Hypertension care cascades and reducing inequities in cardiovascular disease in low- and middle-income countries.

Improving hypertension control in low- and middle-income countries has uncertain implications across socioeconomic groups. In this study, we simulated improvements in the hypertension care cascade and evaluated the distributional benefits across wealth quintiles in 44 low- and middle-income countries using individual-level data from nationally representative, cross-sectional surveys. We raised diagnosis (diagnosis scenario) and treatment (treatment scenario) levels for all wealth quintiles to match the best-performing country quintile and estimated the change in 10-year cardiovascular disease (CVD) risk of individuals initiated on treatment. We observed greater health benefits among bottom wealth quintiles in middle-income countries and in countries with larger baseline disparities in hypertension management. Lower-middle-income countries would see the greatest absolute benefits among the bottom quintiles under the treatment scenario (29.1 CVD cases averted per 1,000 people living with hypertension in the bottom quintile (Q1) versus 17.2 in the top quintile (Q5)), and the proportion of total CVD cases averted would be largest among the lowest quintiles in upper-middle-income countries under both diagnosis (32.0% of averted cases in Q1 versus 11.9% in Q5) and treatment (29.7% of averted cases in Q1 versus 14.0% in Q5) scenarios. Targeted improvements in hypertension diagnosis and treatment could substantially reduce socioeconomic-based inequalities in CVD burden in low- and middle-income countries.

Relationships between cardiorespiratory fitness, physical activity practices, and functional outcomes one-year post-stroke in northern Benin: A case-control study.

BACKGROUND: Currently, little is known on the relationships between cardiorespiratory fitness (CF), physical activity (PA), and functional outcomes after stroke, especially in low- and middle-income countries. OBJECTIVES: We examine the relationships between CF, PA, and functional outcomes in one-year poststroke in Benin, a lower middle-income country. METHODS: A case-control study was carried out in northern Benin. Twenty-one participants with chronic strokes were matched to 42 controls according to sex and age. PA patterns and associated energy expenditure (EE) were assessed with a BodyMedia's senseWear armband. CF was evaluated with the Physical Working Capacity at 75% of the predicted maximal heart rate index. The functional outcomes were evaluated using the modified Rankin scale (mRS) and the ACTIVLIM-Stroke scale. RESULTS: Both people with stroke and the healthy pairs spent much time in sedentary behavior (median [P25; P75]: 672 [460; 793] min vs 515 [287; 666] min, p = 0.006). Although people with chronic stroke performed fewer steps compared to healthy controls (median: 2767 vs 5524, p = 0.005), results showed that total EE was not statistically significant in either group (median: 7166 Kcal vs 8245 Kcal, p = 0.07). In addition, the mRS score (r = 0.47, p = 0.033) and the ACTIVLIM-Stroke measure (r = 0.52, p = 0.016) were moderately associated with the CF index of people with chronic stroke. CONCLUSION: The study showed clear trends for lower levels of PA in both people with chronic stroke and health controls. A correlation exists between CF, disability, and functional outcomes among stroke patients.

Prevalence and factors associated with stroke risk factors in an urban community of Parakou, Northern Benin, 2016.

Sub-Saharan Africa faces a heavy burden of stroke due to the growth of its risk factors. We aimed to estimate the prevalence of stroke risk factors and identify the factors associated with metabolic risk factors in the district of Titirou, in Parakou (northern Benin) in 2016. A cross-sectional study was conducted. It included people aged at least 15 years, living in Titirou for at least 6 months, and who had given their written consent to participate in the study. A door-to-door survey was performed from 15 march to 15 July 2016 in each neighborhood until the pre-determined number was reached. Sociodemographic data, medical histories, anthropometric and blood pressure measures were recorded using the WHO STEPS approach. The prevalence of stroke risk factors was calculated, and a multivariable logistic regression was done to identify the factors associated with metabolic risk factors for stroke. A total of 4671 participants were included with a mean age of 27.7±12.9 years and a sex ratio of 0.98. Concerning the behavioral risk factors for stroke, 17.2% were alcohol consumers, 3.5% were smokers, 21.5% had low fruit and vegetable intake, and 51.1% had low physical activity practice. The prevalence of metabolic risk factors for stroke was respectively of 8.7% for obesity, 7.1% for high blood pressure, 1.7% for self-reported diabetes, and 2.2% for dyslipidemia. Age (p<0.001), sex (p<0.001), marital status (p<0.001) and professional occupation (p = 0.010) were associated with obesity. Age was also associated with high blood pressure (p<0.001) and diabetes (p<0.001). Dyslipidemia varied according to smoking (p = 0.033) and low physical activity practice (p = 0.003). The study revealed a significant prevalence of some stroke risk factors. Targeted local interventions for primary prevention of stroke should be promoted in this community.

