Untwisting healthcare access disparities: A comprehensive analysis of demographic, socio-economic and racial disparities impacting patient outcomes in myocardial infarction patients.

INTRODUCTION: Myocardial infarction (MI) is one of the most life-threatening pathologies characterized by sudden cardiac death and is among the leading causes of mortality in the developed world. AIMS: This study investigates the demographic, socio-economic, and healthcare access disparities in the US among patients with myocardial infarction (MI). METHODOLOGY: This was a retrospective original research study conducted using the BRFSS (Behavioural risk factor surveillance system) database of CDC (Centers for disease control and prevention).Data was extracted from the BRFSS on 3rd January 2024 to identify patients with MI in the year 2021 and multivariate models were used to assess the relationship between factors such as age, gender, income levels, and education in patients with myocardial infarction. RESULTS: Individuals in the age group of 65 years or older constituted the highest percentage of MI cases at 66.33 % (OR, 16.66; 95 % CI, 10.27-27.02; p-value <0.0001).Males showed a higher prevalence of MI, accounting for 61.19 % of cases, and females demonstrated lower susceptibility (OR, 0.46; 95 % CI, 0.43-0.50; p-value <0.0001).High school graduates (Grade 12 or GED) exhibited the highest incidence at 32.08 % (OR, 1.44; 95 % CI, 0.81-2.56; p-value 0.2084). Retirees accounted for the highest incidence at 56.06 %, with significantly increased odds compared to those employed for wages (OR, 1.93; 95 % CI, 1.71-2.19; p-value <0.0001).The analysis of income levels indicated the highest MI incidence in the $25,000 <= Income < $35,000 group (17.31 % of cases). CONCLUSIONS: Additional research is necessary to further disentangle the interaction between MI and factors such as age, gender, education level, race, employment status, and income level, and as the findings of this study suggest, retired individuals and individuals from lower-income groups indicate a disparity in access to timely treatment regarding MI. Thus, the determination of such discrepancies needs to be addressed regarding how such factors affect access to timely healthcare, especially in matters of widely prevalent diseases such as MI.

Racial disparities among older adults with acute myocardial infarction: The SILVER-AMI study.

BACKGROUND: Despite an aging population, little is known about racial disparities in aging-specific functional impairments and mortality among older adults hospitalized for acute myocardial infarction (AMI). METHODS: We analyzed data from patients aged 75 years or older who were hospitalized for AMI at 94 US hospitals from 2013 to 2016. Functional impairments and geriatric conditions were assessed in-person during the AMI hospitalization. The association between race and risk of mortality (primary outcome) was evaluated with logistic regression adjusted sequentially for age, clinical characteristics, and measures of functional impairment and other conditions associated with aging. RESULTS: Among 2918 participants, 2668 (91.4%) self-identified as White and 250 (8.6%) as Black. Black participants were younger (80.8 vs 81.7 years; p = 0.010) and more likely to be female (64.8% vs 42.5%; p < 0.001). Black participants were more likely to present with impairments in cognition (37.6% vs 14.5%; p < 0.001), mobility (66.0% vs 54.6%; p < 0.001) and vision (50.1% vs 35.7%; p < 0.001). Black participants were also more likely to report a disability in one or more activities of daily living (22.4% vs 13.0%; p < 0.001) and an unintentional loss of more than 10 lbs in the year prior to hospitalization (37.2% vs 13.0%; p < 0.001). The unadjusted odds of 6-month mortality among Black participants (odds ratio [OR] 2.0, 95% confidence interval [CI] 1.4-2.8) attenuated to non-significance after adjustment for age, clinical characteristics (OR 1.70, 95% CI 1.7, 1.2-2.5), and functional/geriatric conditions (OR 1.5, 95% CI 1.0-2.2). CONCLUSIONS: Black participants had a more geriatric phenotype despite a younger average age, with more functional impairments. Controlling for functional impairments and geriatric conditions attenuated disparities in 6-month mortality somewhat. These findings highlight the importance of systematically assessing functional impairment during hospitalization and also ensuring equitable access to community programs to support post-AMI recovery among Black older adults.

Racial Disparities in Adverse Cardiovascular Outcomes After a Myocardial Infarction in Young or Middle-Aged Patients.

