Search

Introduction: Hypertension (HTN) is the leading cardiovascular risk factor in low-income countries including Haiti. Understanding blood pressure (BP) variation at the individual, neighborhood and population levels may help target interventions for multi-level risk reduction. This study aims to identify systolic BP (SBP) and diastolic BP (DBP) variation by neighborhood census blocks in Port-au-Prince to determine if this level should be targeted for future HTN interventions. Methods: Using data from the Haiti Cardiovascular Disease Cohort (March 2019-August 2021), a population-based cohort of Haitians ≥ 18 years, HTN was defined as SBP ≥140 mmHg or DBP ≥80 mmHg. Census blocks were defined as geographic areas of approximately 100-200 residential buildings per the Haitian Institute of Statistics. The geographic distribution of SBP and DBP was mapped based on household location. The proportion of SBP and DBP variation in block membership was calculated using intra-class correlations (ICC) from linear mixed models. Results: Among 2,972 participants, median (IQR) age was 40 (28-55) years and 57.6% were female. HTN prevalence was 33.0% and median (IQR) SBP and DBP were 120 (108-140) mmHg and 73.0 (64.0-85.0) mmHg, respectively. No distinct geographic pattern was present for SBP or DBP across blocks (Figure 1). The variation of SBP was 0.7% and DBP was 1.0% across census block membership. Conclusion: HTN prevalence in urban Port-au-Prince is high without a significant variation in SBP and DBP by census block. This may be due to outdated census data, crossover of individuals living informally across households, and/or the need for different household-level neighborhood geographic constructs such as shared household units. Moreover, these data suggest that interventions may need to target the population level, which span neighborhoods, given the uniformity of hypertension across these communities in Port-au-Prince.

Introduction: Cardiovascular disease (CVD) is the leading cause of mortality in low-income countries (LICs). Neighborhood social vulnerability has been associated with increased CVD risk in high-income countries, but the relationship is unknown in LICs. Our objective was to determine the association between neighborhood social vulnerability and prevalent CVD in urban Haiti. Hypothesis: We hypothesize that adults living in neighborhoods with increased social vulnerability will have a greater prevalence of hypertension (HTN) and CVD. Methods: We used cross-sectional enrollment data from the Haiti CVD Cohort study, a population-based cohort of adults ≥18 years living in Port-au-Prince distributed across 97 census blocks. To quantify vulnerability, we created a Haiti-specific Neighborhood Social Vulnerability Index (NSVI) based on the US CDC Social Vulnerability Index. The NSVI included three socioeconomic variables (income, sex, education), two household variables (single parent household, household with child Results: Among 2932 participants, median age was 40 years (IQR 28-55) and 58% were female. Age-standardized prevalence of HTN and CVD was 32.3% and 13.8%, respectively. The age-standardized prevalence of HTN and CVD was 35.7% and 17.3% across 4 th NSVI quartile blocks, compared to 29.1% and 14.1% across 1 st quartile NSVI blocks (p < 0.001). After adjusting for age, BMI, smoking, and alcohol use, participants living in 4 th NSVI quartile blocks had a greater risk of HTN (Adjusted Odds Ratio (aOR) 1.42; 95% CI 1.07-1.88; p-value 0.01) and CVD (aOR 1.36; CI: 0.99-1.88; p-value 0.06) compared to participants in the 1 st NSVI quartile blocks. NSVI was significantly associated with HTN in males but not females; conversely, NSVI was significantly associated with CVD in females and not males. Conclusions: Individuals living in neighborhoods with the greatest social vulnerability had a higher prevalence of HTN and CVD. Even in a setting of severe poverty such as urban Haiti, gradients in social vulnerabilities are associated with CVD disparities. Screening for social vulnerabilities should be incorporated into CVD prevention and treatment interventions in LICs.

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 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.