[Prevalence of coronary artery disease in stroke survivors in Parakou (Benin) in 2019]. / Prévalence de la coronaropathie chez les survivants d'accident vasculaire cérébral à Parakou (Bénin) en 2019.

INTRODUCTION: coronary artery disease seem common in stroke patients. We aimed to determine the prevalence of coronary artery disease in stroke survivors followed at the Borgou-Alibori Departmental University Hospital (CHUD/B-A). METHODS: this was a cross-sectional study, conducted from March 1 to August 31, 2019. It included all stroke patients, aged ≥ 18 years, received in the neurology unit of CHUD-B/A between January 2012 and July 2019, having survived the acute phase, and from whom written informed consent or that of a guardian (severely disabled patients) has been obtained. An individual interview, anthropometric measurements, a physical examination, an electrocardiogram record and a review of the medical record were performed. The coronary artery disease was defined by a documented history, suggestive ST/T and/or Q abnormalities (Minnesota criteria) or a positive angina screening questionnaire. The factors associated with coronary artery disease were investigated by logistic regression. RESULTS: a total of 101 patients were included with an average age of 57.2 ± 10.5 years. The median time since stroke onset was 11 months (interquartile range: [2.0-23.5]). Ischemic stroke predominated (57.4%). The prevalence of coronary artery disease was estimated at 49.5%. The factors associated were lack of school education (p=0.036), obesity (0.036) and former tobacco use (p=0.044). CONCLUSION: this study shows a high frequency of coronary artery disease in stroke patients. It is important to detect coronary artery disease in this target population in order to improve the management.

Magnitude of cardiovascular risk factors in rural and urban areas in Benin: findings from a nationwide steps survey.

OBJECTIVE: To describe and compare the prevalences of CVRF in urban and rural populations of Benin. METHODS: Subjects were drawn from participants in the Benin Steps survey, a nationwide cross-sectional study conducted in 2008 using the World Health Organisation (WHO) stepwise approach to surveillance of chronic disease risk factors. Subjects aged above 24 and below 65 years were recruited using a five-stage random sampling process within households. Sociodemographic data, behavioral data along with medical history of high blood pressure and diabetes mellitus were collected in Step 1. Anthropometric parameters and blood pressure were measured in Step 2. Blood glucose and cholesterol levels were measured in Step 3. CVRF were defined according to WHO criteria. The prevalences of CVRF were assessed and the relationships between each CVRF and the area of residence (urban or rural), were evaluated using multivariable logistic regression models. RESULTS: Of the 6762 subjects included in the study, 2271 were from urban areas and 4491 were from rural areas. High blood pressure was more prevalent in urban than in rural areas, 29.9% (95% confidence intervals (95% CI): 27.4, 32.5) and 27.5% (95% CI: 25.6, 29.5) respectively, p = 0.001 (p-value after adjustment for age and gender). Obesity was more prevalent in urban than in rural areas, 16.4% (95% CI: 14.4, 18.4) and 5.9% (95% CI: 5.1, 6.7), p<0.001. Diabetes was more prevalent in urban than in rural areas, 3.3% (95% CI: 2.1, 4.5) and 1.8% (95% CI: 1.2, 2.4), p = 0.004. Conversely, daily tobacco smoking was more prevalent in rural than in urban areas, 9.3% (95% CI: 8.1, 10.4) and 4.3% (95% CI: 3.1, 5.6), p<0.001. No differences in raised blood cholesterol were noted between the two groups. CONCLUSION: According to our data, CVRF are prevalent among adults in Benin, and variations between rural and urban populations are significant. It may be useful to take account of the heterogeneity in the prevalence of CVRF when planning and implementing preventive interventions.