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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
19:15

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

Developmental pathways through childhood for children treated in a neonatal intensive care unit

P Ellison1, M Foster

  • 1University of Colorado School of Medicine, Denver.

Acta Paediatrica (Oslo, Norway : 1992). Supplement
|March 1, 1992
PubMed

Insights

Neonatal intensive care unit (NICU) treatments and conditions impact children's long-term motor, neurological, and developmental functions. This longitudinal study reveals significant pathways from perinatal factors to later childhood abilities.

Area of Science:

  • Neonatalogy
  • Developmental Pediatrics
  • Perinatal Medicine

Background:

  • Neonatal intensive care units (NICUs) provide critical care for vulnerable newborns.
  • Understanding the long-term effects of perinatal conditions and treatments is crucial for child development.

Purpose of the Study:

  • To investigate the relationships between perinatal factors and children's functional outcomes at multiple follow-up points.
  • To characterize covariation between neonatal health status and later developmental trajectories.

Main Methods:

  • Longitudinal study design tracking children treated in NICUs from 1975-1978.
  • Multivariate and path analyses utilizing a latent variable approach.
  • Assessment of maternal and newborn conditions, treatments, and child functioning (motor, neurological, developmental, ability) at 15 months, 4 years, and 7 years.

Main Results:

  • Identified significant pathways linking perinatal factors to later childhood functioning.
  • Noteworthy pathways included those from fetal distress, asphyxia, early crisis, intraventricular hemorrhage, anemia of prematurity, and length of NICU stay.

Conclusions:

  • Perinatal health status and NICU interventions have lasting impacts on children's neurodevelopmental and functional outcomes.
  • Latent variable modeling effectively characterizes complex relationships between early life events and long-term development.

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