Epidemiology of epilepsy in rural Benin: prevalence, incidence, mortality, and follow-up.

PURPOSE: Epilepsy is a major clinical and social issue in Africa. This study was conducted to estimate the prevalence, incidence, mortality, and therapeutic outcome in rural Djidja in Benin. METHODS: This was a two-phase study with a cross-sectional phase and 18 months of follow-up. In the first phase, information was obtained using door-to-door surveys, reports from key informants, and medical sources. People were interviewed using a validated screening questionnaire for epilepsy in tropical regions. The diagnosis of epilepsy was confirmed by a neurologist. We used a capture-recapture method to estimate the number of people with epilepsy (PWE). PWE were followed every month for 18 months after the cross-sectional survey. We asked the health services, the general population, and village leaders in the study area to identify suspected cases of epilepsy occurring during the follow-up. New cases were updated every month after confirmation. Antiepileptic drugs were prescribed to PWE. KEY FINDINGS: We surveyed 11,668 subjects (male-to-female ratio 0.9) and identified 123 PWE, yielding a prevalence of 10.5 per 1,000 (95% confidence interval (CI) 8.8-12.6/1,000). Combining the three sources, we found 148 PWE and a prevalence of 12.7 per 1,000 (95% CI 10.7-14.9/1,000). After application of the capture-recapture method, the prevalence was estimated to be as high as 38.4 per 1,000 (95% CI 34.9-41.9/1,000). The cumulative incidence was 104.2 per 100,000 and the mean annual incidence was 69.4 per 100,000. The mean annual mortality was 20.8 per 1,000. After treatment, 45% of PWE had total seizure remission and 35% had a decrease in the number of seizures. SIGNIFICANCE: This study shows that door-to-door survey findings could be improved by using information from other sources. The follow-up suggests that epilepsy could be controlled. Continuous drug delivery and regular follow-up are key.

Mental and neurological health research priorities setting in developing countries.

INTRODUCTION: A multi-region consultation process designed to generate locally produced regional and global research priorities on mental and neurological health in low- and middle-income countries. METHODS: Between 2003 and 2005, priority setting exercises on MNH research, using the systematic combined approach matrix (CAM) were held in the six regions of the developing world. One regional meeting per region was convened, and a global meeting was organized before and after the regional exercises. RESULTS: During regional meetings, regional agendas were created listing both research priorities and local problems in MNH. During global meetings, a global research agenda was established and four crucial areas of research priorities were identified: awareness and advocacy, enhancement of research capacity, training for service delivery, and development of evidence based policy. CONCLUSIONS: The combined matrix approach enabled the development of regional and global MNH research agendas, derived from bottom up consultations within and between low- and middle-income countries. Collaboration between regions with similar priorities was instituted. Such research agendas are designed to assist policy-makers and donors in the allocation of scarce resources, but they require regular review to reflect changing needs.

Prevention of venous thromboembolism among inpatients at Cotonou teaching hospital, Benin.

AIM: The aim of this retrospective study was to evaluate the use and appropriateness of preventive measures for venous thrombosis among adult inpatients in a Benin teaching hospital. PATIENTS AND METHODS: All patients were systematically enrolled. The risk of venous thrombosis was estimated according to international guidelines. Thromboembolic events were diagnosed using the Wells score and, when possible, by paraclinical investigations. The following variables were studied: the risk of venous thrombosis, the use and appropriateness of preventive measures, and the frequency of thromboembolic events. The data were analyzed with Epiinfo 6.04.fr and SPSS software, and significance was assumed at p=0.05. RESULTS: The study population consisted of 487 patients recruited in four surgical wards, four general wards and one obstetric-gynecology ward. Mean age was 38.7+/-11.3 years and the sex ratio 0.51. The risk of thrombosis was considered low in 15% of patients, moderate in 60.8%, high in 21.1% and very high in 3.1%. Prophylactic measures were prescribed to 33.9% of the patients overall, 53.6% in the obstetric gynecology ward, 28.5% in the surgical wards and 12.9% in the general wards. The frequency of preventive measures rose with the level of risk (p<0.0001). Preventive measures consisted of passive mobilization, aspirin, enoxaparin and acenocoumarol. The prescriptions were appropriate in only 6% of cases. Among 198 patients who were monitored for two months after hospital discharge, 8% had a venous thromboembolic event. Such events were more frequent in the absence of prophylaxis (12% vs 3.3%, p=0.02). CONCLUSION: The risk of venous thromboembolic is recognized but poorly managed in this Bénin teaching hospital.

Link between epilepsy and malnutrition in a rural area of Benin.

PURPOSE: Epilepsy and malnutrition are both important public health problems in sub-Saharan Africa. A relationship between epilepsy and malnutrition has been suspected for many years. Our objective was to investigate the association between epilepsy and malnutrition in Djidja, Benin. METHODS: A matched population-based cross-sectional case-control survey was performed: cases (patients with epilepsy) were matched to controls according to sex, age +/- 5 years, and village of residence. The World Health Organization's criteria for malnutrition was used. Anthropometric measurements (weight, height, mid arm upper circumference, triceps skinfold thickness) were taken. Bioelectrical impedance analysis, a standardized food and social questionnaire and a clinical examination were done. Statistical analysis (conditional logistic regression) was performed using SAS 8.0. RESULTS: A total of 131 cases and 262 controls were included. The prevalence of malnutrition was higher in cases than in controls (22.1% vs. 9.2%, p = 0.0006). Social factors were significantly different between cases and controls. Feeding difficulties were more frequent and health status was worse in cases. Seven variables were associated with epilepsy: (i) nutritional factors: mid arm upper circumference (prevalence odds ratio (pOR) = 0.7, CI: 0.6-0.9), cereal consumption <3 times during the 3 days before the study (pOR = 4.2, CI: 1.8-10.0), <3 meals/day (pOR = 4.2, CI: 1.6-10.9), tooth decay (pOR = 2.9, CI: 1.1-7.4), food taboos (pOR = 25.0, CI: 8.3-100.0), (ii) social factors: surrogate respondent (pOR = 16.8, CI: 3.1-90.3) and no second job (pOR = 7.1, CI: 2.3-22.3). CONCLUSION: Epilepsy and nutritional status are linked in sub-Saharan Africa. Programs to improve the nutritional status of people with epilepsy are needed.

Interest of LQAS method in a survey of HTLV-I infection in Benin (West Africa).

HTLV-I is heterogeneously distributed in Sub-Saharan Africa. Traditional survey methods as cluster sampling could provide information for a country or region of interest. However, they cannot identify small areas with higher prevalences of infection to help in the health policy planning. Identification of such areas could be done by a Lot Quality Assurance Sampling (LQAS) method, which is currently used in industry to identify a poor performance in assembly lines. The LQAS method was used in Atacora (Northern Benin) between March and May 1998 to identify areas with a HTLV-I seroprevalence higher than 4%. Sixty-five subjects were randomly selected in each of 36 communes (lots) of this department. Lots were classified as unacceptable when the sample contained at least one positive subject. The LQAS method identified 25 (69.4 %) communes with a prevalence higher than 4%. Using stratified sampling theory, the overall HTLV-I seroprevalence was 4.5% (95% CI: 3.6-5.4%). These data show the interest of LQAS method application under field conditions to detect clusters of infection.