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Autism Diagnostic Interview-Revised and the Childhood Autism Rating Scale: convergence and discrepancy in diagnosing autism.

The agreement between the Autism Diagnostic Interview-Revised (ADI-R) and the Childhood Autism Rating Scale (CARS) was investigated in the diagnostic assessment of 54 children aged 22-114 months referred for possible autism. The observed agreement between the two systems was 66.7% (Cohen's kappa = .40) when the ADI-R definition for autism was applied (i.e., scores reaching cutoff in three domains on the ADI-R), but increased considerably with less stringent criteria; that is, scores reaching cutoffs in two domains and in one domain on the ADI-R. As predicted, the CARS identified more cases of autism than the ADI-R. Children classified as autistic according to both instruments had significantly lower IQ/DQ and more severe autistic symptomatology than those classified with the CARS only.

Autistic Disorder↗

Childhood Autism Rating Scale (CARS) and Autism Behavior Checklist (ABC) correspondence and conflicts with DSM-IV criteria in diagnosis of autism.

Childhood Autism Rating Scale (CARS) and Autism Behavior Checklist (ABC) are tests widely used for screening and diagnosis of autism. This study verified their correspondence and conflict with a diagnosis made with DSM-IV criteria. The sample consisted of 65 children, aged 18 months to 11 years. We found complete agreement between DSM-IV and CARS. We show that ABC does not distinguish individuals with autistic disorders from other cases of developmental disorders as well as CARS: the number of false negatives is high (46%) with ABC as opposed to 0% with CARS.

Autistic Disorder↗

Comparison of high-functioning atypical autism and childhood autism by Childhood Autism Rating Scale-Tokyo version.

To assess autistic symptom differences between high-functioning atypical autism (atypical symptomatology) (HAA; IQ >/= 70) and childhood autism (HCA), 53 HAA children (mean: 6.0 +/- 0.5 years) were compared with 21 HCA children (mean: 8.2 +/- 1.1 years) on the Childhood Autism Rating Scale-Tokyo version (CARS-TV). Because IQ on the Japanese version of the Stanford-Binet and CARS-TV total scores differed significantly between HAA and HCA, analysis of covariance was conducted with IQ and CARS-TV total scores controlled for. In two items of CARS-TV (relationship with people and general impressions) the HAA children were significantly less abnormal than the HCA children. Affect tended to be significantly milder in HAA than HCA. Anxiety reaction was significantly more abnormal in HAA than HCA. These findings may be useful to distinguish between HAA and HCA.

Adolescent↗

Association of tuberous sclerosis of temporal lobes with autism and atypical autism.

BACKGROUND: Tuberous sclerosis (TS) is a multisystem genetic disorder that is associated with mental retardation, autism, and atypical autism. We investigated the basis for these associations by examining whether the liability to mental retardation and autism or atypical autism is related to the number and distribution of hamartomatous brain growths (cortical tubers) that characterise TS. METHODS: 18 patients consecutively referred to our clinic were assessed for the presence of autism or atypical autism, and their IQs were estimated (without awareness of brain-scan results). Brain scans were reviewed by a neuroradiologist (unaware of clinical diagnoses), and the number and location of cortical tubers was examined in relation to the liability to psychopathology. FINDINGS: Nine of the 18 patients had autism or atypical autism (two with IQ > or = 70; four with IQ 51-69, three with IQ < or = 50; eight with a history of epilepsy). The remaining patients had various other psychiatric disorders (five with IQ > or = 70; four with IQ 51-69; seven had a history of epilepsy). In the group as a whole, the number of tubers was significantly greater (p = 0.005) in patients with mental retardation (median 6 [IQR 4-9]) than in those of normal intelligence (1 [0-3]), and the degree of mental retardation was significantly correlated with the number of brain tubers (rs = 0.64; p = 0.008). Similarly, the number of tubers was significantly greater (p = 0.02) in individuals with a diagnosis of autism or atypical autism (6 [4-8]) than in those without this diagnosis (2 [1-4]). Eight of the nine patients with autism or atypical autism, but none of the non-autistic individuals, had tubers located in the temporal lobes (p = 0.0004). Otherwise, no particular distribution of cortical tubers was associated with a diagnosis of autism or atypical autism. INTERPRETATION: Our investigation provides evidence of an association between a gross, focal brain abnormality detectable on neuroimaging and autism or atypical autism. The results show the importance of scan findings in the prognosis of TS, and also suggest that temporallobe neurodevelopmental abnormalities may create a risk for autism or atypical autism.

