants (46% girls), in-hospital mortality was 18% (n = 685). The median gestational age and birth weight were 25.0 weeks (interquartile range [IQR] 24.0, 27.0) and 780 g (IQR 620, 940), respectively. The proposed model consisted of three variables: birth weight (grams), Apgar score at 5 min of age, and gestational age (weeks). The BAG model had an AUC of 76.9% with a 95% confidence interval (CI) (72.6%, 81.3%), while birth weight and gestational age had an AUC of 73.1% (95% CI: 68.4%,77.9%) and 71.3% (66.3%, 76.2%). In the validation cohort, the BAG model had an AUC of 68.9%.
conclusionThe BAG model is a new mortality prediction model in ELGA neonates that was developed using readily available information.
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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 OpenQuestion graph.