Clinical Presentation and Histologic Findings at Ileocolonoscopy in Children with Autistic Spectrum Disorder and Chronic Gastrointestinal Symptoms

2010 ◽  
pp. 1
Author(s):  
Stott
Keyword(s):  
Autistic Spectrum Disorder ◽  
Clinical Presentation ◽  
Gastrointestinal Symptoms ◽  
Spectrum Disorder ◽  
Autistic Spectrum

scholarly journals The autistic spectrum disorder and its relation to intestinal dysbiosis

2021 ◽  
Author(s):  
Fábio Dias Nogueira ◽  
Ana Klara Rodrigues Alves ◽  
Barbara Beatriz Lira da Silva ◽  
Ana Kamila Rodrigues Alves ◽  
Marlilia Moura Coelho Sousa ◽  
...  
Keyword(s):  
Intestinal Microbiota ◽  
Autistic Spectrum Disorder ◽  
Neurodevelopmental Disorder ◽  
Clinical Manifestations ◽  
Gastrointestinal Symptoms ◽  
Spectrum Disorder ◽  
Autistic Spectrum ◽  
Children With Asd ◽  
Intestinal Dysbiosis ◽  
The Relationship

Introduction: Autistic Spectrum Disorder (ASD) is characterized by a neurodevelopmental disorder, in which the child has persistent deficits in verbal and / or non-verbal communication, social interaction and behavior. One of the factors related to the cause of ASD are nutritional aspects, such as intestinal dysbiosis. Objective: To analyze the relationship between imbalance in the intestinal microbiota and the pathophysiological characteristics of ASD. Methodology: This is a systematic review, carried out in the Pubmed, SciELO databases, in order to answer the question: what is the relationship between intestinal microbiota imbalance and ASD? 139 articles were found, of which 12 were selected, through the simultaneous crossing between the descriptors “Autistic Disorder”, “Dysbiosis”. Articles written in Portuguese and English published from 2016 to 2021 were inserted. Results/Discussion: Most children with ASD exhibit gastrointestinal symptoms, such as constipation and diarrhea, and greater intestinal permeability, with major differences in the composition of microorganisms in the gastrointestinal tract (GIT). Patients with ASD have a lower microbiota diversity in the GIT. However, it is not possible to identify the origin of this change, since children with ASD often have changes in diet and eating behavior, which could alter the microbiota. Conclusion: It is still complex to understand what are the main causes of ASD. The gut-brain axis is an important associated factor both in the etiology and in the clinical manifestations of ASD. The use of diets, together with the modulation of the microbiota, by the use of probiotics and specific antibiotics, are possibilities for promising therapy.

scholarly journals Specific Carbohydrate Diet (SCD/GAPS) and Dietary Supplements for Children with Autistic Spectrum Disorder

2021 ◽  
Vol 75 (6) ◽  
pp. 417-425
Author(s):  
Silvija Ābele ◽  
Laila Meija ◽  
Valdis Folkmanis ◽  
Lilian Tzivian
Keyword(s):  
Dietary Supplements ◽  
Autistic Spectrum Disorder ◽  
Essential Fatty Acids ◽  
Intervention Group ◽  
Gastrointestinal Symptoms ◽  
Spectrum Disorder ◽  
Control Group ◽  
Carbohydrate Diet ◽  
Autistic Spectrum ◽  
Specific Carbohydrate Diet

Abstract The objective of the study was to investigate the potential of a specific carbohydrate diet and selected dietary supplements in reducing some autistic spectrum disorder (ASD) symptoms in children. This was a quantitative, non-blinded, non-randomised three-month pilot study of a dietary and nutritional intervention. The study participants were 17 children from Latvia and the United Kingdom with a diagnosis of ASD or autistic symptoms waiting to be diagnosed (intervention group n = 10, control group n = 7). The intervention group received a specific carbohydrate dietary plan — Specific Carbohydrate Diet / Gut and Psychology Syndrome diet (SCD/GAPS) — and a few dietary supplements (omega-3 essential fatty acids, ascorbyl-palmitate, probiotics, vitamin D, and vitamin C). Family compliance to the dietary guidelines was 40–80%. Autistic and digestive symptoms were evaluated by parents using validated questionnaires. By the end of the study, gastrointestinal symptoms decreased in both groups (p = 0.01 for the intervention group, p = 0.02 for the control group), especially abdominal pain and bloating. The Overall Autism Treatment Evaluation Checklist (ATEC) score decreased by 23% in the intervention group (p = 0.05), with the largest improvement in Socialising (p = 0.03) and Health/Behaviour (p = 0.02) aspects. The Aberrant Behaviour Checklist (ABC) score decreased by 29% in the intervention group (p = 0.01), with the largest improvement in Irritability (p < 0.01) and Hyperactivity (p = 0.02) subcategories. Overall Parent Global Impressions — Revised-2 (PGI-2) evaluation showed a 43% improvement in the intervention group in comparison to 14% in the control group, p = 0.02. The specific carbohydrate diet (SCD/GAPS) and supplements were found to be a safe and effective approach for reducing some symptoms of ASD in children.