Background Black patients tend to develop coronary artery disease at a younger age than other groups. Previous data on racial disparities in outcomes of myocardial infarction (MI) have been inconsistent and limited to older populations. Our objective was to investigate racial differences in the outcome of MI among young and middle-aged patients and the role played by socioeconomic, psychosocial, and clinical differences. Methods and Results We studied 313 participants (65% non-Hispanic Black) <61 years old hospitalized for confirmed type 1 MI at Emory-affiliated hospitals and followed them for 5 years. We used Cox proportional-hazard models to estimate the association of race with a composite end point of recurrent MI, stroke, heart failure, or cardiovascular death after adjusting for demographic, socioeceonomic status, psychological, and clinical risk factors. The mean age was 50 years, and 50% were women. Compared with non-Black patients, Black patients had lower socioeconomic status and more clinical and psychosocial risk factors but less angiographic coronary artery disease. The 5-year incidence of cardiovascular events was higher in Black (35%) compared to non-Black patients (19%): hazard ratio (HR) 2.1, 95% CI, 1.3 to 3.6. Adjustment for socioeconomic status weakened the association (HR 1.3, 95% CI, 0.8-2.4) more than adjustment for clinical and psychological risk factors. A lower income explained 46% of the race-related disparity in outcome. Conclusions Among young and middle-aged adult survivors of an MI, Black patients have a 2-fold higher risk of adverse outcomes, which is largely driven by upstream socioeconomic factors rather than downstream psychological and clinical risk factors.

Cardiovascular Disease Events and Mortality After Myocardial Infarction Among Black and White Adults: REGARDS Study.

BACKGROUND: Despite improvements in prognosis following myocardial infarction (MI), racial disparities persist. The objective of this study was to examine disparities between Black and White adults in cardiovascular disease (CVD), coronary heart disease, stroke, heart failure (HF), and mortality after MI and characteristics that may explain the disparities. METHODS: This prospective cohort study included 1122 REGARDS (Reasons for Geographic and Racial Differences in Stroke) study participants with incident MI between 2003 and 2016. We followed participants for subsequent CVD events (MI, stroke, HF hospitalization, or death from CVD; n=431), coronary heart disease events (MI or death from coronary heart disease; (n=277), stroke (n=68), HF events (HF hospitalization or death from HF; n=191), and all-cause mortality (n=527; 3-year median follow-up after MI). RESULTS: Among 1122 participants with incident MI, 37.5% were Black participants, 45.4% were women, and mean age was 73.2 (SD, 9.5) years. The unadjusted hazard ratio for CVD events comparing Black to White participants was 1.42 (95% CI, 1.17-1.71). Adjusting for sociodemographic characteristics did not attenuate the association (1.41 [95% CI, 1.14-1.73]), but further adjusting for pre-MI health status (1.25 [95% CI, 1.00-1.56]) and characteristics of the MI (1.01 [95% CI, 0.80-1.27]) resulted in substantial attenuation. Similar patterns were observed for the other outcomes, although the number of strokes was small. CONCLUSIONS: Black individuals had a higher risk of CVD events and mortality after MI than White individuals. The disparities were explained by health status before MI and characteristics of the MI. These findings suggest that both primordial prevention of risk factors and improved acute treatment strategies are needed to reduce disparities in post-MI outcomes.

A Decomposition Method to Assess the Contributions of Geographic and Nongeographic Factors to White-Black Disparities in Health Care.

BACKGROUND: Black-white gaps in high-quality hospital use are documented, but the relative contributions of various factors are unclear. The objective of this study was to quantify the contributions of differences in geographic and nongeographic factors to the gap, using decomposition methods and data for coronary heart disease. RESEARCH DESIGN: We identified white and black fee-for-service beneficiaries aged 65 or older who were hospitalized for acute myocardial infarction (AMI) or coronary artery bypass grafting (CABG) surgery during 2009-2011. We categorized hospitals with AMI mortality rates in the lowest quintile as high-quality hospitals. We first decomposed the white-black gap in high-quality hospital use into a component due to racial differences in region of residence and a within-region component. We then decomposed the within-region differences into contributions due to racial differences in geographic proximity to high-quality hospitals and due to nongeographic factors. RESULTS: The white-black gap in high-quality hospital use was smaller for AMI than for CABG (1.7 percentage points vs. 7.5 percentage points). For AMI, region of residence contributed more to the gap than within-region differences (1.0 percentage point vs. 0.6 percentage points), while for CABG, within-region differences prevailed (2.0 percentage points vs. 5.4 percentage points). For both conditions, the within-region white-black difference in high-quality hospital use was mainly driven by nongeographic factors. CONCLUSIONS: Decomposition methods are a useful tool in quantifying the contributions of various factors to the white-black gap in high-quality hospital use and could inform local policy aimed at reducing disparities in hospital quality.

Risk of Major Adverse Cardiovascular Events and Major Hemorrhage Among White and Black Patients Undergoing Percutaneous Coronary Intervention.

