Ethnic and Racial Disparities in Acute Myocardial Infarction

Disparities in access to and timing of interventional therapies for pulmonary embolism across the United States

BACKGROUND

Interventional therapies (ITs) are an emerging treatment modality for pulmonary embolism (PE); however, the degree of racial, sex-based, and sociodemographic disparities in access and timing is unknown.

OBJECTIVES

To investigate barriers to access and timing of ITs for PE across the United States.

METHODS

A retrospective cohort study utilizing the Nationwide Inpatient Sample from 2016-2020 included adult patients with PE. The use of ITs (mechanical thrombectomy and catheter-directed thrombolysis) was identified via International Classification of Diseases 10th revision codes. Early IT was defined as procedure performed within the first 2 days after admission.

RESULTS

A total of 27 805 273 records from the 2016-2020 Nationwide Inpatient Sample database were examined. There were 387 514 (1.4%) patients with PE, with 14 249 (3.6%) of them having undergone IT procedures (11 115 catheter-directed thrombolysis, 2314 thrombectomy, and 780 both procedures). After multivariate adjustment, factors associated with less use of IT included Black race (odds ratio [OR], 0.90; 95% CI, 0.86-0.94; P < .01), Hispanic race (OR, 0.73; 95% CI, 0.68-0.79; P < .01), female sex (OR, 0.88; 95% CI, 0.85-0.91; P < .01), treatment in a rural hospital (OR, 0.49; 95% CI, 0.44-0.54; P < .01), and lack of private insurance (Medicare OR, 0.77; 95% CI, 0.73-0.80; P < .01; Medicaid OR, 0.65; 95% CI, 0.61-0.69; P < .01; no coverage OR, 0.87; 95% CI, 0.82-0.93; P < .01). Among the patients who received IT, 11 315 (79%) procedures were conducted within 2 days of admission and 2934 (21%) were delayed. Factors associated with delayed procedures included Black race (OR, 1.12; 95% CI, 1.01-1.26; P = .04), Hispanic race (OR, 1.52; 95% CI, 1.28-1.80; P < .01), weekend admission (OR, 1.37; 95% CI, 1.25-1.51; P < .01), Medicare coverage (OR, 1.24; 95% CI, 1.10-1.40; P < .01), and Medicaid coverage (OR, 1.29; 95% CI, 1.12-1.49; P < .01).

CONCLUSION

Significant racial, sex-based, and geographic barriers exist in overall access to IT for PE in the United States.

Racial Implicit Bias and Communication Among Physicians in a Simulated Environment

Importance

Racial implicit bias can contribute to health disparities through its negative influence on physician communication with Black patients. Interventions for physicians to address racial implicit bias in their clinical encounters are limited by a lack of high-fidelity (realistic) simulations to provide opportunities for skill development and practice.

Objective

To describe the development and initial evaluation of a high-fidelity simulation of conditions under which physicians might be influenced by implicit racial bias.

Design, Setting, and Participants

This cross-sectional study, performed on an online platform from March 1 to September 30, 2022, recruited a convenience sample of physician volunteers to pilot an educational simulation.

Exposures

In the simulation exercise, physicians saw a 52-year-old male standardized patient (SP) (presenting as Black or White) seeking urgent care for epigastric pain, nausea, and vomiting. The case included cognitive stressors common to clinical environments, including clinical ambiguity, stress, time constraints, and interruptions. Physicians explained their diagnosis and treatment plan to the SP, wrote an assessment and management plan, completed surveys, and took the Race Implicit Association Test (IAT) and Race Medical Cooperativeness IAT. The SPs, blinded to the purpose of the study, assessed each physician's communication using skills checklists and global rating scales.

Main Outcomes and Measures

Association between physicians' IAT scores and SP race with SP ratings of communication skills.

