Burden of epilepsy in rural Kenya measured in disability-adjusted life years

被引:16
|
作者
Ibinda, Fredrick [1 ]
Wagner, Ryan G. [2 ,3 ]
Bertram, Melanie Y. [4 ]
Ngugi, Anthony K. [1 ,5 ]
Bauni, Evasius [1 ]
Vos, Theo [6 ]
Sander, Josemir W. [7 ,8 ,9 ]
Newton, Charles R. [1 ,2 ,10 ,11 ]
机构
[1] KEMRI Wellcome Trust Res Programme, Ctr Geog Med Res Coast, Kilifi, Kenya
[2] Univ Witwatersrand, Sch Publ Hlth, MRC Wits Rural Publ Hlth & Hlth Transit Res Unit, Fac Hlth Sci, Acornhoek, South Africa
[3] Umea Univ, Dept Publ Hlth & Clin Med, Umea, Sweden
[4] WHO, CH-1211 Geneva, Switzerland
[5] Aga Khan Univ East Africa, Res Support Unit, Fac Hlth Sci, Nairobi, Kenya
[6] Univ Washington, Inst Hlth Metr & Evaluat, Seattle, WA 98195 USA
[7] UCL Inst Neurol, NIHR Univ Coll London Hosp Biomed Res Ctr, Dept Clin & Expt Epilepsy, London, England
[8] Epilepsy Soc, Gerrards Cross, Bucks, England
[9] SEIN, Heemstede, Netherlands
[10] UCL, Inst Child Hlth, Neurosci Unit, London, England
[11] Univ Oxford, Dept Psychiat, Oxford, England
基金
英国惠康基金;
关键词
Burden; Disability-adjusted life years; Epilepsy; Remission; Treatment gap; ACTIVE CONVULSIVE EPILEPSY; VERBAL AUTOPSY; GLOBAL BURDEN; TREATMENT GAP; POPULATION; DISEASE; PREVALENCE; SURVEILLANCE; HEALTH; KILIFI;
D O I
10.1111/epi.12741
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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.
引用
收藏
页码:1626 / 1633
页数:8
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