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Burden of epilepsy ...
Burden of epilepsy in rural Kenya measured in disability-adjusted life years
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- Ibinda, Fredrick (author)
- KEMRI Wellcome Trust Res Programme, Ctr Geog Med Res Coast, Kilifi, Kenya
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- Wagner, Ryan (author)
- Umeå universitet,Institutionen för folkhälsa och klinisk medicin,MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Acornhoek, South Africa
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- Bertram, Melanie Y. (author)
- WHO, CH-1211 Geneva, Switzerland
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- Ngugi, Anthony K. (author)
- KEMRI Wellcome Trust Res Programme, Ctr Geog Med Res Coast, Kilifi, Kenya
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- Bauni, Evasius (author)
- KEMRI Wellcome Trust Res Programme, Ctr Geog Med Res Coast, Kilifi, Kenya
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- Vos, Theo (author)
- Univ Washington, Inst Hlth Metr & Evaluat, Seattle, USA
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- Sander, Josemir W. (author)
- UCL Inst Neurol, NIHR Univ Coll London Hosp Biomed Res Ctr, Dept Clin & Expt Epilepsy, London, England
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- Newton, Charles R. (author)
- KEMRI Wellcome Trust Res Programme, Ctr Geog Med Res Coast, Kilifi, Kenya
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(creator_code:org_t)
- 2014-07-31
- 2014
- English.
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In: Epilepsia. - : John Wiley & Sons. - 0013-9580 .- 1528-1167. ; 55:10, s. 1626-1633
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Abstract
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- ObjectivesThe burden of epilepsy, in terms of both morbidity and mortality, is likely to vary depending on the etiology (primary [genetic/unknown] vs. secondary [structural/metabolic]) and with the use of antiepileptic drugs (AEDs). We estimated the disability-adjusted life years (DALYs) and modeled the remission rates of active convulsive epilepsy (ACE) using epidemiologic data collected over the last decade in rural Kilifi, Kenya.MethodsWe used measures of prevalence, incidence, and mortality to model the remission of epilepsy using disease-modeling software (DisMod II). DALYs were calculated as the sum of Years Lost to Disability (YLD) and Years of Life Lost (YLL) due to premature death using the prevalence approach, with disability weights (DWs) from the 2010 Global Burden of Disease (GBD) study. DALYs were calculated with R statistical software with the associated uncertainty intervals (UIs) computed by bootstrapping.ResultsA total of 1,005 (95% UI 797-1,213) DALYs were lost to ACE, which is 433 (95% UI 393-469) DALYs lost per 100,000 people. Twenty-six percent (113/100,000/year, 95% UI 106-117) of the DALYs were due to YLD and 74% (320/100,000/year, 95% UI 248-416) to YLL. Primary epilepsy accounted for fewer DALYs than secondary epilepsy (98 vs. 334 DALYs per 100,000 people). Those taking AEDs contributed fewer DALYs than those not taking AEDs (167 vs. 266 DALYs per 100,000 people). The proportion of people with ACE in remission per year was estimated at 11.0% in males and 12.0% in females, with highest rates in the 0-5year age group.SignificanceThe DALYs for ACE are high in rural Kenya, but less than the estimates of 2010 GBD study. Three-fourths of DALYs resulted from secondary epilepsy. Use of AEDs was associated with 40% reduction of DALYs. Improving adherence to AEDs may reduce the burden of epilepsy in this area.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
Keyword
- Burden
- Disability-adjusted life years
- Epilepsy
- Remission
- Treatment gap
Publication and Content Type
- ref (subject category)
- art (subject category)
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