ArticleHealthcare (Basel, Switzerland)2023
Identification of the Best Predictive Model for Mortality in Outborn Neonates-Retrospective Cohort Study.
Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 1 citations in OpenAlex.
- Neonatal Interfacility Transport to Tertiary and Quaternary Centres: Clinical Outcomes and System-Level Determinants-A Systematic Review.Children (Basel, Switzerland) · 2026Review
- The Relationship Between TRIPS, MINT, SNAPPE-II Scores, and Mortality in Newborns Transported Within the First 24 h of Birth.Journal of clinical medicine · 2026Article
- Risk factors of mortality in outborn neonates, an experience from central India: A prospective observational study.Journal of family medicine and primary care · 2025Article
- Uterotonic Drugs in Prevention and Management in Postpartum Haemorrhage in Prehospital Deliveries-A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTransportation of sick newborns is a major predictor of outcome. Prompt identification of the sickest newborns allows adequate intervention and outcome optimization. An optimal scoring system has not yet been identified.
aimTo identify a rapid, accurate, and easy-to-perform score predictive for neonatal mortality in outborn neonates. MATERIAL AND
methodsAll neonates admitted by transfer in a level III regional neonatal unit between 1 January 2015 and 31 December 2021 were included. Infants with congenital critical abnormalities were excluded (N = 15). Gestational age (GA), birth weight (BW), Apgar score, place of birth, time between delivery and admission (AT), early onset sepsis, and sick neonatal score (SNS) were collected from medical records and tested for their association with mortality, including in subgroups (preterm vs. term infants); GA, BW, and AT were used to develop MSNS-AT score, to improve mortality prediction. The main outcome was all-cause mortality prediction. Univariable and multivariable analysis, including Cox regression, were performed, and odds ratio and hazard ratios were calculated were appropriate.
results418 infants were included; 217/403 infants were born prematurely (53.8%), and 20 died (4.96%). Compared with the survivors, the non-survivors had lower GA, BW, and SNS scores (
conclusionsThe new MSNS-AT score significantly improved mortality prediction at admission in the whole study group and in preterm infants as compared with the SNS score, suggesting that, besides GA and BW, AT may be decisive for the outcome of outborn preterm infants.
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