IntroductionScant data exist on the epidemiology and clinical characteristics of atrial fibrillation in Kenya. Traditionally, atrial fibrillation (AF) in sub-Saharan Africa is as a result of rheumatic valve disease. However, with the economic transition in sub-Saharan Africa, risk factors and associated complications of this arrhythmia are likely to change.MethodsA retrospective observational survey was carried out between January 2008 and December 2010. Patients with a discharge diagnosis of either atrial fibrillation or flutter were included for analysis. The data-collection tool included clinical presentation, risk factors and management strategy. Follow-up data were obtained from the patients’ medical records six months after the index presentation.ResultsOne hundred and sixty-two patients were recruited (mean age 67 ± 17 years, males 56%). The distribution was paroxysmal (40%), persistent (20%) and permanent AF (40%). Associated co-morbidities included hypertension (68%), heart failure (38%) diabetes mellitus (33%) and valvular abnormalities (12%). One-third presented with palpitations, dizziness or syncope and 15% with a thromboembolic complication as the index AF presentation. Rate-control strategies were administered to 78% of the patients, with beta-blockers and digoxin more commonly prescribed. Seventy-seven per cent had a CHA2DS2VASC score ≥ 2, but one-quarter did not receive any form of oral anticoagulation. At the six-month follow up, 6% had died and 12% had been re-admitted at least once. Of the high-stroke risk patients on anticoagulation, just over one-half were adequately anticoagulated.ConclusionHypertension and diabetes mellitus, not rheumatic valve disease were the more common co-morbidities. Stroke risk stratification and prevention needs to be emphasised and appropriately managed.

Background Few studies have investigated risk factor heterogeneity by molecular subtypes in indigenous African populations where prevalence of traditional breast cancer (BC) risk factors, genetic background, and environmental exposures show marked differences compared to European ancestry populations. Methods We conducted a case-only analysis of 838 pathologically confirmed BC cases recruited from 5 groups of public, faith-based, and private institutions across Kenya between March 2012 to May 2015. Centralized pathology review and immunohistochemistry (IHC) for key markers (ER, PR, HER2, EGFR, CK5-6, and Ki67) was performed to define subtypes. Risk factor data was collected at time of diagnosis through a questionnaire. Multivariable polytomous logistic regression models were used to determine associations between BC risk factors and tumor molecular subtypes, adjusted for clinical characteristics and risk factors. Results The median age at menarche and first pregnancy were 14 and 21 years, median number of children was 3, and breastfeeding duration was 62 months per child. Distribution of molecular subtypes for luminal A, luminal B, HER2-enriched, and triple negative (TN) breast cancers was 34.8%, 35.8%, 10.7%, and 18.6%, respectively. After adjusting for covariates, compared to patients with ER-positive tumors, ER-negative patients were more likely to have higher parity (OR = 2.03, 95% CI = (1.11, 3.72), p = 0.021, comparing ≥ 5 to ≤ 2 children). Compared to patients with luminal A tumors, luminal B patients were more likely to have lower parity (OR = 0.45, 95% CI = 0.23, 0.87, p = 0.018, comparing ≥ 5 to ≤ 2 children); HER2-enriched patients were less likely to be obese (OR = 0.36, 95% CI = 0.16, 0.81, p = 0.013) or older age at menopause (OR = 0.38, 95% CI = 0.15, 0.997, p = 0.049). Body mass index (BMI), either overall or by menopausal status, did not vary significantly by ER status. Overall, cumulative or average breastfeeding duration did not vary significantly across subtypes. Conclusions In Kenya, we found associations between parity-related risk factors and ER status consistent with observations in European ancestry populations, but differing associations with BMI and breastfeeding. Inclusion of diverse populations in cancer etiology studies is needed to develop population and subtype-specific risk prediction/prevention strategies.

Breast cancer is the most common cancer in women globally as well as in Kenya. The most common sites of metastases reported include the bones, liver and lung. Metastasis to the urinary bladder is relatively uncommon with only a few case reports in literature. It can therefore be easily overlooked as a cause of hematuria in these patients. We describe a rare case of a patient with breast cancer who presented with urinary bladder metastasis as a late complication of her illness.

BackgroundFew studies have investigated risk factor heterogeneity by molecular subtypes in indigenous African populations where prevalence of traditional breast cancer (BC) risk factors, genetic background, and environmental exposures show marked differences compared to European ancestry populations. MethodsWe conducted a case-only analysis of 838 pathologically confirmed BC cases recruited from 5 groups of public, faith-based and private institutions across Kenya between March 2012 to May 2015. Centralized pathology review and immunohistochemistry (IHC) for key markers (ER, PR, HER2, EGFR, CK5-6, and Ki67) was performed to define subtypes. Risk factor data was collected at time of diagnosis through a questionnaire. Multivariable polytomous logistic regression models were used to determine associations between BC risk factors and tumor molecular subtypes, adjusted for clinical characteristics and risk factors.ResultsThe median age at menarche and first pregnancy were 14 and 21 years, median number of children was 3 and breastfeeding duration was 62 months per child. Distribution of molecular subtypes for luminal A, luminal B, HER2-enriched, and Triple Negative (TN) breast cancers was 34.8%, 35.8%, 10.7%, and 18.6%, respectively. After adjusting for covariates, compared to patients with ER positive tumors, ER negative patients were more likely to have higher parity (OR=2.03, 95% CI= (1.11, 3.72), p=0.021, comparing ≥5 to <2 children) and younger age at first pregnancy (ORtrend=0.77, 95% CItrend=0.61, 0.98, Ptrend=0.032, comparing older to younger age). Compared to patients with luminal A tumors, luminal B patients were more likely to have lower parity (OR=0.45, 95% CI= 0.23, 0.87, p=0.018, comparing ≥5 to <2 children); HER2-enriched patients were less likely to be obese (OR=0.36, 95% CI=0.16, 0.81, p=0.013) or older age at menopause (OR=0.38, 95% CI=0.15, 0.997, p=0.049). Body mass index (BMI), either overall or by menopausal status, did not vary significantly by ER status. Overall, cumulative or average breastfeeding duration did not vary significantly across subtypes. Conclusions In Kenya, we found associations between parity-related risk factors and ER status consistent with observations in European ancestry populations, but differing associations with BMI and breastfeeding. Inclusion of diverse populations in cancer etiology studies are needed to develop population and subtype specific risk prediction/prevention strategies.

Objectives: To determine the utility of liver biopsy in providing a diagnosis in HIVinfected patients presenting with febrile illnesses and inconclusive initial investigative work up. Design: A retrospective descriptive study.