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Query: UMLS:C0004352 (autism)
 32,579 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Autism spectrum disorders (ASDs), which include the prototypic autistic disorder (AD), Asperger's syndrome (AS) and pervasive developmental disorders not otherwise specified (PDD-NOS), are complex neurodevelopmental conditions of unknown aetiology. The current study investigated the metabolites in the methionine cycle, the transsulphuration pathway, folate, vitamin B(12) and the C677T polymorphism of the MTHFR gene in three groups of children diagnosed with AD (n= 15), AS (n= 5) and PDD-NOS (n= 19) and their age- and sex-matched controls (n= 25). No metabolic disturbances were seen in the AS patients, while in the AD and PDD-NOS groups, lower plasma levels of methionine (P= 0.01 and P= 0.03, respectively) and alpha-aminobutyrate were observed (P= 0.01 and P= 0.001, respectively). Only in the AD group, plasma cysteine (P= 0.02) and total blood glutathione (P= 0.02) were found to be reduced. Although there was a trend towards lower levels of serine, glycine, N, N-dimethylglycine in AD patients, the plasma levels of these metabolites as well as the levels of homocysteine and cystathionine were not statistically different in any of the ASDs groups. The serum levels of vitamin B(12) and folate were in the normal range. The results of the MTHFR gene analysis showed a normal distribution of the C677T polymorphism in children with ASDs, but the frequency of the 677T allele was slightly more prevalent in AD patients. Our study indicates a possible role for the alterations in one carbon metabolism in the pathophysiology of ASDs and provides, for the first time, preliminary evidence for metabolic and genetic differences between clinical subtypes of ASDs.
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PMID:One carbon metabolism disturbances and the C677T MTHFR gene polymorphism in children with autism spectrum disorders. 1926 85

The frequency of zinc deficiency, copper toxicity and low zinc/copper in children with autism spectrum disorders (ASDs) may indicate decrement in metallothionein system functioning. A retrospective review of plasma zinc, serum copper and zinc/copper was performed on data from 230 children with autistic disorder, pervasive developmental disorder-NOS and Asperger's syndrome. The entire cohort's mean zinc level was 77.2 microg dl(-1), mean copper level was 131.5 microg dl(-1), and mean Zn/Cu was 0.608, which was below the 0.7 cut-off of the lowest 2.5% of healthy children. The plasma zinc/serum copper ratio may be a biomarker of heavy metal, particularly mercury, toxicity in children with ASDs.
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PMID:The plasma zinc/serum copper ratio as a biomarker in children with autism spectrum disorders. 1928 Mar 74

We analyzed predictors of parent-reported initial diagnosis (autistic disorder [AD], pervasive developmental disorder-not otherwise specified [PDD-NOS], pervasive developmental disorder ['PDD'] and autism spectrum disorder ['ASD'], and Asperger syndrome [AS]), among 6,176 individuals with autism spectrum disorders diagnosed from 1994 through 2007. Overall, distribution of diagnoses was influenced by a secular time trend factor; other significant factors included ethnicity, white race, geographic location, urbanicity, and initial evaluator. Since 2001, most initial diagnoses of AD and AS have remained steady while 'PDD' and PDD-NOS have decreased. 'ASD' diagnoses have increased, especially among school-based teams; AS diagnoses also increased uniquely among these evaluators. Findings from this study suggest that current diagnostic guidelines may not be meeting all community evaluator needs.
J Autism Dev Disord 2009 Aug
PMID:Trends in autism spectrum disorder diagnoses: 1994-2007. 1929 98

To examine the inter-rater reliability and stability of autism spectrum disorder (ASD) diagnoses made at a very early age in children identified through a screening procedure around 14 months of age. In a prospective design, preschoolers were recruited from a screening study for ASD. The inter-rater reliability of the diagnosis of ASD was measured through an independent assessment of a randomly selected subsample of 38 patients by two other psychiatrists. The diagnoses at 23 months and 42 months of 131 patients, based on the clinical assessment and the diagnostic classifications of standardised instruments, were compared to evaluate stability of the diagnosis of ASD. Inter-rater reliability on a diagnosis of ASD versus non-ASD at 23 months was 87% with a weighted kappa of 0.74 (SE 0.11). The stability of the different diagnoses in the autism spectrum was 63% for autistic disorder, 54% for pervasive developmental disorder, not otherwise specified (PDD-NOS), and 91% for the whole category of ASD. Most diagnostic changes at 42 months were within the autism spectrum from autistic disorder to PDD-NOS and were mainly due to diminished symptom severity. Children who moved outside the ASD category at 42 months made significantly larger gains in cognitive and language skills than children with a stable ASD diagnosis. In conclusion, the inter-rater reliability and stability of the diagnoses of ASD established at 23 months in this population-based sample of very young children are good.
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PMID:Inter-rater reliability and stability of diagnoses of autism spectrum disorder in children identified through screening at a very young age. 1942 28

