Autism screening at 18 months of age: a comparison of the Q-CHAT-10 and M-CHAT screeners

Background Autism screening is recommended at 18- and 24-month pediatric well visits. The Modified Checklist for Autism in Toddlers—Revised (M-CHAT-R) authors recommend a follow-up interview (M-CHAT-R/F) when positive. M-CHAT-R/F may be less accurate for 18-month-olds than 24-month-olds and accuracy for identification prior to two years is not known in samples that include children screening negative. Since autism symptoms may emerge gradually, ordinally scoring items based on the full range of response options, such as in the 10-item version of the Quantitative Checklist for Autism in Toddlers (Q-CHAT-10), might better capture autism signs than the dichotomous (i.e., yes/no) items in M-CHAT-R or the pass/fail scoring of Q-CHAT-10 items. The aims of this study were to determine and compare the accuracy of the M-CHAT-R/F and the Q-CHAT-10 and to describe the accuracy of the ordinally scored Q-CHAT-10 (Q-CHAT-10-O) for predicting autism in a sample of children who were screened at 18 months. Methods This is a community pediatrics validation study with screen positive (n = 167) and age- and practice-matched screen negative children (n = 241) recruited for diagnostic evaluations completed prior to 2 years old. Clinical diagnosis of autism was based on results of in-person diagnostic autism evaluations by research reliable testers blind to screening results and using the Autism Diagnostic Observation Schedule—Second Edition (ADOS-2) Toddler Module and Mullen Scales of Early Learning (MSEL) per standard guidelines. Results While the M-CHAT-R/F had higher specificity and PPV compared to M-CHAT-R, Q-CHAT-10-O showed higher sensitivity than M-CHAT-R/F and Q-CHAT-10. Limitations Many parents declined participation and the sample is over-represented by higher educated parents. Results cannot be extended to older ages. Conclusions Limitations of the currently recommended two-stage M-CHAT-R/F at the 18-month visit include low sensitivity with minimal balancing benefit of improved PPV from the follow-up interview. Ordinal, rather than dichotomous, scoring of autism screening items appears to be beneficial at this age. The Q-CHAT-10-O with ordinal scoring shows advantages to M-CHAT-R/F with half the number of items, no requirement for a follow-up interview, and improved sensitivity. Yet, Q-CHAT-10-O sensitivity is less than M-CHAT-R (without follow-up) and specificity is less than the two-stage procedure. Such limitations are consistent with recognition that screening needs to recur beyond this age.

A Thorough Presentation of Autism Diagnostic Observation Schedule (ADOS-2)

ADOS-2 is considered the gold standard observational instrument for use in the diagnosis and/or classification of autism and ASD. In this chapter, the process of assessment will be described, which involves direct observation and engagement of children and adults for whom an ASD is suspected. Specifically, an emphasis will be put on ADOS structure, namely the five different modules for the assessment. Then, the advantages of ADOS-2 will be elaborated as a diagnostic tool and a brief review of studies concerning its psychometric properties will be reported.

The Brief Observation of Symptoms of Autism (BOSA): Development of a New Adapted Assessment Measure for Remote Telehealth Administration Through COVID-19 and Beyond

Interest in telehealth assessment for autism has increased due to COVID-19 and subsequent expansion of remote psychological services, though options that are easy for clinicians to adopt and available through the lifespan are limited. The Brief Observation of Symptoms of Autism (BOSA) provides a social context with standardized materials and activities that can be coded by clinicians trained in the Autism Diagnostic Observation Schedule. The current project examined psychometric properties to determine optimal use for each BOSA version. Three hundred and seven participants with 453 BOSAs were included to determine best performing items for algorithms, validity, sensitivity, specificity, recommended cut-offs, and proposed ranges of concern. While preliminary, the BOSA provides a promising new option for telehealth-administered assessment for autism.

Wavelets Based Feature Extraction With PCA For Predicting Autism In Neonates Using Navïe Bayes Classifier

Background: Current studies show early interventions of autism increase significant long-term positive effects, symptoms and, later skills. Currently, These interventions are based on the use of an early diagnostic test. Existing methods for diagnosing Autism Spectrum Disorders (ASDs) such as cognitive tests, Intelligence Quotient, and standardized tests like the Autism Diagnostic Observation Schedule (ADOS) are functionally limited since they rely on child development for diagnoses. The standard is that a child must be at least three(3) years to undergo these tests. Accurate diagnosis is only possible after this period, and this may contribute to delayed diagnosis with an overall effect on the health system. In this era of increasing genetic data, it is possible to infer the genetic patterns of the disorder. This study introduces a novel and rigorous approach for predicting ASDs in neonates and their subsequent severity by identifying significant genes that contribute to the disorder. Methods: We used a wavelet transform and t-test to identify the significant genes that contribute to the disease. We subsequently employed the Naive Bayes classifier in the prediction of the autistic status of the neonate. Additionally, Principal Component Analysis (PCA) was employed to remove all the dependencies among the genes to enhance classification. Finally, we used the K-means clustering method to predict the severity level of the disease in the neonate. Results: Up to 200 differentially expressed genes were identified and used for predicting the ASD status of the child with a classification accuracy of 95.91%. Also, the results of the K-means demonstrated that the higher the mean of the cluster, the more severe the disease would be among that corresponding group. Optimizing and implementing these models in clinical settings may significantly reduce the health burden of ASDs.