Background Data on racial disparities in major adverse cardiovascular events (MACE) and major hemorrhage (HEM) after percutaneous coronary intervention are limited. Factors contributing to these disparities are unknown. Methods and Results PRiME-GGAT (Pharmacogenomic Resource to Improve Medication Effectiveness-Genotype-Guided Antiplatelet Therapy) is a prospective cohort. Patients aged ≥18 years undergoing percutaneous coronary intervention were enrolled and followed for up to 1 year. Racial disparities in risk of MACE and HEM were assessed using an incident rate ratio. Sequential cumulative adjustment analyses were performed to identify factors contributing to these disparities. Data from 919 patients were included in the analysis. Compared with white patients, black patients (n=203; 22.1% of the cohort) were younger and were more likely to be female, to be a smoker, and to have higher body mass index, lower socioeconomic status, higher prevalence of diabetes mellitus and moderate to severe chronic kidney disease, and presentation with acute coronary syndrome and to undergo urgent percutaneous coronary intervention. The incident rates of MACE (34.1% versus 18.2% per 100 person-years, P<0.001) and HEM (17.7% versus 10.3% per 100 person-years, P=0.02) were higher in black patients. The incident rate ratio was 1.9 (95% CI, 1.3-2.6; P<0.001) for MACE and 1.7 (95% CI, 1.1-2. 7; P=0.02) for HEM. After adjustment for nonclinical and clinical factors, black race was not significantly associated with outcomes. Rather, differences in socioeconomic status, comorbidities, and coronary heart disease severity were attributed to racial disparities in outcomes. Conclusions Despite receiving similar treatment, racial disparities in MACE and HEM still exist. Opportunities exist to narrow these disparities by mitigating the identified contributors.

Measuring hospital-specific disparities by dual eligibility and race to reduce health inequities.

OBJECTIVE: To propose and evaluate a metric for quantifying hospital-specific disparities in health outcomes that can be used by patients and hospitals. DATA SOURCES/STUDY SETTING: Inpatient admissions for Medicare patients with acute myocardial infarction, heart failure, or pneumonia to all non-federal, short-term, acute care hospitals during 2012-2015. STUDY DESIGN: Building on the current Centers for Medicare and Medicaid Services methodology for calculating risk-standardized readmission rates, we developed models that include a hospital-specific random coefficient for either patient dual eligibility status or African American race. These coefficients quantify the difference in risk-standardized outcomes by dual eligibility and race at a given hospital after accounting for the hospital's patient case mix and proportion of dual eligible or African American patients. We demonstrate this approach and report variation and performance in hospital-specific disparities. PRINCIPAL FINDINGS: Dual eligibility and African American race were associated with higher readmission rates within hospitals for all three conditions. However, this disparity effect varied substantially across hospitals. CONCLUSION: Our models isolate a hospital-specific disparity effect and demonstrate variation in quality of care for different groups of patients across conditions and hospitals. Illuminating within-hospital disparities can incentivize hospitals to reduce inequities in health care quality.

Small-vessel PCI outcomes in men, women, and minorities following platinum chromium everolimus-eluting stents: Insights from the pooled PLATINUM Diversity and PROMUS Element Plus Post-Approval studies.

OBJECTIVE: We evaluated 1-year outcomes after platinum chromium everolimus-eluting stents (PtCr-EES) in small versus non-small coronary arteries within a large, diverse sample of men, women, and minorities. BACKGROUND: There exists limited outcomes data on the use of second-generation drug-eluting stent to treat small diameter coronary arteries. METHODS: We pooled patients from the PLATINUM Diversity and PROMUS Element Plus stent registries. Small-vessel percutaneous coronary intervention (SV-PCI) was defined as ≥1 target lesion with reference vessel diameter (RVD) ≤2.5 mm. Endpoints included major adverse cardiac event (MACE; death, myocardial infarction [MI] or target vessel revascularization [TVR]), target vessel failure (TVF; death related to the target vessel, target vessel MI or TVR) and definite/probable stent thrombosis (ST). Multivariable Cox regression was used to risk-adjust outcomes. RESULTS: We included 4,155/4,182 (99%) patients with available RVD, of which 1,607 (39%) underwent small-vessel PCI. SV-PCI was not associated with increased MACE (adjHR 1.02; 95%CI 0.81-1.30) or TVF (adjHR 1.07; 95%CI 0.82-1.39). MI risk was lower in white men compared to women and minorities, both in the setting of SV-PCI (adjHR 0.41; 95%CI 0.23-0.74 and adjHR 0.39; 95%CI 0.20-0.75, respectively) and for non-SV-PCI (adjHR 0.61; 95%CI 0.38-0.99 and adjHR 0.45; 95%CI 0.27-0.74, respectively). There was no significant interaction between RVD and sex or minority status for any endpoint. CONCLUSION: In a large diverse contemporary PCI outcomes database, SV-PCI with PtCr-EES was not associated with increased MACE or TVR and did not account for the increased MI risk noted in women and minorities compared to white men.

Use of Medicare Claims Data for the Identification of Myocardial Infarction: The Reasons for Geographic And Racial Differences in Stroke Study.

