Autism spectrum disorders in children with a history of infantile spasms: a population-based study

Evald Saemundsen1, Petur Ludvigsson, Vilhjalmur Rafnsson

  • 1Division of Autism and Communication Disorders, State Diagnostic and Counseling Center, Kopavogur, Iceland. evald@greining.is

Journal of Child Neurology
|September 25, 2007
PubMed

Insights

Autism spectrum disorder (ASD) affects 35.3% of children with infantile spasms, a rate significantly higher than in the general population. Early diagnosis and intervention are crucial for these children.

Area of Science:

  • Pediatrics
  • Child Neurology
  • Developmental Psychology

Background:

  • Infantile spasms are a severe form of epilepsy in infants.
  • Autism spectrum disorder (ASD) is a neurodevelopmental condition affecting communication and behavior.
  • Comorbidity between infantile spasms and ASD is a growing area of research.

Purpose of the Study:

  • To determine the prevalence of autism spectrum disorder in children diagnosed with infantile spasms.
  • To describe the characteristics of children with both conditions.
  • To compare ASD prevalence in this cohort to the general population.

Main Methods:

  • Retrospective review of pediatric records in Iceland.
  • Screening using the Social Communication Questionnaire.
  • Diagnostic confirmation with Autism Diagnostic Interview-Revised and Autism Diagnostic Observation Schedule or Childhood Autism Rating Scale.
  • Cognitive and adaptive behavior assessments.

Main Results:

  • 17 children (10 boys, 7 girls) participated; mean age 11 years 6 months.
  • 35.3% (6/17) were diagnosed with ASD.
  • Five ASD cases had symptomatic infantile spasms; four had profound intellectual disability (IQ/DQ<20).
  • Prevalence estimates exceeded general population rates.

Conclusions:

  • Children with infantile spasms have a significantly higher prevalence of autism spectrum disorder.
  • Symptomatic infantile spasms and intellectual disability are associated with ASD in this cohort.
  • Further research is needed to understand the underlying mechanisms and optimize management.

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