Adolescent↗

A modified screening tool for autism (Checklist for Autism in Toddlers [CHAT-23]) for Chinese children.

BACKGROUND: There is a recent trend of a worldwide increase in the incidence of autistic spectrum disorder. Early identification and intervention have proved to be beneficial. The original version of the Checklist for Autism in Toddlers (CHAT) was a simple screening tool for identification of autistic children at 18 months of age in the United Kingdom. Children with an absence of joint attention (including protodeclarative pointing and gaze monitoring) and pretend play at 18 months were at high risk of autism. Section A of the CHAT was a self-administered questionnaire for parents, with 9 yes/no questions addressing the following areas of child development: rough and tumble play, social interest, motor development, social play, pretend play, protoimperative pointing (pointing to ask for something), protodeclarative pointing, functional play, and showing. Section B of the CHAT consisted of 5 items, which were recorded with observation of the children by general practitioners or health visitors. The 5 items addressed the child's eye contact, ability to follow a point (gaze monitoring), pretend (pretend play), produce a point (protodeclarative pointing), and make a tower of blocks. A 6-year follow-up study of >16,000 children screened with the CHAT at 18 months in the United Kingdom showed a sensitivity of only 0.40 and a specificity of 0.98, with a positive predictive value (PPV) of 0.26. Rescreening using the same instrument at 19 months for those who failed the 18-month screening yielded a higher PPV of 0.75. Therefore, children were likely to have autism if they failed the CHAT at 18 months and failed again at 19 months. It was estimated that consistent failure in 3 key questions (ie, protodeclarative pointing, gaze monitoring, and pretend play) at 18 months indicated an 83.3% risk of having autism. Because of the poor sensitivity of the original CHAT for autism, a Modified Checklist for Autism in Toddlers (M-CHAT), consisting of 23 questions, with 9 questions from the original CHAT and an additional 14 questions addressing core symptoms present among young autistic children, was designed in the United States. The original observational part (ie, section B) was omitted. The M-CHAT was designed as a simple, self-administered, parental questionnaire for use during regular pediatric visits. The more questions children failed, the higher their risk of having autism. Two criteria were used to measure the sensitivity and specificity of M-CHAT. Criterion 1 used any 3 of the 23 questions, and criterion 2 used 2 of the 6 best questions that could be used to discriminate autism from other groups. The sensitivity and specificity for criterion 1 were 0.97 and 0.95 and those for criterion 2 were 0.95 and 0.99, respectively. M-CHAT had a better sensitivity than the original CHAT, because children up to 24 months of age were screened, with the aim of identifying those who might regress between 18 and 24 months. The 6 best questions of the M-CHAT addressed areas of social relatedness (interest in other children and imitation), joint attention (protodeclarative pointing and gaze monitoring), bringing objects to show parents, and responses to calling. Joint attention was addressed in the original CHAT, whereas the other areas were addressed only in the M-CHAT. To date, there has been no study of the application of either the original CHAT or the M-CHAT for Chinese populations. OBJECTIVES: CHAT-23 is a new checklist translated into Chinese, combining the M-CHAT (23 questions) with graded scores and section B (observational section) of the CHAT. We aimed to determine whether CHAT-23 could discriminate autism at mental ages of 18 to 24 months for Chinese children and to determine the best combination of questions to identify autism. METHODS: A cross-sectional cohort study was performed with 212 children with mental ages of 18 to 24 months. The children were categorized into 2 groups, ie, group 1 (N = 87) (autistic disorder: N = 53; pervasive developmental disorder: N = 33) and group 2 (N = 125) (nonautistic). The checklist included self-ad25) (nonautistic). The checklist included self-administered questionnaires with 23 questions (part A) and direct observations of 5 items by trained investigators (part B). We performed discriminant function analysis to We found that 7 key questions, addressing areas of joint attention, pretend play, social relatedness, and social referencing, were identified as discriminative for autism. For part A, failing any 2 of 7 key questions, ie, question 13 (does your child imitate you? [eg, you make a face; will your child imitate it?]), question 5 (does your child ever pretend, for example, to talk on the phone or take care of dolls, or pretend other things?), question 7 (does your child ever use his/her index finger to point, to indicate interest in something?), question 23 (does your child look at your face to check your reaction when faced with something unfamiliar?), question 9 (does your child ever bring objects over to you [parent] to show you something?), question 15 (if you point at a toy across the room, does your child look at it?), and question 2 (does your child take an interest in other children?), yielded sensitivity of 0.931 and specificity of 0.768. Failing any 6 of all 23 questions produced sensitivity of 0.839 and specificity of 0.848. For part B, failing any 2 of 4 items produced sensitivity of 0.736, specificity of 0.912, and PPV of 0.853. The 4 observational items were as follows: item B1: during the appointment, has the child made eye contact with you? item B2: does the child look across to see what you are pointing at? item B3: does the child pretend to pour out tea, drink it, etc?; item B4: does the child point with his/her index finger at the light? CONCLUSION: We found that integrating the screening questions of the M-CHAT (from the United States) and observational section B of the original CHAT (from the United Kingdom) yielded high sensitivity and specificity in discriminating autism at 18 to 24 months of age for our Chinese cohort. This new screening instrument (CHAT-23) is simple to administer. We found that a 2-stage screening program for autism can offer a cost-effective method for early detection of autism at 18 to 24 months. For CHAT-23, use of both the parental questionnaire and direct observation and use of the criterion of failing any 2 of 7 key questions yielded the highest sensitivity but a relatively lower specificity, whereas use of part B yielded the highest specificity but a lower sensitivity. We recommend identifying the possible positive cases with part A (parental questionnaire) and then proceeding to part B (observation) with trained assessors. The proposed algorithm for screening for autism is as follows. 1) The parents or chief caretakers complete a 23-item questionnaire when their children are 18 to 24 months of age. 2) The parents mail, fax, or hand this 23-item questionnaire to the local child health agency. 3) Clerical staff members check for and score failure, with the criteria of failing any 2 of 7 key questions or failing any 6 of 23 questions; if either criterion is met, then the staff members highlight the medical records of the suspicious cases. 4) Trained child health care professionals observe the children who failed any 2 of 7 key questions or any 6 of 23 questions. These identified patients are observed for 5 minutes for part B of the CHAT-23. 5) Any child who fails any 2 of 4 items requires direct referral to a comprehensive autism evaluation team, for early diagnostic evaluation and early intervention. The high sensitivity and specificity of the criteria observed in our study suggested that CHAT-23 might be used to differentiate children with autism. Additional international collaboration with the use of the CHAT, M-CHAT, and CHAT-23 could provide more prospective epidemiologic data, to establish whether there is a genuine increase in the worldwide incidence of autism.

Attention↗

Neurocognitive and electrophysiological evidence of altered face processing in parents of children with autism: implications for a model of abnormal development of social brain circuitry in autism.

