Epilepsy in elderly people.
Ontology highlight
ABSTRACT:
SUBMITTER: Brodie MJ
PROVIDER: S-EPMC1298856 | biostudies-literature | 2005 Dec
REPOSITORIES: biostudies-literature
Publications
Epilepsy in elderly people.
Brodie Martin J MJ Kwan Patrick P
BMJ (Clinical research ed.) 20051201 7528
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Project description:PurposeDuring COVID-19 pandemic the global population is facing an important psychosocial distress. The aim of this study was to evaluate how people with epilepsy (PWE) in Brazil is dealing with the pandemic, in relation to seizure frequency, access to antiseizure medicines (ASM), medical follow-up, and well-being.MethodsAn online questionnaire survey among PWE (group 1) and caregivers (group 2) was applied in the social networks of the Brazilian Association of Epilepsy, the official Brazilian chapter of the International Bureau for Epilepsy. The questionnaire was composed of 46 generic questions in four areas, namely, demographics and baseline clinical data as well as epilepsy and quality-of-life impact by COVID-19 pandemic based on the domains of the abbreviated World Health Organization Quality of Life (WHOQOL-BREF) instrument.ResultsThe questionnaire was answered by 464 participants including 380 (81.9%) PWE (78.7% female; age 34.3 yrs.; ±9.76) and 84 (18.1%) caregivers (patients' age 14.1 yrs.; ±10.30). During the COVID-19 pandemic, 36.8% of PWE and 36.4% of caregivers reported difficulties in accessing the epilepsy healthcare provider, and visits occurred normally only in 29.7% of PWE and in 34.5% of the caregiveŕs group. Telehealth was not provided for 66.6% of group 1 and for 58.5% of group 2. Lack of availability of ASM was reported by 21.9% of PWE and 28.0% of caregivers in public dispensing units and by 19.2% and 17.8%, respectively, in private pharmacies. Increase in seizures during pandemic was mentioned by 26.3% and 27.9% of groups 1 and 2, respectively. Patients who had increase in seizure frequency had more frequently reported problems with treatment and in quality-of-life concepts. Fear of having a more severe COVID-19 presentation because of epilepsy was reported by 74.5% of PWE and by 89.8% of caregivers. Dissatisfaction with current health status was reported by 36.7% and 38.1% in groups 1 and 2, respectively, and that the support from others has decreased (56.1% and 66.1%, in groups 1 and 2) during the pandemic. The factors with higher Odds Ratio of increase in seizure frequency during pandemic were age >41 yrs., treatment in public healthcare system, drug-resistant epilepsy, adversities in getting ASM in public dispensing units, difficulties with prescription renewals, current financial problems and belief that epilepsy or ASM are risk factors for contracting COVID-19.ConclusionDuring COVID-19 pandemic in Brazil, PWE and caregivers reported increase in seizures in one-fourth of the patients and several difficulties, namely problems in accessing the healthcare system including ASM dispensation, telehealth, and fear of having a more severe COVID-19 because of epilepsy. There were also physical, psychological, and social concerns which affected quality-of-life-related aspects in this population. These facts may increase treatment gap in epilepsy in Brazil as well in other developing countries.
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Project description:BackgroundUncertain validity of epilepsy diagnoses within health insurance claims and other large datasets have hindered efforts to study and monitor care at the population level.ObjectivesTo develop and validate prediction models using longitudinal Medicare administrative data to identify patients with actual epilepsy among those with the diagnosis.Research design, subjects, measuresWe used linked electronic health records and Medicare administrative data including claims to predict epilepsy status. A neurologist reviewed electronic health record data to assess epilepsy status in a stratified random sample of Medicare beneficiaries aged 65+ years between January 2012 and December 2014. We then reconstructed the full sample using inverse probability sampling weights. We developed prediction models using longitudinal Medicare data, then in a separate sample evaluated the predictive performance of each model, for example, area under the receiver operating characteristic curve (AUROC), sensitivity, and specificity.ResultsOf 20,945 patients in the reconstructed sample, 2.1% had confirmed epilepsy. The best-performing prediction model to identify prevalent epilepsy required epilepsy diagnoses with multiple claims at least 60 days apart, and epilepsy-specific drug claims: AUROC=0.93 [95% confidence interval (CI), 0.90-0.96], and with an 80% diagnostic threshold, sensitivity=87.8% (95% CI, 80.4%-93.2%), specificity=98.4% (95% CI, 98.2%-98.5%). A similar model also performed well in predicting incident epilepsy (k=0.79; 95% CI, 0.66-0.92).ConclusionsPrediction models using longitudinal Medicare data perform well in predicting incident and prevalent epilepsy status accurately.
