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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Maternal Prenatal Risk Phenotypes and Neurobehavioral Outcomes among Infants Born Very Preterm
Marie Camerota1, Elisabeth C McGowan2, Brian S Carter3
1Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI; Department of Pediatrics, Women and Infants Hospital, Providence, RI.
Objective:
To assess whether prenatal risk phenotypes are associated with neurobehavioral impairment for children born <30 weeks of gestation at discharge from the neonatal intensive care unit (NICU) and at 24-month follow-up.
Study Design:
We studied infants from the Neonatal Neurobehavior and Outcomes in Very Preterm Infants (NOVI) study, a multisite investigation of infants born <30 weeks of gestation. There were 704 newborns enrolled in the NOVI study; of these, 679 (96%) had neonatal neurobehavioral data and 556 (79%) had 24-month follow-up data. Maternal prenatal phenotypes (physical and psychological risk groups) were characterized from 24 physical and psychological health risk factors. Neurobehavior was assessed at NICU discharge using the NICU Network Neurobehavioral Scales and at 2-year follow-up using the Bayley Scales of Infant and Toddler Development and the Child Behavior Checklist.
Results:
Children born to mothers in the psychological risk group were at increased risk for dysregulated neonatal neurobehavior (OR, 2.04; 95% CI, 1.08-3.87) at NICU discharge, and for severe motor delay (OR, 3.80; 95% CI, 1.48-9.75), and clinically significant externalizing problems (OR, 2.54; 95% CI, 1.15-5.56) at age 24 months, compared with children born to mothers in the low-risk group. Children born to mothers in the physical risk group were more likely to have severe motor delay (OR, 2.70; 95% CI, 1.07-6.85) compared with the low-risk group.
Conclusions:
High-risk maternal prenatal phenotypes were associated with neurobehavioral impairment for children born very preterm. This information could identify newborns at risk for adverse neurodevelopmental outcomes.
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