Results

In 60 physicians (23 [38.3%] Asian, 4 [6.7%] Black, 23 [38.3%] White, and 10 [16.7%] other, including Latina/o/x, Middle Eastern, and multiracial; 31 [51.7%] female, 27 [45.0%] male, and 2 [3.3%] other), the interaction of physicians' Race IAT score and SP race was significant for overall communication (mean [SD] β = -1.29 [0.41]), all subdomains of communication (mean [SD] β = -1.17 [0.52] to -1.43 [0.59]), and overall global ratings (mean [SD] β = -1.09 [0.39]). Black SPs rated physicians lower on communication skills for a given pro-White Race IAT score than White SPs; White SP ratings increased as physicians' pro-White bias increased.

Conclusions and Relevance

In this cross-sectional study, a high-fidelity simulation calibrated with cognitive stressors common to clinical environments elicited the expected influence of racial implicit bias on physicians' communication skills. The outlined process and preliminary results can inform the development and evaluation of interventions that seek to address racial implicit bias in clinical encounters and improve physician communication with Black patients.

Factors influencing the indication of coronary angiography in patients presenting with chest pain unspecified: an analysis of two decades (1994-2014)

Guidelines for cardiac catheterization in patients with non-specific chest pain (NSCP) provide significant room for provider discretion, which has resulted in variability in the utilization of invasive coronary angiograms (CAs) and a high rate of normal angiograms. The overutilization of CAs in patients with NSCP and discharged without a diagnosis of coronary artery disease is an important issue in medical care quality. As a result, we sought to identify patient demographic, socioeconomic, and geographic factors that influenced the performance of a CA in patients with NSCP who were discharged without a diagnosis of coronary artery disease. We intended to establish reference data points for gauging the success of new initiatives for the evaluation of this patient population. In this 20-year retrospective cohort study (1994-2014), we examined 107 796 patients with NSCP from the Myocardial Infarction Data Acquisition System, a large statewide validated database that contains discharge data for all patients with cardiovascular disease admitted to every non-federal hospital in NJ. Patients were partitioned into two groups: those offered a CA (CA group; n = 12 541) and those that were not (No-CA group; n = 95 255). Geographic, demographic, and socioeconomic variables were compared between the two groups using multivariable logistic regression, which determined the predictive value of each categorical variable on the odds of receiving a CA. Whites were more likely than Blacks and other racial counterparts (19.7% vs. 5.6% and 16.5%, respectively; P < .001) to receive a CA. Geographically, patients who received a CA were more likely admitted to a large hospital compared to small- or medium-sized ones (12.5% vs. 8.9% and 9.7%, respectively; P < .05), a primary teaching institution rather than a teaching affiliate or community center (16.1 % vs. 14.3% and 9.1%, respectively; P < .001), and at a non-rural facility compared to a rural one (12.1% vs. 6.5%; P < .001). Lastly from a socioeconomic standpoint, patients with commercial insurance more often received a CA compared to those having Medicare or Medicaid/self-pay (13.7% vs. 9.5% and 6.0%, respectively; P < .001). The utilization of CA in patients with NSCP discharged without a diagnosis of coronary artery disease in NJ during the study period may be explained by differences in geographic, demographic, and socioeconomic factors. Patients with NSCP should be well scrutinized for CA eligibility, and reliable strategies are needed to reduce discretionary medical decisions and improve quality of care.

Temperature and socioeconomic vulnerability: associations with cardiac event-induced posttraumatic stress symptoms

Background

Posttraumatic stress symptoms (PTSS) are common after acute coronary syndrome (ACS) and predict increased morbidity and mortality. Climate change contributes to worse mental and cardiovascular health outcomes, thus, PTSS represent a potential mechanism linking climate change to adverse cardiovascular outcomes. Because people living in areas with lower socioeconomic status (SES) experience greater climate vulnerability, have worse cardiovascular health, and may be more susceptible to PTSS, any effect of temperature on PTSS could be amplified in this population.

Methods

Spatial regression models were estimated to test the association of temperature and temperature variability (within-day variability, directed change over time, and absolute change over time), census tract-level SES, and their interaction with PTSS 1 month post-hospital discharge in a longitudinal cohort study comprising 956 patients evaluated for ACS at an urban U.S. academic medical center between November 2013-May 2017. PTSS were self-reported in relation to the ACS event that brought the patient to the hospital. Census tract-level was computed as a composite score from the CDC Social Vulnerability Index, with higher values indicating lower SES.