Neuroimaging and behavioral studies have shown that children and adults with autism have impaired face recognition. Individuals with autism also exhibit atypical event-related brain potentials to faces, characterized by a failure to show a negative component (N170) latency advantage to face compared to nonface stimuli and a bilateral, rather than right lateralized, pattern of N170 distribution. In this report, performance by 143 parents of children with autism on standardized verbal, visual-spatial, and face recognition tasks was examined. It was found that parents of children with autism exhibited a significant decrement in face recognition ability relative to their verbal and visual spatial abilities. Event-related brain potentials to face and nonface stimuli were examined in 21 parents of children with autism and 21 control adults. Parents of children with autism showed an atypical event-related potential response to faces, which mirrored the pattern shown by children and adults with autism. These results raise the possibility that face processing might be a functional trait marker of genetic susceptibility to autism. Discussion focuses on hypotheses regarding the neurodevelopmental and genetic basis of altered face processing in autism. A general model of the normal emergence of social brain circuitry in the first year of life is proposed, followed by a discussion of how the trajectory of normal development of social brain circuitry, including cortical specialization for face processing, is altered in individuals with autism. The hypothesis that genetic-mediated dysfunction of the dopamine reward system, especially its functioning in social contexts, might account for altered face processing in individuals with autism and their relatives is discussed.

Autistic Disorder↗

Mapping the brain in autism. A voxel-based MRI study of volumetric differences and intercorrelations in autism.

Autism is a disorder of neurodevelopment resulting in pervasive abnormalities in social interaction and communication, repetitive behaviours and restricted interests. There is evidence for functional abnormalities and metabolic dysconnectivity in 'social brain' circuitry in this condition, but its structural basis has proved difficult to establish reliably. Explanations for this include replication difficulties inherent in 'region of interest' approaches usually adopted, and variable inclusion criteria for subjects across the autism spectrum. Moreover, despite a consensus that autism probably affects widely distributed brain regions, the issue of anatomical connectivity has received little attention. Therefore, we planned a fully automated voxel-based whole brain volumetric analysis in children with autism and normal IQ. We predicted that brain structural changes would be similar to those previously shown in adults with autism spectrum disorder and that a correlation analysis would suggest structural dysconnectivity. We included 17 stringently diagnosed children with autism and 17 age-matched controls. All children had IQ >80. Using Brain Activation and Morphological Mapping (BAMM) software, we measured global brain and tissue class volumes and mapped regional grey and white matter differences across the whole brain. With the expectation that volumes of interconnected regions correlate positively, we carried out a preliminary exploration of 'connectivity' in autism by comparing the nature of inter-regional grey matter volume correlations with control. Children with autism had a significant reduction in total grey matter volume and significant increase in CSF volume. They had significant localized grey matter reductions within fronto-striatal and parietal networks similar to findings in our previous study, and additional decreases in ventral and superior temporal grey matter. White matter was reduced in the cerebellum, left internal capsule and fornices. Correlation analysis revealed significantly more numerous and more positive grey matter volumetric correlations in controls compared with children with autism. Thus, using similar diagnostic criteria and image analysis methods in otherwise healthy populations with an autistic spectrum disorder from different countries, cultures and age groups, we report a number of consistent findings. Taken together, our data suggest abnormalities in the anatomy and connectivity of limbic-striatal 'social' brain systems which may contribute to the brain metabolic differences and behavioural phenotype in autism.

Adolescent↗

Autism in Angelman syndrome: implications for autism research.

Angelman syndrome (AS) is a neurodevelopmental disorder characterized by severe mental retardation, ataxia, and a happy/sociable disposition. Maternally, but not paternally, derived defects, such as duplications, within the AS critical region result in autistic symptomatology, suggesting that the UBE3A gene might be implicated in the causation of autism. This study examined the prevalence of autism in AS in 19 children representing three known molecular classes of AS. Children were studied over the course of 1 year. Forty-two percent of this population, eight of 19 children, met criteria for autism according to the Autism Diagnostic Observation Schedule (ADOS). Parents of children who were diagnosed with autism according to Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV criteria as well as the ADOS - Generic, Module 1 (ADOS-G) were administered the Autism Diagnostic Interview - Revised (ADI-R). Data from the ADI-R were convergent with data from the ADOS-G in all cases. Children with comorbid autism and AS scored lower on measures of language, adaptive behavior, and cognition, and demonstrated a slower rate of improvement over the course of the study. Furthermore, they demonstrated deficits in communication and socialization that mirror those observed in children with idiopathic autism. The study highlights the phenotypic overlap between autism and AS and increases the probability that dysregulation of UBE3A may play a role in the causation of autism.

