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Defining the Optimal Threshold Scores for Adult Autism Subthreshold Spectrum (AdAS Spectrum) in Clinical and General Population.
Dell'Osso, Liliana; Carmassi, Claudia; Cremone, Ivan Mirko; Muti, Dario; Salerni, Antonio; Barberi, Filippo Maria; Massimetti, Enrico; Gesi, Camilla; Politi, Pierluigi; Aguglia, Eugenio; Maj, Mario; Carpita, Barbara.
Affiliation
  • Dell'Osso L; Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
  • Carmassi C; Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
  • Cremone IM; Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
  • Muti D; Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
  • Salerni A; Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
  • Barberi FM; Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
  • Massimetti E; Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
  • Gesi C; Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
  • Politi P; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
  • Aguglia E; Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, Catania, Italy.
  • Maj M; Department of Psychiatry, University of Nalpes SUN, Naples, Italy.
  • Carpita B; Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Article in En | MEDLINE | ID: mdl-33719360
ABSTRACT

BACKGROUND:

The Adult Autism Subthreshold Spectrum (AdAS Spectrum) is a recently developed instrument tailored to assess the broad range of full-threshold as well as sub-threshold manifestations related to the autism spectrum. Although it has proved to be a valuable instrument for quantitative assessment of autistic symptoms, the AdAS Spectrum still lacks validated diagnostic thresholds.

OBJECTIVE:

The aim of this study was to define the best cut-off scores of the AdAS Spectrum for determining the presence of subthreshold autistic traits as well as a clinically significant autism spectrum disorder (ASD).

METHODS:

Our sample was composed of 39 patients with full-blown ASD, 73 subjects with autistic traits, and 150 healthy controls. Subjects were evaluated by trained psychiatrists, who performed a clinical diagnosis according to DSM-5 and then assessed with the AdAS Spectrum and the Autism Spectrum Quotient.

RESULTS:

Our results showed that the most discriminant cut-off scores were 70 for identifying subjects with full-blown ASD, and 43 for determining the presence of significant autistic traits.

CONCLUSION:

The threshold values proposed here showed satisfying levels of specificity and sensibility, as well as a good agreement with the diagnosis according to DSM-5 criteria, confirming the validity of the AdAS Spectrum as a psychometric tool for measuring ASD-related conditions in the clinical and general population.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Clin Pract Epidemiol Ment Health Year: 2020 Type: Article Affiliation country: Italy

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Clin Pract Epidemiol Ment Health Year: 2020 Type: Article Affiliation country: Italy