ArticleJournal of clinical medicine2022
NICU Admission for Term Neonates in a Large Single-Center Population: A Comprehensive Assessment of Risk Factors Using a Tandem Analysis Approach.
Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 17 citations in OpenAlex.
- Stuck in transition - admission to the neonatal intensive care unit after shoulder dystocia: analysis of risk factors and assessment of postnatal care.Maternal health, neonatology and perinatology · 2026Article
- Greater Increase in Hippocampal Activity During the Early Postnatal Period After Preterm Birth Is Associated With Better Cognitive and Motor Outcomes at 18 Months.Developmental neurobiology · 2026Article
- Prediction of small-for-gestational age and fetal growth restriction at routine ultrasound examination at 35-37 weeks' gestation.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2025Article
- Pregnancy and Birth Outcomes Among Middle Eastern or North African Infants and Mothers in Quebec, Canada, 2008-2020.Public health reports (Washington, D.C. : 1974) · 2025Article
- Development and Validation of Prediction Model for Neonatal Intensive Care Unit (NICU) Admission Using Machine Learning and Multivariate Statistical Approach.Journal of obstetrics and gynaecology of India · 2025Article
- Peripartum and Perinatal Outcomes in Pregnant Women with Elevated Preconceptional Body Mass Index in a Maternity Hospital (Care Level IV).Geburtshilfe und Frauenheilkunde · 2025Article
- Comparison of birth outcomes of mothers covered by Medicaid versus those privately insured when accounting for social determinants of health.Journal of perinatology : official journal of the California Perinatal Association · 2024Article
- Impact of Technology on Neonatal Intensive Care Unit Admissions and Length of Stay: A Retrospective Study.Cureus · 2023Article
- Predictors of Neonatal Intensive Care Unit Admission and Adverse Outcomes Related to Gestational Diabetes.Cureus · 2023Article
- Neonatal intensive care admission for term neonates and subsequent childhood mortality: a retrospective linkage study.BMC medicine · 2023Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Neonatal intensive care unit (NICU) admission among term neonates is associated with significant morbidity and mortality, as well as high healthcare costs. A comprehensive NICU admission risk assessment using an integrated statistical approach for this rare admission event may be used to build a risk calculation algorithm for this group of neonates prior to delivery. Methods: A single-center case−control retrospective study was conducted between August 2005 and December 2019, including in-hospital singleton live born neonates, born at ≥37 weeks’ gestation. Analyses included univariate and multivariable models combined with the machine learning gradient-boosting model (GBM). The primary aim of the study was to identify and quantify risk factors and causes of NICU admission of term neonates. Results: During the study period, 206,509 births were registered at the Shaare Zedek Medical Center. After applying the study exclusion criteria, 192,527 term neonates were included in the study; 5292 (2.75%) were admitted to the NICU. The NICU admission risk was significantly higher (ORs [95%CIs]) for offspring of nulliparous women (1.19 [1.07, 1.33]), those with diabetes mellitus or hypertensive complications of pregnancy (2.52 [2.09, 3.03] and 1.28 [1.02, 1.60] respectively), and for those born during the 37th week of gestation (2.99 [2.63, 3.41]; p < 0.001 for all), adjusted for congenital malformations and genetic syndromes. A GBM to predict NICU admission applied to data prior to delivery showed an area under the receiver operating characteristic curve of 0.750 (95%CI 0.743−0.757) and classified 27% as high risk and 73% as low risk. This risk stratification was significantly associated with adverse maternal and neonatal outcomes. Conclusion: The present study identified NICU admission risk factors for term neonates; along with the machine learning ranking of the risk factors, the highly predictive model may serve as a basis for individual risk calculation algorithm prior to delivery. We suggest that in the future, this type of planning of the delivery will serve different health systems, in both high- and low-resource environments, along with the NICU admission or transfer policy.
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