Available online 10 June 2022, 151641
AbstractNeonatal outcome prediction is important as the perinatal and neonatal periods are periods of considerable organ development and maturation, and accurate outcome prediction can help inform perinatal and intensive care management, prognosis, and post-discharge interventions. The Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network (NRN) study databases include hospital and neurodevelopment follow-up outcomes of infants with various underlying diseases and conditions receiving intensive care, providing a unique opportunity to assess outcome risk prediction. The NRN has developed outcome risk prediction tools for use in infants with various diseases and conditions that allow data-driven, transparent discussions to inform family-focused communications and clinical management. This review presents the published neonatal outcome risk prediction research from the NRN, their present clinical utility, and possible future directions for advanced individualized risk prediction.
AbbreviationsAUCArea under the curve analysis
BPDBronchopulmonary dysplasia
CARTClassification and regression tree analysis
FS-IIFunctional Status-II scale
GDBGeneric Database study
HIEHypoxic-ischemic encephalopathy
IOFSImpact on family scale
MRIMagnetic resonance imaging
NICHDEunice Kennedy Shriver National Institute of Child Health and Human Development
NICUNeonatal intensive care unit
NIHNational Institutes of Health
NRNNeonatal Research Network
PCO2Partial pressure of carbon dioxide
TIPPTrial of Indomethacin Prophylaxis in Preterms
VONVermont Oxford Network
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