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Detection of Electroencephalographic Abnormalities and Its Associated Factors among Children with Autism Spectrum Disorder in Thailand.
- Source :
- Healthcare (2227-9032); Oct2022, Vol. 10 Issue 10, pN.PAG-N.PAG, 12p
- Publication Year :
- 2022
-
Abstract
- Epilepsy often causes more severe behavioral problems in children with autism spectrum disorder (ASD) and is strongly associated with poor cognitive functioning. Interestingly, individuals with ASD without a history of epilepsy can have abnormal electroencephalographic (EEG) activity. The aim of this study was to examine associations between EEG abnormalities and the ASD severity in children. The children with ASD who enrolled at the Rajanagarindra Institute of Child Development, Thailand were included in this study. The severity of ASD was measured by interviewing their parents with the Thai autism treatment evaluation checklist. The short sensory profile checklist was used for screening the abnormality of children in each domain. Ordinal logistic regression analysis was used to examine associations between factors potentially linked to EEG abnormalities. Most of the study participants were boys (87.5%) and the median age was 5 years. Among the 128 children, 69.5% showed EEG abnormalities (41.4% slow-wave and 28.1% epileptiform-discharge). The results show that a larger number of symptoms and increased severity of ASD were independently associated with a higher risk of EEG abnormalities. Our results emphasize the need for guidelines on the presence of EEG abnormalities in children with ASD for the early detection of epilepsy and improving treatment outcomes. [ABSTRACT FROM AUTHOR]
- Subjects :
- DIAGNOSIS of epilepsy
EPILEPSY risk factors
ELECTROENCEPHALOGRAPHY
CONFIDENCE intervals
PREDICTIVE tests
CROSS-sectional method
EPILEPSY
MULTIPLE regression analysis
MEDICAL screening
INTERVIEWING
FISHER exact test
SEVERITY of illness index
RISK assessment
AUTISM
DESCRIPTIVE statistics
EPILEPTIFORM discharges
DISEASE prevalence
RESEARCH funding
ODDS ratio
RECEIVER operating characteristic curves
LOGISTIC regression analysis
DATA analysis software
SENSITIVITY & specificity (Statistics)
LONGITUDINAL method
PARENTS
DISEASE complications
EVALUATION
SYMPTOMS
CHILDREN
Subjects
Details
- Language :
- English
- ISSN :
- 22279032
- Volume :
- 10
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- Healthcare (2227-9032)
- Publication Type :
- Academic Journal
- Accession number :
- 159871484
- Full Text :
- https://doi.org/10.3390/healthcare10101969