Angelman Syndrome↗

Autism and autism risk in siblings of children with specific language impairment.

BACKGROUND: Several studies have shown that family members of children with autism have elevated rates of spoken and written speech and language problems. AIMS: This study asked whether there was also a greater rate of siblings with autism among probands with specific language impairment. METHODS & PROCEDURES: The probands in this study were 158 children with specific language impairment and 132 children with normal language status. These probands had 522 siblings who were examined for risk of autism using the Autism Behavior Checklist. Siblings found to be at risk were then examined using the Autism Diagnostic Interview--Revised and the Autism Diagnostic Observation Schedule-G. OUTCOMES & RESULTS: A concentration of siblings with risk for a diagnosis of autism was found in association with probands who had poor spoken language skills. Four siblings of the 522 (0.8%) met the diagnostic standards for autism. All the probands of these siblings had spoken language scores below -1 SD and three had diagnoses of spoken language impairment. CONCLUSIONS: These data provide additional support for a familial association between autism and spoken language impairment.

Autistic Disorder↗

Pregnancy and birth complications in autism and liability to the broader autism phenotype.

OBJECTIVE: To understand better the relationship between pregnancy and birth complications and genetic factors in autism. METHOD: The sample included 78 children with an autism spectrum disorder and 88 unaffected siblings. A standardized interview was used to ask mothers about the pregnancy and birth of each child, and an overall index reflecting freedom from complications (termed "optimality") was determined. The presence of autism-like traits (termed the "broader autism phenotype") in second- and third-degree relatives was ascertained by reports from multiple informants. The pro-. portion of relatives with the broader autism phenotype, corrected for degree of relation, was used as an index of family loading. RESULTS: Children with autism spectrum disorders have lower optimality (higher rates of complications) than unaffected siblings. High family loading for the broader autism phenotype is associated with higher rates of complications in unaffected siblings. Family loading was not significantly associated with complications in affected siblings in this sample. Overall, these findings argue against complications being a direct cause of autism, as one would expect to find the most complications in sporadic cases (i.e., in children without a positive family history). CONCLUSION: Increased rates of birth and pregnancy complications are likely secondary to familial factors associated with autism.

Autistic Disorder↗

The behavioral phenotype in fragile X: symptoms of autism in very young children with fragile X syndrome, idiopathic autism, and other developmental disorders.

This study was designed to explore the behavioral phenotype of autism in a group of young children with fragile X syndrome (FXS). Twenty-four children with FXS, ages 21 to 48 months, were compared with two well-matched groups: 27 children with autism (AD) and 23 children with other developmental delays (DD), on two standardized autism instruments, as well as on measures of development and adaptive behavior. Two FXS subgroups emerged. One subgroup (n = 16) did not meet study criteria for autism. Their profiles on the autism instruments and the developmental instruments were virtually identical to the other DD group. The other FXS subgroup (n = 8, or 33% of the total FXS group) met study criteria for autism. Their profiles on the autism instruments were virtually identical to the group with autism. The finding of two FXS subgroups raises a hypothesis of additional genetic influences in the FXS autism group, warranting further genetic studies.

Autistic Disorder↗

Autism ableism seen through research abstract contents: A mixed-methods analysis of language in NIH-funded genetic and genomic autism research.