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Project description:Zonisamide (ZNS), a second-generation antiepileptic drug, indicated as add-on treatment of focal epilepsy, has been recently approved as monotherapy for the treatment of partial seizures in adults affected by newly diagnosed epilepsy in Europe. Evidence on the efficacy and tolerability of antiepileptic drugs in the elderly is still lacking as these patients are frequently excluded from clinical trials. Here, a comprehensive overview of available data regarding the use of ZNS in the treatment of epilepsy in elderly people is provided. In a pooled analysis conducted in patients aged ≥65 years, no new/unexpected safety findings have emerged. Few data from uncontrolled investigations suggest that ZNS may be effective and well tolerated when administered as monotherapy or adjunctive antiepileptic treatment in the elderly. However, evidence from these observational studies is less than satisfactory, and randomized controlled trials focused on these patients are still needed.
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Project description:The nasal epithelium represents the first line of defense against inhaled pathogens, allergens, and irritants and plays a key role in the pathogenesis of a spectrum of acute and chronic airways diseases. Despite age-dependent clinical phenotypes triggered by these noxious stimuli, little is known about how ageing affects the structure and function of the airway epithelium that is crucial for lung homeostasis and host defense. The aim of this study was therefore to determine age-related differences in structural and functional properties of primary nasal epithelial cultures from healthy children and non-smoking elderly people. To achieve this goal, highly differentiated nasal epithelial cultures were established from nasal brushes at air-liquid-interface and used to study epithelial cell type composition, mucin (MUC5AC and MUC5B) expression and ion transport properties. Further, we determined age-dependent molecular signatures using global proteomic analysis. We found lower numeric densities of ciliated cells and higher levels of MUC5AC expression in cultures from children vs. elderly people. Bioelectric studies showed no differences in basal ion transport properties, ENaC-mediated sodium absorption or CFTR-mediated chloride transport, but detected decreased calcium-activated TMEM16A-mediated chloride secretory responses in cultures from children vs. elderly people. Proteome analysis identified distinct age-dependent molecular signatures associated with ciliation and mucin biosynthesis, as well as other pathways implicated in ageing. Our data identified intrinsic, age-related differences in structure and function of the nasal epithelium and provide a basis for further studies on the role of these findings in age-dependent airways disease phenotypes observed with a spectrum of respiratory infections and other noxious stimuli.
2022-02-28 | PXD030130 | Pride
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Project description:BackgroundTelemedicine can alleviate the increasing demand for elderly care caused by the rapidly aging population. However, user adherence to technology in telemedicine interventions is low and decreases over time. Therefore, there is a need for methods to increase adherence, specifically of the elderly user. A strategy that has recently emerged to address this problem is gamification. It is the application of game elements to nongame fields to motivate and increase user activity and retention.ObjectiveThis research aims to (1) provide an overview of existing theoretical frameworks for gamification and explore methods that specifically target the elderly user and (2) explore user classification theories for tailoring game content to the elderly user. This knowledge will provide a foundation for creating a new framework for applying gamification in telemedicine applications to effectively engage the elderly user by increasing and maintaining adherence.MethodsWe performed a broad Internet search using scientific and nonscientific search engines and included information that described either of the following subjects: the conceptualization of gamification, methods to engage elderly users through gamification, or user classification theories for tailored game content.ResultsOur search showed two main approaches concerning frameworks for gamification: from business practices, which mostly aim for more revenue, emerge an applied approach, while academia frameworks are developed incorporating theories on motivation while often aiming for lasting engagement. The search provided limited information regarding the application of gamification to engage elderly users, and a significant gap in knowledge on the effectiveness of a gamified application in practice. Several approaches for classifying users in general were found, based on archetypes and reasons to play, and we present them along with their corresponding taxonomies. The overview we created indicates great connectivity between these taxonomies.ConclusionsGamification frameworks have been developed from different backgrounds-business and academia-but rarely target the elderly user. The effectiveness of user classifications for tailored game content in this context is not yet known. As a next step, we propose the development of a framework based on the hypothesized existence of a relation between preference for game content and personality.
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