Results

No temperature or temperature variability metrics were associated with PTSS. Lower census tract-level SES was associated with greater PTSS at 1 month. There was a marginally significant interaction of SES with ACS status, such that we only observed evidence of an association among those with ACS.

Conclusion

Temperature exposures were not associated with acute CVD-induced PTSS, which could be a result of a small sample size, mismatched timescale, or lack of a true effect. Conversely, lower census tract-level SES was associated with developing worse PTSS 1 month after evaluation for an ACS. This association appeared stronger in individuals with a true ACS. Early interventions to prevent PTSS could promote better mental and CVD outcomes in this at-risk population.

US Initiative to Eliminate Racial and Ethnic Disparities in Health: The Impact on the Outcomes of ST-Segment-Elevation Myocardial Infarction in New Jersey

Background In 1998, President Clinton launched a federal initiative to eliminate racial and ethnic health disparities. The impact on the outcomes of ST-segment-elevation myocardial infarction has not been well studied. Methods and Results ST-segment-elevation myocardial infarction outcomes from 1994 to 2015 were studied in 7942 Black, 27 665 Hispanic, and 88 727 White patients with first admission of ST-segment-elevation myocardial infarction using the Myocardial Infarction Data Acquisition System. Logistic regressions were used to assess mortality adjusting for demographics, comorbidities, and interventional procedures. There was an overall rise from 1994 to 2015 in the use of percutaneous coronary interventions in all 3 groups. Before 1998, White patients received more percutaneous coronary interventions compared with Black and Hispanic patients (P<0.05). After 1998, the disparity in use of percutaneous coronary interventions in Black and Hispanic patients was greatly reduced compared with White patients, and the difference reversed in favor of Hispanic patients after 2005 (P<0.05). There was an overall downward trend of in-hospital mortality without evidence of disparity among Black, Hispanic, and White patients. A linear regression model was used with a change point in 1998. Before 1998, the slope of 1-year all-cause and cardiovascular mortality was not statistically significant. After 1998, the mortality showed negative slopes for all 3 groups, however, with lower overall crude mortality for Hispanic patients compared with Black and White patients (P<0.0001). Conclusions The initiative launched in 1998 may have contributed to a reduction in percutaneous coronary intervention usage disparity in patients with ST-segment-elevation myocardial infarction. Short- and long-term mortality decreased in all 3 groups, but more in the Hispanic population.

Hospitals That Serve Many Black Patients Have Lower Revenues and Profits: Structural Racism in Hospital Financing

BACKGROUND

Care for Black patients is concentrated at a relatively small proportion of all US hospitals. Some previous studies have documented quality deficits at Black-serving hospitals, which may be due to inequities in financial resources for care.

OBJECTIVE

To assess disparities in funding between hospitals associated with the proportion of Black patients that they serve.

PARTICIPANTS

All Medicare-participating hospitals, 2016-2018.

MAIN MEASURES

Patient care revenues and profits per patient day at Black-serving hospitals (the top 10% of hospitals ranked by the share of Black patients among all Medicare inpatients) and at other hospitals, unadjusted and adjusted for differences in case mix and hospital characteristics.

KEY RESULTS

Among the 574 Black-serving hospitals, an average of 43.7% of Medicare inpatients were Black, vs. 5.2% at the 5,166 other hospitals. Black-serving hospitals were slightly larger, and were more often urban, teaching, and for-profit or government (vs. non-profit) owned. Patient care revenues and profits averaged $1,736 and $-17 per patient day respectively at Black-serving hospitals vs. $2,213 and $126 per patient day at other hospitals (p<.001 for both comparisons). Adjusted for patient case mix and hospital characteristics, mean revenues were $283 lower/patient day (p<.001) and mean profits were $111/patient day lower (p<.001) at Black-serving hospitals. Equalizing reimbursement levels would have required $14 billion in additional payments to Black-serving hospitals in 2018, a mean of approximately $26 million per Black-serving hospital.

CONCLUSIONS

US hospital financing effectively assigns a lower dollar value to the care of Black patients. To reduce disparities in care, health financing reforms should eliminate the underpayment of hospitals serving a large share of Black patients.