OBJECTIVES: Assess the validity of Medicare claims for identifying myocardial infarction (MI). METHODS: We used data from 9951 Medicare beneficiaries 65 years and above in the Reasons for Geographic And Racial Differences in Stroke study. Between 2003 and 2012, 669 participants had an MI identified and adjudicated through study procedures (ie, the gold standard), and 552 had an overnight inpatient claim with a code for MI (ICD-9 code 410.x0 or 410.x1) in any discharge diagnosis position. RESULTS: Using Medicare claims with a discharge diagnosis code for MI in any position, the positive predictive value (PPV) was 84.3% [95% confidence interval (CI), 80.9%-87.3%] and the sensitivity was 49.0% (95% CI, 44.9%-53.1%). Sensitivity was lower for men (45.8%) versus women (55.1%), microsize MIs (13.7%) versus other MIs (64.7%), type 2 (30.9%), and 4-5 MIs (11.1%) versus type 1 MIs (76.6%), and MIs occurring in-hospital (28.8%) versus out-of-hospital (66.7%). Using Medicare claims with a code for MI in the primary discharge diagnosis position, the PPV was 89.7% (95% CI, 86.3%-92.5%) and sensitivity was 40.1% (95% CI, 36.1%-44.2%). The sensitivity of claims with a code for MI in the primary discharge diagnosis position was lower for microsize versus other MIs, type 2 and 4-5 MIs versus type 1 MIs and MIs occurring in-hospital versus out-of-hospital. Hazard ratios for MI associated with participant characteristics were similar using adjudicated MIs identified through study procedures or claims for MI without further adjudication. CONCLUSIONS: Medicare claims have a high PPV but low sensitivity for identifying MI and can be used to investigate individual-level characteristics associated with MI.

Racial/ethnic disparities among Asian Americans in inpatient acute myocardial infarction mortality in the United States.

BACKGROUND: Acute myocardial infarction (AMI) is a common high-risk disease with inpatient mortality of 5% nationally. But little is known about this outcome among Asian Americans (Asians), a fast growing racial/ethnic minority in the country. The objectives of the study are to obtain near-national estimates of differences in AMI inpatient mortality between minorities (including Asians) and non-Hispanic Whites and identify comorbidities and sociodemographic characteristics associated with these differences. METHOD: This is a retrospective analysis of 2010-2011 state inpatient discharge data from 10 states with the largest share of Asian population. We identified hospitalization with a primary diagnosis of AMI using the ICD-9 code and used self-reported race/ethnicity to identify White, Black, Hispanic, and Asian. We performed descriptive analysis of sociodemographic characteristics, medical comorbidities, type of AMI, and receipt of cardiac procedures. Next, we examined overall inpatient AMI mortality rate based on patients' race/ethnicity. We also examined the types of AMI and a receipt of invasive cardiac procedures by race/ethnicity. Lastly, we used sequential multivariate logistic regression models to study inpatient mortality for each minority group compared to Whites, adjusting for covariates. RESULTS: Over 70% of the national Asian population resides in the 10 states. There were 496,472 hospitalizations with a primary diagnosis of AMI; 75% of all cases were Whites, 10% were Blacks, 12% were Hispanics, and 3% were Asians. Asians had a higher prevalence of cardiac comorbidities, including hypertension, diabetes, and kidney failure compared to Whites (p-value< 0.01). There were 158,623 STEMI (ST-elevation AMI), and the proportion of hospitalizations for STEMI was the highest for Asians (35.2% for Asians, 32.7% for Whites, 25.3% for Blacks, and 32.1% for Hispanics). Asians had the highest rates of inpatient AMI mortality: 7.2% for Asians, 6.3% for Whites, 5.4% for Blacks, and 5.9% for Hispanics (ANOVA p-value < 0.01). In adjusted analyses, Asians (OR = 1.11 [95% CI: 1.04-1.19]) and Hispanics (OR = 1.14 [1.09-1.19]) had a higher likelihood of inpatient mortality compared to Whites. CONCLUSIONS: Asians had a higher risk-adjusted likelihood of inpatient AMI mortality compared to Whites. Further research is needed to identify the underlying reasons for this finding to improve AMI disparities for Asians.

Weight gain after smoking cessation does not modify its protective effect on myocardial infarction and stroke: evidence from a cohort study of men.

