Background Our study aims to estimate hypertension (HTN) prevalence and its predictors in rural and urban area. Methods We conducted a cross-sectional population-based study involving subjects aged 15 to 65 years. Collected data (sociodemographic, blood pressure, weight, height, and blood glucose) were analyzed using SPSS version 20. A logistic regression was conducted to look for factors associated with HTN. Results Mean was 47 years. High blood pressure (HBP) prevalence was 21.1 and 24.7%, respectively, in rural and urban setting. In rural area age group significantly predicted hypertension with age of 60 years having more-than-4-times risk of hypertension, whereas, in urban area age group, sex and body mass index were predictors with OR: HTN raising from 2.06 [1.24–3.43] for 30–44 years old to 7.25 [4.00–13.13] for 60 years and more using <30 years as reference. Female sex was protective with OR of 0.45 [0.29–0.71] and using normal weight as reference OR for overweight was 1.54 [1.04–2.27] and 2.67 [1.64–4.36] for obesity. Conclusion Hypertension prevalence is high and associated factors were age group in rural area and age group, female sex, and body mass index in urban area.
Background: Studies on financial aspects of High blood pressure management are rare and old without differentiating categories of expenses. On the other hand there is an evolution in health system with the introduction of a medical insurance. Objective: We performed this study to estimate costs related to insurance status. Methodology: The prospective study on patients aged 15 years and older extended from 01 May to 31 August 2016 and was carried out in the cardiology department of the University Hospital Gabriel Touré. Only newly detected or untreated hypertensive patients were included. Sociodemographic data, those on physical examination and financial management (transport, consultation, labor tests and purchase of drugs) were collected. Regarding costs, patients were directly asked about: how much did you spend for transport, consultation, labor tests and drugs? Data analysis was carried out by comparing patients with health insurance (Ins+) and those without it (Ins−). The recorded data were inserted in a MS Access database, preliminarily processed by MS Excel and imported to SPSS version 20 for analysis. Results: Mean total cost of care was 57,018 FCFA [50,139-63,897] (around 92 USD). It was 50,072 [42,182-57,963] for the Ins− group against 79,670 [66,777-92,563] for the Ins+ group with a p value < 0.0001. Highest amounts for spending were for cardiovascular medication and labor tests with means of 19,255 FCFA (32 USD) and 18,813 FCFA (30 USD). Mean consultation fee was significantly higher for Ins+ patients: 4064 FCFA with IC (95%) [3210-4917] versus 3124 with IC (95%)
Objective: The aim of this study was to describe the epidemiological, clinical and Para clinical characteristics in patients hospitalized for pulmonary embolism in the cardiology department of Gabriel Toure University Hospital. Methodology: It was a retrospective and descriptive study from January 2011 to December 2014 and involved all patients hospitalized during the study period. Results: The study included 21 patients out of 1738 hospitalized patients, with a prevalence of 1.21%. The mean age was 38.57 years with extreme ages of 18 and 64 years. The sex ratio was 0.40. Risk factors found in the study were oral contraception (19.05%), overweight (19.05%), smoking (14.28%), HIV (4.76%) and heart failure (4, 76%). 61.90% (n = 13) had isolated pulmonary embolism, 38.09% (n = 8) had venous thrombosis and pulmonary embolism association. Through the chest angio-CT, 28.57% of obstructions were located at the left branch of the pulmonary artery, 9.52% at the right branch and 61.90% were bilateral obstructions. Four deaths were recorded, all in a context of massive pulmonary embolism, with a fatality rate of 19.05%. Conclusion: Pulmonary embolism is a serious and common disease, often difficult to diagnose. It is a cardiovascular emergency and requires immediate and adequate care.
Objective: To study the lipid profile among the diabetic and non-diabetic obese patients. Methods: It was a descriptive and prospective study carried out over a period of 9 months from March to December 2010. It concerned all the patients who came for consultation in endocrinology at the internal medicine of Point G University Hospital Center and at the National Center for Diabetes Research. All the patients were included without any gender or age difference, voluntary and with a BMI ≥ 30 kg/m 2 . Results: Out of the 1543 patients received in consultation, we had identified 178 obese people that is to say 11, 53% of the cases. Among these cases 60 abided by our criteria with 30 diabetic patients and 30 non-diabetic ones. The average age was 45.83 ± 14.68 years old; 73.3% were more than 40 years old. The sex ratio was 0.07. Two third (66.7%) of our patients limited their eating diet to the three main meals/day and 61.7% were sedentary. The notion of family obesity was found in 93.4% of the cases, of family diabetes in 58.3% of the cases, of past personal medical history of hypertension in 43.3% of the cases. It was about an android obesity in 91% and Gynoid in 9% of the cases. The BMI was 55% of the cases comprised between 30 -34.9 kg/m 2 . The lipid profile noticed was: A hypertriglyceridemia: 33% of diabetic patients and 10% of non-diabetic patients, a high LDL cholesterol: 37% of diabetic patients and 30% of our diabetic patients, a HDL hypocholesterolemia: 40% of the diabetic patients and 20% of the non-diabetic patients, a total hypercholesterolemia: 37% of the diabetic patients and 23% of non-diabetic patients. A hyperglycemia was noticed in 13.3% of non-diabetic patients. Conclusion: The frequency of metabolic troubles were higher in obese diabetic patients compared to non-diabetic obese patients mainly the hypertriglyceridemia.
Background: Traditional cardiovascular risk factors (CVrf) like hypertension, diabetes, dyslipidemia, obesity, smoking have been studied extensively through theses in hospital studies. Therefore, recent published data from community based studies are rare in Mali. Available data are old justifying to perform a community based study on traditional CVrf in rural and urban areas. Materials and Methods: We retrospectively performed a study which data stemmed from the last STEPS survey carried out in 2013 in some rural and urban areas of Mali. We studied hypertension, diabetes, tobacco smoking, obesity based on body mass index, waist circumference and waist-to-hip ratio. After bivariates analyses, we conducted a logistic regression with rural/urban as dependent variable using SPSS as analysis software for this purpose. Results: Weight, height, WC and HC were higher in urban area with 69.77 Kg, 169.13 cm, 85.98 cm and 97.26 cm compared to 66.27, 165.42, 81.46 and 93.23 in rural area (p < 0.001). We had more female in rural area and educational level was higher in urban area. In bivariate analysis obesity based on BMI, WC, alcohol consumption was more prevalent in urban area while elevated waist-to-hip ratio was more prevalent in rural area. But in logistic regression for female, the Odds for Tobacco smoking rural as reference was 0.334 [CI: 0.151-0.738] (p = 0.007) and that for WHr is 0.582 [CI: 0.415-0.815] (p < 0.001). The OR for Obesity based on waist circumference was 2.698 [CI: 1.881-3.871] (p < 0.001). Rural male as reference diabetes was the only risk factor which became statistically significant with OR of (OR 0.579 and CI [0.346-0.971], p = 0.038
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