Hospital value-based payment programs and disparity in the United States: A review of current evidence and future perspectives

Beginning in the early 2010s, an array of Value-Based Purchasing (VBP) programs has been developed in the United States (U.S.) to contain costs and improve health care quality. Despite documented successes in these efforts in some instances, there have been growing concerns about the programs' unintended consequences for health care disparities due to their built-in biases against health care organizations that serve a disproportionate share of disadvantaged patient populations. We explore the effects of three Medicare hospital VBP programs on health and health care disparities in the U.S. by reviewing their designs, implementation history, and evidence on health care disparities. The available empirical evidence thus far suggests varied impacts of hospital VBP programs on health care disparities. Most of the reviewed studies in this paper demonstrate that hospital VBP programs have the tendency to exacerbate health care disparities, while a few others found evidence of little or no worsening impacts on disparities. We discuss several policy options and recommendations which include various reform approaches and specific programs ranging from those addressing upstream structural barriers to health care access, to health care delivery strategies that target service utilization and health outcomes of vulnerable populations under the VBP programs. Future studies are needed to produce more explicit, conclusive, and consistent evidence on the impacts of hospital VBP programs on disparities.

Follow-up Post-discharge and Readmission Disparities Among Medicare Fee-for-Service Beneficiaries, 2018

BACKGROUND

Previous studies have identified disparities in readmissions among Medicare beneficiaries hospitalized for the Hospital Readmissions Reduction Program's (HRRP's) priority conditions. Evidence suggests timely follow-up is associated with reduced risk of readmission, but it is unknown whether timely follow-up reduces disparities in readmission.

OBJECTIVE

To assess whether follow-up within 7 days after discharge from a hospitalization reduces risk of readmission and mitigates identified readmission disparities.

DESIGN

A retrospective cohort study using Cox proportional hazards models to estimate the associations between sociodemographic characteristics (race and ethnicity, dual-eligibility status, rurality, and area social deprivation), follow-up, and readmission. Mediation analysis was used to examine if disparities in readmission were mitigated by follow-up.

PARTICIPANTS

We analyzed data from 749,402 Medicare fee-for-service beneficiaries hospitalized for acute myocardial infarction, chronic obstructive pulmonary disease, heart failure, or pneumonia, and discharged home between January 1 and December 1, 2018.

MAIN MEASURE

All-cause unplanned readmission within 30 days after discharge.

KEY RESULTS

Post-discharge follow-up within 7 days of discharge was associated with a substantially lower risk of readmission (HR: 0.52, 95% CI: 0.52-0.53). Across all four HRRP conditions, beneficiaries with dual eligibility and beneficiaries living in areas with high social deprivation had a higher risk of readmission. Non-Hispanic Black beneficiaries had higher risk of readmission after hospitalization for pneumonia relative to non-Hispanic Whites. Mediation analysis suggested that 7-day follow-up mediated 21.2% of the disparity in the risk of readmission between dually and non-dually eligible beneficiaries and 50.7% of the disparity in the risk of readmission between beneficiaries living in areas with the highest and lowest social deprivation. Analysis suggested that after hospitalization for pneumonia, 7-day follow-up mediated nearly all (97.5%) of the increased risk of readmission between non-Hispanic Black and non-Hispanic White beneficiaries.

CONCLUSIONS

Improving rates of follow-up could be a strategy to reduce readmissions for all beneficiaries and reduce disparities in readmission based on sociodemographic characteristics.

Relationship Between Cumulative Adverse Childhood Experiences and Myocardial Infarction in Adulthood: a Systematic Review and Meta-analysis

