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"An eye-tracking tool helped diagnose autism in children ages 16–30 months 71% and 81.9% of the time, according to studies in JAMA and JAMA Network Open, respectively; researchers say the tool could build providers’ capacity to identify kids earlier—and “decrease the health care disparities that affect minority, low-income and rural families.” CNN" (Source)
From the key points and abstract:
"Key Points
Question
Can eye-tracking–based measurement of social visual engagement aid in early diagnosis and assessment of autism in young children?
Findings
In a multisite, prospective, double-blind study of 475 children aged 16 to 30 months assessed for autism in 6 specialty clinics, measurement of social visual engagement had 71.0% sensitivity and 80.7% specificity relative to expert clinical diagnosis. In the subgroup of children whose autism diagnosis was certain (n = 335), the test had 78.0% sensitivity and 85.4% specificity.
Meaning
Eye-tracking–based measurement warrants further evaluation for early diagnosis and assessment of autism in young children referred to specialty clinics.
Abstract
Importance: In the US, children with signs of autism often experience more than 1 year of delay before diagnosis and often experience longer delays if they are from racially, ethnically, or economically disadvantaged backgrounds. Most diagnoses are also received without use of standardized diagnostic instruments. To aid in early autism diagnosis, eye-tracking measurement of social visual engagement has shown potential as a performance-based biomarker.
Objective: To evaluate the performance of eye-tracking measurement of social visual engagement (index test) relative to expert clinical diagnosis in young children referred to specialty autism clinics.
Design, Setting, and Participants: In this study of 16- to 30-month-old children enrolled at 6 US specialty centers from April 2018 through May 2019, staff blind to clinical diagnoses used automated devices to measure eye-tracking–based social visual engagement. Expert clinical diagnoses were made using best practice standardized protocols by specialists blind to index test results. This study was completed in a 1-day protocol for each participant.
Main Outcomes and Measures: Primary outcome measures were test sensitivity and specificity relative to expert clinical diagnosis. Secondary outcome measures were test correlations with expert clinical assessments of social disability, verbal ability, and nonverbal cognitive ability.
Results: Eye-tracking measurement of social visual engagement was successful in 475 (95.2%) of the 499 enrolled children (mean [SD] age, 24.1 [4.4] months; 38 [8.0%] were Asian; 37 [7.8%], Black; 352 [74.1%], White; 44 [9.3%], other; and 68 [14.3%], Hispanic). By expert clinical diagnosis, 221 children (46.5%) had autism and 254 (53.5%) did not. In all children, measurement of social visual engagement had sensitivity of 71.0% (95% CI, 64.7% to 76.6%) and specificity of 80.7% (95% CI, 75.4% to 85.1%). In the subgroup of 335 children whose autism diagnosis was certain, sensitivity was 78.0% (95% CI, 70.7% to 83.9%) and specificity was 85.4% (95% CI, 79.5% to 89.8%). Eye-tracking test results correlated with expert clinical assessments of individual levels of social disability (r = −0.75 [95% CI, −0.79 to −0.71]), verbal ability (r = 0.65 [95% CI, 0.59 to 0.70]), and nonverbal cognitive ability (r = 0.65 [95% CI, 0.59 to 0.70]).
Conclusions and Relevance: In 16- to 30-month-old children referred to specialty clinics, eye-tracking–based measurement of social visual engagement was predictive of autism diagnoses by clinical experts. Further evaluation of this test’s role in early diagnosis and assessment of autism in routine specialty clinic practice is warranted."
Eye-Tracking–Based Measurement of Social Visual Engagement Compared With Expert Clinical Diagnosis of Autism (open access)
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