Sex and Race/Ethnicity–Related Disparities in Care and Outcomes After Hospitalization for Coronary Artery Disease Among Older Adults

The Influence of Sex, Age, and Race on Coronary Artery Disease: A Narrative Review

Cardiovascular disease has remained one of the leading causes of mortality in the world. The basic pathophysiology of coronary artery disease (CAD) is a reduction of the blood flow in coronary vessels, leading to restricted blood flow to the heart muscle. Both modifiable and non-modifiable risk factors contribute to its multifactorial etiology. The clinical presentation ranges from asymptomatic to typical symptoms like chest pain, shortness of breath, and left arm or jaw pain. The purpose of this review is to investigate and analyze the variation of CAD depending on the biological sex, age, race, or ethnicity and how it might differ in the studied population while comparing the symptoms and prognosis of CAD. For this research, PubMed's database was used. A total of 926 articles were selected using pre-determined inclusion and exclusion criteria, with 74 articles eligible to be included in the narrative review. Studies were selected from the general population of patients with CAD, regardless of their severity, stage of diagnosis, and treatment plan. The scale for the assessment of non-systematic review articles (SANRA) was used to assess the quality of the study. As humans age, the incidence of CAD increases, and people over 75 are more likely to have multiple-vessel CAD. It has been observed that South Asians have the highest rate of CAD at 24%, while the White population has the lowest at 8%. The prevalence of CAD also depends on race, with the White population having the lowest rate at 3.2%, followed by Hispanics at 5%, Black women at 5.2%, and Black men at 5.7%. Younger Black women tend to have more chest pain. Men with CAD commonly experience chest pain, and women are more likely to present with atypical symptoms. Modifiable risk factors such as smoking and alcoholism are more commonly observed in young men than in young women. Coronary artery disease in the elderly, female, minority, and Black patients is associated with a higher mortality rate. Acknowledging the prevalence of certain risk factors, signs, results, and responses to treatment in certain socio-demographic groups, as well as the provision and accessibility of diagnosis and treatment, would lead to a better outcome for all individuals. The impact of this shift can range from an earlier diagnosis of CAD to a faster and more customized treatment plan tailored to each patient's individual requirements.

Racial/ethnic differences persist in treatment choice and outcomes in isolated intervention for coronary artery disease

OBJECTIVE

Studies have noted racial/ethnic disparities in coronary artery disease intervention strategies. We investigated trends and outcomes of coronary artery disease treatment choice (coronary artery bypass grafting or percutaneous coronary intervention) stratified by race/ethnicity.

METHODS

We queried the National Inpatient Sample for patients who underwent isolated coronary artery bypass grafting or percutaneous coronary intervention (2002-2017). Outcomes were stratified by race/ethnicity (White, African American, Hispanic, Asian). Multivariable logistic regression evaluated associations between race/ethnicity and receiving coronary artery bypass grafting versus percutaneous coronary intervention, in-hospital mortality, and costs.

RESULTS

Over the 15-year period, 2,426,917 isolated coronary artery bypass grafting surgeries and 7,184,515 percutaneous coronary interventions were performed. Compared with White patients, African American patients were younger (62 [interquartile range, 53-70] vs 66 [interquartile range, 57-75] years), were more likely to have Medicaid insurance (12.2% vs 4.4%), and had more comorbidities (Charlson-Deyo index, 1.9 ± 1.6 vs 1.7 ± 1.6) (all P < .01). After adjustment for patient comorbidities, presence of acute myocardial infarction, insurance status, and geography, African Americans were the least likely of all racial/ethnic groups to undergo coronary artery bypass grafting (odds ratio, 0.76; P < .01), a consistent trend throughout the study. African American patients had higher risk-adjusted mortality after coronary artery bypass grafting (odds ratio, 1.09; P < .01). Race/ethnicity was not associated with increased mortality after percutaneous coronary intervention. African American patients had higher hospitalization costs for coronary artery bypass grafting (+$5816; P < .01) and percutaneous coronary intervention (+$856; P < .01) after controlling for confounders.

