medigraphic.com
SPANISH

Salud Mental

ISSN 0185-3325 (Print)
Órgano Oficial del Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz
  • Contents
  • View Archive
  • Information
    • General Information        
    • Directory
  • Publish
    • Instructions for authors        
  • medigraphic.com
    • Home
    • Journals index            
    • Register / Login
  • Mi perfil

2008, Number 1

<< Back Next >>

Salud Mental 2008; 31 (1)

Dificultades en la evaluación y diagnóstico del autismo. Una discusión

Albores-Gallo L, Hernández-Guzmán L, Díaz-Pichardo JA, Cortes-Hernández B
Full text How to cite this article

Language: Spanish
References: 37
Page: 37-44
PDF size: 67.12 Kb.


Key words:

Autism, Asperger, pervasive developmental disorders not otherwise specified (PDD-NOS), instruments, assessment.

ABSTRACT

The detection of autism is very important because the lack of recognition of this disorder has elevated costs for the families, health care and education providers. Diagnosis is made frequently four or five years after parents notice the first signs. The reasons for this delay are many, but a common one is the lack of recognition of key symptoms that can lead to a more complex diagnosis assessment.
Another reason is that screening and diagnostic instruments are not well known by primary caregivers in health and education systems, as these professionals are the first to hear parents’ concerns. Moreover the instruments are not well known because the cost of acquiring them and receiving formal training is very high. The need to make comparable assumptions of this complex disorder makes it important to use the same instruments as other countries.
Growing efforts for an early recognition have been made in recent years because early intervention programs benefit children with autism. In the last decade, important advances in the design of diagnostic and screening instruments have been made. These tools have primarily been used for clinical, epidemiological or research uses. In some countries their use has become routine in schools, leading to better detection and increasing prevalence rates of autism. Misdiagnosis is not uncommon in autism. Almost 60% of children with Asperger disorder first receive an erroneous diagnosis of attention deficit disorder, oppositionistic or bipolar disorder.
Autism presents with a bizarre clinical picture during the years in which many thought it was untestable. Gradual characterization of behaviors and studying different aspects of the symptomatology had led to a better comprehension and descriptions. Most authors have incorporated this knowledge to design reliable instruments. The most common behaviors explored are: protodeclarative pointing, joint attention, repetitive/ stereotyped movements and absence of characteristic symbolic play. This target behavior can be explored through the diverse rating scales and interviews.
The instruments are very diverse and varing form. There are rating scales for parents to record their children symptoms and observation schedules to be completed by a clinician or trained professional for that purpose. The best approach is to combine modalities to include as much information as possible.
CHAT (Checklist for Autism in Toddlers) is a brief screening instrument intended to detect autism in toddlers. The first part consists of nine questions for parents to complete, while the second part is an observation schedule with five brief age-appropriate interactions with the children. This instrument is an important antecedent of more sophisticated and expanded play observation schedules.
Checklist for Autism in Toddlers Modified (CHAT M) is a modified version which consists of an expansion of the parent questionnaire by eliminating the observational section.
The Childhood Autism Rating Scale (CARS) is another instrument which assesses the severity of autism. This instrument is rated by clinicians or by trained observers. CARS was designed before DSM IV criteria were published so it does not contain an algorithm to distinguish between different developmental problems. In spite of this limitation, it is the most used rating scale for autism diagnosis. The Child Behavior Checklist (CBCL/1.5-5) is a broad band rating scale which evaluates psychopathology of children between 18 months and five years old. It has a DSM oriented subscale to evaluate developmental problems such as autism or Asperger disorder. It also contains a withdrawn subscale which has proven to be useful as demonstrated by some studies done with the CBCL/4-18. This instrument also allows assessing other associated problems common in autistic children such as attention problems, depression and anxiety. The Language Developmental Survey (LDS) associated to this rating scale, gives the opportunity to screen vocabulary for the identification of language delays, which are common in children with pervasive developmental disorders.
It was necessary to have more structured instruments to diagnose autism and not only for screening purposes, so in 1989 the first diagnostic interview was published. The instrument has gone through an extensive review and creative process which has led to the most important tools for diagnosing autism in adults and children.
The Autism Diagnostic Interview (ADI) was published in 1989 and correlated to the ICD-10 definition of autism. The original ADI was intended primarily for research purposes, providing behavioral assessment for subjects with a chronological age of at least five years and a mental age of at least two years. The ADI explores three key domains defining autism: (1) reciprocal social interaction, (2) communication and language, and (3) repetitive, stereotyped behaviors.
The Autism Diagnostic Interview Revised ADI-R is a semi/standardizer interview shorter than the ADI, which has been developed for clinical use. It is more appropriate for younger children than the ADI. The ADI-R takes from 2 to 3 hours to administer and can be used with children as young as two years of age (with a mental age greater than 18 months). It explores information about the child functioning in the present and the past. It contains an algorithm


REFERENCES

  1. Achenbach TM, Rescorla LA. Manual for Aseba Preschool Forms & Profiles. Burlington VT, University of Vermont, Research Center for Children, Youth & Families; 2000.

  2. American Psychiatric Association. Diagnostic and statistical manual of mental disorders (DSM-II). Washington DC: American Psychiatric Association; 1968.

  3. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM-III) Washington DC: American Psychiatric Association; 1980.

  4. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM III-R). Washington, DC: American Psychiatric Press; 1987.

  5. American Psychiatric Association. Diagnostic and statistical manual of mental disorders (DSM-IV). Washington, DC: American Psychiatric Press; 1994.

  6. American Psychiatric Association. Diagnostic and statistical manual of mental disorders (DSM-IV-TR). Washington, DC: American Psychiatric Press; 2000.

