4.5 Article

Variation in the Early Trajectories of Autism Symptoms Is Related to the Development of Language, Cognition, and Behavior Problems

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jaac.2017.05.022

Keywords

autism spectrum disorder; latent-class trajectory; longitudinal; attention-deficit/hyperactivity disorder; attention

Funding

  1. Korczak Foundation
  2. European Community's Seventh Framework Program (FP7) [278948]
  3. Innovative Medicines Initiative Joint Undertaking [115300]
  4. European Union's Seventh Framework Program (FP7)
  5. European Federation of Pharmaceutical Industries and Associations (EFPIA)
  6. European Community's Horizon Program (H) [643051, 642996]
  7. BD2K Initiative of NIH [U54 EB020403]

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Objective: The objectives of this study were to model more homogeneous subgroups within autism spectrum disorder (ASD) based on early trajectories of core symptoms; and to further characterize these subgroups in terms of trajectories of language, cognition, co-occurring (attention-deficit/hyperactivity disorder [ADHD]-related) traits and clinical outcome diagnosis. Method: Children (N = 203) referred for possible ASD at ages 1 to 4 years were assessed at three time points at intervals ranging from 9 months to 3 years. Assessments included standardized measures for ASD (Autism Diagnostic Observation Schedule [ADOS]), language (ADOS-language item), nonverbal IQ (NV-IQ; different tests adequate to chronological/mental age), and parent reported behavioral problems (Infant-Toddler Social and Emotional Assessment, Child Behavior Checklist). Results: Latent-class growth curve analysis with ADOS total scores led to the identification of three main stable and two small improving groups: a severe-stable group (19.5% of sample)-the only group without considerable language improvement-showed persistent low NV-IQ and marked increase in attention problems over time; a moderate-stable group (21.7%) with below-average increasing NV-IQ; and a mild-stable group (48%) with stable-average NV-IQ and the highest scores on ADHD-related traits, whose ASD outcome diagnoses increased despite stable-low ASD scores. Two groups (each 5.4%) improved: one moved from severe to moderate.ASD scores, and the other moved from moderate to mild/nonspectrum scores. Both of these groups improved on language, NV-IQ, and ADHD-related traits. Conclusion: Results support the high stability of ASD symptoms into various severity levels, but also highlight the significant contribution of non-ASD domains in defining and explaining the different ASD trajectories.

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