CONCLUSIONS

In this contemporary national analysis, risk-adjusted frequency of coronary artery bypass grafting versus percutaneous coronary intervention for coronary artery disease differed by race/ethnicity. African American patients had lower odds of undergoing coronary artery bypass grafting and worse outcomes. Reasons for these differences merit further investigation to identify opportunities to reduce potential disparities.

Locking the Revolving Door: Racial Disparities in Cardiovascular Disease

Racial disparities in cardiovascular disease are unjust, systematic, and preventable. Social determinants are a primary cause of health disparities, and these include factors such as structural and overt racism. Despite a number of efforts implemented over the past several decades, disparities in cardiovascular disease care and outcomes persist, pervading more the outpatient rather than the inpatient setting, thus putting racial and ethnic minority groups at risk for hospital readmissions. In this article, we discuss differences in care and outcomes of racial and ethnic minority groups in both of these settings through a review of registries. Furthermore, we explore potential factors that connote a revolving door phenomenon for those whose adverse outpatient environment puts them at risk for hospital readmissions. Additionally, we review promising strategies, as well as actionable items at the policy, clinical, and educational levels aimed at locking this revolving door.

Cluster Analysis of the Highest Users of Medical, Behavioral Health, and Social Services in San Francisco

BACKGROUND

In the City and County of San Francisco, frequent users of emergent and urgent services across different settings (i.e., medical, mental health (MH), substance use disorder (SUD) services) are referred to as high users of multiple systems (HUMS). While often grouped together, frequent users of the health care system are likely a heterogenous population composed of subgroups with differential management needs.

OBJECTIVE

To identify subgroups within this HUMS population using a cluster analysis.

DESIGN

Cross-sectional study of HUMS patients for the 2019-2020 fiscal year using the Coordinated Care Management System (CCMS), San Francisco Department of Public Health's integrated data system.

PARTICIPANTS

We calculated use scores based on nine types of urgent and emergent medical, MH, and SUD services and identified the top 5% of HUMS patients. Through k-medoids cluster analysis, we identified subgroups of HUMS patients.

MAIN MEASURES

Subgroup-specific demographic, comorbidity, and service use profiles.

KEY RESULTS

The top 5% of HUMS patients in the study period included 2657 individuals; 69.7% identified as men and 66.5% identified as non-White. We detected 5 subgroups: subgroup 1 (N = 298, 11.2%) who were relatively younger with prevalent MH and SUD comorbidities, and MH services use; subgroup 2 (N = 478, 18.0%), who were experiencing homelessness, with multiple comorbidities, and frequent use of medical services; subgroup 3 (N = 449, 16.9%), who disproportionately self-identified as Black, with prolonged homelessness, multiple comorbidities, and persistent HUMS status; subgroup 4 (N = 690, 26.0%), who were relatively older, disproportionately self-identified as Black, with prior homelessness, multiple comorbidities, and frequent use of medical services; and subgroup 5 (N=742, 27.9%), who disproportionately self-identified as Latinx, were housed, with medical comorbidities and frequent medical service use.

CONCLUSIONS

Our study highlights the heterogeneity of HUMS patients. Interventions must be tailored to meet the needs of these diverse patient subgroups.

Factors associated with racial differences in all-cause 30-day readmission in adults with cardiovascular disease: an observational study of a large healthcare system

OBJECTIVE

To examine factors contributing to racial differences in 30-day readmission in patients with cardiovascular disease (CVD).

DESIGN

Patients were enrolled from 1 January 2015 to 31 August 2017 and data were collected from electronic health records and a standardised interview administered prior to discharge.

SETTING

Duke Heart Center in the Duke University Health System.

PARTICIPANTS

Patients aged 18 and older admitted for the treatment of cardiovascular-related conditions (n=734).

MAIN OUTCOME AND MEASURES

All-cause readmission within 30 days was the main outcome. Multivariate logistic regression models were used to examine whether and to what extent socioeconomic, psychosocial, behavioural and healthcare-related factors contributed to 30-day readmissions in Black and White CVD patients.