Aims: This study aimed to investigate the association between smoking cessation, post-cessation body mass index (BMI) change and risk of myocardial infarction (MI) and stroke in men. Methods and results: A prospective cohort study using the National Health Insurance Service (NHIS) data set collected from 2002 to 2013 was implemented. Based on the first (2002-03) and second (2004-05) NHIS health check-up periods, 108 242 men aged over 40 years without previous diagnoses of MI or stroke were grouped into sustained smokers, quitters with BMI gain, quitters without BMI change, quitters with BMI loss, and non-smokers. Body mass index change was defined as the difference of more than 1.0 kg/m2 between the two health check-up periods. The participants were followed-up from 1 January 2006 to 31 December 2013. Hazard ratios (HRs) and 95% confidence intervals (HR, 95% CI) were computed using Cox proportional hazard models adjusted for sociodemographic, health status, and family health history. Compared to the sustained smokers, the risk of MI and stroke was significantly reduced in both quitters with BMI gain (HR 0.33; 95% CI 0.16-0.70 for MI and HR 0.75; 95% CI 0.57-1.00 for stroke) and without BMI change (HR 0.55; 95% CI 0.37-0.83 for MI and HR 0.75; 95% CI 0.62-0.92 for stroke), but no significant association was found in quitters with BMI loss (HR 0.91; 95% CI 0.43-1.91 for MI and HR 0.86; 95% CI 0.57-1.31 for stroke), respectively. Non-smokers had lower risk of MI (HR 0.37; 95% CI 0.32-0.43) and stroke (HR 0.68; 95% CI 0.64-0.73) compared to the sustained smokers. Conclusion: Post-cessation BMI change did not significantly modify the protective association of smoking cessation with MI and stroke.

Association of Racial and Socioeconomic Disparities With Outcomes Among Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, and Pneumonia: An Analysis of Within- and Between-Hospital Variation.

Importance: Although studies have described differences in hospital outcomes by patient race and socioeconomic status, it is not clear whether such disparities are driven by hospitals themselves or by broader systemic effects. Objective: To determine patterns of racial and socioeconomic disparities in outcomes within and between hospitals for patients with acute myocardial infarction, heart failure, and pneumonia. Design, Setting, and Participants: Retrospective cohort study initiated before February 2013, with additional analyses conducted during the peer-review process. Hospitals in the United States treating at least 25 Medicare fee-for-service beneficiaries aged 65 years or older in each race (ie, black and white) and neighborhood income level (ie, higher income and lower income) for acute myocardial infarction, heart failure, and pneumonia between 2009 and 2011 were included. Main Outcomes and Measures: For within-hospital analyses, risk-standardized mortality rates and risk-standardized readmission rates for race and neighborhood income subgroups were calculated at each hospital. The corresponding ratios using intraclass correlation coefficients were then compared. For between-hospital analyses, risk-standardized rates were assessed according to hospitals' proportion of patients in each subgroup. These analyses were performed for each of the 12 analysis cohorts reflecting the unique combinations of outcomes (mortality and readmission), demographics (race and neighborhood income), and conditions (acute myocardial infarction, heart failure, and pneumonia). Results: Between 74% (3545 of 4810) and 91% (4136 of 4554) of US hospitals lacked sufficient racial and socioeconomic diversity to be included in this analysis, with the number of hospitals eligible for analysis varying among cohorts. The 12 analysis cohorts ranged in size from 418 to 1265 hospitals and from 144 417 to 703 324 patients. Within included hospitals, risk-standardized mortality rates tended to be lower among black patients (mean [SD] difference between risk-standardized mortality rates in black patients compared with white patients for acute myocardial infarction, -0.57 [1.1] [P = .47]; for heart failure, -4.7 [1.3] [P < .001]; and for pneumonia, -1.0 [2.0] [P = .05]). However, risk-standardized readmission rates among black patients were higher (mean [SD] difference between risk-standardized readmission rates in black patients compared with white patients for acute myocardial infarction, 4.3 [1.4] [P < .001]; for heart failure, 2.8 [1.8] [P < .001], and for pneumonia, 3.7 [1.3] [P < .001]). Intraclass correlation coefficients ranged from 0.68 to 0.79, indicating that hospitals generally delivered consistent quality to patients of differing races. While the coefficients in the neighborhood income analysis were slightly lower (0.46-0.60), indicating some heterogeneity in within-hospital performance, differences in mortality rates and readmission rates between the 2 neighborhood income groups were small. There were no strong, consistent associations between risk-standardized outcomes for white or higher-income neighborhood patients and hospitals' proportion of black or lower-income neighborhood patients. Conclusions and Relevance: Hospital performance according to race and socioeconomic status was generally consistent within and between hospitals, even as there were overall differences in outcomes by race and neighborhood income. This finding indicates that disparities are likely to be systemic, rather than localized to particular hospitals.

Racial Disparities in Patient Characteristics and Survival After Acute Myocardial Infarction.

