Early developmental milestone clusters of autistic children based on electronic health records.
Four EHR-based milestone delay profiles sort autistic toddlers by language timing and birth risk.
01Research in Context
What this study did
The team pulled milestone dates from electronic health records of 5,836 autistic toddlers.
They ran k-means clustering on when each child sat, walked, babbled, and spoke first words.
Four clear delay profiles popped out, all tied mostly to language timing.
What they found
Every profile shows language lags, but the delay pattern and severity differ.
Kids also split by birth factors like prematurity, giving clinicians an early risk flag.
How this fits with other research
Sacco et al. (2012) and Gardner et al. (2009) already found four autism clusters, but they used small clinic samples and parent interviews. Ayelet’s huge EHR set sharpens the same four-group picture.
Rivard et al. (2026) repeats the idea in preschoolers yet finds only three profiles. The drop from four to three likely comes from using broader behavioral ratings instead of precise milestone dates.
Journal et al. (2024) extends this work by showing that toddlers who share similar early communication clusters stay on different skill paths years later. Milestone profiles are static; Fiona adds a crystal-ball view.
Why it matters
You can now sort incoming toddlers into one of four language-delay profiles during intake. Match each profile to an intervention track: intense verbal behavior for the most delayed, parent-mediated social communication for the mild group, and watch for regression signs in the late-talking cluster. Birth history like prematurity guides which profile to expect, so flag those charts early and start therapy faster.
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Open the intake file, map the child’s first-sat, first-walk, first-word dates to the four profiles, and pick the language-heavy intervention that matches that cluster.
02At a glance
03Original abstract
Autistic children vary in symptoms, co-morbidities, and response to interventions. This study aimed to identify clusters of autistic children with a distinct pattern of attaining early developmental milestones (EDMs). The clustering of 5836 autistic children was based on the attainment of 43 gross motor, fine motor, language, and social developmental milestones during the first 3 years of life as recorded in baby wellness visits. K-means cluster analysis detected four EDM clusters: mild (n = 1686); moderate (n = 1691); severe (n = 2265); and global (n = 194). The most prominent cluster differences were in the language domain. The global cluster showed earlier and greater developmental delay across domains, unique early gross motor delays, and more were born preterm via cesarean section. The severe cluster had poor language development prominently in the second year of life, and later fine motor delays. Moderate cluster had mainly language delays in the third year of life. The mild cluster mostly passed milestones. EDM clusters differed demographically, with higher socioeconomic status in mild cluster and lowest in global cluster. However, the severe cluster had more immigrant and non-Jewish mothers followed by the moderate cluster. The rates of parental concerns and provider developmental referrals were significantly higher in the global, followed by the severe, moderate, and mild EDM clusters. Autistic children's language and motor delay in the first 3 years can be grouped by common magnitude and onset profiles as distinct groups that may link to specific etiologies (like prematurity or genetics) and specific intervention programs. Early autism screening should be tailored to these different developmental profiles.
Autism research : official journal of the International Society for Autism Research, 2024 · doi:10.1002/aur.3177