RESULTS

The median age of patients was 66 years and 18.1% (n=133) were readmitted within 30 days after discharge. Black patients were more likely than White patients to be readmitted (OR 1.62; 95% CI 1.18 to 2.23) and the racial difference in readmissions was largely reduced after taking into account differences in a wide range of clinical and non-clinical factors (OR 1.37; 95% CI 0.98 to 1.91). In Black patients, readmission risks were especially high in those who were retired (OR 3.71; 95% CI 1.71 to 8.07), never married (OR 2.21; 95% CI 1.21 to 4.05), had difficulty accessing their routine care (OR 2.88; 95% CI 1.70 to 4.88) or had been hospitalised in the prior year (OR 1.97; 95% CI 1.16 to 3.37). In White patients, being widowed (OR 2.39; 95% CI 1.41 to 4.07) and reporting a higher number of depressive symptoms (OR 1.07; 95% CI 1.00 to 1.13) were the key factors associated with higher risks of readmission.

CONCLUSIONS AND RELEVANCE

Black patients were more likely than White patients to be readmitted within 30 days after hospitalisation for CVD. The factors contributing to readmission differed by race and offer important clues for identifying patients at high risk of readmission and tailoring interventions to reduce these risks.

The Association of Sex with Unplanned Cardiac Readmissions following Percutaneous Coronary Intervention in Australia: Results from a Multicentre Outcomes Registry (GenesisCare Cardiovascular Outcomes Registry)

Background and aim: Unplanned cardiac readmissions in patients with percutaneous intervention (PCI) is very common and is seen as a quality indicator of in-hospital care. Most studies have reported on the 30-day cardiac readmission rates, with very limited information being available on 1-year readmission rates and their association with mortality. The aim of this study was to investigate the impact of biological sex at 1-year post-PCI on unplanned cardiac readmissions. Methods and results: Patients enrolled into the GenesisCare Cardiovascular Outcomes Registry (GCOR-PCI) from December 2008 to December 2020 were included in the study. A total of 13,996 patients completed 12 months of follow-up and were assessed for unplanned cardiac readmissions. All patients with unplanned cardiac readmissions in the first year of post-PCI were followed in year 2 (post-PCI) for survival status. The rate of unplanned cardiac readmissions was 10.1%. Women had a 29% higher risk of unplanned cardiac readmission (HR 1.29, 95% CI 1.11 to 1.48; p = 0.001), and female sex was identified as an independent predictor of unplanned cardiac readmissions. Any unplanned cardiac readmission in the first year was associated with a 2.5-fold higher risk of mortality (HR 2.50, 95% CI 1.67 to 3.75; p < 0.001), which was similar for men and women. Conclusion: Unplanned cardiac readmissions in the first year post-PCI was strongly associated with increased all-cause mortality. Whilst the incidence of all-cause mortality was similar between women and men, a higher incidence of unplanned cardiac readmissions was observed for women, suggesting distinct predictors of unplanned cardiac readmissions exist between women and men.

Interaction Between Race and Income on Cardiac Outcomes After Percutaneous Coronary Intervention

Background

Compared with White Americans, Black Americans have a greater prevalence of cardiac events following percutaneous coronary intervention. We evaluated the association between race and neighborhood income on post–percutaneous coronary intervention cardiac events and assessed whether income modifies the effect of race on this relationship.

Methods and Results

Consecutive patients (n=23 822) treated with percutaneous coronary intervention from January 1, 2000, to December 31, 2016, were included. All‐cause mortality and major adverse cardiac event were assessed at 3 years. Extended 10‐year follow‐up was performed for those residing locally (n=1285). Neighborhood income was derived using median adjusted annual gross household income reported within the patient's zip code. We compared differences in treatment and outcomes, adjusting for race, income, and their interaction. In total, 3173 (13.3%) patients self‐identified as Black Americans, and 20 649 (86.7%) self‐identified as White Americans. Black Americans had a worse baseline cardiac risk profile and lower neighborhood income compared with White Americans. Although risk profile improved with increasing income in White Americans, no difference was observed across incomes among Black Americans. Despite similar long‐term outpatient cardiology follow‐up and medication prescription, risk profiles among Black Americans remained worse. At 3 years, unadjusted all‐cause mortality (18.0% versus 15.2%; P <0.001) and major adverse cardiac event (37.3% versus 34.6%; P <0.001) were greater among Black Americans and with lower income (both P <0.001); race, income, and their interaction were not significant predictors in multivariable models. At 10‐year follow‐up, increasing income was associated with improved outcomes only in White Americans but not Black Americans. In multivariable models for major adverse cardiac event, income (hazard ratio [HR], 0.97 [95% CI, 0.96–0.98]; P =0.005), Black race (HR, 1.77 [95% CI, 1.58–1.96]; P =0.006), and their interaction (HR, 0.98 [95% CI, 0.97–0.99]; P =0.003) were significant predictors. Similar findings were observed for cardiac death.

