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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Clinical Spectrum, EEG and Neuroimaging Abnormalities in Infants and Children with Seizure Disorders: A Cross-Sectional Study

Authors: Narayan Prasad Modi; Ramamani Dalai; Sunil Kumar Agarwalla; Kali Prasanna Swain; Anwesha Das;

Clinical Spectrum, EEG and Neuroimaging Abnormalities in Infants and Children with Seizure Disorders: A Cross-Sectional Study

Abstract

Background: Seizures are the most common neurological disorder with 4-10% of children suffering at least one seizure in the first 16 years of life. No recent study from Eastern part of India has described the epidemiology of seizure disorder in children. Materials and Methods: This prospective study included children of 1 to 14 yrs with seizure disorder on AEDs over two-year period. Clinical and investigation details (EEG, imaging, and laboratory results) were recorded in pre-designed proforma. Data were analyzed with appropriate statistics Results: A total of 210 children were included. The most common age group was 5-10 years (40%) followed by 1-5 years age group (30.5%). The least common age group was infants (<1 year, 8.6%). Males were more commonly affected (53%) as compared to females (47%) with a male to female ratio of 1:1.2. Majority were generalised seizures. The most common underlying etiology was infective followed by epilepsy. EEG was abnormal in 73%, MRI abnormal in 70%, and CT brain abnormal in 45%. There was no significant association between the gender and the type of seizure or between the type of EEG abnormality and the type of seizure seen. There was a statistically significant relationship between the type of seizure and the MRI scan abnormality (p-value = 0.04). Conclusion: This study described the clinical, laboratory and imaging finding in children with seizure disorder from Eastern India. Future studies should follow up children with seizure disorder to see the change in profile, imaging abnormalities, and outcomes.

Background: Seizures are the most common neurological disorder with 4-10% of children suffering at least one seizure in the first 16 years of life. No recent study from Eastern part of India has described the epidemiology of seizure disorder in children. Materials and Methods: This prospective study included children of 1 to 14 yrs with seizure disorder on AEDs over two-year period. Clinical and investigation details (EEG, imaging, and laboratory results) were recorded in pre-designed proforma. Data were analyzed with appropriate statistics Results: A total of 210 children were included. The most common age group was 5-10 years (40%) followed by 1-5 years age group (30.5%). The least common age group was infants (<1 year, 8.6%). Males were more commonly affected (53%) as compared to females (47%) with a male to female ratio of 1:1.2. Majority were generalised seizures. The most common underlying etiology was infective followed by epilepsy. EEG was abnormal in 73%, MRI abnormal in 70%, and CT brain abnormal in 45%. There was no significant association between the gender and the type of seizure or between the type of EEG abnormality and the type of seizure seen. There was a statistically significant relationship between the type of seizure and the MRI scan abnormality (p-value = 0.04). Conclusion: This study described the clinical, laboratory and imaging finding in children with seizure disorder from Eastern India. Future studies should follow up children with seizure disorder to see the change in profile, imaging abnormalities, and outcomes.

Related Organizations
Keywords

Epilepsy, observational study, neuroimaging, prevalence, developing country.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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