48
views
0
recommends
+1 Recommend
3 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Clinical features, proximate causes, and consequences of active convulsive epilepsy in Africa

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Purpose

          Epilepsy is common in sub-Saharan Africa (SSA), but the clinical features and consequences are poorly characterized. Most studies are hospital-based, and few studies have compared different ecological sites in SSA. We described active convulsive epilepsy (ACE) identified in cross-sectional community-based surveys in SSA, to understand the proximate causes, features, and consequences.

          Methods

          We performed a detailed clinical and neurophysiologic description of ACE cases identified from a community survey of 584,586 people using medical history, neurologic examination, and electroencephalography (EEG) data from five sites in Africa: South Africa; Tanzania; Uganda; Kenya; and Ghana. The cases were examined by clinicians to discover risk factors, clinical features, and consequences of epilepsy. We used logistic regression to determine the epilepsy factors associated with medical comorbidities.

          Key Findings

          Half (51%) of the 2,170 people with ACE were children and 69% of seizures began in childhood. Focal features (EEG, seizure types, and neurologic deficits) were present in 58% of ACE cases, and these varied significantly with site. Status epilepticus occurred in 25% of people with ACE. Only 36% received antiepileptic drugs (phenobarbital was the most common drug [95%]), and the proportion varied significantly with the site. Proximate causes of ACE were adverse perinatal events (11%) for onset of seizures before 18 years; and acute encephalopathy (10%) and head injury prior to seizure onset (3%). Important comorbidities were malnutrition (15%), cognitive impairment (23%), and neurologic deficits (15%). The consequences of ACE were burns (16%), head injuries (postseizure) (1%), lack of education (43%), and being unmarried (67%) or unemployed (57%) in adults, all significantly more common than in those without epilepsy.

          Significance

          There were significant differences in the comorbidities across sites. Focal features are common in ACE, suggesting identifiable and preventable causes. Malnutrition and cognitive and neurologic deficits are common in people with ACE and should be integrated into the management of epilepsy in this region. Consequences of epilepsy such as burns, lack of education, poor marriage prospects, and unemployment need to be addressed.

          Related collections

          Most cited references46

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Estimation of the burden of active and life-time epilepsy: A meta-analytic approach

          Purpose To estimate the burden of lifetime epilepsy (LTE) and active epilepsy (AE) and examine the influence of study characteristics on prevalence estimates. Methods We searched online databases and identified articles using prespecified criteria. Random-effects meta-analyses were used to estimate the median prevalence in developed countries and in urban and rural settings in developing countries. The impact of study characteristics on prevalence estimates was determined using meta-regression models. Results The median LTE prevalence for developed countries was 5.8 per 1,000 (5th–95th percentile range 2.7–12.4) compared to 15.4 per 1,000 (4.8–49.6) for rural and 10.3 (2.8–37.7) for urban studies in developing countries. The median prevalence of AE was 4.9 per 1,000 (2.3–10.3) for developed countries and 12.7 per 1,000 (3.5–45.5) and 5.9 (3.4–10.2) in rural and urban studies in developing countries. The estimates of burden for LTE and AE in developed countries were 6.8 million (5th–95th percentile range 3.2–14.7) and 5.7 million (2.7–12.2), respectively. In developing countries these were 45 (14–145) million LTE and 17 (10–133) million AE in rural areas and 17 (5–61) million LTE and 10 (5–17) million AE in urban areas. Studies involving all ages or only adults showed higher estimates than pediatric studies. Higher prevalence estimates were also associated with rural location and small study size. Conclusions This study estimates the global burden of epilepsy and the proportions with AE, which may benefit from treatment. There are systematic differences in reported prevalence estimates, which are only partially explained by study characteristics.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Guidelines for epidemiologic studies on epilepsy. Commission on Epidemiology and Prognosis, International League Against Epilepsy.

            (2015)
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found

              Standards for epidemiologic studies and surveillance of epilepsy.

              Worldwide, about 65 million people are estimated to have epilepsy. Epidemiologic studies are necessary to define the full public health burden of epilepsy; to set public health and health care priorities; to provide information needed for prevention, early detection, and treatment; to identify education and service needs; and to promote effective health care and support programs for people with epilepsy. However, different definitions and epidemiologic methods complicate the tasks of these studies and their interpretations and comparisons. The purpose of this document is to promote consistency in definitions and methods in an effort to enhance future population-based epidemiologic studies, facilitate comparison between populations, and encourage the collection of data useful for the promotion of public health. We discuss: (1) conceptual and operational definitions of epilepsy, (2) data resources and recommended data elements, and (3) methods and analyses appropriate for epidemiologic studies or the surveillance of epilepsy. Variations in these are considered, taking into account differing resource availability and needs among countries and differing purposes among studies. © 2011 International League Against Epilepsy.
                Bookmark

                Author and article information

                Journal
                Epilepsia
                Epilepsia
                epi
                Epilepsia
                Blackwell Publishing Ltd (Oxford, UK )
                0013-9580
                1528-1167
                January 2014
                07 October 2013
                : 55
                : 1
                : 76-85
                Affiliations
                [* ]Centre for Geographic Medicine Research Coast, Kenya Medical Research Institute Kilifi, Kenya
                []Studies of Epidemiology of Epilepsy in Demographic Surveillance Systems (SEEDS)–INDEPTH Network Accra, Ghana
                []Department of Psychiatry, University of Oxford Oxford, United Kingdom
                [§ ]Department of Medicine, Muhimbili University College of Health Science Dar es Salaam, Tanzania
                []Kintampo Health Research Centre Kintampo, Ghana
                [# ]Iganga-Mayuge Health and Demographic Surveillance System Iganga, Kampala, Uganda
                [** ]Department of Paediatrics and Child Health, Makerere University College of Health Sciences Kampala, Uganda
                [†† ]Department of Paediatrics, Ministry of Medical Services Nairobi, Kenya
                [‡‡ ]Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), Faculty of Health Sciences, School of Public Health, University of the Witwatersrand Johannesburg, South Africa
                [§§ ]Research Support Unit, Faculty of Health Sciences, Aga Khan University (East Africa) Nairobi, Kenya
                [¶¶ ]Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine London, United Kingdom
                [## ]Department of Neurophysiology, Great Ormond Street Hospital London, United Kingdom
                [*** ]NIHR University College London Hospitals Biomedical Research Centre, UCL Institute of Neurology, London and Epilepsy Society Chalfont St Peter, Bucks, United Kingdom
                [††† ]SEIN – Stichting Epilepsie Instellingen Nederland Heemstede, The Netherlands
                [‡‡‡ ]Neurosciences Unit, UCL Institute of Child Health London, United Kingdom
                [§§§ ]Clinical Research Unit, London School of Hygiene and Tropical Medicine London, United Kingdom
                Author notes
                Address correspondence to Symon M. Kariuki, PO Box 230 (80108) Kilifi, Kenya. E-mails: skariuki@ 123456kemri-wellcome.org ; symonmkariuki@ 123456gmail.com
                [1]

                The SEEDS writing group members are in Appendix 1.

                Article
                10.1111/epi.12392
                4074306
                24116877
                a74f624d-4778-4ffe-b314-b4de078460e1
                Wiley Periodicals, Inc. © 2013 The Authors. Epilepsia published by Wiley Periodicals, Inc. on behalf of the International League Against Epilepsy.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 August 2013
                Categories
                Full-Length Original Research

                Neurology
                sub-saharan africa,clinical features,active convulsive epilepsy,comorbidity,population-based study

                Comments

                Comment on this article