Developmental outcomes of young children with an autism diagnosis and its associated clinical correlates - Scorecard - MDSpire

Developmental outcomes of young children with an autism diagnosis and its associated clinical correlates

  • By

  • Ramkumar Aishworiya

  • Erdembileg Sundarimaa

  • Siew-Pang Chan

  • Rakhi Vashishtha

  • June 15, 2026

  • 0 min

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Clinical Scorecard: Developmental Progression and Clinical Factors Influencing Outcomes in Young Children Diagnosed with Autism

At a Glance

CategoryDetail
ConditionAutism Spectrum Disorder (ASD)
Key MechanismsEarly identification and intervention, developmental evaluations using Mullen Scales of Early Learning
Target PopulationChildren diagnosed with autism at < 2 years of age
Care SettingChild Development Unit (CDU) providing multidisciplinary assessment and intervention

Key Highlights

  • Improvements in Receptive Language and Expressive Language T-scores observed at follow-up
  • Higher baseline T-scores associated with better follow-up scores across developmental domains
  • Age at initial presentation significantly associated with Fine Motor outcomes
  • Intervention hours not independently associated with developmental outcomes in the full sample
  • Higher intervention hours linked to better follow-up scores in children with baseline developmental delay

Guideline-Based Recommendations

Diagnosis

  • Diagnosis based on DSM-5 criteria and evaluation by a developmental behavioural paediatrician or ADOS-2

Management

  • Naturalistic developmental behavioural interventions (NDBIs) recommended for autism treatment

Monitoring & Follow-up

  • Regular developmental evaluations using standardized tools like Mullen Scales of Early Learning

Risks

  • Long-term outcomes in autism vary; factors influencing trajectories include demographics and child characteristics

Patient & Prescribing Data

Children diagnosed with autism at < 2 years of age

Intervention delivered in a 1–1 therapist to child format, frequency of 1 hour every 1 to 2 months

Clinical Best Practices

  • Early identification and intervention for autism
  • Use of systematic screening tools like M-CHAT-R/F for early diagnosis
  • Consideration of child-level characteristics in treatment planning

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