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

Autism, a severe disorder of development, is difficult to detect in very young children. However, children who receive early intervention have improved long-term prognoses. The Modified Checklist for Autism in Toddlers (M-CHAT), consisting of 23 yes/no items, was used to screen 1,293 children. Of the 58 children given a diagnostic/developmental evaluation, 39 were diagnosed with a disorder on the autism spectrum. Six items pertaining to social relatedness and communication were found to have the best discriminability between children diagnosed with and without autism/PDD. Cutoff scores were created for the best items and the total checklist. Results indicate that the M-CHAT is a promising instrument for the early detection of autism.
J Autism Dev Disord 2001 Apr
PMID:The Modified Checklist for Autism in Toddlers: an initial study investigating the early detection of autism and pervasive developmental disorders. 1145 Aug 13

Thirty-five children who received an autism spectrum diagnosis at the age of 2 years (24 with autism, 11 with PDD-NOS) were re-evaluated 2 years later to examine factors related to the development of spoken language. Child variables (play level, motor imitation ability and joint attention) and environmental variables (socioeconomic status and hours of speech/language therapy between ages 2 and 3) were used to predict an aggregate measure of language outcome at age 4. After controlling for age 2 language skills, the only significant predictors were motor imitation and number of hours of speech/language therapy. Implications of these results for understanding the early developmental course of autism spectrum disorders and the effects of intervention are discussed.
Autism 2001 Dec
PMID:Predicting spoken language level in children with autism spectrum disorders. 1177 53

This study examined predictors of developmental outcomes in 17 children diagnosed with autism or PDD-NOS, who received generic treatment over a mean period of 37 months. Pre-treatment evaluations occurred at a mean age of 31 months with follow-up evaluations at a mean age of 69 months. Significantly different developmental trajectories were observed among the participants at follow-up, separating the participants into two distinct groups (high and low outcome). However, groups did not differ significantly in treatment intensity or other outcome prediction measures. Pre-treatment developmental intelligence levels between the two groups approached significance. The results raise questions regarding the effect of treatment intensity and type, family stress factors, and intelligence ability in very early childhood on, outcome.
Autism 2001 Dec
PMID:Predictors of treatment outcome in young children with autism: a retrospective study. 1177 57

Some children with autism and pervasive developmental disorder-not otherwise specified (PDD-NOS) have been reported to have atypical feeding behavior, such as sensitivity to food texture and selective preferences for particular foods. No systematic studies of feeding behavior in this population have been published. Munk and Repp (1994) developed methods for assessing feeding problems in individuals with cognitive and physical disabilities that allow categorization of individual feeding patterns based on responses to repeated presentations of food. In this study, we systematically replicated the Munk and Repp procedures with children with autism and PDD-NOS. Thirty children, ages 3 to 14 years, were exposed to 12 food items across 6 sessions. Food acceptance, food expulsion, and disruptive behavior were recorded on a trial-by-trial basis. Approximately half of the participants exhibited patterns of food acceptance, indicating selectivity by food category or food texture. Others consistently accepted or rejected items across food categories. Whether these patterns of food acceptance are atypical remains to be determined by comparison with the feeding patterns of typically developing children and other children with developmental delays.
J Autism Dev Disord 2001 Oct
PMID:An assessment of food acceptance in children with autism or pervasive developmental disorder-not otherwise specified. 1179 15

The prevalence of childhood disintegrative disorder (CDD) is unknown. In this study, 32 epidemiological surveys of autism and pervasive developmental disorders published in English language journals since 1966 were reviewed. Four surveys yielded estimates for CDD ranging from 1.1 to 6.4 per 100,000 subjects. A pooled estimate across these four surveys is 1.7 per 100,000 (95 percent Confidence Interval: 0.6-3.8 per 100,000). The conclusion is that CDD is very rare and its prevalence is 60 times less than that for autistic disorder, assuming a prevalence of 10 per 10,000 for autism. If a rate of 30 per 10,000 is taken for all PDDs, only one child out of 175 children with a PDD diagnosis would, on average, meet criteria for CDD.
Autism 2002 Jun
PMID:Prevalence of childhood disintegrative disorder. 1208 81

This study explored the relation of severity of functional impairment on the Childhood Autism Rating Scale-Parent version (CARS-P) to diagnosis, parenting stress, and child age. Twenty-two mothers of children with autism and 19 mothers of children with pervasive developmental disorder-not otherwise specified (PDD-NOS) completed the CARS-P and the Parenting Stress Index. The autism group received significantly higher (i.e., more severe impairment) CARS-P ratings that did the PDD-NOS group. For the total sample, severity of impairment was a significant predictor of child-related parenting stress. The CARS-P was inconsistently associated with age-significantly positive for the PDD-NOS group but nonsignificantly for the autism group. Implications for the use of the CARS-P in assessment of children and the evaluation of interventions are discussed.
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PMID:Relation of the childhood autism rating scale-parent version to diagnosis, stress, and age. 1210 89