PERMODELAN PREDIKTIF AUTISTIC SPECTRUM DISORDER DENGAN ALGORITMA C.45

2018 ◽  
Vol 15 (2) ◽  
pp. 99
Author(s):  
Oktafian Farhan ◽  
Agus Subekti
Keyword(s):  
Autistic Spectrum Disorder ◽  
Spectrum Disorder ◽  
Data Set ◽  
Autistic Spectrum

Autisme merupakan disabilitas perkembangan yang dialami sepanjang hidup penderita Autistic Spectrum Disorder (ASD). Semakin cepat ditangani, semakin besar kemungkinan anak akan kembali normal. Untuk alasan ini, diperlukan metode baru yang dapat membantu orang tua dengan cepat mengenali gejala autisme pada anak-anak mereka. Dalam studi sebelumnya yang dilakukan oleh Fadi Fayez Tabhtah, suatu data set dihasilkan untuk mendeteksi apakah seorang anak memiliki autisme atau tidak. Tetapi penelitiannya hanya menghasilkan data set, ia tidak memeriksa lebih lanjut dimana algoritma cocok untuk data set yang telah dihasilkan. Atribut data set ternyata memiliki nilai yang salah, yang mengundang pertanyaan tentang keakurasian data. Dalam penelitian ini peneliti menggunakan metode CRISP-DM dan menguji keakuratan data set penelitian sebelumnya menggunakan algoritma C.45. Selanjutnya, aplikasi WEKA menggunakan pemilihan fitur dan pengaruh dari nilai yang salah untuk setiap atribut dan menemukan atribut yang paling signifikan. Atribut-atribut ini kemudian diuji dengan algoritma C.45 sehingga model prediksi dari data set diperoleh. Atribut A6 dari perhitungan pohon keputusan tidak muncul sama sekali sebagai cabang. Sebuah model baru diperoleh di mana atribut A6 dihilangkan, sehingga ketika diukur oleh algoritma C.45, nilai akurasi yang lebih baik diperoleh. Hasil model baru kemudian diuji pada data kuesioner baru, yang menghasilkan prediksi yang tepat.

Alzheimer's Disease and Autistic Spectrum Disorder: Is there any Association?

2016 ◽  
Vol 15 (4) ◽  
pp. 390-402 ◽  
Author(s):  
Sarah A. Khan ◽  
Shahida A. Khan ◽  
A.R. Narendra ◽  
Gohar Mushtaq ◽  
Solafa A. Zahran ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Autistic Spectrum Disorder ◽  
Spectrum Disorder ◽  
Autistic Spectrum

scholarly journals Quality of Life in Caregivers of Children and Adolescents with Autistic Spectrum Disorder: Development and Validation of the Questionnaire

2021 ◽  
Vol 11 (7) ◽  
pp. 924
Author(s):  
Claudia B. Pratesi ◽  
Alessandra Baeza Garcia ◽  
Riccardo Pratesi ◽  
Lenora Gandolfi ◽  
Mariana Hecht ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Health ◽  
Children And Adolescents ◽  
Internal Consistency ◽  
Autistic Spectrum Disorder ◽  
Spectrum Disorder ◽  
Autistic Spectrum ◽  
The Social ◽  
Health Domains

Studies have shown that children and adolescents with autism and their relatives present a high level of stress and more family problems, impacting parents’ and caregivers’ quality of life (QoL). Despite studies on this subject, there is no specific questionnaire to evaluate QoL in parents or caregivers of children and adolescents with an autistic spectrum disorder (ASD) in Brazil. Therefore, this study’s primary purpose was to develop and validate a specific questionnaire to evaluate QoL in these individuals. The study was performed using the following steps: development of the ASD Parent/caregiver QoL questionnaire (autistic spectrum disorder parent/caregiver quality of life—ASDPC-QoL), subjective evaluation, validation of the questionnaire by the Delphi method, assessment of internal consistency, responsiveness, and reliability of the ASLPC-QoL, and administration of the questionnaire to 881 Brazilian ASD caregivers or parents. ASDPC-QoL comprises 28 questions divided into four domains (social, concerns, physical and mental health) with good psychometric properties (reproducibility, reliability, internal consistency, responsiveness, and validity). Our data showed that worries and physical health were the domains with the lowest scores in ASDPCA-QoL. ASDPCA-QoL did not differ among gender and age of child considering the total and all domains. Older participants (≥41 y/o) presented the best scores for social and worries domains but did not differ in other domains and the total. Parents or caregivers of ASD children diagnosed for more than three years have better mental and physical health domains than those recently diagnosed (up to 1 year) but did not differ in the total and other domains. Individuals with a partner and with the highest educational level present the best score for the social domain. Employed individuals showed better scores than unemployed ones for all domains and the total, except for worries, which did not differ. It also occurred comparing the individuals that do not use antidepressants and the ones that use them. Assessing and better understanding the QoL of caregivers is highly relevant. By understanding the social, worries, physical, and emotional health domains of caregivers, it is possible to track harmful aspects, prevent and treat pathologies, in addition to assisting in the implementation of effective public policies.

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