Literature DB >> 34294006

Autism Diagnostic Observation Schedule (ADOS-2) elevations in a clinical sample of children and adolescents who do not have autism: Phenotypic profiles of false positives.

Rachel K Greene1, Iulia Vasile1, Kathryn R Bradbury1, Aarika Olsen2, Susanne W Duvall1.   

Abstract

OBJECTIVE: While the Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) shows high sensitivity for detecting autism spectrum disorder (ASD) when present (i.e. true positives), scores on the ADOS-2 may be falsely elevated for individuals with cognitive impairments or psychological concerns other than ASD (i.e. false positives). This study examined whether demographic, psychological, cognitive, and/or adaptive factors predict ADOS-2 false positives and which psychiatric diagnoses most often result in false positives.
METHOD: Sensitivity, specificity, false positive, and false negative rates were calculated among 214 5- to 16-year-old patients who completed an ADOS-2 (module 3) as part of an ASD diagnostic evaluation. Additional analyses were conducted with the 101 patients who received clinically elevated ADOS-2 scores (i.e. 56 true positives and 45 false positives).
RESULTS: Results revealed a 34% false positive rate and a 1% false negative rate. False positives were slightly more likely to be male, have lower restricted and repetitive behavior (RRB) severity scores on the ADOS-2, and demonstrate elevated anxiety during the ADOS-2. Neither IQ, adaptive functioning, nor caregiver-reported emotional functioning was predictive of false positive status. Trauma-related psychiatric diagnoses were more common among false positives.
CONCLUSIONS: The ADOS-2 should not be used in isolation to assess for ASD, and, in psychiatrically-complex cases, RRB symptom severity may be particularly helpful in differentiating ASD from other psychiatric conditions. Additionally, heightened levels of anxiety, more so than overactivity or disruptive behavior, may lead to non-ASD specific elevations in ADOS-2 scores.

Entities:  

Keywords:  Autism spectrum disorder; assessment; diagnostic accuracy; differential diagnosis; false positives

Mesh:

Year:  2021        PMID: 34294006     DOI: 10.1080/13854046.2021.1942220

Source DB:  PubMed          Journal:  Clin Neuropsychol        ISSN: 1385-4046            Impact factor:   3.535


  3 in total

1.  Abilities and Disabilities-Applying Machine Learning to Disentangle the Role of Intelligence in Diagnosing Autism Spectrum Disorders.

Authors:  Nicole Wolff; Matthias Eberlein; Sanna Stroth; Luise Poustka; Stefan Roepke; Inge Kamp-Becker; Veit Roessner
Journal:  Front Psychiatry       Date:  2022-03-03       Impact factor: 5.435

2.  Phenotypic differences between female and male individuals with suspicion of autism spectrum disorder.

Authors:  Sanna Stroth; Johannes Tauscher; Nicole Wolff; Charlotte Küpper; Luise Poustka; Stefan Roepke; Veit Roessner; Dominik Heider; Inge Kamp-Becker
Journal:  Mol Autism       Date:  2022-03-07       Impact factor: 7.509

3.  Identifying Patient Characteristics to Understand Which Children May Receive Diagnostic Clarity in a Virtual Autism Spectrum Disorder Evaluation.

Authors:  Randi A Phelps; Erika Sample; Rachel K Greene; Susanne W Duvall
Journal:  J Autism Dev Disord       Date:  2022-01-22
  3 in total

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