Racial Difference in Symptom Onset to Door Time in ST Elevation Myocardial Infarction

Racial disparities in women with ST elevation myocardial infarction: A National Inpatient Sample review of baseline characteristics, co-morbidities, and outcomes in women with STEMI

BACKGROUND

A third of the patients admitted with Acute coronary syndrome (ACS) have ST-elevation myocardial infarction (STEMI). Previous studies showed that females with STEMI have higher mortality than men.

HYPOTHESIS

There exist significant disparities in outcomes among women of different races presenting with STEMI.

METHODS

National inpatient sample (NIS) data was obtained from January 2016 to December 2018 for the hospitalization of female patients with STEMI. We compared outcomes, using an extensive multivariate regression analysis amongst women from different races. Our primary outcome was in-hospital mortality. Secondary outcomes were revascularization use, procedure complications, and healthcare utilization.

RESULTS

Of 202 223 female patients with STEMI; 11.3% were African American, 7.4% Hispanic, 2.4% Asian, and 4.3% another race. In-hospital mortality was higher in non-Caucasian groups. African American (adjusted odds ratio [aOR] 1.2; 95% confidence interval [CI]: 1.07-1.30; p < .01) and another race (aOR 1.37; 95% CI: 1.15-1.63; p < .01) had higher odds of mortality when compared with white women. African American (aOR 0.69; 95% CI: 0.62-0.72; p < .01), Hispanics (aOR 0.81; 95% CI: 0.74-0.88; p < .01), and Asian (aOR 0.79; 95% CI: 0.69-0.90; p < .01) had lower odds of percutaneous intervention (PCI) when compared with whites. African Americans had fewer odds of Coronary Artery Bypass Graft (CABG) and use of Mechanical Circulatory Support (MCS) during the index admission. Non-Caucasians had more comorbidities, complications, and healthcare utilization costs.

CONCLUSION

There are significant racial disparities in clinical outcomes and revascularization in female patients with STEMI. African American women have a higher likelihood of mortality among the different races. Females from minority groups are also less likely to undergo PCI.

Black lives matter … in the cath lab, too! A proposal for the interventional cardiology community to counteract bias and racism

Structural racism in the United States underlies racial disparities in the criminal justice system, in the healthcare system generally, and with regards to the COVID-19 pandemic. In the year 2020, these inequities combined and magnified to such a degree that it left Black Americans and physicians caring for them questioning how much Black lives matter. Academic medical centers and the major cardiology organizations responded to a global call to end racism with bold statements and initiatives. Interventional cardiologists utilize advanced equipment to mechanically treat a wide spectrum of heart problems, yet this technology has not been applied in an equitable manner. Interventional therapies are often underutilized in Blacks, exacerbating healthcare disparities and contributing to the excess cardiovascular morbidity and mortality in these communities. Racial bias, whether intentional, unconscious, systemic, or at the individual level, plays a role in these disparities. Many in the interventional cardiology community aspire to take intentional steps to reduce the impact of bias and racism in our specialty. We discuss several proposals here and provide a "report card" for interventional programs to perform a self-assessment.

Racial and ethnic disparities in coronary, vascular, structural, and congenital heart disease

Cardiovascular disease (CVD) remains the leading cause of death in the United States. However, percutaneous interventional cardiovascular therapies are often underutilized in Blacks, Hispanics, and women and may contribute to excess morbidity and mortality in these vulnerable populations. The Society for Cardiovascular Angiography and Interventions (SCAI) is committed to reducing racial, ethnic, and sex-based treatment disparities in interventional cardiology patients. Accordingly, each of the SCAI Clinical Interest Councils (coronary, peripheral, structural, and congenital heart disease [CHD]) participated in the development of this whitepaper addressing disparities in diagnosis, treatment, and outcomes in underserved populations. The councils were charged with summarizing the available data on prevalence, treatment, and outcomes and elucidating potential reasons for any disparities. Given the huge changes in racial and ethnic composition by age in the United States (Figure 1), it was difficult to determine disparities in rates of diagnosis and we expected to find some racial differences in prevalence of disease. For example, since the average age of patients undergoing transcatheter aortic valve replacement (TAVR) is 80 years, one may expect 80% of TAVR patients to be non-Hispanic White. Conversely, only 50% of congenital heart interventions would be expected to be performed in non-Hispanic Whites. Finally, we identified opportunities for SCAI to advance clinical care and equity for our patients, regardless of sex, ethnicity, or race.

Understanding and Informing Community Emergency Cardiovascular Disease Preparedness during the COVID-19 Pandemic: Stroke Ready

Introduction

Acute stroke and acute myocardial infarction (AMI) treatments are time sensitive. Early data revealed a decrease in presentation and an increase in pre-hospital delay for acute stroke and AMI during the coronavirus disease 2019 (COVID-19) pandemic. Thus, we set out to understand community members’ perception of seeking acute stroke and AMI care during the COVID-19 pandemic to inform strategies to increase cardiovascular disease preparedness during the pandemic.

