Diagnosing Autism Spectrum Disorder: who will get a DSM-5 diagnosis?
Background Introduction of proposed criteria for DSM‐5 Autism Spectrum Disorder (ASD) has raised concerns that some individuals currently meeting diagnostic criteria for Pervasive Developmental Disorder (PDD; DSM‐IV‐TR/ICD‐10) will not qualify for a diagnosis under the proposed changes. To date, rep...
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| Published in | Journal of child psychology and psychiatry Vol. 54; no. 11; pp. 1242 - 1250 |
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| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford
Blackwell Publishing Ltd
01.11.2013
Wiley-Blackwell Blackwell BlackWell Publishing Ltd |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0021-9630 1469-7610 1469-7610 |
| DOI | 10.1111/jcpp.12085 |
Cover
| Summary: | Background
Introduction of proposed criteria for DSM‐5 Autism Spectrum Disorder (ASD) has raised concerns that some individuals currently meeting diagnostic criteria for Pervasive Developmental Disorder (PDD; DSM‐IV‐TR/ICD‐10) will not qualify for a diagnosis under the proposed changes. To date, reports of sensitivity and specificity of the new criteria have been inconsistent across studies. No study has yet considered how changes at the ‘sub domain’ level might affect overall sensitivity and specificity, and few have included individuals of different ages and ability levels.
Methods
A set of DSM‐5 ASD algorithms were developed using items from the Diagnostic Interview for Social and Communication Disorders (DISCO). The number of items required for each DSM‐5 subdomain was defined either according to criteria specified by DSM‐5 (Initial Algorithm), a statistical approach (Youden J Algorithm), or to minimise the number of false positives while maximising sensitivity (Modified Algorithm). The algorithms were designed, tested and compared in two independent samples (Sample 1, N = 82; Sample 2, N = 115), while sensitivity was assessed across age and ability levels in an additional dataset of individuals with an ICD‐10 PDD diagnosis (Sample 3, N = 190).
Results
Sensitivity was highest in the Initial Algorithm, which had the poorest specificity. Although Youden J had excellent specificity, sensitivity was significantly lower than in the Modified Algorithm, which had both good sensitivity and specificity. Relaxing the domain A rules improved sensitivity of the Youden J Algorithm, but it remained less sensitive than the Modified Algorithm. Moreover, this was the only algorithm with variable sensitivity across age. All versions of the algorithm performed well across ability level.
Conclusions
This study demonstrates that good levels of both sensitivity and specificity can be achieved for a diagnostic algorithm adhering to the DSM‐5 criteria that is suitable across age and ability level. |
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| Bibliography: | Appendix S1. Draft DSM-5 criteria for Autism Spectrum Disorders (in bold) and DISCO algorithm items and subdomain thresholds in Sample 1. Appendix S2. ROC curve and subdomain thresholds. Appendix S3. Identifying the DISCO items that differ significantly between high- and low-ability individuals or between children and adults in Sample 3. Economic and Social Research Council - No. ES/G039399/1 ark:/67375/WNG-K03FHBRR-V istex:E4251C389DDCA730AA9D70D76EEFBEB6647B14B3 ArticleID:JCPP12085 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Conflict of interest statement: Potential conflicts disclosed in Acknowledgements. Joint first authors |
| ISSN: | 0021-9630 1469-7610 1469-7610 |
| DOI: | 10.1111/jcpp.12085 |