T-STAT for detecting autism spectrum disorder in toddlers aged 18-24months

Chin-Chin Wu1,2, Chung-Hsin Chiang3, Ching-Lin Chu4

  • 1Kaohsiung Medical University, Taiwan.

Insights

Early autism spectrum disorder (ASD) diagnosis is crucial. The Taiwanese Screening Tool for Autism in Two-Year-Olds reliably identifies ASD in toddlers aged 18-24 months, enabling timely intervention.

Area of Science:

  • Developmental Pediatrics
  • Child Psychology
  • Neurodevelopmental Disorders

Background:

  • Early intervention for autism spectrum disorder (ASD) significantly improves outcomes for young children.
  • Timely diagnosis before 24 months is critical, yet many children receive delayed diagnoses, missing crucial intervention windows.
  • Children with milder ASD symptoms are particularly at risk for delayed diagnosis.

Purpose of the Study:

  • To evaluate the efficacy of the Taiwanese version of the Screening Tool for Autism in Two-Year-Olds (STAT-TW) for identifying ASD in toddlers aged 18-24 months.
  • To assess the tool's reliability in diagnosing ASD using both strict and relaxed DSM-5 criteria.

Main Methods:

  • The study involved toddlers aged 18-24 months in Taiwan.
  • The Taiwanese STAT-TW was used to screen for autism spectrum disorder.
  • Participants were assessed using both strict and relaxed Diagnostic and Statistical Manual of Mental Disorders (5th ed.) criteria for ASD.

Main Results:

  • The Taiwanese STAT-TW demonstrated reliable detection of autism spectrum disorder in toddlers between 18 and 24 months of age.
  • The study confirmed that reliable ASD diagnoses are feasible before 24 months.
  • The STAT-TW is validated as a Level 2 autism-specific screening tool for this age group in Taiwan.

Conclusions:

  • Early diagnosis of autism spectrum disorder is achievable before 24 months of age.
  • The Taiwanese STAT-TW is a reliable and effective screening tool for identifying ASD in toddlers aged 18-24 months in Taiwan.
  • This tool supports early intervention by facilitating timely ASD diagnosis.
Abstract

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