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Diagnostic Systems for Autism and Pervasive Developmental Disabilities

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Handbook of Autism and Pervasive Developmental Disorder

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Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social interaction and communication, as well as the presence of repetitive and restricted behaviors. There are currently no medical tests to aid in the diagnosis of ASD; instead it is based on purely behavioral presentations. As a result, changes to how ASD is defined can significantly impact the diagnostic process. Three organizations, the American Psychiatric Association (APA), the World Health Organization (WHO), and the National Institute of Mental Health (NIMH), provide classification systems for mental health conditions. While the diagnosis of psychiatric conditions and developmental disabilities may initially seem straightforward, each diagnostic system presents unique approaches and challenges to the classification of psychiatric disorders. The history, aims, strengths, and weaknesses of each classification system will be discussed.

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References

  • Abrahams, B. S., & Geshwind, D. H. (2008). Advances in autism genetics: On the threshold of a new neurobiology. Nature Reviews Genetics, 9, 341–355.

    PubMed  PubMed Central  Google Scholar 

  • American Psychiatric Association. (1994). DSM-IV: Diagnostic and statistical manual of mental disorders. APA.

    Google Scholar 

  • American Psychiatric Association. (1980). DSM-III: Diagnostic and statistical manual of psychiatric disorders. APA.

    Google Scholar 

  • American Psychiatric Association. (1987). DSM-III-R: Diagnostic and statistical manual of mental disorders. APA.

    Google Scholar 

  • American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed.). American Psychiatric Association.

    Google Scholar 

  • American Psychiatric Association. (2009). ICD vs. DSM. Retrieved December 23, 2020 https://www.apa.org/monitor/2009/10/icd-dsm

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Author.

    Google Scholar 

  • Andrews, G., Slade, T., & Issakidis, C. (2002). Deconstructing current comorbidity: Data from the Australian national survey of mental health and well-being. British Journal of Psychiatry, 181(4), 306–314.

    Google Scholar 

  • Barton, M. L., Robins, D. L., Jashar, D., Brennan, L., & Fein, D. (2013). Sensitivity and specificity of proposed DSM-5 criteria for autism spectrum disorder in toddlers. Journal of Autism and Developmental Disorders, 43(5), 1184–1195.

    PubMed  PubMed Central  Google Scholar 

  • Beauchaine, T. P., & Thayer, J. F. (2015). Heart rate variability as a transdiagnostic biomarker of psychopathology. International Journal of Psychophysiology, 98(2), 338–350.

    PubMed  Google Scholar 

  • Beauchaine, T. P., Neuhaus, E., Brenner, S. L., & Gatzke-Kopp, L. (2008). Ten good reasons to consider biological processes in prevention and intervention research. Development and Psychopathology, 20(3), 745–774.

    PubMed  PubMed Central  Google Scholar 

  • Belardinelli, C., Raza, M., & Taneli, T. (2016). Comorbid behavioral problems and psychiatric disorders in autism spectrum disorders. Journal of Childhood and Developmental Disorders, 2(2), 1–9.

    Google Scholar 

  • Cardoso, I. L., & Almeida, S. (2019). Genes involved in the development of autism. International Archives of Communication Disorder, 2(1), 1–9.

    Google Scholar 

  • Centers for Disease Control and Prevention. (2018). Update on ICD-11: The WHO Launch and Implications for U.S. Implementation. Retrieved December 23, 2020 https://www.cdc.gov/nchs/data/icd/ICD-11-WHOV-CM-2018-V3.pdf

  • Centers for Disease Control and Prevention. (2020). Autism spectrum disorder (ASD): Data and statistics. Retrieved June 17, 2020 https://www.cdc.gov/ncbddd/autism/data.html

  • Clark, L. A., Cuthbert, B., Lewis-Fernandez, R., Narrow, W. E., & Reed, G. M. (2017). Three approaches to understanding and classifying mental disorder: ICD-11, DSM-5, and the National Institute of Mental Health’s Research Domain Criteria (RDoC). Psychological Science in the Public Interest, 18(2), 72–145.

    PubMed  Google Scholar 

  • Cooper, R. V. (2013). Avoiding false positives: Zones of rarity, the threshold problem, and the DSM clinical significance criterion. The Canadian Journal of Psychiatry, 58(11), 606–611.

