Diagnosing Autism Spectrum Disorder: who will get a DSM-5 diagnosis?

被引:41
|
作者
Kent, Rachel G. [1 ]
Carrington, Sarah J. [1 ]
Le Couteur, Ann [2 ]
Gould, Judith [3 ]
Wing, Lorna [3 ]
Maljaars, Jarymke [4 ,5 ]
Noens, Ilse [4 ]
van Berckelaer-Onnes, Ina [5 ]
Leekam, Susan R. [1 ]
机构
[1] Cardiff Univ, Sch Psychol, Wales Autism Res Ctr, Cardiff CF10 3AT, S Glam, Wales
[2] Newcastle Univ, Inst Hlth & Soc, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
[3] Natl Autist Soc, Lorna Wing Ctr, Bromley, England
[4] Univ Leuven KU Leuven, Louvain, Belgium
[5] Leiden Univ, Leiden, Netherlands
基金
英国经济与社会研究理事会;
关键词
DSM-5; diagnosis; ASD; DISCO; COMMUNICATION DISORDERS; INTERVIEW; CRITERIA; IV; ABNORMALITIES; VALIDATION; CHILDREN;
D O I
10.1111/jcpp.12085
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
BackgroundIntroduction 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. MethodsA 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). ResultsSensitivity 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. ConclusionsThis 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.
引用
收藏
页码:1242 / 1250
页数:9
相关论文
共 50 条
  • [41] DSM-5 and Proposed Changes to the Diagnosis of Autism
    Lohr, W. David
    Tanguay, Peter
    [J]. PEDIATRIC ANNALS, 2013, 42 (04): : 161 - 166
  • [42] DSM-5 under-identifies PDDNOS: Diagnostic agreement between the DSM-5, DSM-IV, and Checklist for Autism Spectrum Disorder
    Mayes, Susan Dickerson
    Black, Amanda
    Tierney, Cheryl D.
    [J]. RESEARCH IN AUTISM SPECTRUM DISORDERS, 2013, 7 (02) : 298 - 306
  • [43] What the DSM-5 Portends for Research, Diagnosis, and Treatment of Autism Spectrum Disorders
    Saara Mahjouri
    Catherine E. Lord
    [J]. Current Psychiatry Reports, 2012, 14 : 739 - 747
  • [44] What the DSM-5 Portends for Research, Diagnosis, and Treatment of Autism Spectrum Disorders
    Mahjouri, Saara
    Lord, Catherine E.
    [J]. CURRENT PSYCHIATRY REPORTS, 2012, 14 (06) : 739 - 747
  • [45] DSM-5 Autism Spectrum Disorder: In search of essential behaviours for diagnosis (vol 8, pg 701, 2014)
    Carrington, S. J.
    Kent, R. G.
    Maljaars, J.
    Le Couteur, A.
    Gould, J.
    Wing, L.
    Noens, I.
    Van Berckelar-Onnes, I.
    Leekam, S. R.
    [J]. RESEARCH IN AUTISM SPECTRUM DISORDERS, 2020, 78
  • [46] Comparison of DSM-IV and DSM-5 Factor Structure Models for Toddlers With Autism Spectrum Disorder
    Guthrie, Whitney
    Swineford, Lauren B.
    Wetherby, Amy M.
    Lord, Catherine
    [J]. JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY, 2013, 52 (08): : 797 - 805
  • [47] A Prospective Study of the Concordance of DSM-IV and DSM-5 Diagnostic Criteria for Autism Spectrum Disorder
    Micah O. Mazurek
    Frances Lu
    Heather Symecko
    Eric Butter
    Nicole M. Bing
    Rachel J. Hundley
    Marie Poulsen
    Stephen M. Kanne
    Eric A. Macklin
    Benjamin L. Handen
    [J]. Journal of Autism and Developmental Disorders, 2017, 47 : 2783 - 2794
  • [48] A Prospective Study of the Concordance of DSM-IV and DSM-5 Diagnostic Criteria for Autism Spectrum Disorder
    Mazurek, Micah O.
    Lu, Frances
    Symecko, Heather
    Butter, Eric
    Bing, Nicole M.
    Hundley, Rachel J.
    Poulsen, Marie
    Kanne, Stephen M.
    Macklin, Eric A.
    Handen, Benjamin L.
    [J]. JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS, 2017, 47 (09) : 2783 - 2794
  • [49] Autism, females, and the DSM-5: Gender bias in autism diagnosis
    Haney, Jolynn L.
    [J]. SOCIAL WORK IN MENTAL HEALTH, 2016, 14 (04) : 396 - 407
  • [50] Brief Report: Investigating the Implications of Applying the New DSM-5 Criteria for Diagnosing Autism Spectrum Disorder in a Preschool Population in Singapore
    Chui Mae Wong
    Hwan Cui Koh
    [J]. Journal of Autism and Developmental Disorders, 2016, 46 : 3177 - 3182