Conclusions

Early 3‐year post–percutaneous coronary intervention outcomes were driven by worse risk factor profiles in both Black Americans and those with lower neighborhood income. However, late 10‐year outcomes showed an independent effect of race and income, with improving outcomes with greater income limited to White Americans. These findings illustrate the importance of developing novel care strategies that address both risk factor modification and social determinants of health to mitigate disparities in cardiac outcomes.

Differences in incident and recurrent myocardial infarction among White and Black individuals aged 35 to 84: Findings from the ARIC community surveillance study

BACKGROUND

No previous study has examined racial differences in recurrent acute myocardial infarction (AMI) in a community population. We aimed to examine racial differences in recurrent AMI risk, along with first AMI risk in a community population.

METHODS

The community surveillance of the Atherosclerosis Risk in Communities Study (2005-2014) included 470,000 people 35 to 84 years old in 4 U.S. communities. Hospitalizations for recurrent and first AMI were identified from ICD-9-CM discharge codes. Poisson regression models were used to compare recurrent and first AMI risk ratios between Black and White residents.

RESULTS

Recurrent and first AMI risk per 1,000 persons were 8.8 (95% CI, 8.3-9.2) and 20.7 (95% CI, 20.0-21.4) in Black men, 6.8 (95% CI, 6.5-7.0) and 14.1 (95% CI, 13.8-14.5) in White men, 5.3 (95% CI, 5.0-5.7) and 16.2 (95% CI, 15.6-16.8) in Black women, and 3.1 (95% CI, 3.0-3.3) and 8.8 (95% CI, 8.6-9.0) in White women, respectively. The age-adjusted risk ratios (RR) of recurrent AMI were higher in Black men vs White men (RR, 1.58 95% CI, 1.30-1.92) and Black women vs White women (RR, 2.09 95% CI, 1.64-2.66). The corresponding RRs were slightly lower for first AMI: Black men vs White men, RR, 1.49 (95% CI, 1.30-1.71) and Black women vs White women, RR, 1.65 (95% CI, 1.42-1.92) CONCLUSIONS: Large disparities exist by race for recurrent AMI risk in the community. The magnitude of disparities is stronger for recurrent events than for first events, and particularly among women.

Socioeconomic Factors and their Impact on Access and Use of Coronary and Structural Interventions

In the past few decades, the accelerated improvement in technology has allowed the development of new and effective coronary and structural heart disease interventions. There has been inequitable patient access to these advanced therapies and significant disparities have affected patients from low socioeconomic positions. In the US, these disparities mostly affect women, black and hispanic communities who are overrepresented in low socioeconomic. Other adverse social determinants of health influenced by structural racism have also contributed to these disparities. In this article, we review the literature on disparities in access and use of coronary and structural interventions; delineate the possible reasons underlying these disparities; and highlight potential solutions at the government, healthcare system, community and individual levels.

Racial and ethnic differences in pharmacotherapy to prevent coronary artery disease and thrombotic events

Awareness of racial/ethnic disparities represents a key challenge for healthcare systems that attempt to provide effective healthcare and to reduce existing inequalities in the use of and adherence to guideline-recommended cardiovascular drugs to improve clinical outcomes for cardiovascular disease (CVD). In this review, we describe important racial/ethnic differences between and within ethnic groups in the prevalence, risk factors, haemostatic factors, anti-inflammatory and endothelial markers, recurrence, and outcomes of CVD.