    PubMed  Google Scholar 

  • Cortese, S. (2016). Attention-deficit hyperactivity disorder and autism spectrum disorder. In L. Mazzone & B. Vitiello (Eds.), Psychiatric symptoms and comorbidities in autism spectrum disorders (pp. 79–92). Springer.

    Google Scholar 

  • Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302.

    PubMed  Google Scholar 

  • Cuthbert, B. N. (2014). The RDoC framework: Facilitating transition from ICD/DSM to dimensional approaches that integrate neuroscience and psychopathology. World Psychiatry, 13(1), 28–35.

    PubMed  PubMed Central  Google Scholar 

  • Cuthbert, B. N. (2015). Research domain criteria: Toward future psychiatric nosologies. Dialogues in Clinical Neuroscience, 17(1), 89–97.

    PubMed  PubMed Central  Google Scholar 

  • Dale, R. C., Heyman, I., Giovannoni, G., & Church, A. J. (2005). Incidence of anti-brain antibodies in children with obsessive-compulsive disorder. British Journal of Psychiatry, 187(4), 314–319.

    Google Scholar 

  • Doernberg, E., & Hollander, E. (2016). Neurodevelopmental disorders (ASD and ADHD): DSM-5, ICD-10, and ICD-11. CNS Spectrums, 21(4), 295–299.

    PubMed  Google Scholar 

  • Forbes, M. K., Tackett, J. L., Markon, K. E., & Krueger, R. F. (2016). Beyond comorbidity: Toward a dimensional and hierarchical approach to understanding psychopathology across the lifespan. Development and Psychopathology, 28(4), 971–986.

    PubMed  PubMed Central  Google Scholar 

  • Frances, A. (1980). The DSM-III personality disorders section: A commentary. American Journal of Psychiatry, 137(9), 1050–1054.

    PubMed  Google Scholar 

  • Frances, A. J., & Widiger, T. (2012). Psychiatric diagnosis: Lessons from the DSM-IV past and cautions form the DSM-5 future. Annual Review of Clinical Psychology, 8, 109–130.

    PubMed  Google Scholar 

  • Galatzer-Levy, I. R., & Bryant, R. A. (2013). 636,120 ways to have posttraumatic stress disorder. Perspectives on Psychological Science, 8(6), 651–662.

    PubMed  Google Scholar 

  • Garb, H. N., Lilienfeld, S. O., Nezworski, M. T., Wood, J. M., & O’Donohue, W. T. (2009). Can quality improvement processes help psychological assessment meet the demands of evidence-based practice? Scientific Review of Mental Health Practices, 7(1), 17–25.

    Google Scholar 

  • Gureje, O., Lewis-Fernandez, R., Hall, B. J., & Reed, G. M. (2020). Cultural considerations in the classification of mental disorders: Why and how in the ICD-11. BMC Medicine, 18(25), 1–2.

    Google Scholar 

  • Happe, F. (2011). Criteria, categories, and continua: Autism and related disorders in DSM-5. Journal of the American Academy of Child and Adolescent Psychiatry, 50(6), 540–542.

    PubMed  Google Scholar 

  • Harris, J. (2018). Leo Kanner and autism: A 75-year perspective. International Review of Psychiatry, 30(1), 3–17.

    PubMed  Google Scholar 

  • Haslam, N., Holland, E., & Kuppens, P. (2012). Categories versus dimensions in personality and psychopathology: A quantitative review of taxometric research. Psychological Medicine, 42(5), 903–920.

    PubMed  Google Scholar 

  • Hyman, S. E. (2010). The diagnosis of mental disorders: The problem of reification. Annual Review of Clinical Psychology, 6, 155–179.

    PubMed  Google Scholar 

  • Ibrahim, K., & Sukhodolsky, D. G. (2018). RDoC and autism. In F. R. Volkmar (Ed.), Encyclopedia of autism spectrum disorders. Springer.

    Google Scholar 

  • Insel, T. R. (2014). The NIMH research domain criteria (RDOC) project: Precision medicine for psychiatry. American Journal of Psychiatry, 171(4), 395–397.

