Abstract 168: Population-based Epidemiology Of Heart Failure In A Low-income Country: The Haiti Cardiovascular Disease Study

Abstract

Aims: Modeling estimates indicate that heart failure (HF) prevalence may be lowest in low-income (LICs). Conversely, HF has been shown to be the leading cause of hospital admission in hospitals in many LICs. This disconnect between estimates and hospital-based observations may be explained by the underlying data. Modeling studies may have selection bias reporting data on individuals presenting with symptomatic disease and may introduce ascertainment bias based on accessibility of care and other structural factors in these communities. Population-based studies are needed to identify the true clinical epidemiology of HF in order to improve HF-related health outcomes in these under-resourced settings where four billion persons live. Haiti is the poorest, most under-resourced country in the Western Hemisphere. We describe HF prevalence, survival, subtypes, risk factors, and one-year mortality in the population-based Haiti Cardiovascular Disease Study. Methods and Results: Multistage cluster-area random sampling identified 2,981 adults, who completed standardized history and exam, laboratory measures, and cardiac imaging. Kaplan-Meier and Cox proportional hazard regression assessed survival; logistic regression identified associated factors. Median follow-up was 15.4 months (IQR 9-22). Age-standardized HF prevalence was 3.2% (93/2,981 [CI:2.6-3.9]). One-year HF mortality was 6.6% versus 0.8% (HR: 7.7 [CI 2.9-20.6], p<0.0001). The average age of participants with HF was 57 years (IQR 45-65). The first significant increase in HF prevalence occurred between 30-39 and 40-49-years (1.1% vs 3.7%, p=0.003). Age, hypertension, body-mass-index, poverty and renal dysfunction were associated with HF. 44.1% (41/93) of participants with HF were aware of their diagnosis. HFpEF was the most common HF subtype (71.0%). Conclusion: The age-standardized prevalence of HF in this low-income setting was alarmingly high at 3.2%--50% higher than rates in high-income countries and 5-fold higher than modeling estimates for LMICs. Adults with HF were two decades younger as compared to high-income settings and 7.7 times more likely to die at one year. These data serve as a warning sign and may have implications for policy makers and future HF interventions in LMICs.