Dificuldade no diagnóstico precoce do Transtorno do Espectro Autista

##plugins.themes.bootstrap3.article.main##

Natália Matos da Silva

Resumo

Objetivo: Analisar a literatura recente quanto as principais dificuldades no diagnóstico precoce do Transtorno do Espectro Autista (TEA). Métodos: Trata-se de revisão integrativa de literatura, realizada na base de dados PubMed, visando responder à pergunta “Quais as principais dificuldades no diagnóstico precoce do TEA?”. Foram pesquisados artigos de estudos clínicos e revisões publicados nos últimos cinco anos na língua inglesa. Resultados: Foram identificados 20 artigos relacionados às principais dificuldades no diagnóstico do TEA, muitos dos quais visando avaliar a eficiência de novos métodos ou técnicas para triagem precoce de TEA. Estes instrumentos diagnósticos compreendem desde marcadores bioquímicos, exames clínicos, como exames de ressonância magnética, e a aplicação de ferramentas como listas de verificação, testes e entrevistas com os pais. Considerações finais: De modo geral, os estudos analisados evidenciam as dificuldades em identificar métodos eficientes para o diagnóstico precoce do TEA, embora existam várias técnicas potencialmente promissoras. A necessidade, portanto, de maiores desenvolvimentos neste campo é um impeditivo para a aplicação destes novos instrumentos de detecção precoce de forma sistemática.

##plugins.themes.bootstrap3.article.details##

Como Citar
SilvaN. M. da. (2022). Dificuldade no diagnóstico precoce do Transtorno do Espectro Autista. Revista Eletrônica Acervo Médico, 16, e11000. https://doi.org/10.25248/reamed.e11000.2022
Seção
Revisão Bibliográfica

Referências

1. BARANEK GT, et al. Cascading effects of attention disengagement and sensory seeking on social symptoms in a community sample of infants at-risk for a future diagnosis of autism spectrum disorder. Developmental Cognitive Neuroscience,2018; 29: 30-40.

2. DELEHANTY A, et al. Exploring message framing to engage parents in early screening for autism spectrum disorder, Patient Education and Counseling, 2020; 103(12): 2525-2531.

3. GREEN J, et al. An integrated early care pathway for autismo. The Lancet Child & Adolescent Health, 2022; 6 (5): 335-344.

4. HAFFNER DN. The Autism Detection in Early Childhood Tool: Level 2 autism spectrum disorder screening in a NICU Follow-up program, Infant Behavior and Development, 2021; 65: 101650.

5. JAMES SN, SMITH CJ. Early Autism Diagnosis in the Primary Care Setting,Seminars in Pediatric Neurology, 2020; 35:100827.

6. JASSIM N, et al. Meta-analytic evidence of differential prefrontal and early sensory cortex activity during non-social sensory perception in autism, Neuroscience & Biobehavioral Reviews, 2021; 127: 146-157.

7. JONES EJH, et al. Eurosibs: Towards robust measurement of infant neurocognitive predictors of autism across Europe, Infant Behavior and Development, 2019; 57: 101316.

8. JOUDAR SS, et al. Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: A systematic review, Computers in Biology and Medicine, 2022; 146: 105553.

9. KALANTARIAN H, et al. Labeling images with facial emotion and the potential for pediatric healthcare, Artificial Intelligence in Medicine, 2019; 98: 77-86,

10. KEEHN RM, et al. Associations Among Referral Concerns, Screening Results, and Diagnostic Outcomes of Young Children Assessed in a Statewide Early Autism Evaluation Network. The Journal of Pediatrics, 2021; 233:74-81.

11. OZONOFF S, et al. Diagnosis of Autism Spectrum Disorder After Age 5 in Children Evaluated Longitudinally Since Infancy, Journal of the American Academy of Child & Adolescent Psychiatry, 2018; 57(11): 849-857.e2.

12. PASCO G. The value of early intervention for children with autismo. Paediatrics and Child Health, 2018; 28 (8): 364-367.

13. PIERCE K, et al. Get SET Early to Identify and Treatment Refer Autism Spectrum Disorder at 1 Year and Discover Factors That Influence Early Diagnosis, The Journal of Pediatrics, 2021; 236: 179-188.

14. SANGARE M, et al. Validation of two parent-reported autism spectrum disorders screening tools M-CHAT-R and SCQ in Bamako, Mali. eNeurologicalSci, 2019; 15: 100188.

15. SHAW KA, et al. Progress and Disparities in Early Identification of Autism Spectrum Disorder: Autism and Developmental Disabilities Monitoring Network, 2002-2016. Journal of the American Academy of Child & Adolescent Psychiatry, 2022; 61 (7): 905-914.

16. STALLWORTHY IC. Variability in Responding to Joint Attention Cues in the First Year is Associated With Autism Outcome, Journal of the American Academy of Child & Adolescent Psychiatry, 2022; 61(3): 413-422.

17. STEINMAN G, IGF - Autism prevention/amelioration. Medical Hypotheses,2019; 122: 45-47.

18. WHITEHOUSE AJO. Pre-emptive intervention versus treatment as usual for infants showing early behavioural risk signs of autism spectrum disorder: a single-blind, randomised controlled trial. The Lancet Child & Adolescent Health, 2019; 3(9): 605-615.

19. WIECKOWSKI AT. Early and Repeated Screening Detects Autism Spectrum Disorder. The Journal of Pediatrics, 2021; 234: 227-235.

20. ZHANG F, ROEYERS H.Exploring brain functions in autism spectrum disorder: A systematic review on functional near-infrared spectroscopy (fNIRS) studies. International Journal of Psychophysiology, 2019; 137: 41-53.