Methods

Given the urgency of the clinical and public health situation, through a community-based participatory research partnership, we utilized a rapid assessment approach. We developed an interview guide and data collection form guided by the Theory of Planned Behavior (TPB). Semi-structured interviews were recorded and conducted via phone and data was collected on structured collection forms and real time transcription. Direct content analysis was conducted guided by the TPB model and responses for AMI and stroke were compared.

Results

We performed 15 semi-structured interviews. Eighty percent of participants were Black Americans; median age was 50; 73% were women. Participants reported concerns about coronavirus transmission in the ambulance and at the hospital, hospital capacity and ability to triage, and quality of care. Change in employment and childcare also impacted participants reported control over seeking emergent cardiovascular care. Based on these findings, our community and academic team co-created online materials to address the community-identified barriers, which has reached over 8,600 users and engaged almost 600 users.

Conclusions

We found that community members’ attitudes and perceived behavioral control to seek emergent cardiovascular care were impacted by the COVID-19 pandemic. Community-informed, health behavior theory-based public health messaging that address these constructs may decrease prehospital delay.

Association between race/ethnicity, illness severity, and mortality in children undergoing cardiac surgery

OBJECTIVE

Prior studies demonstrate an association between nonwhite race/ethnicity, insurance status, and mortality after pediatric congenital heart surgery. The influence of severity of illness on that association is unknown. We examined the relationship between race/ethnicity, severity of illness, and mortality in congenital cardiac surgery, and whether severity of illness is a mechanism by which nonwhite patients experience increased surgical mortality.

METHODS

We performed a retrospective cohort study of children younger than age 18 years old undergoing cardiac surgery admitted to the intensive care unit (n = 40,545) between 2009 and 2016 from the Virtual Pediatric Systems (VPS, LLC, Los Angeles, Calif) database. Multivariate regression models were constructed to examine the role of severity of illness as a mediator between race/ethnicity and mortality in children undergoing cardiac surgery.

RESULTS

In multivariate models examining severity of illness scores, African-American patients had statistically significant higher severity of illness scores when compared with their white counterparts. In multivariate models of intensive care unit mortality after adjustment for covariates, African-American patients had a higher odds of postoperative mortality (odds ratio, 1.40, 95% confidence interval, 1.04-1.89) when compared with white children. This increased odds of mortality was mediated through higher severity of illness, because adjustment for severity of illness removed this survival disadvantage for black patients.

CONCLUSIONS

Although African-American children undergoing cardiac surgery had higher postoperative mortality, this survival difference appears to be mediated via severity of illness. Preoperative and intraoperative factors may be drivers for this survival disparity.

Measuring Emergency Care Survival: The Implications of Risk Adjusting for Race and Poverty

OBJECTIVES

We determined the impact of including race, ethnicity, and poverty in risk adjustment models for emergency care-sensitive conditions mortality that could be used for hospital pay-for-performance initiatives. We hypothesized that adjusting for race, ethnicity, and poverty would bolster rankings for hospitals that cared for a disproportionate share of nonwhite, Hispanic, or poor patients.

METHODS

We performed a cross-sectional analysis of patients admitted from the emergency department to 157 hospitals in Pennsylvania with trauma, sepsis, stroke, cardiac arrest, and ST-elevation myocardial infarction. We used multivariable logistic regression models to predict in-hospital mortality. We determined the predictive accuracy of adding patient race and ethnicity (dichotomized as non-Hispanic white vs. all other Hispanic or nonwhite patients) and poverty (uninsured, on Medicaid, or lowest income quartile zip code vs. all others) to other patient-level covariates. We then ranked each hospital on observed-to-expected mortality, with and without race, ethnicity, and poverty in the model, and examined characteristics of hospitals with large changes between models.

RESULTS

The overall mortality rate among 170,750 inpatients was 6.9%. Mortality was significantly higher for nonwhite and Hispanic patients (adjusted odds ratio [aOR] = 1.27, 95% confidence interval [CI] = 1.19-1.36) and poor patients (aOR = 1.21, 95% CI = 1.12-1.31). Adding race, ethnicity, and poverty to the risk adjustment model resulted in a small increase in C-statistic (0.8260 to 0.8265, p = 0.002). No hospitals moved into or out of the highest-performing decile when adjustment for race, ethnicity, and poverty was added, but the three hospitals that moved out of the lowest-performing decile, relative to other hospitals, had significantly more nonwhite and Hispanic patients (68% vs. 11%, p < 0.001) and poor patients (56% vs. 10%, p < 0.001).

CONCLUSIONS

Sociodemographic risk adjustment of emergency care-sensitive mortality improves apparent performance of some hospitals treating a large number of nonwhite, Hispanic, or poor patients. This may help these hospitals avoid financial penalties in pay-for-performance programs.