Importance: Black patients experience worse outcomes than white patients following acute myocardial infarction (AMI). Objective: To examine the degree to which nonrace characteristics explain observed survival differences between white patients and black patients following AMI. Design, Setting, and Participants: This cohort study used the extensive socioeconomic and clinical characteristics from patients recovering from an AMI that were prospectively collected at 31 hospitals across the contiguous United States between 2003 and 2008 for the Prospective Registry Evaluating Myocardial Infarction: Events and Recovery registry and the Translational Research Investigating Underlying Disparities in Acute Myocardial Infarction Patients' Health Status registry. Survival was assessed using data from the National Death Index. Data were analyzed from December 2016 to July 2018. Main Outcomes and Measures: Patient characteristics were categorized into 8 domains, and the degree to which each domain discriminated self-identified black patients from white patients was determined by calculating propensity scores associated with black race for each domain as well as cumulatively across all domains. The final propensity score was associated with 1- and 5-year mortality rates. Results: Among 6402 patients (mean [SD] age, 60 [13] years; 2127 [33.2%] female; 1648 [25.7%] black individuals), the 5-year mortality rate following AMI was 28.9% (476 of 1648) for black patients and 18.0% (856 of 4754) for white patients (hazard ratio, 1.72; 95% CI, 1.54-1.92; P < .001). Most categories of patient characteristics differed substantially between black patients and white patients. The cumulative propensity score discriminated race, with a C statistic of 0.89, and the propensity scores were associated with 1- and 5-year mortality rates (hazard ratio for the 75th percentile of the propensity score vs 25th percentile, 1.72; 95% CI, 1.43-2.08; P < .001). Patients in the lowest propensity score quintile associated with being a black individual (regardless of whether they were of white or black race) had a 5-year mortality rate of 15.5%, while those in the highest quintile had a 5-year mortality rate of 31.0% (P < .001). After adjusting for the propensity associated with being a black patient, there was no significant mortality rate difference by race (adjusted hazard ratio, 1.09; 95% CI, 0.93-1.26; P = .37) and no statistical interaction between race and propensity score (P = .42). Conclusions and Relevance: Characteristics of black patients and white patients differed significantly at the time of admission for AMI. Those characteristics were associated with an approximately 3-fold difference in 5-year mortality rate following AMI and mediated most of the observed mortality rate difference between the races.

Ethnic inequalities in acute myocardial infarction hospitalization rates among young and middle-aged adults in Northern Italy: high risk for South Asians.

The knowledge of ethnic-specific health needs is now essential to design effective health services and population-based prevention strategies. However, data on migrant populations living in Southern Europe are limited. The study is designed to investigate ethnic inequalities in hospitalization for acute myocardial infarction (AMI) in the Veneto region (Italy). Hospital admissions for AMI in Veneto for the whole resident population aged 20-59 years during 2008-2013 were studied. Age and gender-specific AMI hospitalization rates for immigrant groups (classified by country of origin according to the United Nations geoscheme) and Italians were calculated. The indirect standardization method was used to estimate standardized hospitalization ratios (SHR) for each immigrant group, with rates of Italian residents as a reference. Overall, 8200 AMI events were retrieved, 648 among immigrants. The highest risk of AMI is seen in South Asians males (SHR 4.2, 95% CI 3.6-4.9) and females (SHR 2.5, 95% CI 1.4-4.5). AMI rates in South Asian males sharply increase in the 30-39 years age class. Other immigrant subgroups (Eastern Europe, North Africa, Sub-Saharan Africa, other Asian countries, Central-South America, high-income countries) displayed age- and gender-adjusted hospitalization rates similar to the native population. Present findings stress the urgent need for implementation of ethnic-specific health policies in Italy. The awareness about the high cardiovascular risk in subjects from South Asia must be increased among general practitioners and immigrant communities.

Changes in Statin Adherence Following an Acute Myocardial Infarction Among Older Adults: Patient Predictors and the Association With Follow-Up With Primary Care Providers and/or Cardiologists.

BACKGROUND: Hospitalizations for acute myocardial infarctions (AMIs) are associated with changes in statin adherence. It is unclear to what extent adherence changes, which patients are likely to change, and how post-discharge follow-up is associated with statin adherence change. METHODS AND RESULTS: This retrospective study used Medicare data for all fee-for-service beneficiaries 66 years and older with an AMI hospitalization in 2008-2010 and statin use before their index AMI. Multivariable multinomial logistic regression models (odds ratio [OR] and 99% confidence interval [CI]) were applied to assess associations between both patient characteristics and follow-up with a primary care provider and/or cardiologist with the outcome of statin adherence change (increase or decrease) from the 6-month pre- to 6-month post-AMI periods. Of 113 296 patients, 64.0% had no change in adherence, while 19.7% had increased and 16.3% had decreased adherence after AMI hospitalization. Black and Hispanic patients were more likely to have either increased or decreased adherence than white patients. Patients who required coronary artery bypass graft surgery (OR, 1.34; 99% CI, 1.21-1.49) or percutaneous transluminal coronary angioplasty/stent procedure (OR, 1.25; 99% CI, 1.17-1.32) during their index hospitalization were more likely to have increased adherence. Follow-up with a primary care provider was only mildly associated with increased adherence (OR, 1.08; 99% CI, 1.00-1.16), while follow-up with a cardiologist (OR, 1.15; 99% CI, 1.05-1.25) or both provider types (OR, 1.21; 99% CI, 1.12-1.30) had stronger associations with increased adherence. CONCLUSIONS: Post-AMI changes in statin adherence varied by patient characteristics, and improved adherence was associated with post-discharge follow-up care, particularly with a cardiologist or both a primary care provider and a cardiologist.

