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Studies of Epilepsy Epidemiology in Demographic Sites (SEEDS)

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1 Studies of Epilepsy Epidemiology in Demographic Sites (SEEDS)
Charles Newton Kenya Medical Research Institute/Wellcome Trust Kilifi, Kenya INDEPTH – SEEDS Group

2 Specific Aims prevalence of active convulsive epilepsy (ACE) in resource poor countries easiest to identify associated with most stigma associated with most mortality can be controlled with inexpensive anti-epileptic drugs attributable fraction of preventable risk factors for ACE particularly preventable causes e.g. parasitic diseases magnitude and risk factors for mortality in epilepsy magnitude and risk factors of the treatment gap

3 SEEDS In Demographic Surveillance System (DSS) sites within the INDEPTH Network Strength of the DSS framework Regular census → accurate denominator Geographically defined populations Infrastructure for efficient and prolonged follow-up Nested within on-going census in the DSS

4 Study Sites Ecological zones 12 INDEPTH sites expressed interest
Kintampo Iganga Kilifi Ifakara Agincourt Ecological zones 12 INDEPTH sites expressed interest 5 DSS sites chosen for endemicity of parasitic risk factors Neurocysticersosis Toxocara sp Toxoplasmosis Onchocerciasis Malaria cost and logistical

5 SEEDS study sites Total 685,000 HDSS Site Country Population
Census per yr Agincourt South Africa 84,000 1 Ifakara Tanzania 93,000 3 Iganga/Mayuge Uganda 68,000 Kilifi Kenya 260,000 2 Kintampo Ghana 130,000 Total 685,000

6 Ongoing surveillance of a well defined population, with personal identifiers mapped in a demarcated study area – Demographic Surveillance System Schema of the studies Survey in each DSS site Study A: Prevalence of Active Convulsive Epilepsy (ACE) Identify cases for case-control study Study B: Identification of risk factors for the development of ACE Identify cases accessing and using treatment Study C: Identification of magnitude and risk factors for the treatment gap Identification of cohort to be followed up for 3-4 years Study D: Calculation of risk ratio for death Deaths Study E: Identification of risk factors for death

7 Surveys to estimate prevalence of ACE
Stage II Epilepsy field team 10 item tool Possible ACE identified High specificity Stage III Clinical exam Diagnosis of ACE Classification Confirmation Stage I Census team 2 item tool History of convulsions High sensitivity

8 Survey tools Questionnaires based on those used in international studies Terminology – derived from FGD Pre-tested outside the study areas Refined by field workers during training Forward translation into vernacular and independent back translation into English Reliability: questions repeated in Stages I & II

9 Eligible population (current census)
3-stage method STAGE I Eligible population (current census) Survey Arm Validation Arm Screened in Stage I STAGE II Positive Pop. Sample; = 5,000* Negative STAGE III Positive Positive Positive Positive Negative

10 Summary of ACE prevalence
Site Population Cases of ACE Cases fulfilled definition of residency Crude prevalence (95% CI) Adjusted prevalence Controls Kilifi 233,881 762 699 3.0 ( ) 3.8 ( ) 525 Agincourt 82,917 232 191 2.3 ( ) 2.7 ( ) 286 Iganga 68,808 278 134 2.4 ( ) 5.5 ( ) 247 Ifakara 99,375 442 353 3.6 ( ) 6.5 ( ) 567 Kintampo 135,172 - TOTAL 620,151 1,714 1,377 1,625

11 Problems encountered Sites differed with regards:
terminology for convulsions/seizures Depends upon the perceived cause of epilepsy methods of census data handling single entry data brought on a weekly rather than daily delay in entering the census data population mobile Any delays between the stages resulted in lost to follow-up

12 Future SEEDS studies Verbal Autopsy data on epilepsy
Mathew Alexander, Ifakara, Tanzania Cost effectiveness study Ryan Wagner, Agincourt, South Africa Psychiatric co-morbidity Kintampo Funding for survey in other sites Pune, Hanif Shaikh Genetic studies Definition of the phenotype

13 Acknowledgements Kilifi, Kenya Ifakara, Tanzania Kintampo, Ghana
Anthony Ngugi Eddie Chengo Rachael Odhiambo Caroline Kathomi Evasius Bauni Tom Williams Anthony Scott Agincourt, South Africa Ryan Wagner Mark Collison Rhian Twine Xavier Gomes Kathy Kahn Steve Tollman Iganga/Muyage, Uganda Angelina Kakooza Donald Ndyomughenyi Stephan Petersen Georges Pariyo Ifakara, Tanzania Mathew Alexander Honorati Masanja Kintampo, Ghana Bright Akpalu Ken Ae-Ngebise Albert Akpalu Seth Owusu-Agyei University College London, UK Brian Neville Ley Sander Tim Cox Steve White Institute of Psychiatry, London, UK Martin Prince Victor Doku London School of Hygiene and Tropical Medicine, UK Christian Bottomley Immo Kleinschmidt Andy Hall

14 Future Neurological studies
Stroke Myles Connor: Parkinson’s disease Richard Walker:

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