Neighborhood Marginalization Linked to Poorer Outcomes After Heart Attack

New research highlights significant disparities in cardiovascular health outcomes based on socioeconomic status of a patient’s neighborhood, even within⁣ a universal healthcare system.

A recent study has revealed a concerning trend: individuals hospitalized for a first myocardial infarction (AMI) ⁣who live in more marginalized neighborhoods face significantly higher risks of death and subsequent hospitalizations compared ⁣to those in less marginalized areas. Teh findings, which highlight a potential care gap, underscore the complex interplay of social determinants of health and cardiovascular well-being.

The research, which analyzed data from a large cohort, found that ⁤the risk for all-cause death three years after ⁢an initial AMI hospitalization increased with rising neighborhood marginalization. Specifically, patients in the most marginalized quintile experienced a 52% higher risk ‍of death compared to those in the least marginalized quintile. This gradient was evident across all quintiles, with the ‍second quintile showing a 13% increased risk, the third quintile 25%, and the‍ fourth quintile 35%.

Beyond mortality,patients in the most marginalized neighborhoods also faced a greater risk of readmission for all⁢ causes (1.21 times higher) and recurrent AMI (1.20 times higher) over the same ⁤three-year period.

“What we also observed were gradients,” stated led researcher Akioyamen. “We showed that with increasing neighborhood marginalization, we saw increasing risks of‍ death and⁢ other bad outcomes such as heart attacks⁣ and hospitalizations.”

The study also identified a care gap within the first year following⁣ the initial AMI. Patients⁢ residing in less marginalized neighborhoods had ⁢greater contact with primary care physicians (96.1% vs. 91.6%) and cardiologists (88.0% vs. 75.7%) compared to their counterparts in⁣ the most marginalized areas.

Prospective‍ Analysis Needed

While the study provides compelling evidence of these disparities,experts emphasize the need for further examination to understand the underlying causes.⁤ Dipti Itchhaporia, MD, Chair in Cardiovascular Health at the University ⁣of California, Irvine, commented that the study tackles a challenging question but suggested that its generalizability coudl be enhanced with more robust study designs.

“It’s a provocative study,but I am not sure it’s completely generalizable,” ⁣dr. Itchhaporia ‍noted.”it certainly would benefit from further research ⁣into a more vigorous study design. Even though the study uses a large, ⁢robust dataset, there could still be missing data or unmeasured confounding variables that can affect the findings.”

Crucially, ⁢the study design did not capture lifestyle data such as diet ⁣and exercise, nor did it account for family history. “We come away knowing‍ these patients are not doing well, but I’m‍ not sure we come away with the answer as to why, exactly,” Dr.Itchhaporia added. Prospective study designs, she suggested, ⁤could help uncover unknown variables influencing these outcomes. “We need more studies to really be able to drill down to see what would be crucial to know.”

Cost No Barrier

The findings⁣ suggest that factors beyond cost and insurance status are significantly impacting the health ⁤outcomes of this patient population. Miles Marchand, MD, clinical assistant professor of cardiology at the University of British Columbia, highlighted the importance of the study being conducted in a country with universal healthcare coverage.

“The real novelty and importance of this study is that it⁢ is performed in a country with universal healthcare ⁤coverage,” Dr. marchand told Medscape Medical News. “In this healthcare environment,disparate health outcomes ⁣cannot be explained solely by financial differences⁤ in access to care; other contributing factors might potentially be⁤ at play.”

Dr. Marchand commended the ⁢study’s large sample size ‍and robust data linkages but echoed the sentiment that the precise causal factors remain elusive. “One of the [study’s] main strengths is its use of large database linkages, resulting in a large cohort size,” he said. ⁣”One of the⁣ key limitations is that we don’t⁢ know the exact reason for disparities between neighborhoods. Why is it that a⁢ more marginalized neighborhood is at higher risk than a less marginalized neighborhood? This study is not able to answer that question.”

The study was funded by an Institute of Circulatory and⁣ Respiratory health/Canadian Institutes ‍of Health Research Team Grant to the Cardiovascular⁢ Health in Ambulatory Care Research Team. Akioyamen, Itchhaporia, and Marchand reported no relevant⁤ financial relationships.