Autism Spectrum Disorders are a class of conditions categorized by communication problems, ritualistic behaviors, and deficits in social behaviors. While evidence supporting a genetic component of Autism Spectrum Disorders (ASDs) is strong, no specific genetic marker has been identified. Thus, professionals have had to utilize intelligence tests and measures of adaptive functioning to aid in the diagnosis of individuals with ASD. The present study aimed to isolate specific differences in adaptive functioning in adults with ASD. Two hundred and thirty-four adults with ASD (Autism Spectrum Disorder) or Pervasive Developmental Disorder-Not Otherwise Specified (PDD-NOS) and intellectual disabilities (IDs) were evaluated with respect to the nature and extent of their independent living skill functioning. The implications of these data for more fully describing and diagnosing autism and PDD-NOS in adults are discussed.
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PMID:The effect of Autism Spectrum Disorders on adaptive independent living skills in adults with severe intellectual disability. 1945 Sep 50

Adaptive social skills were assessed longitudinally at approximately ages 2, 3, 5, 9, and 13 years in a sample of 192 children with a clinical diagnosis of autism (n = 93), PDD-NOS (n = 51), or nonspectrum developmental disabilities (n = 46) at age 2. Growth curve analyses with SAS proc mixed were used to analyze social trajectories over time. Both individual characteristics and environmental resources emerged as key predictors of adaptive social behavior outcome. The gap between children with autism and the other two diagnostic groups widened with time as the social skills of the latter groups improved at a higher rate. However, within diagnostic groups, improvement ranged from minimal to very dramatic. Children with autism most at risk for problems with social adaptive abilities later in life can be identified with considerable accuracy at a very young age so they can be targeted for appropriate early intervention services.
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PMID:Patterns of growth in adaptive social abilities among children with autism spectrum disorders. 1952 62

Autism spectrum disorders (ASD) are a group of developmental neuropsychiatric disorders, comprised of three diagnostic entities - autistic disorder (AD), Asperger's disorder (AS), and Pervasive Developmental Disorder Not Otherwise Specified (including atypical autism) (PDD-NOS). A number of intervention techniques are currently used to reduce some of the associated challenges, with techniques ranging from behavioral therapy to dietary interventions and traditional counseling. This positional paper proposes the use of video games which leverage affective computing technologies as intervention in autism spectrum disorders in the context of the use of traditional play therapy with adolescents, who may feel uncomfortable engaging in traditional play with toys they may be too old for. It aims to explore the potential for greater 'social physics' made possible by affective computing technologies. This involves computationally 'recognizing' emotions in a user, often through the use of multimodal affective sensors, including facial expressions, postural shifts, and physiological signals such as heart rate, skin conductivity, and EEG signals. However, it is suggested that this should be augmented by researching the effect of social game design mechanisms on social-emotional development, particularly for those who experience difficulty with social interaction.
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PMID:Designing affective video games to support the social-emotional development of teenagers with autism spectrum disorders. 1959 26

Quantitative variations in score profiles from the parent version of the PDD Behavior Inventory (PDDBI) were examined in young Autism and PDD-NOS groups defined by ADOS-G and ADI-R criteria, relative to a not spectrum (NS) group of similar age. Both the Autism and the PDD-NOS group profiles markedly differed from the NS group. The most sensitive measures of group differences were those domain and composite scores that assessed social communication competence, as well as the overall Autism Composite score. Sensitivity, specificity and positive and negative predictability measures were quite good for these measures. It was concluded that the PDDBI is useful in assisting in the differential diagnosis of autism spectrum disorder.
J Autism Dev Disord 2010 Feb
PMID:Parent PDD behavior inventory profiles of young children classified according to autism diagnostic observation schedule-generic and autism diagnostic interview-revised criteria. 1972 65

The present study examined intake data from 384 participants with autism spectrum disorders (ASD) and a comparison group of 100 participants with dyslexia on nine standardized measures of decoding and comprehension. Although diagnostic groups were based on parental reports and could not be verified independently, we were able to observe significant distinctions between subject groups. Overall findings confirm previous results of a disassociation between decoding and comprehension in ASD. Using a larger sample than previous studies and a greater variety of measures, a pattern of relatively intact decoding skills paired with low comprehension was found in autism, PDD-NOS, and Asperger's. In contrast, the dyslexic group showed the opposite pattern of stronger comprehension and weaker decoding.
J Autism Dev Disord 2010 Apr
PMID:A Comprehensive Profile of Decoding and Comprehension in Autism Spectrum Disorders. 1991 68

This study investigated the childhood autism rating scale (CARS) as a tool for ASD diagnoses for 2-year-old (n = 376) and 4-year-old (n = 230) children referred for possible autism. The cut-off score to distinguish autistic disorder from PDD-NOS was 32 in the 2-year-old sample (consistent with Lord in J Child Psychol Psychiatry Allied Discipl, 36, 1365-1382, 1995), and 30 in the 4-year-old sample, with good sensitivity and specificity at both ages. The cut-off score to distinguish ASD from non-ASD at both ages was 25.5, with good sensitivity and specificity. Results confirm the utility of the CARS in distinguishing autistic disorder from PDD-NOS, and distinguishing ASD from other developmental disorders and typical development and suggest that an ASD cutoff around 25, which is in common clinical use, is valid.
J Autism Dev Disord 2010 Jul
PMID:Using the childhood autism rating scale to diagnose autism spectrum disorders. 2005 30


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