Early developmental milestone clusters of autistic children based on electronic health records

Ayelet Ben-Sasson1, Joshua Guedalia1, Keren Ilan1

  • 1University of Haifa, Haifa, Israel.

Insights

Autistic children show distinct early developmental milestone (EDM) patterns, with four clusters identified. These clusters, ranging from mild to global delays, highlight the need for tailored autism screening and interventions based on individual profiles.

Area of Science:

  • Developmental Pediatrics
  • Neurodevelopmental Disorders
  • Child Psychology

Background:

  • Autism Spectrum Disorder (ASD) presents with heterogeneous symptoms and developmental trajectories.
  • Early developmental milestones (EDMs) are crucial indicators of neurodevelopment in young children.
  • Understanding distinct patterns of EDM attainment in autistic children can inform early identification and intervention.

Purpose of the Study:

  • To identify and characterize distinct clusters of autistic children based on their early developmental milestone attainment patterns.
  • To investigate demographic and clinical differences across identified EDM clusters.
  • To inform the development of tailored early screening and intervention strategies for autistic children.

Main Methods:

  • K-means cluster analysis was applied to data from 5836 autistic children.
  • Milestone attainment data for 43 gross motor, fine motor, language, and social milestones were analyzed from the first three years of life.
  • Demographic factors, parental concerns, and provider referrals were examined across clusters.

Main Results:

  • Four distinct EDM clusters were identified: mild, moderate, severe, and global developmental delay.
  • The global cluster exhibited the most significant delays across domains, particularly early gross motor delays, and higher rates of preterm birth via cesarean section.
  • Language development showed the most prominent differences between clusters, with specific patterns observed in the second and third years of life.
  • Demographic variations included socioeconomic status, with the mild cluster having higher SES and the global cluster the lowest.
  • Parental concerns and referral rates were highest in the global and severe clusters.

Conclusions:

  • Autistic children's early language and motor delays can be categorized into distinct profiles based on magnitude and onset.
  • These EDM clusters may correlate with specific etiologies (e.g., prematurity, genetics) and inform targeted intervention programs.
  • Early autism screening protocols should be individualized to accommodate these diverse developmental profiles.

Related Concept Videos