Background: Over one-fourth of new onset epilepsy occurs after age 60. However, the burden of epilepsy and other seizure disorders among this special population in Africa is largely unknown, despite a growingnumber of elderly persons on the continent. This study aimed to assess the prevalence and risk factors for epilepsy among persons aged 60 years or older in Africa.
Methods: We conducted a systematic review by searching MEDLINE (via) and EMBASE databases from inception to 30th October 2020. Primary researches reporting prevalence or incidence of seizures or epilepsy in older persons (≥60 years) were included. Review articles were excluded.
Results: We retrieved 107 citations from which 4 studies, recruiting 10, 334 participants were eligible. The studies were conducted between 1999 and 2018 and published between 2005 and 2019. Two of the studies were conducted in the West African countries of Niger and Senegal; meanwhile, the remaining 2 were conducted in East African country of Tanzania. Regarding study design, three were either hospital-based or community-based cross-sectional studies. Meanwhile, 1 was a retrospective hospital-based study. Of the 10,334 participants, 81 (0.78%) had a seizure disorder. The prevalence of seizure ranged from 0.02% to 3.2%.
Conclusion: There are limited data on the prevalence of epilepsy in older persons in older adults in most countries in sub-Saharan Africa. Epilepsy among the older adults remains a challenge in Africa and more information is needed to understand the burden to improve care.
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http://dx.doi.org/10.2147/NDT.S322884 | DOI Listing |
Epilepsy Behav
January 2025
Dursun Odabaş Medical Center, Van Yüzüncü Yıl University, Van, Turkey. Electronic address:
Objective: This study was conducted to investigate the relationship between caregiver burden and life satisfaction among caregivers of individuals with epilepsy.
Methods: This descriptive and cross-sectional study was conducted with 210 caregivers at a university hospital located in Van, a province in eastern Türkiye. A personal information form prepared by the researcher based on literature, along with The Caregiver Burden Scale and Life Satisfaction Scale, was used to collect data.
J Clin Med
January 2025
Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), 39100 Bolzano, Italy.
: This study investigates the potential of artificial intelligence (AI), specifically large language models (LLMs) like ChatGPT, to enhance decision support in diagnosing epilepsy. AI tools can improve diagnostic accuracy, efficiency, and decision-making speed. The aim of this study was to compare the level of agreement in epilepsy diagnosis between human experts (epileptologists) and AI (ChatGPT), using the 2014 International League Against Epilepsy (ILAE) criteria, and to identify potential predictors of diagnostic errors made by ChatGPT.
View Article and Find Full Text PDFBMJ Open
January 2025
Leicestershire Partnership NHS Trust, Leicester, UK.
Objective: Explore the nature and prevalence of long-term conditions in individuals with intellectual disability.
Design: Retrospective longitudinal population-based study.
Setting: Primary and secondary care data across the population of Wales with the Secure Anonymised Information Linkage (SAIL) Databank.
Seizure
January 2025
Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan. Electronic address:
Background: Epilepsy is a chronic neurological disorder with a burden of comorbidities. Knowledge regarding sarcopenia prevalence and associated risk factors in patients with epilepsy remains limited, which prompted us to conduct the present study.
Methods: This cross-sectional study enrolled patients with epilepsy from our epilepsy clinic and controls from the staff at National Cheng Kung University Hospital, Tainan, Taiwan.
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