In recent years, genetic and genomic autism research has come under increasing scrutiny, moving to the center of debates about ableism, neurodiversity, autism acceptance, and the future of research and care. At the same time, both autism research and genetics and genomics research have, as fields, begun to reckon with the significance of the language researchers use in the course of their work and the harmful ideas that may thereby be reinforced. Although the language of research cannot be assumed to straightforwardly correspond to individual researchers' beliefs, the presence of widespread ableist language may indicate structural and institutionalized ableism, including ableist assumptions at the foundations of research. We conducted a mixed-methods analysis of 166 genetic and genomic autism research projects funded by the US National Institutes of Health, in order to understand the prevalence of potentially ableist discourse, language, and stigmatizing language about autistic people. We found that such discourse and language was ubiquitous across our sample, including a discourse of prevention. This study lends empirical evidence to current debates about language in autism research. Evaluating language can prompt researchers and institutions to reflect on how they conceptualize, design, discuss, and pursue their work.Lay abstractGenetic research about autism is controversial. Researchers are starting to think more carefully about the words they use to talk about autism and the way they do their research. Past research has found that researchers sometimes write about autism in ableist ways. This means that they write about autistic people as though they are less important than nonautistic people. We looked at the way genetics researchers have written about autism in the paperwork for their research. We found that they often write about autistic people in an ableist way. We think that researchers should think carefully about the way they write about autistic people, and how they plan and do their research.

Humans↗

The autism diagnostic observation schedule-generic: a standard measure of social and communication deficits associated with the spectrum of autism.

The Autism Diagnostic Observation Schedule-Generic (ADOS-G) is a semistructured, standardized assessment of social interaction, communication, play, and imaginative use of materials for individuals suspected of having autism spectrum disorders. The observational schedule consists of four 30-minute modules, each designed to be administered to different individuals according to their level of expressive language. Psychometric data are presented for 223 children and adults with Autistic Disorder (autism), Pervasive Developmental Disorder Not Otherwise Specified (PDDNOS) or nonspectrum diagnoses. Within each module, diagnostic groups were equivalent on expressive language level. Results indicate substantial interrater and test-retest reliability for individual items, excellent interrater reliability within domains and excellent internal consistency. Comparisons of means indicated consistent differentiation of autism and PDDNOS from nonspectrum individuals, with some, but less consistent, differentiation of autism from PDDNOS. A priori operationalization of DSM-IV/ICD-10 criteria, factor analyses, and ROC curves were used to generate diagnostic algorithms with thresholds set for autism and broader autism spectrum/PDD. Algorithm sensitivities and specificities for autism and PDDNOS relative to nonspectrum disorders were excellent, with moderate differentiation of autism from PDDNOS.

Autistic Disorder↗

An autosomal genomic screen for autism. Collaborative linkage study of autism.

Autism is a severe neurodevelopmental disorder defined by social and communication deficits and ritualistic-repetitive behaviors that are detectable in early childhood. The etiology of idiopathic autism is strongly genetic, and oligogenic transmission is likely. The first stage of a two-stage genomic screen for autism was carried out by the Collaborative Linkage Study of Autism on individuals affected with autism from 75 families ascertained through an affected sib-pair. The strongest multipoint results were for regions on chromosomes 13 and 7. The highest maximum multipoint heterogeneity LOD (MMLS/het) score is 3.0 at D13S800 (approximately 55 cM from the telomere) under the recessive model, with an estimated 35% of families linked to this locus. The next highest peak is an MMLS/het score of 2.3 at 19 cM, between D13S217 and D13S1229. Our third highest MMLS/het score of 2.2 is on chromosome 7 and is consistent with the International Molecular Genetic Study of Autism Consortium report of a possible susceptibility locus somewhere within 7q31-33. These regions and others will be followed up in the second stage of our study by typing additional markers in both the original and a second set of identically ascertained autism families, which are currently being collected. By comparing results across a number of studies, we expect to be able to narrow our search for autism susceptibility genes to a small number of genomic regions. Am. J. Med. Genet. (Neuropsychiatr. Genet.) 88:609-615, 1999.