We discuss important differences in the selection, doses, and response [efficacy and adverse drug reactions (ADRs)] in ethnically diverse patients treated with antithrombotics or lipid-lowering drugs. Differences in drug response are mainly related to racial/ethnic differences in the frequency of polymorphisms in genes encoding drug-metabolizing enzymes (DMEs) and drug transporters. These polymorphisms markedly influence the pharmacokinetics, dose requirements, and safety of warfarin, clopidogrel, and statins. This review aims to support a better understanding of the genetic differences between and among populations to identify patients who may experience an ADR or a lack of drug response, thus optimizing therapy and improving outcomes. The greater the understanding of the differences in the genetic variants of DMEs and transporters that determine the differences in the exposure, efficacy, and safety of cardiovascular drugs between races/ethnicities, the greater the probability that personalized medicine will become a reality.

A proposal for developing a platform that evaluates algorithmic equity and accuracy

We are at a pivotal moment in the development of healthcare artificial intelligence (AI), a point at which enthusiasm for machine learning has not caught up with the scientific evidence to support the equity and accuracy of diagnostic and therapeutic algorithms. This proposal examines algorithmic biases, including those related to race, gender and socioeconomic status, and accuracy, including the paucity of prospective studies and lack of multisite validation. We then suggest solutions to these problems. We describe the Mayo Clinic, Duke University, Change Healthcare project that is evaluating 35.1 billion healthcare records for bias. And we propose ‘Ingredients’ style labels and an AI evaluation/testing system to help clinicians judge the merits of products and services that include algorithms. Said testing would include input data sources and types, dataset population composition, algorithm validation techniques, bias assessment evaluation and performance metrics.

In medicine, how do we machine learn anything real?

Machine learning has traditionally operated in a space where data and labels are assumed to be anchored in objective truths. Unfortunately, much evidence suggests that the “embodied” data acquired from and about human bodies does not create systems that function as desired. The complexity of health care data can be linked to a long history of discrimination, and research in this space forbids naive applications. To improve health care, machine learning models must strive to recognize, reduce, or remove such biases from the start. We aim to enumerate many examples to demonstrate the depth and breadth of biases that exist and that have been present throughout the history of medicine. We hope that outrage over algorithms automating biases will lead to changes in the underlying practices that generated such data, leading to reduced health disparities.

Evidence indicates that data acquired from and about human bodies in medicine and health do not always create equitable systems. Bias is pervasive in clinical devices, interventions, and interactions. These include devices that are designed without regard for sex, gender, and skin color; interventions that embed race; disease diagnoses that hinge on gender or ethnicity; and biased interactions between patients and health workers. Data from these systems when used in machine learning algorithms will promote or exacerbate these biases. Often there is a lack of education in computer science about the systemic impact of gender discrimination, racism, and socioeconomic inequalities on data used in developing machine learning algorithms for health. The solutions to addressing these engrained biases are not easy and require intentional efforts by those who develop algorithms and those who use algorithms including, computer scientists, engineers, clinicians, healthcare institutions, and others. However, these solutions cannot exist without education about the historical injustices against marginalized groups, a refusal to accept inequities as the norm, and shouldering the responsibility to create and apply algorithms that reduce rather than promote inequity.

Sex differences in treatment strategy and adverse outcomes among patients 75 and older with atrial fibrillation in the MarketScan database

BACKGROUND

Women with atrial fibrillation (AF) experience greater symptomatology, worse quality of life, and have a higher risk of stroke as compared to men, but are less likely to receive rhythm control treatment. Whether these differences exist in elderly patients with AF, and whether sex modifies the effectiveness of rhythm versus rate control therapy has not been assessed.

METHODS

We studied 135,850 men and 139,767 women aged ≥ 75 years diagnosed with AF in the MarketScan Medicare database between 2007 and 2015. Anticoagulant use was defined as use of warfarin or a direct oral anticoagulant. Rate control was defined as use of rate control medication or atrioventricular node ablation. Rhythm control was defined by use of anti-arrhythmic medication, catheter ablation or cardioversion. We used multivariable Poisson and Cox regression models to estimate the association of sex with treatment strategy and to determine whether the association of treatment strategy with adverse outcomes (bleeding, heart failure and stroke) differed by sex.

RESULTS

At the time of AF, women were on average (SD) 83.8 (5.6) years old and men 82.5 (5.2) years, respectively. Compared to men, women were less likely to receive an anticoagulant or rhythm control treatment. Rhythm control (vs. rate) was associated with a greater risk for heart failure with a significantly stronger association in women (HR women = 1.41, 95% CI 1.34-1.49; HR men = 1.21, 95% CI 1.15-1.28, p < 0.0001 for interaction). No sex differences were observed for the association of treatment strategy with the risk of bleeding or stroke.

