Aim: The current cut-off score of the Korean version of the Childhood Autism Rating Scale (K-CARS) does not seem to be sensitive enough to precisely diagnose high-functioning autism. The aim of this study was to identify the optimal cut-off score of K-CARS for diagnosing high-functioning individuals with autism spectrum disorders (ASD).
Methods: A total of 329 participants were assessed by the Korean versions of the Autism Diagnostic Interview - Revised (K-ADI-R), Autism Diagnostic Observation Schedule (K-ADOS), and K-CARS. IQ and Social Maturity Scale scores were also obtained.
Results: The true positive and false negative rates of K-CARS were 77.2% and 22.8%, respectively. Verbal IQ (VIQ) and Social Quotient (SQ) were significant predictors of misclassification. The false negative rate increased to 36.0% from 19.8% when VIQ was >69.5, and the rate increased to 44.1% for participants with VIQ > 69.5 and SQ > 75.5. In addition, if SQ was >83.5, the false negative rate increased to 46.7%, even if the participant's VIQ was ≤69.5. Optimal cut-off scores were 28.5 (for VIQ ≤ 69.5 and SQ ≤ 75.5), 24.25 (for VIQ > 69.5 and SQ > 75.5), and 24.5 (for SQ > 83.5), respectively.
Conclusion: The likelihood of a false negative error increases when K-CARS is used to diagnose high-functioning autism and Asperger's syndrome. For subjects with ASD and substantial verbal ability, the cut-off score for K-CARS should be re-adjusted and/or supplementary diagnostic tools might be needed to enhance diagnostic accuracy for ASD.
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http://dx.doi.org/10.1111/pcn.12540 | DOI Listing |
BMC Geriatr
January 2025
Faculty of Medicine, Department of Geriatric Medicine, Gazi University, Ankara, 06560, Turkey.
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Ann Fam Med
January 2025
Departments of Psychiatry and Emergency Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Purpose: Mental health screening is recommended by the US Preventive Services Task Force for all patients in areas where treatment options are available. Still, it is estimated that only 4% of primary care patients are screened for depression. The goal of this study was to evaluate the efficacy of machine learning technology (Kintsugi Voice, v1, Kintsugi Mindful Wellness, Inc) to detect and analyze voice biomarkers consistent with moderate to severe depression, potentially allowing for greater compliance with this critical primary care public health need.
View Article and Find Full Text PDFEur J Trauma Emerg Surg
January 2025
Intensive Care Department, Sainte Anne Military Teaching Hospital, Toulon, France.
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View Article and Find Full Text PDFChin J Cancer Res
December 2024
Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Objective: Colorectal cancer (CRC) surgeries can be performed using either laparoscopic or open laparotomy approaches. However, the long-term outcomes based on tumor location and age remain unclear. This study compared the long-term outcomes of laparoscopic and laparotomy surgeries in patients with CRC, focusing on tumor location and age to identify suitable subgroups and determine an optimal cut-off age.
View Article and Find Full Text PDFRheumatol Immunol Res
December 2024
Rheumatology, Rehabilitation, and Physical medicine department, Faculty of Medicine, Menoufia University, Shibin El Kom Egypt.
Background And Objectives: Juvenile Idiopathic Arthritis (JIA) and Rheumatoid arthritis (RA) are autoimmune chronic inflammatory disorders of undetermined cause. Uveitis is one of the commonest and most dangerous extra-articular manifestations of JIA and RA presenting chronic anterior uveitis with non-specific biomarkers for its early detection. We evaluated the role of serum 14-3-3 Eta protein to assess its potential role as a novel biomarker for the early detection of uveitis in Egyptian JIA and RA patients as well as its correlation with disease activity.
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