Autism is considered by many to be the most strongly genetically influenced multifactorial childhood psychiatric disorder. In the absence of any known gene or genes, the main support for this is derived from family and twin studies. Two recent studies (Greenberg et al. 2001; Betancur et al. 2002) suggested that the twinning process itself is an important risk factor in the development of autism. If true, this would have major consequences for the interpretation of twin studies. Both studies compared the number of affected twin pairs among affected sib pairs to expected values in two separate samples of multiplex families and reported a substantial and significant excess of twin pairs. Using data from our epidemiological study in Western Australia, we investigated the possibility of an increased rate of autism in twins. All children born between 1980 and 1995 with autism, Asperger syndrome, or pervasive developmental disorder not otherwise specified (PDD-NOS) were ascertained. Of the 465 children with a diagnosis, 14 were twin births (rate 30.0/1,000) compared to 9,640 children of multiple births out of a total of 386,637 births in Western Australia between 1980 and 1995 (twin rate weighted to number of children with autism or PDD per year 26.3/1,000). These data clearly do not support twinning as a substantial risk factor in the etiology of autism. We demonstrate that the high proportion of twins found in affected-sib-pair studies can be adequately explained by the high ratio of concordance rates in monozygotic (MZ) twins versus siblings and the distribution of family size in the population studied. Our results are in agreement with those of two similar studies by Croen et al. (2002) in California and Hultman et al. (2002) in Sweden.
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PMID:On the twin risk in autism. 1229 88

This study examined the association between adaptive behavior and general cognitive level in individuals with autism or PDD-NOS with and without comorbid mental retardation. Data from the screening version of the Vineland Adaptive Scales and the Wechsler Intelligence Scales were analysed in a sample of 67 subjects. While in the higher functioning individuals (IQ > 70, n = 34) IQ and adaptive behavior level differed significantly, performances were fairly comparable in subjects showing lower cognitive functioning (IQ < 70, n = 33). Regression models revealed a higher correlation between IQ and single adaptive behavior domains in the non-mentally retarded participants, with the domain Communication reaching the highest predictive power of the single adaptive behavior areas. Findings indicate, the relationship between adaptive and cognitive function in autistic disorders is mediated by the presence of a qualitative reduction of intelligence. Methodological limitations of the study are discussed.
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PMID:The relation between general cognitive level and adaptive behavior domains in individuals with autism with and without co-morbid mental retardation. 1246 53

There is consensus about the disorders that comprise the autistic spectrum, with autistic disorder, Asperger's disorder, and PDD-NOS as the most typical examples and Rett's disorder and disintegrative disorder as the other components. Important controversies regarding the precise definitions of autistic spectrum disorders and the boundaries between the milder manifestations of those disorders, particularly PDD-NOS, and non-autistic conditions have not been and cannot be resolved fully as long as there is no known biologic cause or consistent biologic or psychological marker. This includes issues as basic as whether the autistic spectrum is a predominantly unitary entity or a collection of more or less similar phenotypes with multiple, varying etiologies. This is why the highest long-term priority in the area of definite diagnosis is the search for biologic marker(s) for autism and related autism spectrum disorders [91]. In the absence of a medical test to unequivocally diagnose autism, definitions of autism and related conditions are based only on manifestations in overt behavior, with all the unreliability this entails. In the future, the discovery of biologic correlates, causes, and pathogenetic pathways will undoubtedly change the way in which autism is diagnosed and lead to a new nosology [95]. Until that time the definitions in the current versions of the classification systems should be considered in a state of evolution. The key problem of the current classification systems is the fact that the boundaries between the various disorders are fuzzy. Instead of a categorical approach, a more useful description might be that of "autistic spectrum disorder," which reflects the range of severity of symptoms. Such a dimensional understanding of PDD is useful to clinicians, who may otherwise use nonspecific terms to avoid the categorical diagnosis of autism [31]. Rutter and Schopler [96] argued for separate clinical and research schemes because clinical and research needs are different. For research purposes it is desirable to have as much direct comparability across studies as possible. The focus is on a high degree of homogeneity within diagnostic groupings. A price must be paid for this detailed specification, and the main cost lies in the proportion of cases left undiagnosed. For example, there may be good scientific reasons for a narrowly defined categorical diagnosis that includes only individuals who definitely and clearly have a specifically defined condition and excludes individuals who may have the condition. For clinicians and educators, classification helps guide the selection of treatments for an individual. From this point of view, broader diagnostic concepts may be most appropriate [95].
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PMID:The autistic spectrum: subgroups, boundaries, and treatment. 1246 62

This study prospectively compared the 2-year outcome of children diagnosed with autism or Asperger syndrome at age 6-8 years in terms of symptoms from the Autism Diagnostic Interview. Significant differences were seen in the three-domain summary scores of social interaction, communication, and repetitive activities, with the Asperger syndrome group demonstrating fewer and/or less severe symptoms at both times. There was a trend for the trajectories to come together over time on the socialization and communication domains, but not the repetitive activities domain. Differences were not attributable to IQ. Analysis of individual items indicated that the autism group improved over time on seven items and showed increased symptom severity on three items. On the other hand, the Asperger syndrome group improved on only two items and showed increased symptom severity on six items. Results suggest that the two PDD subtypes represent similar developmental trajectories, although the Asperger syndrome group maintains its advantage. Educational and clinical implications of the results are discussed.
J Autism Dev Disord 2003 Feb
PMID:Stability and change among high-functioning children with pervasive developmental disorders: a 2-year outcome study. 1270 76


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