# Impact of Hispanic Ethnicity, Geography, and Insurance Status on Cardiovascular Outcomes in Patients Undergoing Percutaneous Coronary Intervention

**Authors:** Revathy Sampath-Kumar, Ehtisham Mahmud, Vachaspathi Palakodeti, Lawrence Ang, Belal Al Khiami, Anna Melendez, Ryan Reeves, Ori Ben-Yehuda

PMC · DOI: 10.1016/j.jacadv.2025.101723 · JACC: Advances · 2025-04-26

## TL;DR

This study examines how Hispanic ethnicity, geography, and insurance status affect outcomes for patients undergoing heart procedures in a diverse U.S. region.

## Contribution

The study identifies complex disparities in cardiovascular outcomes for Hispanic patients and those in underserved border zones, emphasizing the role of insurance status.

## Key findings

- Hispanic patients and those from Imperial County had higher rates of comorbidities but no overall mortality difference compared to non-Hispanic Whites.
- Uninsured Hispanic patients in Imperial County had significantly higher 30-day mortality rates compared to insured counterparts.
- Patients in Imperial County had lower mortality rates than those outside the county, despite socioeconomic disadvantages.

## Abstract

Hispanics are the largest and fastest growing ethnic minority population in the United States yet are poorly represented in cardiovascular outcomes studies. UC San Diego Health is a primary percutaneous coronary intervention (PCI) center for a diverse group of patients given its proximity to Mexico and underserved rural southeast Imperial County.

The purpose of this study was to study the association between Hispanic ethnicity, geography, insurance status, and PCI outcomes.

The UC San Diego Health internal National Cardiovascular Data Registry CathPCI Registry was used to obtain data on patients who underwent PCI from January 2007 to September 2022. Complications and all-cause mortality within 1-year post-PCI were assessed.

A total of 8,295 patients (age 66 years [IQR: 58-75 years], 72% male, 33% Hispanic ethnicity, and 30% from Imperial County) were included. Hispanics and patients from Imperial County irrespective of race or ethnicity had higher body mass index and were more likely to have diabetes, hypertension, hyperlipidemia, end-stage renal disease, and peripheral vascular disease. There was no difference in mortality rates between Hispanic and non-Hispanic Whites in the entire population. However, within Imperial County, Hispanics had significantly higher 30-day (1.4% vs 0.3% P = 0.02), 6-month (2.2% vs 0.8% P = 0.01), and 1-year (2.9% vs 0.9% P = 0.004) mortality rates compared to non-Hispanic Whites. Patients in Imperial County had lower 30-day (1.2% vs 1.9% P = 0.01), 6-month (1.9% vs 3.3% P < 0.001), and 1-year (2.4% vs 5% P < 0.001) mortality rates compared to patients outside of Imperial County. There was no difference in all-cause mortality rates by insurance status in non-Hispanic Whites. Uninsured Hispanic patients had a higher 30-day mortality rate compared to Hispanic patients who had Medicare/Medicaid or private insurance (4.5% vs 2.0% vs 1.0% P = 0.005). Within Imperial County, uninsured Hispanic patients had markedly higher 30-day mortality rate compared to Hispanic patients who had Medicare/Medicaid or private insurance (10.4% vs 1.6% vs 0.3% P < 0.001).

In socioeconomically disadvantaged areas, Hispanic patients had worse outcomes compared to non-Hispanic Whites compounded by uninsured status. There are complex demographic disparities in PCI outcomes for Hispanic patients and those residing in border zones which need to be recognized and mitigated.

## Linked entities

- **Diseases:** diabetes (MONDO:0005015), hyperlipidemia (MONDO:0021187), end-stage renal disease (MONDO:0004375), peripheral vascular disease (MONDO:0005294)

## Full-text entities

- **Diseases:** diabetes (MESH:D003920), end-stage renal disease (MESH:D007676), hypertension (MESH:D006973), peripheral vascular disease (MESH:D016491), hyperlipidemia (MESH:D006949), Complications (MESH:D008107)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12059334/full.md

## References

44 references — full list in the complete paper: https://tomesphere.com/paper/PMC12059334/full.md

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Source: https://tomesphere.com/paper/PMC12059334