The aim of this systematic review and meta-analysis was to estimate the relationship between cumulative adverse childhood experiences (ACEs) and myocardial infarction (MI) in adulthood and to examine the role of potential confounding factors that may have contributed to the association. Studies examining the association of cumulative ACEs with MI among adults were identified by searching PubMed/MEDLINE, PsycINFO, ScienceDirect, and ProQuest Dissertations and Thesis. Individual estimates of odds ratios were pooled using random effects meta-analysis. Articles were pooled separately according to whether findings were adjusted for sociodemographic factors, cardiovascular disease (CVD) risk factors, and psychological factors. Several moderators were also examined: age, gender, race/ethnicity, type of MI assessment, type of cumulative ACEs assessment, and quality assessment of included studies. A total of 10 eligible studies met our inclusion criteria. The pooled ORs for the magnitude of the relationship between ACEs and MI were OR = 1.88; 95% CI, 1.40-2.53, before adjustment for CVD risk factors, and OR = 1.78; 95% CI, 1.24-2.57, after adjustment for CVD risk factors. The association between ACEs and MI was OR = 2.09; 95% CI, 1.43-3.06, after further adjustment for psychological factors. Effect sizes were larger when studies included participants predominantly over 55 years of age than younger participants. Cumulative ACEs is associated with an increased risk of MI in adulthood. However, further prospective studies are needed to better understand potential moderators that attenuate or amplify observed relations.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40653-021-00404-7.

Association of Race and Ethnicity on the Management of Acute Non-ST-Segment Elevation Myocardial Infarction

Background

Prior studies have reported disparities by race in the management of acute myocardial infarction (MI), with many studies having limited covariates or now dated. We examined racial and ethnic differences in the management of MI, specifically non–ST‐segment‐elevation MI (NSTEMI), in a large, socially diverse cohort of insured patients. We hypothesized that the racial and ethnic disparities in the receipt of coronary angiography or percutaneous coronary intervention would persist in contemporary data.

Methods and Results

We identified individuals presenting with incident, type I NSTEMI from 2017 to 2019 captured by a health claims database. Race and ethnicity were categorized by the database as Asian, Black, Hispanic, or White. Covariates included demographics (age, sex, race, and ethnicity); Elixhauser variables, including cardiovascular risk factors and other comorbid conditions; and social factors of estimated annual household income and educational attainment. We examined rates of coronary angiography and percutaneous coronary intervention by race and ethnicity and income categories and in multivariable‐adjusted models. We identified 87 094 individuals (age 73.8±11.6 years; 55.6% male; 2.6% Asian, 13.4% Black, 11.2% Hispanic, 72.7% White) with incident NSTEMI events from 2017 to 2019. Individuals of Black race were less likely to undergo coronary angiography (odds ratio [OR], 0.93; [95% CI, 0.89–0.98]) and percutaneous coronary intervention (OR, 0.86; [95% CI, 0.81–0.90]) than those of White race. Hispanic individuals were less likely (OR, 0.88; [95% CI, 0.84–0.93]) to undergo coronary angiography and percutaneous coronary intervention (OR, 0.85; [95% CI, 0.81–0.89]) than those of White race. Higher annual household income attenuated differences in the receipt of coronary angiography across all racial and ethnic groups.

Conclusions

We identified significant racial and ethnic differences in the management of individuals presenting with NSTEMI that were marginally attenuated by higher household income. Our findings suggest continued evidence of health inequities in contemporary NSTEMI treatment.

Influence of Household Income on Management and Outcomes of Acute Myocardial Infarction Complicated by Cardiogenic Shock

The impact of socioeconomic status on care and outcomes of patients with acute myocardial infarction complicated by cardiogenic shock (AMI-CS) remains understudied. Hence, adult admissions with AMI-CS were identified from the National Inpatient Sample database (2005 to 2017) and were divided into quartiles on the basis of median household income for zip code (0 to 25th, 26th to 50th, 51st to 75th, and 76th to 100th). In-hospital mortality, use of cardiac and noncardiac procedures, and resource utilization were compared between all 4 income quartiles. Among a total of 7,805,681 AMI admissions, cardiogenic shock was identified in 409,294 admissions (5.2%) with comparable prevalence of cardiogenic shock across all 4 income quartiles. AMI-CS admissions belonging to the lowest income quartile presented more often with non-ST-elevation myocardial infarction and had comparable use of coronary angiography and percutaneous coronary intervention but lower use of early coronary angiography, early percutaneous coronary intervention, mechanical circulatory support devices, and pulmonary artery catheterization than higher income quartiles. In the adjusted analysis, admissions belonging to the 0 to 25th income quartile (odds ratio [OR] 1.17 [95% confidence interval [CI] 1.15 to 1.20], p <0.001), 26th to 50th quartile (OR 1.11 [95% CI 1.09 to 1.14], p <0.001), and 51st to 75th income quartile (OR 1.06 [95% CI 1.04 to 1.09], p <0.001) had higher adjusted in-hospital mortality than the highest income quartile (76th to 100th). Lowest income quartile admissions had lower rates of palliative care consultations and higher rates of do-not-resuscitate status than the higher income quartiles. Hospitalization charges and length of stay were higher for admissions belonging to the highest income quartile. In conclusion, lowest income quartile AMI-CS admissions were associated with higher rates of non-ST-elevation myocardial infarction, lower use of mechanical circulatory support devices, and higher in-hospital mortality.

