We have located links that may give you full text access.
Factors associated with seizure severity among children with epilepsy in Northern Nigeria.
Ghana Medical Journal 2022 March
Objective: To describe how seizure severity in children with epilepsy may be affected by certain socio-demographic and clinical variables.
Design: A cross-sectional study.
Setting: At the Abubakar Tafawa Balewa University Teaching Hospital, Bauchi, Nigeria.
Participants: Sixty children and adolescents who were being followed up for seizure disorder at the child neurology clinic.
Intervention: Information on socio-demographic characteristics was obtained with a questionnaire, details of neurological co-morbidities were extracted from the participants' records, and seizure severity was assessed with the National Hospital Seizure Severity Score 3 tool.
Main Outcome Measure: Chi-square test was used to establish the relationship between categorical variables, while the Independent t-test was used in describing the differences between means. Simple linear regression was calculated to assess the predictability of seizure severity.
Result: The median age was ten years (IQR = 6-13 years), with a male dominance (1.5:1). The Seizure Severity Score (SSS) ranged between 3 and 24 units, with a mean of 12.22 ± 4.29 units. The only characteristic that had a significant association with SSS on bivariate analysis was the "presence of co-morbidities" (p=0.019). A simple linear regression revealed that the presence of a neurological co-morbidity predicted an increase in the SSS by 2.67 units. [R2 = 0.091, F (1, 58)= 5.837, p = 0.019. β = 2.67, t= 2.42, p= 0.019.].
Conclusion: This study shows that neurological co-morbidities predict worsening seizure severity. This knowledge may influence prognostication and the charting of a treatment trajectory.
Funding: No external funding.
Design: A cross-sectional study.
Setting: At the Abubakar Tafawa Balewa University Teaching Hospital, Bauchi, Nigeria.
Participants: Sixty children and adolescents who were being followed up for seizure disorder at the child neurology clinic.
Intervention: Information on socio-demographic characteristics was obtained with a questionnaire, details of neurological co-morbidities were extracted from the participants' records, and seizure severity was assessed with the National Hospital Seizure Severity Score 3 tool.
Main Outcome Measure: Chi-square test was used to establish the relationship between categorical variables, while the Independent t-test was used in describing the differences between means. Simple linear regression was calculated to assess the predictability of seizure severity.
Result: The median age was ten years (IQR = 6-13 years), with a male dominance (1.5:1). The Seizure Severity Score (SSS) ranged between 3 and 24 units, with a mean of 12.22 ± 4.29 units. The only characteristic that had a significant association with SSS on bivariate analysis was the "presence of co-morbidities" (p=0.019). A simple linear regression revealed that the presence of a neurological co-morbidity predicted an increase in the SSS by 2.67 units. [R2 = 0.091, F (1, 58)= 5.837, p = 0.019. β = 2.67, t= 2.42, p= 0.019.].
Conclusion: This study shows that neurological co-morbidities predict worsening seizure severity. This knowledge may influence prognostication and the charting of a treatment trajectory.
Funding: No external funding.
Full text links
Related Resources
Trending Papers
Proximal versus distal diuretics in congestive heart failure.Nephrology, Dialysis, Transplantation 2024 Februrary 30
World Health Organization and International Consensus Classification of eosinophilic disorders: 2024 update on diagnosis, risk stratification, and management.American Journal of Hematology 2024 March 30
Heart failure with preserved ejection fraction: diagnosis, risk assessment, and treatment.Clinical Research in Cardiology : Official Journal of the German Cardiac Society 2024 April 12
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app