The Brief Observation of Symptoms of Autism (BOSA): Development of a New Adapted Assessment Measure for Remote Telehealth Administration through COVID-19 and Beyond

Interest in telehealth assessment for autism has increased due to COVID-19 and subsequent expansion of remote psychological services, though options that are easy for clinicians to adopt and available through the lifespan are limited. The Brief Observation of Symptoms of Autism (BOSA) provides a social context with standardized materials and activities that can be coded by clinicians trained in the Autism Diagnostic Observation Schedule (ADOS). The current project examined psychometric properties to determine optimal use for each BOSA version. Three hundred and seven participants with 453 BOSAs were included to determine best performing items for algorithms, validity, sensitivity, specificity, recommended cut-offs, and proposed ranges of concern. While preliminary, the BOSA provides a promising new option for telehealth-administered assessment for autism.

Diagnostic Evaluation of Autism Spectrum Disorders, A Health Professional Survey

Background: Since the prevalence and awareness AutismSpectrum Disorders (ASD) is growing day by day, it is crucial to correctly allocate diagnosis of ASD. According to the guidelines, there should be a multi-agency strategy group for diagnosis of ASD. Aim: To find out the diagnostic practices of ASD among different Health Professionals. Place and Duration of Study: Riphah International University, Lahore campus. The study was conducted from October 2017 till March 2018. Methodology: Data was collected from 116 professionals which included Speech-Language Pathologists, Pediatricians, Psychiatrists, Psychologists and Occupational Therapists by using questionnaire. A cross-sectional survey was carried out by using the technique of convenient sampling. Researcher collected the data from Riphah International University in person and some professionals were sent questionnaires online. Results: Majority of professionals provide diagnostic service i.e. 84.4% as a part of multidisciplinary team whereas 15.6% are sole practitioners for giving diagnosis; 51.1% collaborate with other professionals to make a consensus diagnosis and the most frequently used tool by professionals for diagnosing ASD is Childhood Autism Rating Scale CARS (76.7%) and Diagnostic and Statistical Manual of Mental Disorders V/IV (DSM V OR IV) criteria (67.8%). Conclusion: The professionals in the current study are using multidisciplinary approach for diagnosing ASD and a small number are sole practitioners. The most frequently used tool for diagnosing ASD are CARS and DSM V OR IV criteria. However, very few practitioners use the diagnostic tool Autism Diagnostic Observation Schedule ADOS and Autism Diagnostic Interview-Revised ADI-R. The professionals who provide diagnosis of ASD are Speech and language Pathologists, Psychologists, pediatricians, psychiatrists and Occupational therapists.

Sex differences in social communication behaviors in toddlers with suspected autism spectrum disorder as assessed by the ADOS-2 toddler module

The Autism Diagnostic Observation Schedule, 2nd-edition (ADOS-2) Toddler Module is the current gold-standard measure of autism spectrum disorder (ASD), a neurodevelopmental condition more frequently diagnosed in toddler boys than girls. Some evidence suggests that behaviors assessed by the Toddler Module may capture an ASD phenotype that is more common among boys than girls. Focus on these behaviors may contribute to sex differences in ASD diagnoses. Particularly, the ADOS-2 may equivalently weight social communication behaviors on which boys and girls are expected to look similar and behaviors that which girls may, due to early socialization, perform differently than boys. As a consequence, the Toddler Module may fail to identify ASD in girls who should qualify for the diagnosis. The current study examined the possibility that some ADOS-2 items may function differently for boys and girls by testing the degree to which eight items equivalently related to a social communication latent factor across sexes in toddlers with suspected ASD. Inconsistent with hypotheses, tests of differential item functioning revealed no evidence of sex differences, suggesting that the Toddler Module assesses these eight items similarly for boys and girls. Examination of factor loadings point to Creativity/Imagination as an area of interest for future research. Lay Abstract When toddlers are suspected of autism spectrum disorder (ASD), the gold-standard assessment technique is with the Autism Diagnostic Observation Schedule, 2nd edition (ADOS-2) Toddler Module, a behavioral observation system. ASD is a neurodevelopmental condition more frequently diagnosed in toddler boys than in toddler girls. There is some evidence that the ADOS-2 assesses behaviors that are more characteristic of boys with ASD than girls. Thus, it is possible that focusing on these behaviors contributes at least in part to why more boys are diagnosed than girls. Specifically, girls may show more social skills than boys during the ADOS-2 assessment due to their socialization histories, which may lead to missed diagnoses of ASD in toddler girls. The current study examined eight social behaviors assessed by the ADOS-2 in a sample of toddlers with suspected ASD to see if they contributed differently to the total score of those items. Examination of those items suggested that those social communication behaviors work the same for boys and girls with suspected ASD, which was inconsistent with hypotheses. However, examination of particular items raises the possibility of examining creative/imaginative play as an area for future research.