    PubMed  Google Scholar 

  • Insel, T.R. (2013). Transforming diagnosis. NIMH Director’s Blog, April 29. http://www.nimh.nih.gov/about/director/2013/transforming-diagnosis.shtml

  • Insel, T. R., Cuthbert, B. N., Garvey, M. A., Heinssen, R. K., Pine, D. S., Quinn, K. L., Sanislow, C., & Wang, P. (2010). Research domain criteria (RDoC): Toward a new classification framework for research on mental disorders. American Journal of Psychiatry, 167(7), 748–751.

    PubMed  Google Scholar 

  • International Advisory Group for the Revision of ICD-10 Mental and Behavioural Disorders. (2011). A conceptual framework for the revision of the ICD-10 classification of mental and behavioural disorders. Official Journal of the World Psychiatric Association, 10(2), 86–92.

    Google Scholar 

  • Kendell, R. (1968). The classification of depressive illness. Oxford University Press.

    Google Scholar 

  • Kendell, R. E. (1989). Clinical validity. Psychological Medicine, 19(1), 45–55.

    PubMed  Google Scholar 

  • Kessler, R. C. (1994). The national comorbidity survey of the United States. International Review of Psychiatry, 6, 365–376.

    Google Scholar 

  • Kessler, R. C., Avenevoli, S., McLaughlin, K. A., Green, J. G., Lakoma, M. D., Petukhova, M., Pine, D. S., Sampson, N. A., Zaslavsky, A. M., & Merikangas, K. R. (2012). Lifetime co-morbidity of DSM-IV disorders in the US national comorbidity survey replication adolescent supplement (NCS-A). Psychological Medicine, 42(9), 1997–2010.

    PubMed  PubMed Central  Google Scholar 

  • Klinger, L. G., Dawson, G., Barnes, K., & Crisler, M. (2014). Autism spectrum disorder. In E. J. Mash & R. A. Barkley (Eds.), Child psychopathology (3rd ed., pp. 531–572). The Guilford Press.

    Google Scholar 

  • Kraemer, H. C., Kupfer, D. J., Narrow, W. E., Clarke, D. E., & Regier, D. A. (2010). Moving toward the DSM-5: The field trials. American Journal of Psychiatry, 167(10), 1158–1160.

    PubMed  Google Scholar 

  • Kulage, K. M., Goldberg, J., Usseglio, J., Romero, D., Bain, J. M., & Smaldone, A. M. (2020). How has DSM-5 affected autism diagnosis? A 5-year follow-up systematic literature review and meta-analysis. Journal of Autism and Developmental Disorders, 50(6), 2102–2127.

    PubMed  Google Scholar 

  • Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (1992). A motivational analysis of emotion: Reflex-cortex connections. Psychological Science, 3(1), 44–49.

    Google Scholar 

  • Lempérière, T. (1995). The importance of classifications in psychiatry. Encephale, 5(21), 3–7.

    Google Scholar 

  • Levy, F. (2014). DSM-5, ICD-11, RDoC, and ADHD diagnosis. Australian and New Zealand Journal of Psychiatry, 48(12), 1163–1169.

    PubMed  Google Scholar 

  • Lilienfeld, S. O., & Treadway, M. T. (2016). Clashing diagnostic approaches: DSM-ICD versus RDoC. Annual Review of Clinical Psychology, 12, 435–463.

    PubMed  PubMed Central  Google Scholar 

  • Lord, C., & Jones, R. M. (2012). Annual research review: Re-thinking the classification of autism spectrum disorders. Journal of Child Psychology and Psychiatry, 53(5), 490–509.

    PubMed  Google Scholar 

  • Mandell, D. S., Wiggins, L. D., Carpenter, L. A., Daniels, J., DiGuiseppi, C., Durkin, M. S., Giarelli, E., Morrier, M. J., Nicholas, J. S., Pinto-Martin, J. A., Shattuck, P. T., Thomas, K. C., Yeargin-Allsopp, M., & Kirby, R. S. (2009). Racial/ethnic disparities in the identification of children with autism spectrum disorders. American Journal of Public Health, 99(3), 493–498.

    PubMed  PubMed Central  Google Scholar 

  • Mandy, W., Charman, T., Puura, K., & Skuse, D. (2014). Investigating the cross-cultural validity of DSM-5 autism spectrum disorder: Evidence from Finnish and UK samples. Autism, 18(1), 45–54.

