SummaryIntroduction:Heart failure is a common cause of hospitalisation and therefore contributes to in-hospital outcomes such as mortality. In this study we describe patient characteristics and outcomes of acute heart failure (AHF) in Botswana.Methods:Socio-demographic, clinical and laboratory data were collected from 193 consecutive patients admitted with AHF at Princess Marina Hospital in Gaborone between February 2014 and February 2015. The length of hospital stay and 30-, 90- and 180-day in-hospital mortality rates were assessed.Results:The mean age was 54 ± 17.1 years, and 53.9% of the patients were male. All patients were symptomatic (77.5% in NYHA functional class III or IV) and the majority (64.8%) presented with significant left ventricular dysfunction. The most common concomitant medical conditions were hypertension (54.9%), human immuno-deficiency virus (HIV) (33.9%), anaemia (23.3%) and prior diabetes mellitus (15.5%). Moderate to severe renal dysfunction was detected in 60 (31.1%) patients. Peripartum cardiomyopathy was one of the important causes of heart failure in female patients. The most commonly used treatment included furosemide (86%), beta-blockers (72.1%), angiotensin converting enzyme inhibitors (67.4%), spironolactone (59.9%), digoxin (22.1%), angiotensin receptor blockers (5.8%), nitrates (4.7%) and hydralazine (1.7%). The median length of stay was nine days, and the in-hospital mortality rate was 10.9%. Thirty-, 90- and 180-day case fatality rates were 14.7, 25.8 and 30.8%, respectively. Mortality at 180 days was significantly associated with increasing age, lower haemoglobin level, lower glomerular filtration rate, hyponatraemia, higher N-terminal pro-brain natriuretic peptide levels, and prolonged hospital stay.Conclusions:AHF is a major public health problem in Botswana, with high in-hospital and post-discharge mortality rates and prolonged hospital stays. Late and symptomatic presentation is common, and the most common aetiologies are preventable and/or treatable co-morbidities, including hypertension, diabetes mellitus, renal failure and HIV.

This was a cross-sectional study designed to assess the validity of the Finnish Diabetes Risk Score for detecting undiagnosed type 2 diabetes among general medical outpatients in Botswana. Participants aged ≥20 years without previously diagnosed diabetes were screened by (1) an 8-item Finnish diabetes risk assessment questionnaire and (2) Haemoglobin A1c test. Data from 291 participants were analyzed (74.2% were females). The mean age of the participants was 50.1 (SD = ±11) years, and the prevalence of undiagnosed diabetes was 42 (14.4%) with no significant differences between the gender (20% versus 12.5%, P = 0.26). The area under curve for detecting undiagnosed diabetes was 0.63 (95% CI 0.55–0.72) for the total population, 0.65 (95% CI: 0.56–0.75) for women, and 0.67 (95% CI: 0.52–0.83) for men. The optimal cut-off point for detecting undiagnosed diabetes was 17 (sensitivity = 48% and specificity = 73%) for the total population, 17 (sensitivity = 56% and specificity = 66%) for females, and 13 (sensitivity = 53% and specificity = 77%) for males. The positive predictive value and negative predictive value were 20% and 89.5%, respectively. The findings indicate that the Finnish questionnaire was only modestly effective in predicting undiagnosed diabetes among outpatients in Botswana.

The incidence of autoimmune skin diseases in Botswana is lower compared to other published studies in other geographic areas, which may be reflective of a younger population, barriers to access, genetic differences, and a lack of comparative studies in sub-Saharan Africa. The hygiene hypothesis and helminth infections may also contribute to these differences. Further studies are needed to understand these disorders in this region.

ObjectiveControl of glycaemic, hypertension and low-density lipoprotein-cholesterol (LDL-C) among patients with type 2 diabetes mellitus (T2DM) is vital for the prevention of cardiovascular diseases. The current study was an audit of glycaemic, hypertension and LDL-C control among ambulant patients with T2DM in Botswana. Also, the study aimed at assessing factors associated with attaining optimal glycaemic, hypertension and LDL-C therapeutic goals.DesignA cross-sectional study.SettingA specialised public diabetes clinic in Gaborone, Botswana.ParticipantsPatients with T2DM who had attended the clinic for ≥3 months between August 2017 and February 2018.Primary outcome measureThe proportion of patients with optimal glycaemic (HbA1c<7%), hypertension (blood pressure <140/90 mm Hg) and LDL-C (<1.8 mmol/L) control.ResultsThe proportions of patients meeting optimal targets were 32.3% for glycaemic, 54.2% for hypertension and 20.4% for LDL-C. Age≥ 50 years was positively associated with optimal glycaemic control (adjusted OR [AOR] 5.79; 95% CI 1.08 to 31.14). On the other hand, an increase in diabetes duration was inversely associated with optimal glycemic control (AOR 0.91; 95% CI 0.85 to 0.98). Being on an ACE inhibitor was inversely associated with optimal hypertension control (AOR 0.35; 95% CI 0.14 to 0.85). Being female was inversely associated with optimal LDL-C control (AOR 0.24; 95% CI (0.09 - 0.59).ConclusionPatients with T2DM in Gaborone, Botswana, presented with suboptimal control of recommended glycaemic, hypertension and LDL-C targets. These findings call for urgent individual and health systems interventions to address key determinants of the recommended therapeutic targets among patients with diabetes in this setting.

BackgroundLow- and middle-income countries, including Botswana, are facing rising prevalence of obesity and obesity-related cardiometabolic complications. Very little information is known about clustering of cardiovascular risk factors in the outpatient setting during routine visits. We aimed to assess the prevalence and identify the determinants of metabolic syndrome among the general outpatients’ attendances in Botswana.MethodsA cross-sectional study was conducted from August to October 2014 involving outpatients aged ≥20 years without diagnosis of diabetes mellitus. A precoded questionnaire was used to collect data on participants’ sociodemographics, risk factors, and anthropometric indices. Fasting blood samples were drawn and analyzed for glucose and lipid profile. Metabolic syndrome was assessed using National Cholesterol Education Program-Adult Treatment Panel III criteria.ResultsIn total, 291 participants were analyzed, of whom 216 (74.2%) were females. The mean age of the total population was 50.1 (±11) years. The overall prevalence of metabolic syndrome was 27.1% (n=79), with no significant difference between the sexes (female =29.6%, males =20%, P=0.11). A triad of central obesity, low high-density lipoprotein-cholesterol, and elevated blood pressure constituted the largest proportion (38 [13.1%]) of cases of metabolic syndrome, followed by a combination of low high-density lipoprotein, elevated triglycerides, central obesity, and elevated blood pressure, with 17 (5.8%) cases. Independent determinants of metabolic syndrome were antihypertensive use and increased waist circumference.ConclusionMetabolic syndrome is highly prevalent in the general medical outpatients clinics. Proactive approaches are needed to screen and manage cases targeting its most important predictors.