Do autistic girls have better communication and interaction skills than autistic boys?

There is ongoing debate as to whether autism spectrum disorder (ASD) differentially affects males and females. Several meta-analyses have found little difference between males and females with ASD in terms of social communication and interaction skills. However, such analyses have often relied on diagnostic instruments such as the Autism Diagnostic Observation Schedule, Second Edition 2 that may not be sensitive to how autism presents in females. What’s more, many have been based on global scores, that reflect overall social communication and interaction skills, which could miss subtler differences in specific domains.

Validation of Rapid Interactive Screening Test for Autism in Toddlers Using Autism Diagnostic Observation Schedule™ Second Edition in Children at High-Risk for Autism Spectrum Disorder

The Rapid Interactive screening Test for Autism in Toddlers (RITA-T) is a fast and inexpensive early screening measure for autism spectrum disorder (ASD) that was tested previously in children 18–36 months-old; the current validation study compared the RITA-T with the Autism Diagnostic Observation Schedule™ Second Edition (ADOS-2). The hypothesis is to validate the RITA-T with comparison to the ADOS-2. Thirty-five individuals (18–84 months-old) identified as at risk for ASD received the RITA-T and the ADOS-2 during a single visit. Participants were split into two age groups and both whole-group and sub-group data analysis were conducted. With all participants, RITA-T scores correlated significantly with ADOS-2 total scores (P < 0.001), social affect (SA) sub-scores (P < 0.001), and restrictive and repetitive behavior (RRB) sub-scores (P < 0.05). Similarly, ADOS-2 total and SA scores were significantly correlated in both age groups, while the RRB sub-score was only significant in females (P < 0.05). Lastly, correlations using subgroups based on ethnicity were only significant in the minority (“Other”) group for ADOS-2 total scores and in the Asian group for SA sub-scores (P < 0.05). Our receiver operating characteristic analysis showed that the optimal cut-off score of the RITA-T was consistently at 14, with a sensitivity of 81% and a specificity of 89% in the combined age group with the ADOS-2 and with a sensitivity 74% and specificity 50% with the DSM-5; The area under the curve was 0.84 (95%CI: 0.69–0.99) for ASD classified by ADOS-2 and 0.89 (95%CI: 0.79–0.99) for ASD diagnosed by DSM-5. The RITA-T performed similarly to the ADOS-2 when both were administered in a single visit. Significant correlations between the measures help validate the potential usefulness of the RITA-T as a rapid early screening measure of ASD. This study helps to show that the RITA-T may be used in a larger age range than originally reported and in different ethnic groups. The study involves human participants and was reviewed and approved by the Institutional Review Board (IRB) of Massachusetts General Hospital (MGH, 2017P0000857).

Utredning av autismespekterforstyrrelser i BUP – hvor godt samsvar er det mellom instrumenter og endelig klinisk diagnose?

Background: The Developmental, Dimensional and Diagnostic Interview (3Di) and the Autism Diagnostic Observation Schedule (ADOS-2) may be useful when assessing autism spectrum disorder (ASD), but the accuracy of the Norwegian 3Di is not known. Method: We investigated the classification accuracy of the 3Di and the ADOS-2 in identifying clinically diagnosed ASD in 130 participants (mean age 11 years). Results: We found acceptable accuracy in identifying ASD with both the 3Di and ADOS-2 (sensitivities/specificities > 70 %), and highest accuracy (positive likelihood ratio = 17.12) when combining the two instruments, but this gave lower sensitivity (54 %). Conclusions: The 3Di is useful when assessing ASD, and most accurate when combined with information from the ADOS-2. Clinicians should be aware that some children with ASD may be missed by requiring endorsement from both instruments. Keywords: Autism Diagnostic Observation Schedule, inter-rater reliability, sensitivity, specificity, Developmental, Dimensional and Diagnostic Interview