Population-Based Epidemiology of Heart Failure in a Low-Income Country: The Haiti Cardiovascular Disease Cohort

Abstract

Background: Cardiovascular disease disproportionately affects persons living in low- and middle-income countries and heart failure (HF) is thought to be a leading cause. Population-based studies characterizing the epidemiology of HF in these settings are lacking. We describe the age-standardized prevalence, survival, subtypes, risk factors, and 1-year mortality of HF in the population-based Haiti Cardiovascular Disease Cohort.

Methods: Participants were recruited using multistage cluster-area random sampling in Port-au-Prince, Haiti. A total of 2981 completed standardized history and exam, laboratory measures, and cardiac imaging. Clinical HF was defined by Framingham criteria. Kaplan-Meier and Cox proportional hazard regression assessed mortality among participants with and without HF; logistic regression identified associated factors.

Results: Among all participants, the median age was 40 years (interquartile range, 27-55), and 58.2% were female. Median follow-up was 15.4 months (interquartile range, 9-22). The age-standardized HF prevalence was 3.2% (93/2981 [95% CI, 2.6-3.9]). The average age of participants with HF was 57 years (interquartile range, 45-65), and 67.7% were female. The first significant increase in HF prevalence occurred between 30 to 39 and 40 to 49 years (1.1% versus 3.7%, P=0.003). HF with preserved ejection fraction was the most common HF subtype (71.0%). Age (adjusted odds ratio, 1.36 [1.12-1.66] per 10-year increase), hypertension (2.14 [1.26-3.66]), obesity (3.35 [95% CI, 1.99-5.62]), poverty (2.10 [1.18-3.72]), and renal dysfunction (5.42 [2.94-9.98]) were associated with HF. One-year HF mortality was 6.6% versus 0.8% (hazard ratio, 7.7 [95% CI, 2.9-20.6]; P<0.0001).

Conclusions: The age-standardized prevalence of HF in this low-income setting was alarmingly high at 3.2%-5-fold higher than modeling estimates for low- and middle-income countries. Adults with HF were two decades younger and 7.7× more likely to die at 1 year compared with those in the community without HF. Further research characterizing the population burden of HF in low- and middle-income countries can guide resource allocation and development of pragmatic HF prevention and treatment interventions, ultimately reducing global cardiovascular disease health disparities.

Registration: URL: https://www.

Clinicaltrials: gov; Unique identifier: NCT03892265.

Keywords: cardiovascular diseases; heart failure; mortality; prevalence; risk factors.

Figure 1:

Heart failure prevalence stratified by age and subtype (HFrEF, HFmrEF and HFpEF). Aggregate HF prevalence per age group represented by line. Abbreviations: HF: Heart Failure; HFrEF: Heart Failure with Reduced Ejection Fraction; HFmrEF: Heart Failure with Mid-Range Ejection Fraction; HFpEF: Heart Failure with Preserved Ejection Fraction

Figure 2:

Kaplan-Meier survival analysis comparing participants with and without heart failure at one-year. Abbreviations: HF: Heart Failure; HR: Hazard Ratio; Cl: Confidence Interval