Observational studyPediatric research2016
Predicting 2-y outcome in preterm infants using early multimodal physiological monitoring.
Observational study in Pediatric research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Postnatal Steroids in Preterm Infants: A Narrative Review Series-Part 3: Impacts on Growth, Neurodevelopment & Nutrition.Children (Basel, Switzerland) · 2026Review
- External Validation of a Model for Predicting Outcomes in Preterm Newborns.JAMA network open · 2025Article
- Using heart rate variability to predict neurological outcomes in preterm infants: a scoping review.Pediatric research · 2025Article
- Exploring Computational Techniques in Preprocessing Neonatal Physiological Signals for Detecting Adverse Outcomes: Scoping Review.Interactive journal of medical research · 2024Article
- Neuromonitoring in neonatal critical care part II: extremely premature infants and critically ill neonates.Pediatric research · 2023Review
- Predicting the Neurodevelopmental Outcome in Extremely Preterm Newborns Using a Multimodal Prognostic Model Including Brain Function Information.JAMA network open · 2023Article
- Examining time-frequency mechanisms of full-fledged deep sleep development in newborns of different gestational age in the first days of their postnatal development.Scientific reports · 2022Article
- Neonatal heart rate variability: a contemporary scoping review of analysis methods and clinical applications.BMJ open · 2021Article
- Can EEG accurately predict 2-year neurodevelopmental outcome for preterm infants?Archives of disease in childhood. Fetal and neonatal edition · 2021Observational
- Temporal evolution of quantitative EEG within 3 days of birth in early preterm infants.Scientific reports · 2019Article
- Lost in Transition: A Systematic Review of Neonatal Electroencephalography in the Delivery Room-Are We Forgetting an Important Biomarker for Newborn Brain Health?Frontiers in pediatrics · 2017Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPreterm infants are at risk of adverse outcome. The aim of this study is to develop a multimodal model, including physiological signals from the first days of life, to predict 2-y outcome in preterm infants.
methodsInfants <32 wk gestation had simultaneous multi-channel electroencephalography (EEG), peripheral oxygen saturation (SpO2), and heart rate (HR) monitoring. EEG grades were combined with gestational age (GA) and quantitative features of HR and SpO2 in a logistic regression model to predict outcome. Bayley Scales of Infant Development-III assessed 2-y neurodevelopmental outcome. A clinical course score, grading infants at discharge as high or low morbidity risk, was used to compare performance with the model.
resultsForty-three infants were included: 27 had good outcomes, 16 had poor outcomes or died. While performance of the model was similar to the clinical course score graded at discharge, with an area under the receiver operator characteristic (AUC) of 0.83 (95% confidence intervals (CI): 0.69-0.95) vs. 0.79 (0.66-0.90) (P = 0.633), the model was able to predict 2-y outcome days after birth.
conclusionQuantitative analysis of physiological signals, combined with GA and graded EEG, shows potential for predicting mortality or delayed neurodevelopment at 2 y of age.
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Registered trials
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.