Background: Low-and middle-income countries now experience the highest prevalence and mortality rates of cardiovascular disease. Main text: While improving the availability and delivery of proven, effective therapies will no doubt mitigate this burden, we posit that studies evaluating cardiovascular disease risk factors, management strategies and service delivery, in diverse settings and diverse populations, are equally critical to improving outcomes in low-and middleincome countries. Focusing on examples drawn from four cardiovascular diseasescoronary artery disease, stroke, diabetes and kidney diseasewe argue that ethnicity, culture and context matter in determining the risk factors for disease as well as the comparative effectiveness of medications and other interventions, particularly diet and lifestyle interventions. Conclusion: We believe that a host of cohort studies and randomized control trials currently being conducted or planned in low-and middle-income countries, focusing on previously understudied race/ethnic groups, have the potential to increase knowledge about the cause(s) and management of cardiovascular diseases across the world.

Introduction: Many low-and middle-income countries are implementing strategies to increase dialysis availability as growing numbers of people reach end-stage renal disease. Despite efforts to subsidize care, the economic sustainability of chronic dialysis in these settings remains uncertain. We evaluated the association of medical subsidy with household financial hardship related to hemodialysis in Kerala, India, a state with high penetrance of procedure-based subsidies for patients on dialysis. Methods: Patients on maintenance hemodialysis at 15 facilities in Kerala were administered a questionnaire that ascertained demographics, dialysis details, and household finances. We estimated direct and indirect costs of hemodialysis, and described the use of medical subsidy. We evaluated whether presence of subsidy (private, charity, or government-sponsored) was associated with lower catastrophic health expenditure (defined as $40% of nonsubsistence expenditure spent on dialysis) or distress financing. Results: Of the 835 patients surveyed, 759 (91%) reported their households experienced catastrophic health expenditure, and 644 (77%) engaged in distress financing. Median dialysis-related expenditure was 80% (25th-75th percentile: 60%-90%) of household nonsubsistence expenditure. Government subsidies were used by 238 (29%) of households, 139 (58%) of which were in the lowest income category. Catastrophic health expenditure was present in 215 (90%) of households receiving government subsidy and 332 (93%) without subsidy. Conclusions: Provision of medical subsidy in Kerala, India was not associated with lower rates of household financial hardship related to long-term hemodialysis therapy. Transparent counseling on impending costs and innovative strategies to mitigate household financial distress are necessary for persons with end-stage renal disease in resource-limited settings.

IntroductionAlthough deaths due to chronic kidney disease (CKD) have doubled over the past two decades, few data exist to inform screening strategies for early detection of CKD in low-income and middle-income countries.MethodsUsing data from three population-based surveys in India, we developed a prediction model to identify a target population that could benefit from further CKD testing, after an initial screening implemented during home health visits. Using data from one urban survey (n=8698), we applied stepwise logistic regression to test three models: one comprised of demographics, self-reported medical history, anthropometry and point-of-care (urine dipstick or capillary glucose) tests; one with demographics and self-reported medical history and one with anthropometry and point-of-care tests. The ‘gold-standard’ definition of CKD was an estimated glomerular filtration rate <60 mL/min/1.73 m2 or urine albumin-to-creatinine ratio ≥30 mg/g. Models were internally validated via bootstrap. The most parsimonious model with comparable performance was externally validated on distinct urban (n=5365) and rural (n=6173) Indian cohorts.ResultsA model with age, sex, waist circumference, body mass index and urine dipstick had a c-statistic of 0.76 (95% CI 0.75 to 0.78) for predicting need for further CKD testing, with external validation c-statistics of 0.74 and 0.70 in the urban and rural cohorts, respectively. At a probability cut-point of 0.09, sensitivity was 71% (95% CI 68% to 74%) and specificity was 70% (95% CI 69% to 71%). The model captured 71% of persons with CKD and 90% of persons at highest risk of complications from untreated CKD (ie, CKD stage 3A2 and above).ConclusionA point-of-care CKD screening strategy using three simple measures can accurately identify high-risk persons who require confirmatory kidney function testing.

Acute kidney injury is common and consequential among patients hospitalized for diarrheal illness. Persons with CKD and hypertension are the most susceptible, possibly due to diminished renal reserve and exacerbating effects of treatment with diuretics and renin-angiotensin-aldosterone system blockers. Proactive management of these unique pharmacologic and physiologic factors is necessary to prevent AKI in this vulnerable population.