Cardiovascular Disease Burden and Socioeconomic Correlates: Findings From the Jackson Heart Study.

BACKGROUND: Black persons have an excess burden of cardiovascular disease (CVD) compared with white persons. This burden persists after adjustment for socioeconomic status and other known CVD risk factors. This study evaluated the CVD burden and the socioeconomic gradient of CVD among black participants in the JHS (Jackson Heart Study). METHODS AND RESULTS: CVD burden was evaluated by comparing the observed prevalence of myocardial infarction, stroke, and hypertension in the JHS at baseline (2000-2004) with the expected prevalence according to US national surveys during a similar time period. The socioeconomic gradient of CVD was evaluated using logistic regression models. Compared with the national data, the JHS age- and sex-standardized prevalence ratios for myocardial infarction, stroke, and hypertension were 1.07 (95% CI, 0.90-1.27), 1.46 (95% CI, 1.18-1.78), and 1.51 (95% CI, 1.42-1.60), respectively, in men and 1.50 (95% CI, 1.27-1.76), 1.33 (95% CI, 1.12-1.57), and 1.43 (95% CI, 1.37-1.50), respectively, in women. A significant and inverse relationship was observed between socioeconomic status and CVD within the JHS cohort. The strongest and most consistent socioeconomic correlate after adjusting for age and sex was income for myocardial infarction (odds ratio: 3.53; 95% CI, 2.31-5.40) and stroke (odds ratio: 3.73; 95% CI, 2.32-5.97), comparing the poor and affluent income categories. CONCLUSIONS: Except for myocardial infarction in men, CVD burden in the JHS cohort was higher than expected. A strong inverse socioeconomic gradient of CVD was also observed within the JHS cohort.

Effect of charted mental illness on reperfusion therapy in hospitalized patients with an acute myocardial infarction in Florida.

Patients with mental illness carry risk factors that predispose them to excess cardiovascular mortality from an acute myocardial infarction (AMI) compared to the general population. The aim of this study was to determine if patients with AMI and charted mental illness (CMI) received less reperfusion therapy following an AMI, compared to AMI patients without CMI in a recent sample population from Florida.A secondary analysis of data was conducted using the Florida Agency for Health Care Administration (FL-AHCA) hospital discharge registry. Adults hospitalized with an AMI from 01/01/2010 to 12/31/2015 were included for the analysis. The dependent variable was administration of reperfusion therapy (thrombolytic, percutaneous coronary intervention [PCI], and coronary artery bypass graft [CABG]), and the independent variable was the presence of CMI (depression, schizophrenia, and bipolar disorder). Multivariate logistic regression models were used to test the association controlling for age, gender, ethnicity, race, health insurance, and comorbidities.The database included 61,614 adults (31.3% women) hospitalized with AMI in Florida. The CMI population comprised of 1036 patients (1.7%) who were on average 5 years younger than non-CMI (60.2 ±12.8 versus 65.2 ±14.1; P < .001). Compared with patients without CMI, patients with CMI had higher proportions of women, governmental health insurance holders, and those with more comorbidities. The adjusted odds ratio indicated that patients with CMI were 30% less likely to receive reperfusion therapy compared with those without CMI (OR = 0.7; 95% CI = 0.6-0.8). Within the AMI population including those with and without CMI, women were 23% less likely to receive therapy than men; blacks were 26% less likely to receive reperfusion therapy than whites; and those holding government health insurances were between 20% and 40% less likely to receive reperfusion therapy than those with private health insurance.Patients with AMI and CMI were statistically significantly less likely to receive reperfusion therapy compared with patients without CMI. These findings highlight the need to implement AMI management care aimed to reduce disparities among medically vulnerable patients (those with CMI, women, blacks, and those with governmental health insurance).

Race/Ethnicity and Cardiovascular Events Among Patients With Systemic Lupus Erythematosus.