    PubMed  Google Scholar 

  • Mandy, W. P., Charman, T., & Skuse, D. H. (2012). Testing the construct validity of proposed criteria for DSM-5 autism spectrum disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 51(1), 41–50.

    PubMed  Google Scholar 

  • McPartland, J. C., Reichow, B., & Volkmar, F. R. (2012). Sensitivity and specificity of proposed DSM-5 diagnostic criteria for autism spectrum disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 51(4), 368–383.

    PubMed  PubMed Central  Google Scholar 

  • Miles, J. H. (2011). Autism spectrum disorders—A genetics review. Genetics in Medicine, 13(4), 278–294.

    PubMed  Google Scholar 

  • Morris, S. E., & Cuthbert, B. N. (2012). Research domain criteria: Cognitive systems, neural circuits, and dimensions of behavior. Dialogues Clinical Neuroscience, 14(1), 29–37.

    Google Scholar 

  • National Institute of Mental Health (2015). Research domain criteria (RDoC). Retrieved December 26, 2020 from https://www.nimh.nih.gov/research-priorities/rdoc/index.shtml

  • Ousley, O., & Cermak, T. (2015). Autism spectrum disorder: Defining dimensions and subgroups. Current Developmental Disorders Reports, 1(1), 20–28.

    Google Scholar 

  • Paniagua, F. A. (2018). ICD-10 versus DSM-5 on cultural issues. SAGE Open, 1–14.

    Google Scholar 

  • Peterson, I., Lund, C., & Stein, D. J. (2011). Optimizing mental health services in low-income and middle-income countries. Current Opinion in Psychiatry, 24(4), 318–323.

    Google Scholar 

  • Reed, G. M., Correia, J., Ezparza, P., Saxena, S., & Maj, M. (2011). The WPA-WHO global survey of psychiatrists’ attitudes towards mental health disorders classification. World Psychiatry, 10(2), 118–131.

    PubMed  PubMed Central  Google Scholar 

  • Sharma, S., Woolfson, L. M., & Hunter, S. C. (2012). Confusion and inconsistency in diagnosis of Asperger syndrome: A review of studies from 1981 to 2010. Autism, 16(5), 465–486.

    PubMed  Google Scholar 

  • Smith, G. T., & Combs, J. (2010). Issues of construct validity in psychological diagnoses. In T. Million, R. F. Krueger, & E. Simonsen (Eds.), Contemporary directions in psychopathology: Scientific foundations of the DSM-V and ICD-11 (pp. 205–222). The Guilford Press.

    Google Scholar 

  • Smith, I. C., Reichow, B., & Volkmar, F. R. (2015). The effects of DSM-5 criteria on number of individuals diagnosed with autism spectrum disorder: A systematic review. The Journal of Autism and Developmental Disorders, 45(8), 2541–2552.

    PubMed  Google Scholar 

  • Stadnick, D. M., Chlebowski, C., Baker-Ericzen, M., Dyson, M., Garland, A., & Brookman-Frazee, L. (2017). Psychiatric comorbidity in autism spectrum disorder: Correspondence between mental health clinician report and structured parent interview. Autism, 21(7), 841–851.

    PubMed  Google Scholar 

  • Stefan, S., Cristea, I. A., Tatar, A. S., & David, D. (2019). Cognitive-behavioral therapy (CBT) for generalized anxiety disorder: Contrasting various CBT approaches in a randomized clinical trial. Journal of Clinical Psychology, 75(7), 1188–1202.

    PubMed  Google Scholar 

  • Stein, D. J., Lund, C., & Neese, R. M. (2014). Classification systems in psychiatry: Diagnosis and global mental health in the era of DSM-5 and ICD-11. Current Opinion in Psychiatry, 26(5), 493–497.

    Google Scholar 

  • Stein, D. J., Szatmari, P., Gaebel, W., Berk, M., Vieta, E., Maj, M., de Vries, Y. A., Roest, A. M., de Jonge, P., Maercker, A., Brewin, C. R., Pike, K. M., Grilo, C. M., Fineberg, N. A., Briken, P., Cohen-Kettenis, P. T., & Reed, G. M. (2020). Mental, behavioral and neurodevelopmental disorders in the ICD-11: An international perspective on key changes and controversies. BMC Medicine, 18(21), 1–24.

