Positive screening on the Modified Checklist for Autism in Toddlers (M-CHAT) in extremely low gestational age newborns

J Pediatr. 2009 Apr;154(4):535-540.e1. doi: 10.1016/j.jpeds.2008.10.011. Epub 2009 Jan 29.

Abstract

Objective: To test the hypothesis that children born preterm are more likely to screen positive on the M-CHAT for an autism spectrum disorder.

Study design: We compared the M-CHAT positive rate of those with cerebral palsy, cognitive impairment, and vision and hearing impairments to those without such deficits.

Results: Relative to children who could walk, the odds for screening positive on the M-CHAT were increased 23-fold for those unable to sit or stand independently and more than 7-fold for those requiring assistance to walk. Compared with children without a diagnosis of cerebral palsy, those with quadriparesis were 13 times more likely to screen positive, and those with hemiparesis were 4 times more likely to screen positive. Children with major vision or hearing impairments were 8 times more likely to screen positive than those without such impairments. Relative to those with a Mental Development Index (MDI) of >70, the odds for screening positive were increased 13-fold for those with an MDI of <55 and more than 4-fold for those with an MDI of 55 to 69.

Conclusions: Major motor, cognitive, visual, and hearing impairments appear to account for more than half of the positive M-CHAT screens in extremely low gestational age newborns. Even after those with such impairments were eliminated, 10% of children--nearly double the expected rate--screened positive.

Publication types

  • Comparative Study
  • Evaluation Study
  • Research Support, N.I.H., Extramural

MeSH terms

  • Autistic Disorder / prevention & control*
  • Blindness / psychology
  • Cerebral Palsy / psychology
  • Child, Preschool
  • Cognition Disorders / psychology
  • Deafness / psychology
  • False Positive Reactions
  • Female
  • Humans
  • Infant
  • Infant, Newborn
  • Infant, Premature*
  • Infant, Very Low Birth Weight*
  • Logistic Models
  • Male
  • Mass Screening / methods*
  • Multivariate Analysis
  • Risk Factors
  • Sensitivity and Specificity
  • Surveys and Questionnaires*
  • United States