CONCLUSION

Sex differences exist in the treatment of AF among patients aged 75 years and older. Women are less likely to receive an anticoagulant and rhythm control treatment. Women were also at a greater risk of experiencing heart failure as compared to men, when treated with rhythm control strategies for AF. Efforts are needed to enhance use AF therapies among women. Future studies will need to delve into the mechanisms underlying these differences.

Economics of implementing an early deterioration detection solution for general care patients at a US hospital

Aim: This study estimates the costs and outcomes pre- versus post-implementation of an early deterioration detection solution (EDDS), which assists in identifying patients at risk of clinical decline. Materials & methods: A retrospective database analysis was conducted to assess average costs per discharge, length of stay (LOS), complications, in-hospital mortality and 30-day all-cause re-admissions pre- versus post-implementation of an EDDS. Results: Average costs per discharge were significantly reduced by 18% (US$16,201 vs $13,304; p = 0.007). Average LOS was also significantly reduced (6 vs 5 days; p = 0.033), driven by a reduction in general care LOS of 1 day (p = 0.042). Complications, in-hospital mortality and 30-day all-cause re-admissions were similar. Conclusion: Costs and LOS were lower after implementation of an EDDS for general care patients.

Race and Ethnicity Considerations in Patients With Coronary Artery Disease and Stroke: JACC Focus Seminar 3/9

Notable racial and ethnic differences and disparities exist in coronary artery disease (CAD) and stroke epidemiology and outcomes despite substantial advances in these fields. Racial and ethnic minority subgroups remain underrepresented in population data and clinical trials contributing to incomplete understanding of these disparities. Differences in traditional cardiovascular risk factors such as hypertension and diabetes play a role; however, disparities in care provision and process, social determinants of health including socioeconomic position, neighborhood environment, sociocultural factors, and racial discrimination within and outside of the health care system also drive racial and ethnic CAD and stroke disparities. Improved culturally congruent and competent communication about risk factors and symptoms is also needed. Opportunities to achieve improved and equitable outcomes in CAD and stroke must be identified and pursued.

An Iterative and Collaborative End-to-End Methodology Applied to Digital Mental Health

Artificial intelligence (AI) algorithms together with advances in data storage have recently made it possible to better characterize, predict, prevent, and treat a range of psychiatric illnesses. Amid the rapidly growing number of biological devices and the exponential accumulation of data in the mental health sector, the upcoming years are facing a need to homogenize research and development processes in academia as well as in the private sector and to centralize data into federalizing platforms. This has become even more important in light of the current global pandemic. Here, we propose an end-to-end methodology that optimizes and homogenizes digital research processes. Each step of the process is elaborated from project conception to knowledge extraction, with a focus on data analysis. The methodology is based on iterative processes, thus allowing an adaptation to the rate at which digital technologies evolve. The methodology also advocates for interdisciplinary (from mathematics to psychology) and intersectoral (from academia to the industry) collaborations to merge the gap between fundamental and applied research. We also pinpoint the ethical challenges and technical and human biases (from data recorded to the end user) associated with digital mental health. In conclusion, our work provides guidelines for upcoming digital mental health studies, which will accompany the translation of fundamental mental health research to digital technologies.

Correlation Analysis of Hemoglobin-to-Red Blood Cell Distribution Width Ratio and Frailty in Elderly Patients With Coronary Heart Disease

Background: Coronary heart disease (CHD) is a common chronic disease in the elderly. Frailty can accelerate the development of CHD and lead to adverse health outcomes. Risk prediction and decision-making for frailty are crucial. The peripheral hemoglobin-to-red blood cell distribution width ratio (HRR) is a novel biomarker of inflammation. Our purpose was to explore the correlation between HRR and frailty in elderly patients with CHD.

Methods: This cross-sectional study evaluated 245 Chinese hospitalized patients with CHD. Blood parameters measured upon admission were obtained via the hospital electronic information medical record system. The Fried Frailty Phenotype Scale was used to evaluate the frailty status of the participants. The Receiver operating characteristic curve was used to determine the optimal cut-off values of HRR. We used univariate analysis to examine the potential factors affecting frailty. Kendall's tau-b grade correlation was used to analyze the correlation between HRR and frailty. The ordered logistic regression model was used to analyze the relationship between HRR and frailty.