OBJECTIVE: Systemic lupus erythematosus (SLE) is more prevalent and results in more severe outcomes among blacks, Asians, and Hispanics than among whites. Cardiovascular disease (CVD) is the leading cause of death among SLE patients. We undertook this study to examine racial/ethnic variations in risk of CVD events among SLE patients. METHODS: Within the Medicaid Analytic eXtract from 2000 to 2010, we identified patients ages 18-65 years with SLE (≥3 International Classification of Diseases, Ninth Revision 710.0 codes, ≥30 days apart) and with ≥12 months of continuous enrollment. Subjects were followed up from the index date to the first CVD event (myocardial infarction [MI] or stroke), death, disenrollment, loss to follow-up, or end of follow-up period. Race/ethnicity-specific annual CVD event rates were calculated. Cox regression models estimated hazard ratios (HRs) with 95% confidence intervals (95% CIs), accounting for competing risk of death and adjusting for baseline demographics and comorbidities. RESULTS: Of 65,788 SLE patients, 93.1% were women and ∼42% were black, 38% were white, 16% were Hispanic, 3% were Asian, and 1% were American Indian/Alaska Native. Mean ± SD follow-up was 3.8 ± 3.1 years. CVD event rates were highest among blacks (incidence rate [IR] 10.57 [95% CI 9.96-11.22]) and lowest among Asians (IR 6.63 [95% CI 4.97-8.85]). After multivariable adjustment, risk of CVD events was increased among blacks (HR 1.14 [95% CI 1.03-1.26]) compared to whites. Hispanics and Asians had a lower risk of MI (HR 0.61 [95% CI 0.48-0.77] and HR 0.57 [95% CI 0.34-0.96], respectively), while blacks and Hispanics had a higher risk of stroke (HR 1.31 [95% CI 1.15-1.49] and HR 1.22 [95% CI 1.03-1.44], respectively). CONCLUSION: Among SLE patients enrolled in Medicaid, the risk of MI was lower among Hispanics and Asians compared to whites, while the risk of stroke was elevated among blacks and Hispanics compared to whites.

Racial and Ethnic Differences in Acute Coronary Syndrome and Myocardial Infarction Within the United States: From Demographics to Outcomes.

In the United States, different races, ethnicities, and their subgroups experience disparities regarding acute coronary syndrome (ACS) and myocardial infarction (MI). This review highlights these differences across 4 stages that comprise the ACS/MI narrative: (1) patient demographics, (2) patient comorbidities and health risks, (3) treatments and their delays, and (4) outcomes. Overall, black and Hispanic ACS/MI patients are more likely to present with comorbidities, experience longer delays before treatment, and suffer worse outcomes when compared with non-Hispanic white patients. More specifically, across the studies analyzed, black and Hispanic ACS/MI patients were consistently more likely to be younger or female, or to have hypertension or diabetes, than non-Hispanic white patients. ACS/MI disparities also exist among Asian populations, and these are briefly outlined. However, black, Hispanic, and non-Hispanic white ACS/MI patients were the 3 most-studied racial and ethnic groups, indicating that additional studies of other minority groups, such as Native Americans, Asian populations, and black and Hispanic subgroups, are needed for their utility in reducing disparities. Despite notable improvement in ACS/MI treatment quality measures over recent decades, disparities persist. Causes are complex and extend beyond the healthcare system to culture and patients' personal characteristics; sophisticated solutions will be required. Continued research has the potential to further reduce or eliminate disparities in the comorbidities, delays, and treatments surrounding ACS and MI, extending healthy lifespans of many underserved and minority populations, while reducing healthcare costs.

APOL1 Genotype, Kidney and Cardiovascular Disease, and Death in Older Adults.

OBJECTIVE: We sought to evaluate the cardiovascular impact of coding variants in the apolipoprotein L1 gene APOL1 that protect against trypanosome infection but have been associated with kidney disease among African Americans. APPROACH AND RESULTS: As part of the Cardiovascular Health Study, a population-based cohort of Americans aged ≥65 years, we genotyped APOL1 polymorphisms rs73885319 and rs71785153 and examined kidney function, subclinical atherosclerosis, and incident cardiovascular disease and death over 13 years of follow-up among 91 African Americans with 2 risk alleles, 707 other African Americans, and 4964 white participants. The high-risk genotype with 2 risk alleles was associated with 2-fold higher levels of albuminuria and lower ankle-brachial indices but similar carotid intima-media thickness among African Americans. Median survival among high-risk African Americans was 9.9 years (95% confidence interval [CI], 8.7-11.9), compared with 13.6 years (95% CI, 12.5-14.3) among other African Americans and 13.3 years (95% CI, 13.0-13.6) among whites (P=0.03). The high-risk genotype was also associated with increased risk for incident myocardial infarction (adjusted hazard ratio 1.8; 95% CI, 1.1-3.0) and mortality (adjusted hazard ratio 1.3; 95% CI 1.0-1.7). Albuminuria and risk for myocardial infarction and mortality were nearly identical between African Americans with 0 to 1 risk alleles and whites. CONCLUSIONS: APOL1 genotype is associated with albuminuria, subclinical atherosclerosis, incident myocardial infarction, and mortality in older African Americans. African Americans without 2 risk alleles do not differ significantly in risk of myocardial infarction or mortality from whites. APOL1 trypanolytic variants may account for a substantial proportion of the excess risk of chronic disease in African Americans.