Intimate Relationships and Coronary Heart Disease: Implications for Risk, Prevention, and Patient Management

Purpose of Review

Research and clinical services addressing psychosocial aspects of coronary heart disease (CHD) typically emphasize individuals, focusing less on the context of intimate relationships such as marriage and similar partnerships. This review describes current evidence regarding the role of intimate relationships in the development, course, and management of CHD.

Recent Findings

Having an intimate partner is associated with reduced risk of incident CHD and a better prognosis among patients, but strain (e.g., conflict) and disruption (i.e., separation, divorce) in these relationships are associated with increased risk and poor outcomes. These associations likely reflect mechanisms involving health behavior and the physiological effects of emotion and stress. Importantly, many other well-established psychosocial risk and protective factors (e.g., low SES, job stress, depression, and optimism) are strongly related to the quality of intimate relationships, and these associations likely contribute to the effects of those other psychosocial factors. For better or worse, intimate partners can also affect the outcome of efforts to alter health behaviors (physical activity, diet, smoking, and medication adherence) central in the prevention and management CHD. Intimate partners also influence—and are influenced by—stressful aspects of acute coronary crises and longer-term patient adjustment and management.

Summary

Evidence on each of these roles of intimate relationships in CHD is considerable, but direct demonstrations of the value of couple assessments and interventions are limited, although preliminary research is promising. Research needed to close this gap must also address issues of diversity, disparities, and inequity that have strong parallels in CHD and intimate relationships.

Association of participation in Cardiac Rehabilitation with Social Vulnerability Index: The behavioral risk factor surveillance system

OBJECTIVES

To identify whether social vulnerability is associated with low cardiac rehabilitations (CR) use, a Class I recommendation by current treatment guidelines following acute myocardial infarction (AMI).

METHODS

We performed this cross-sectional study using the 2017 Behavioral Risk Factor Surveillance System (BRFSS) survey. The Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI) was calculated using 15 social risk factors from 4 main themes including socioeconomic status, household composition and disability, minority status and language, and housing type and transportation. A higher SVI indicates higher social vulnerability. We used multivariable logistic regression models to evaluate the association of CR use with state-level SVI adjusted for demographic, behavioral, socioeconomic, and comorbidity variables.

RESULTS

A total 2093 participants with history of AMI were included. Out of total, 61.7% were older than 65 years, 42.5% female, 72.5% White, and 42.4% used CR. Participation in CR was lower among females (odds ratio [OR], 0.64; 95% confidence interval [CI], 0.44-0.91), those without a primary care physician (OR, 0.45; 95% CI, 0.23-0.87), and higher with college degree education (OR, 1.95; 95% CI, 1.06-3.59). CR use decreased with increasing SVI tertiles (1st =61%, 2nd =52%, and 3rd =35%). Compared with those residing in states in the 1st tertile, CR use was lower in the 2nd (OR, 0.68; 95% CI, 0.47-0.98) and 3rd (OR, 0.33; 95% CI 0.23-0.48) SVI tertiles.

CONCLUSION

CR use following AMI is low and is associated with social vulnerability. Identifying social risk factors may help improve access to care among vulnerable populations.