    Google Scholar 

  • Sturmey, P., & Dalfen, S. (2014). The effects of DSM-5 autism diagnostic criteria on number of individuals diagnosed with autism spectrum disorders: A systematic review. Review Journal of Autism and Developmental Disorders, 1(4), 253–253.

    Google Scholar 

  • Tamimi, S. (2013). No more psychiatric labels: Campaign to abolish psychiatric diagnostic systems such as ICD and DSM (CAPSID). Self and Society, 4(40), 6–14.

    Google Scholar 

  • Tsai, L. (2012). Sensitivity and specificity: DSM-IV versus DSM-5 criteria for autism spectrum disorder. American Journal of Psychiatry, 169(10), 1009–1011.

    PubMed  Google Scholar 

  • Tsuang, M. T., Stone, W. S., & Farone, S. V. (2000). Towards the prevention of schizophrenia. Biological Psychiatry, 48(5), 349–356.

    PubMed  Google Scholar 

  • Tyrer, P. (2014). A comparison of DSM and ICD classifications of mental disorder. Advances in Psychiatric Treatment, 20(4), 280–285.

    Google Scholar 

  • Verhoeff, B. (2013). Autism in flux: A history of the concept from Leo Kanner to DSM-5. History of Psychiatry, 24(4), 442–458.

    PubMed  Google Scholar 

  • Volkmar, F. R., & Klin, A. (2005). Issues in the classification of autism and related conditions. In F. R. Volkmar & A. Klin (Eds.), Handbook of autism and pervasive developmental disorders (pp. 5–41). Wiley.

    Google Scholar 

  • Volkmar, F. R., & McPartland, J. C. (2014). From Kanner to DSM-5: Autism as an evolving diagnostic concept. Annual Review of Clinical Psychology, 10, 193–212.

    PubMed  Google Scholar 

  • Volmar, F. R., & Reichow, B. (2013). Autism in DSM-5: Progress and challenges. Molecular Autism, 4(13), 1–6.

    Google Scholar 

  • Wakefield, J. C. (2013). DSM-5: An overview of changes and controversies. Clinical Social Work Journal, 41, 139–154.

    Google Scholar 

  • Wakefield, J. C. (2016). Diagnostic issues and controversies in DSM-5: Return of the false positives problem. Annual Review of Clinical Psychology, 12, 105–132.

    PubMed  Google Scholar 

  • Waterhouse, L., London, E., & Gillberg, C. (2016). ASD validity. Review Journal of Autism and Developmental Disorders, 3, 302–329.

    Google Scholar 

  • Wesselhoeft, R., Sørensen, M. J., Heiervang, E. R., & Bilenberg, N. (2013). Subthreshold depression in children and adolescents—A systematic review. Journal of Affective Disorders, 151(1), 7–22.

    PubMed  Google Scholar 

  • Westen, D., & Rosenthal, R. (2003). Quantifying construct validity: Two simple measures. Journal of Personality and Social Psychology, 84(3), 608–618.

    PubMed  Google Scholar 

  • World Health Organization. (1967). International statistical classification of diseases, injuries, and causes of death, 8th revision. Switzerland.

    Google Scholar 

  • World Health Organization. (1979). International statistical classification of diseases, injuries, and causes of death, 9th revision. Switzerland.

    Google Scholar 

  • World Health Organization. (1992a). International statistical classification of diseases and related health problems, 10th revision. Switzerland.

    Google Scholar 

  • World Health Organization. (1992b). The ICD-10 classification of mental and behavioural disorders: Clinical descriptions and diagnostic guidelines. Switzerland.

    Google Scholar 

  • World Health Organization. (1993). The ICD-10 classification of mental and behavioural disorders: Diagnostic criteria for research. Switzerland.

    Google Scholar 

  • World Health Organization. International statistical classification of diseases and related health problems (ICD). Retrieved December 17, 2020. https://www.who.int/classifications/classification-of-diseases

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Tevis, C., Matson, J.L., Callahan, M. (2022). Diagnostic Systems for Autism and Pervasive Developmental Disabilities. In: Matson, J.L., Sturmey, P. (eds) Handbook of Autism and Pervasive Developmental Disorder. Autism and Child Psychopathology Series. Springer, Cham. https://doi.org/10.1007/978-3-030-88538-0_10

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