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Change in the Frequency of Seizure Attacks and Associated Factors Among Adult Epilepsy Patients at Amanuel Mental Specialized Hospital (AMSH): A Generalized Linear Mixed Model (GLMM)

BACKGROUND: While getting anti-epileptic drugs (AEDs) treatment around two-thirds of the patients with epilepsy enter a seizure-free state, but some of them continue to experience seizures which increase the risk of accident, disability, death, and treatment side effects. Therefore, this study aimed...

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Autores principales: Raru, Temam Beshir, Geremew, Bisrat Misganaw, Tamirat, Koku Sisay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349547/
https://www.ncbi.nlm.nih.gov/pubmed/34376982
http://dx.doi.org/10.2147/NDT.S316769
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author Raru, Temam Beshir
Geremew, Bisrat Misganaw
Tamirat, Koku Sisay
author_facet Raru, Temam Beshir
Geremew, Bisrat Misganaw
Tamirat, Koku Sisay
author_sort Raru, Temam Beshir
collection PubMed
description BACKGROUND: While getting anti-epileptic drugs (AEDs) treatment around two-thirds of the patients with epilepsy enter a seizure-free state, but some of them continue to experience seizures which increase the risk of accident, disability, death, and treatment side effects. Therefore, this study aimed to identifychanges in the frequency of seizure attacks overtime and associated factors among adult patients with epilepsy. METHODS: A retrospective two year follow-up study was conducted among adult patients with epilepsy who initiated AEDs between July 2017 and June 2019. A simple random sampling technique was applied to select 394 patient charts. The data were entered into Epi-data and then exported to R software for further analysis. A generalized linear mixed model under a negative binomial family was applied to identify determinants of the frequency of seizure attacks. RESULTS: The median number of seizure attacks at baseline were 3 with the IQR of 2 and on average the frequency of seizure attacks decrease in a linear pattern over time. Age group 25–34 years (AIRR = 0.81 and 95% CI: 0.69–0.94), smoking (AIRR = 1.28 and 95% CI: 1.11–1.48), khat use (AIRR = 1.39 and 95% CI: 1.19–1.62), sleep deprivation (AIRR = 1.49 and 95% CI: 1.32–1.69), head injury (AIRR = 1.30 and 95% CI: 1.11–1.53), depression (AIRR = 1.39 and 95% CI: 1.17–1.65), treatment mode (AIRR= 1.22 and 95% CI: 1.07–1.39), and clumsiness (AIRR= 1.85 and 95% CI: 1.24–2.75) were statistically significant seizure predicting factors. CONCLUSION: The number of seizure attack changes over time was decreased by a linear function that might reflect treatment effects of AEDs. Smokers, khat chewers, suffering a head injury, depression, experienced sleep deprivation, and clumsiness increases the number of seizure attacks. Conversely, the age group 25–34 years saw a decrease in the number of seizure attacks. This underscores that special attention should be given to substance users and those with related mental health disorders.
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spelling pubmed-83495472021-08-09 Change in the Frequency of Seizure Attacks and Associated Factors Among Adult Epilepsy Patients at Amanuel Mental Specialized Hospital (AMSH): A Generalized Linear Mixed Model (GLMM) Raru, Temam Beshir Geremew, Bisrat Misganaw Tamirat, Koku Sisay Neuropsychiatr Dis Treat Original Research BACKGROUND: While getting anti-epileptic drugs (AEDs) treatment around two-thirds of the patients with epilepsy enter a seizure-free state, but some of them continue to experience seizures which increase the risk of accident, disability, death, and treatment side effects. Therefore, this study aimed to identifychanges in the frequency of seizure attacks overtime and associated factors among adult patients with epilepsy. METHODS: A retrospective two year follow-up study was conducted among adult patients with epilepsy who initiated AEDs between July 2017 and June 2019. A simple random sampling technique was applied to select 394 patient charts. The data were entered into Epi-data and then exported to R software for further analysis. A generalized linear mixed model under a negative binomial family was applied to identify determinants of the frequency of seizure attacks. RESULTS: The median number of seizure attacks at baseline were 3 with the IQR of 2 and on average the frequency of seizure attacks decrease in a linear pattern over time. Age group 25–34 years (AIRR = 0.81 and 95% CI: 0.69–0.94), smoking (AIRR = 1.28 and 95% CI: 1.11–1.48), khat use (AIRR = 1.39 and 95% CI: 1.19–1.62), sleep deprivation (AIRR = 1.49 and 95% CI: 1.32–1.69), head injury (AIRR = 1.30 and 95% CI: 1.11–1.53), depression (AIRR = 1.39 and 95% CI: 1.17–1.65), treatment mode (AIRR= 1.22 and 95% CI: 1.07–1.39), and clumsiness (AIRR= 1.85 and 95% CI: 1.24–2.75) were statistically significant seizure predicting factors. CONCLUSION: The number of seizure attack changes over time was decreased by a linear function that might reflect treatment effects of AEDs. Smokers, khat chewers, suffering a head injury, depression, experienced sleep deprivation, and clumsiness increases the number of seizure attacks. Conversely, the age group 25–34 years saw a decrease in the number of seizure attacks. This underscores that special attention should be given to substance users and those with related mental health disorders. Dove 2021-08-04 /pmc/articles/PMC8349547/ /pubmed/34376982 http://dx.doi.org/10.2147/NDT.S316769 Text en © 2021 Raru et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Raru, Temam Beshir
Geremew, Bisrat Misganaw
Tamirat, Koku Sisay
Change in the Frequency of Seizure Attacks and Associated Factors Among Adult Epilepsy Patients at Amanuel Mental Specialized Hospital (AMSH): A Generalized Linear Mixed Model (GLMM)
title Change in the Frequency of Seizure Attacks and Associated Factors Among Adult Epilepsy Patients at Amanuel Mental Specialized Hospital (AMSH): A Generalized Linear Mixed Model (GLMM)
title_full Change in the Frequency of Seizure Attacks and Associated Factors Among Adult Epilepsy Patients at Amanuel Mental Specialized Hospital (AMSH): A Generalized Linear Mixed Model (GLMM)
title_fullStr Change in the Frequency of Seizure Attacks and Associated Factors Among Adult Epilepsy Patients at Amanuel Mental Specialized Hospital (AMSH): A Generalized Linear Mixed Model (GLMM)
title_full_unstemmed Change in the Frequency of Seizure Attacks and Associated Factors Among Adult Epilepsy Patients at Amanuel Mental Specialized Hospital (AMSH): A Generalized Linear Mixed Model (GLMM)
title_short Change in the Frequency of Seizure Attacks and Associated Factors Among Adult Epilepsy Patients at Amanuel Mental Specialized Hospital (AMSH): A Generalized Linear Mixed Model (GLMM)
title_sort change in the frequency of seizure attacks and associated factors among adult epilepsy patients at amanuel mental specialized hospital (amsh): a generalized linear mixed model (glmm)
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349547/
https://www.ncbi.nlm.nih.gov/pubmed/34376982
http://dx.doi.org/10.2147/NDT.S316769
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