Adolescent↗

Screening for autism in young children: The Modified Checklist for Autism in Toddlers (M-CHAT) and other measures.

The literature on the importance of early identification and early intervention for children with developmental disabilities such as autism continues to grow. The increased prevalence of autistic spectrum disorders has fostered research efforts on the development and validation of autism-specific screening instruments for use with young children. There are currently several such autism-specific screening tools meant to be used with young children in various stages of development. Data from a few of these screening instruments have been published, and they include the Checklist for Autism in Toddlers (CHAT), Pervasive Developmental Disorders Screening Test (PDDST), Screening Tool for Autism in Two year olds (STAT), Checklist for Autism in Toddlers-23 (CHAT-23), and the Modified Checklist for Autism in Toddlers (M-CHAT). In this review, these five tools designed for use with children under three years old will be highlighted. In particular, the Modified Checklist for Autism in Toddlers (M-CHAT) will be discussed.

Age Factors↗

Factor analysis of restricted and repetitive behaviors in autism using the Autism Diagnostic Interview-R.

The current study examined the factor structure of restricted and repetitive behaviors (RRB) in children with autism. Factor extraction procedures of 12 items from the Autism Diagnostic Interview-Revised (ADI-R) were applied in N = 207 individuals with autism. Two interpretable factors were identified: Factor 1--repetitive sensory motor actions and Factor 2--resistance to change. There was a significant negative correlation between an index of level of adaptive functioning and Factor 1. Intraclass correlations were not significant for either factor in a subset of families with two or more siblings with autism (multiplex). No differences in scores were apparent for either factor when multiplex families and families containing only one affected individual with autism (singleton) were compared. RRB in autism are represented by two distinct factors which may reflect two separate groups within autism. Defining subgroups within autism will allow for reduction of clinical heterogeneity and enhance our ability to dissect the genetic etiology of this complex disorder.

Adolescent↗

Prevalence and patterns of use of psychoactive medicines among individuals with autism in the Autism Society of Ohio.

To date, there have been few surveys of psychotropic and antiepileptic drug (AED) prevalence in individuals with autism-spectrum conditions. We surveyed 747 families in the Autism Society of Ohio regarding the use of psychotropic drugs, AEDs, and over-the-counter (OTC) preparations for autism. In all, 417 families (55.8%) replied. A total of 45.6% were taking some form of psychotropic agent (including St. John's wort and melatonin), whereas 11.5% were taking AEDs, and 10.3% took OTC autism preparations. The most common psychotropic agents included antidepressants (21.6%), antipsychotics (14.9%), antihypertensives (12.5%), and stimulants (11.3%). Some 51.6% were prescribed psychotropic drugs or AEDs, and 55.4% took psychotropic drugs, AEDs, or autism supplements. Demographic variables frequently found to be associated with medication use included greater age, more severe autism, more severe intellectual handicap, and housing outside the family home. Whereas there is empirical support for the use of some of these psychotropic agents in autism, others are being prescribed with minimal research support. OTC autism preparations were used in substantial numbers of individuals, despite limited research support and the possibility of toxic effects.

Adolescent↗

The Autism Diagnostic Interview-Revised and the Childhood Autism Rating Scale: differences between diagnostic systems and comparison between genders.

Diagnoses for autism based on the Autism Diagnostic Interview-Revised (ADI-R) and the Childhood Autism Rating Scale (CARS) were examined for 83 individuals with suspected autism. Agreement between systems reached 85.7%. Participants receiving diagnosis of autism based on only one system were significantly younger in age than individuals receiving diagnoses according to both systems. Individuals who did not receive diagnosis of autism on the ADI-R had lower chronological and mental ages and lower CARS scores compared to individuals who received diagnosis of autism based on the ADI-R. Eighteen females and 18 males were matched to examine possible gender differences. No significant findings were revealed, suggesting that the symptoms of autism according to the ADI-R and CARS do not differ between males and females when matched for chronological and mental ages.

Adolescent↗