SLPCohortAutism research : official journal of the International Society for Autism Research2019

Clustering of co-occurring conditions in autism spectrum disorder during early childhood: A retrospective analysis of medical claims data.

Troy Vargason, Richard E Frye, Deborah L McGuinness and 1 others

PMID 31149786

WHAT IT FOUND

Young children with autism in claims data clustered into three groups by co-occurring medical diagnoses.

All condition categories were more common than in children without autism, and 58.2% of children with autism had diagnoses in four or more categories.

Key findings

01All co-occurring condition categories were more prevalent in the ASD cohort than in the comparison cohort across the five-year enrollment period.

02The ASD cohort split into three clusters, with the largest cluster containing 49.8% of children with ASD.

03At least four co-occurring condition categories were diagnosed in 58.2% of children with ASD and 13.0% of children without ASD.

STILL TO COME

How it was doneWhat they foundWhat it means for SLPs

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What it does not show

Insurance claims codes may not prove a child truly had or did not have a condition. ASD diagnoses were not checked with gold-standard behavioral assessments, so some diagnoses may be inaccurate. Developmental-delay codes may have been used as placeholders for ASD rather than as separate conditions. The condition categories included common problems such as ear infections and allergies, which may inflate the proportion with at least one co-occurring condition. Children were followed from health-plan enrollment rather than exact birth date, because exact birth dates were not available. The sample was privately insured, so it may not represent all U.S. children. Some conditions, including certain psychiatric disorders, often appear later than early childhood, so they may be undercounted. The clusters were not validated in another sample, so they may not generalize. Using broad condition categories, not individual diagnoses, limits conclusions about specific conditions. The way the researchers grouped the data can affect the clusters found.

Declared interests

The authors reported no conflicts of interest.

The easy way to misread this

Do not treat these clusters as clinically validated autism subtypes or as evidence that therapy should change. They come from insurance claims codes, not assessments, and the study did not validate them in another sample.

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