Detecting subgroups in children diagnosed with pervasive developmental disorder - not otherwise specified
Laura Brennan1, Marianne Barton, Chi-Ming Chen
1Department of Psychology, University of Connecticut, 406 Babbidge Road, Unit 1020, Storrs, CT, 06269-1020, USA, laura.brennan@uconn.edu.
Journal of Autism and Developmental Disorders
|November 7, 2014
Summary
Early identification of subgroups in children with pervasive developmental disorder--not otherwise specified (PDD-NOS) predicts later diagnoses. Some PDD-NOS children improve, while others develop Autism Spectrum Disorder (ASD) or Autistic Disorder.
Area of Science:
- Child psychology
- Developmental neuroscience
- Clinical psychology
Background:
- Pervasive Developmental Disorder--Not Otherwise Specified (PDD-NOS) is a complex diagnosis.
- Understanding developmental trajectories within PDD-NOS is crucial for early intervention.
- Subgroup identification may clarify diagnostic heterogeneity.
Purpose of the Study:
- To identify distinct subgroups within a PDD-NOS sample at age 2.
- To examine the diagnostic outcomes of these subgroups at age 4.
- To explore the role of specific symptoms, like repetitive behaviors, in predicting outcomes.
Main Methods:
- Hierarchical cluster analyses were applied to data from children diagnosed with PDD-NOS at age 2.
- Cognitive scores, autism symptoms, social/communication skills, and repetitive behaviors were assessed.
- Diagnostic outcomes at age 4 were compared across identified clusters.
Main Results:
- Three distinct subgroups emerged at age 2.
- Cluster 1 (few autism symptoms, high cognition) showed significant improvement, with 60% no longer meeting PDD criteria at age 4.
- Cluster 2 (more autism symptoms, lower cognition) had 89.5% meeting Autism Spectrum Disorder (ASD) criteria at age 4.
- Cluster 3 (lowest cognition, impaired social/communication, no repetitive behaviors) had 60% diagnosed with Autistic Disorder at age 4.
Conclusions:
- Subgrouping PDD-NOS at age 2 can predict later diagnostic outcomes.
- The presence and severity of autism symptoms and cognitive function are key predictors.
- The diagnostic criteria in DSM-5, particularly the emphasis on repetitive behaviors, warrant further investigation in light of these findings.
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