Evaluation of the infant at risk for neurodevelopmental disability

C D Molteno1, M C Thompson, S S Buccimazza

  • 1Department of Psychiatry, University of Cape Town.

Insights

Early detection of neurodevelopmental abnormalities in infants is crucial for timely therapy. The Infant Neuromotor Assessment (INA) at 18 weeks shows promise for predicting outcomes in high-risk newborns.

Area of Science:

  • Neonatal care and developmental pediatrics.
  • Neurological assessment and outcome prediction in infants.

Background:

  • Early detection of neurodevelopmental abnormalities in infants is critical for initiating timely interventions.
  • Currently, there is a lack of widely accepted methods for early neurodevelopmental evaluation.

Purpose of the Study:

  • To compare the predictive accuracy of the perinatal risk rating (PRR), Dubowitz Neurological Assessment (DNA), and Infant Neuromotor Assessment (INA) for 1-year neurodevelopmental outcomes.
  • To evaluate the effectiveness of these tools in identifying infants at risk for abnormal neurodevelopment.

Main Methods:

  • A prospective follow-up study involving 130 high-risk infants graduating from a neonatal intensive care unit.
  • Infants underwent the DNA and PRR at term, the INA at 18 weeks, and a Griffiths Developmental Assessment and neurological examination at 1 year.

Main Results:

  • The PRR predicted normal outcome at 1 year with 98% accuracy, while the DNA achieved 96% accuracy.
  • The DNA and PRR had lower accuracy in predicting abnormal outcomes (56% and 42%, respectively).
  • The INA at 18 weeks demonstrated high predictive value: 99% for normal outcomes (≤3 abnormal signs) and 82% for abnormal outcomes (≥4 abnormal signs).

Conclusions:

  • The Infant Neuromotor Assessment (INA) at 18 weeks is a valuable tool for predicting 1-year neurodevelopmental outcomes in high-risk infants.
  • A protocol for follow-up of high-risk infants can be developed based on these predictive assessments.
  • While PRR and DNA are useful for predicting normal outcomes, INA offers better prediction for abnormal outcomes.
Abstract