A. Majnemer et al., PREDICTING OUTCOME IN HIGH-RISK NEWBORNS WITH A NEONATAL NEUROBEHAVIORAL ASSESSMENT, The American journal of occupational therapy, 48(8), 1994, pp. 723-732
Objectives. Effective medical management and rehabilitation efforts in
neonates at risk depend on early identification of underlying brain i
njury. The aim of this study was to determine the prognostic value of
the Einstein Neonatal Neurobehavioral Assessment Scale (ENNAS) in high
-risk neonates, and to compare its predictive validity at two stages i
n development (i.e., 1 and 3 years of age). Method. Twenty-three healt
hy neonates (control group) and 51 high-risk neonates (high-risk group
) were assessed at term and were followed longitudinally. At 1 and 3 y
ears, subjects in both groups were evaluated in a blind fashion by a p
sychologist and a pediatric neurologist. Results. Developmental delays
became more apparent as high-risk newborns matured; the percentage of
subjects with an abnormal Griffiths general quotient increased from 1
year (13.7%) to 3 years (39%). Analysis revealed that a normal neonat
al performance on the ENNAS in high-risk subjects accurately predicted
a favorable outcome at 1 year and 3 years of age. Although an abnorma
l ENNAS was not consistently associated with a poor outcome, the posit
ive predictive value improved markedly from 1 year to 3 years of age.
Conclusion. The findings indicate that a normal neonatal neurobehavior
al assessment is reassuring, as most of these children are free of neu
rodevelopmental sequelae at 3 years of age. For many persons, the ENNA
S may provide early evidence of a pattern of brain injury that is mani
fested only as the child is challenged by more complex skill acquisiti
on such as language, memory, and perceptual-motor tasks. The ability o
f this assessment to predict behavioral and academic skills at school
age remains to be determined. Early identification of developmental de
ficits enables occupational therapists to direct infants to appropriat
e early intervention programs, thus optimizing their functional potent
ial.