Available online 10 June 2022, 151641

Neonatal 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.

Area under the curve analysis

Bronchopulmonary dysplasia

Classification and regression tree analysis

Functional Status-II scale

Generic Database study

Hypoxic-ischemic encephalopathy

Impact on family scale

Magnetic resonance imaging

Eunice Kennedy Shriver National Institute of Child Health and Human Development

Neonatal intensive care unit

National Institutes of Health

Neonatal Research Network

Partial pressure of carbon dioxide

Trial of Indomethacin Prophylaxis in Preterms

Vermont Oxford Network

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