  7. Asperger H, (1944/1991). Die «autistischen Psychopathen» in Kindesalter. Archive fur Psychiatrie und Nervenkrankheiten, 117, 76-136. Translated by U. Frith (Ed.). Autism and Asperger syndrome. Cambridge: Cambridge University, 1991.

  8. Heller T. ‘Uber dementia infantalis.’ Zeitschrift fur Kinderforschung 1930;37:661-667.

  9. Baron-Cohen S. Can autism be detected at 18 months? The needle, the haystack, and the CHAT. Br J Psychiatry 1992;16:839-843.

  10. Baron-Cohen S, Cox A, Baird, G Swettenham J, Nightingale N, Morgan K, Drew A, Charman T. Psychological markers in the detection of autism in infancy in a large population. Br J Psychiatry 1996;168:158-163.

  11. Charman T, Baird G. Practitioner Review: Diagnosis of autism spectrum, disorder in 2- and 3-year-old children. J Child Psychol Psychiatry 2002;43:289-305.

  12. Dilavore PC, Lord C, Rutter M. The pre-linguistic autism diagnostic observation schedule. J Autism Dev Disord 1995;25(4):355-379.

  13. Fombonne E. Epidemiology of autistic disorders and other pervasive developmental disorders. J Clin Psychiatry 2005;66(10):3-8.

  14. Jacobson J, Mulick J, Green G. Cost-benefit estimates for early intensive behavioral intervention for young children with autism—general model and single state case. Behav Interventions 1998;13:201-226.

  15. Jacobson J, Mulick J. System and cost research issues in treatments for people with autistic disorders. J Autism Dev Disord 2000;30:585-593.

  16. Jarbrink K, Knapp M. The economic impact of autism in Britain. Autism 2001;5(1):7-22.

  17. Klinger L. Performance-based measures in autism: implications for diagnosis, early detection, and identification of cognitive profiles. J Clin Child Psychol 2000;29:479-492.

  18. Kanner L. Autistic disturbances of affective contact. Nervous Child 1943; 2:217.

  19. Lord C. Autism Diagnostic Interview-Revised: a revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. J Autism Dev Disord 1994;24(5):659-685.

  20. Lord C, Risi S, Lambrecht L, Cook EH Jr, Leventhal Bl, Dilavore PC, Pickles A, Rutter M. Autism Diagnostic Observation Schedule ADOS Manual. USA: Western Psychological Services; 1999.

  21. Lord C, Rutter M, Goode S, Heemsbergen J, Jordan H, Mawhood L, Schopler E. Autism diagnostic observation schedule: a standardized observation of communicative and social behavior. J Autism Dev Disord 1989;19(2):185-212.

  22. Lord C, Risi S, Lambrecht L, Cook EH, Leventhal BL, Dilavore PC, Pickles A, Rutter M (2000). The autism diagnostic observation schedule-generic: A standard measure of social and communicative deficits associated with the spectrum of autism. J Autism Dev Disord 2000;30:205-223.

  23. Mandell DS, Novak M, Zubritsky CD. Factors associated with age of diagnosis among children with autism spectrum disorders. Pediatrics 2005;116(6): 1480-1486.

  24. Mottron L. Matching strategies in cognitive research with individuals with high-functioning autism: current practices, instrument biases, and recommendations. J Autism Dev Disord 2004;34:19-27.

  25. Myhr G. Autism and Other Pervasive Developmental Disorders: Exploring the Dimensional View. Can J Psychiatry 1998;43:589-595.

  26. Olsson BO, Rett A. Autism and Rett syndrome: behavioral investigations and differential. Developmental Medicine & Child Neurology 1987;29:429- 441.

  27. Robins DL, Fein D, Barton ML, Green JA. The modified Checklist for Autism in Toddlers: an initial study investigating the early detection of autism and pervasive developmental disorders. J Autism Dev Disord 2001;31(2):131-144.

  28. Schopler E, Reichler RJ, Devellis RF, Daly K. Toward objective classification of childhood autism: Childhood Autism Rating Scale (CARS). J Autism Dev Disord 1980;10:91–103.

  29. Schopler E, Reichler RJ, Devellis RF, Daly K. The childhood autism rating scale. Los Angeles: Western Psychological Services; 1988.

  30. Tsai LY. Rett’s syndrome: a subtype of pervasive developmental disorder? In: DSM-IV Sourcebook, Vol 3; 1997.

  31. van Acker R. Rett’s syndrome. In: Handbook of Autism and Pervasive Developmental Disorders. 2nd ed. Cohen DJ, Volkmar FR eds. New York: Wiley; 1997. pp 60-93.

  32. Volkmar FR, Cohen DJ. Disintegrative disorder or «late onset» autism. J Child Psychol Psychiatry 1989;30:717-724.

  33. Volkmar FR, Klin A, Marans W, Cohen DJ. Childhood disintegrative disorder. In: Handbook of Autism and Pervasive Developmental Disorders. 2nd ed. Cohen DJ, Volkmar FR., eds. New York: Wiley; 1997. pp 47-59.

  34. Volkmar FR, Shaffer D, First M. PDD-NOS in DSM-IV. J Autism Dev Disord 2000;30(1):74-75.

  35. Waterhouse L, Wing L, Spitzer R, Siegel B. Pervasive developmental disorders: from DSM-III to DSM-III-R. J Autism Dev Disord 1992;22:525–549.

  36. WHO. The ICD-10 classification of mental and behavioural disorders: clinical descriptions and diagnostic guidelines. Geneva: WHO; 1992.

  37. Wing L. Asperger’s syndrome: clinical account. Psychol Medicine 1981;11: 115-129.




2020     |     www.medigraphic.com

Mi perfil

C?MO CITAR (Vancouver)

Salud Mental. 2008;31