Predicting severe motor impairment in preterm children at age 5 years

Anne Synnes1, Peter J Anderson2, Ruth E Grunau1

  • 1Department of Pediatrics, University of British Columbia, and Child and Family Research Institute, Vancouver, British Columbia, Canada.

Insights

Predicting severe motor impairment in children improves significantly between birth and 18 months. Early risk factors and assessments at 18 months enhance prediction accuracy for long-term motor outcomes.

Area of Science:

  • Pediatric neurology
  • Developmental pediatrics
  • Clinical prediction modeling

Background:

  • Early identification of severe motor impairment is crucial for timely intervention in high-risk infants.
  • Predictive models for motor outcomes in very low birth weight (VLBW) infants evolve over the first few years of life.

Purpose of the Study:

  • To evaluate the improvement in predicting severe motor impairment at age 5 years.
  • To assess predictive accuracy changes from birth to 18 months corrected age.

Main Methods:

  • An ancillary study of the Caffeine for Apnea of Prematurity Trial.
  • Used a cumulative risk model with sequential predictor variables (neonatal, 36 weeks PMA, 18 months corrected age, sociodemographic).
  • Compared receiver operating characteristic (ROC) curves to assess the increase in area under the curve (AUC).

Main Results:

  • The area under the curve (AUC) for predicting severe motor impairment at 5 years increased from 0.650 at birth to 0.718 at 36 weeks postmenstrual age (PMA) and 0.797 at 18 months corrected age.
  • The predictive accuracy significantly improved between birth and 18 months (p<0.001).
  • Sociodemographic variables did not significantly enhance the predictive model's performance (AUC=0.806, p=0.07).

Conclusions:

  • Predictive modeling for severe motor impairment at 5 years significantly improves from birth through 18 months corrected age in VLBW children.
  • This highlights the importance of serial assessments for refining prognostic accuracy in high-risk neonates.
  • The cumulative risk model effectively captures evolving risk factors influencing long-term motor development.
Abstract

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