Examining Predictors of Myocardial Infarction

Cardiovascular diseases are the leading cause of death in the United States. This study analyzed predictors of myocardial infarction (MI) for those aged 35 and older based on demographic, socioeconomic, geographic, behavioral, and risk factors, as well as access to healthcare variables using the Center for Disease (CDC) Control Behavioral Risk Factor Surveillance System (BRFSS) survey for the year 2019. Multiple quasibinomial models were generated on an 80% training set hierarchically and then used to forecast the 20% test set. The final training model proved somewhat capable of prediction with a weighted F1-Score = 0.898. A complete model based on statistically significant variables using the entirety of the dataset was compared to the same model built on the training set. Models demonstrated coefficient stability. Similar to previous studies, age, gender, marital status, veteran status, income, home ownership, employment status, and education level were important demographic and socioeconomic predictors. The only geographic variable that remained in the model was associated with the West North Central Census Division (in-creased risk). Statistically important behavioral and risk factors as well as comorbidities included health status, smoking, alcohol consumption frequency, cholesterol, blood pressure, diabetes, stroke, chronic obstructive pulmonary disorder (COPD), kidney disease, and arthritis. Three access to healthcare variables proved statistically significant: lack of a primary care provider (Odds Ratio, OR = 0.853, p < 0.001), cost considerations prevented some care (OR = 1.232, p < 0.001), and lack of an annual checkup (OR = 0.807, p < 0.001). The directionality of these odds ratios is congruent with a marginal effects model and implies that those without MI are more likely not to have a primary provider or annual checkup, but those with MI are more likely to have missed care due to the cost of that care. Cost of healthcare for MI patients is associated with not receiving care after accounting for all other variables.

Epidemiology of Geographic Disparities of Myocardial Infarction Among Older Adults in the United States: Analysis of 2000-2017 Medicare Data

Background: There are substantial geographic disparities in the life expectancy (LE) across the U.S. with myocardial infarction (MI) contributing significantly to the differences between the states with highest (leading) and lowest (lagging) LE. This study aimed to systematically investigate the epidemiology of geographic disparities in MI among older adults.

Methods: Data on MI outcomes among adults aged 65+ were derived from the Center for Disease Control and Prevention-sponsored Wide-Ranging Online Data for Epidemiologic Research database and a 5% sample of Medicare Beneficiaries for 2000–2017. Death certificate-based mortality from MI as underlying/multiple cause of death (CBM-UCD/CBM-MCD), incidence-based mortality (IBM), incidence, prevalence, prevalence at age 65, and 1-, 3-, and 5-year survival, and remaining LE at age 65 were estimated and compared between the leading and lagging states. Cox model was used to investigate the effect of residence in the lagging states on MI incidence and survival.

Results: Between 2000 and 2017, MI mortality was higher in the lagging than in the leading states (per 100,000, CBM-UCD: 236.7–583.7 vs. 128.2–357.6, CBM-MCD: 322.7–707.7 vs. 182.4–437.7, IBM: 1330.5–1518.9 vs. 1003.3–1197.0). Compared to the leading states, lagging states had higher MI incidence (1.1–2.0% vs. 0.9–1.8%), prevalence (10.2–13.1% vs. 8.3–11.9%), pre-existing prevalence (2.5–5.1% vs. 1.4–3.6%), and lower survival (70.4 vs. 77.2% for 1-year, 63.2 vs. 67.2% for 3-year, and 52.1 vs. 58.7% for 5-year), and lower remaining LE at age 65 among MI patients (years, 8.8–10.9 vs. 9.9–12.8). Cox model results showed that the lagging states had greater risk of MI incidence [Adjusted hazards ratio, AHR (95% Confidence Interval, CI): 1.18 (1.16, 1.19)] and death after MI diagnosis [1.22 (1.21, 1.24)]. Study results also showed alarming declines in survival and remaining LE at age 65 among MI patients.

Conclusion: There are substantial geographic disparities in MI outcomes, with lagging states having higher MI mortality, incidence, and prevalence, lower survival and remaining LE at age 65. Disparities in MI mortality in a great extent could be due to between-the-state differences in MI incidence, prevalence at age 65 and survival. Observed declines in survival and remaining LE require an urgent analysis of contributing factors that must be addressed.