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Development and validation of DSM-5 based diagnostic tool for children with Autism Spectrum Disorder

Publication Type : Journal Article

Thematic Areas : Medical Sciences

Publisher : journals.plos

Source : PloS one, 2019

Url : https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0213242

Campus : Faridabad

School : School of Medicine

Year : 2019

Abstract : Diagnostic and Statistical Manual of mental disorder-IV (DSM-IV) TR based INCLEN Diagnostic Tool for Autism Spectrum Disorder (INDT-ASD) is an established instrument for the diagnosis of ASD in Indian subcontinent and low-middle income countries (LMIC). The introduction of DSM-5 necessitated revision of existing INDT-ASD tool to incorporate the DSM-5 related changes. This study was undertaken to develop and validate the DSM-5 based All India Institute of Medical Sciences (AIIMS)-Modified-INDT-ASD Tool. The modifications were done using Delphi method and included: (a) rearrangement of questions from the previous tool; and (b) addition of new questions on sensory symptoms. The modified tool was validated against DSM-5 diagnostic criteria. In addition, receiver operating characteristic (ROC) curves were used to determine the cut-off for total score as compared to Childhood Autism Rating Scale (CARS) score to grade the severity of ASD. Two-hundred-twenty-five children (159 boys, median age = 47months) were enrolled. The modified tool demonstrated sensitivity of 98.4% and specificity of 91.7% to diagnose ASD. A score 14 on the tool was suggestive of severe ASD (CARS>36.5) with a sensitivity and specificity of 80% and 80.7% respectively [Area under the curve = 0.89]. AIIMS-Modified-INDT-ASD Tool is a simple and structured instrument based on DSM-5 criteria which can facilitate diagnosis of ASD with acceptable diagnostic accuracy.

Cite this Research Publication : Gulati, Sheffali, Jaya Shankar Kaushik, Lokesh Saini, Vishal Sondhi, Priyanka Madaan, N. K. Arora, R. M. Pandey et al. "Development and validation of DSM-5 based diagnostic tool for children with Autism Spectrum Disorder." PloS one 14, no. 3 (2019): e0213242.

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