Results: A total of 233 elderly patients with CHD were included in our study. Among the patients, 33.48% (78) were in a state of frailty. The optimal cut-off values of HRR was 9.76. The area under the curve (AUC) for HRR in the frailty patients was 0.652, exceed Hb (AUC = 0.618) and RDW (AUC = 0.650). Kendall's tau-b grade correlation analysis showed that HRR (K = −0.296, P < 0.001) was negatively correlated with frailty. The ordered logistic regression analysis determined that lower HRR was associated with frailty (P < 0.05) after adjusted for age, body mass index, number of drugs, comorbidity index, heart failure, red blood cells, albumin, total cholesterol, triglyceride, high density lipoprotein cholesterol, and low density lipoprotein cholesterol.

Conclusion: Lower HRR is an independent risk factor for frailty in elderly hospitalized patients with CHD. HRR was a more powerful prognostic indicator for frailty than either Hb or RDW alone. Clinicians should focus on timely identification of the risk of frailty in order to improve patient quality of life and to reduce the risk of complications.

Patient Risk Interpretation of Symptoms Model (PRISM): How Patients Assess Cardiac Risk

BACKGROUND

While there is a prevailing perception that coronary artery disease (CAD) is a "man's disease," little is known about the factors which influence cardiac risk assessment and whether it varies by gender.

OBJECTIVES

1) Qualitatively capture the complexity of cardiac risk assessment from a patient-centered perspective. 2) Explore how risk assessment may vary by gender. 3) Quantitatively validate qualitative findings among a new sample.

DESIGN

This study was conducted in two parts: (1) semi-structured in-depth interviews were audio-recorded, transcribed verbatim, and analyzed using modified grounded theory; (2) emergent themes were surveyed in a separate sample to validate findings quantitatively. Differences were estimated using 2-tailed t-tests and kappa.

PARTICIPANTS

Participants who were referred for their first elective coronary angiogram for suspected CAD with at least 1 prior abnormal test were recruited from a tertiary care hospital.

MAIN MEASURES

Patient-centered themes were derived from part one. In part two, patients estimated the probability that their symptoms were heart-related at multiple time points.

RESULTS

Part 1 included 14 men and 17 women (mean age=63.3±11.8 years). Part 2 included 237 patients, of which 109 (46%) were women (mean age=66.0±11.3 years). Part 1 revealed that patients' risk assessment evolves in three distinct phases, which were captured using an Ishikawa framework entitled "Patient Risk Interpretation of Symptoms Model" (PRISM). Part 2 validated PRISM findings; while patients were more likely to attribute their symptoms to CAD over time (phase 1 vs. 3: 21% vs. 73%, p<0.001), women were marginally less likely than men to perceive symptoms as heart-related by phase 3 (67% women vs. 78% men, p=0.054).

CONCLUSIONS

Patient assessment of CAD risk evolves, and women are more likely to underestimate their risk than men. PRISM may be used as a clinical aid to optimize patient-centered care. Future studies should validate PRISM in different clinical settings.

Coronary Artery Bypass Grafting Following Acute Coronary Syndrome: Impact of Gender

The impact of gender on clinical outcomes after coronary artery bypass grafting (CABG) has generated conflicting results. We investigated the impact of gender, on 30 day mortality, complications and late survival in patients with acute coronary syndrome (ACS) undergoing CABG. The study included 1308 patients enrolled from the biennial Acute Coronary Syndrome Israeli Survey between 2000 and 2016, who were hospitalized for ACS and underwent CABG. Of them, 1045 (80%) were men and 263 (20%) women. While women were older and had more hypertension and hyperlipidemia, they demonstrated less diabetes mellitus, previous ischemic heart disease, smoking, and fewer implicated coronary arteries. Women presented with more atypical symptoms as compared to men (26.3% vs 19.4%, p = 0.017). Overall multivariable-adjusted 30 day mortality was higher in women than in men (OR 2.47 95% CI 1.19-5.1, p = 0.015). Among patients with ST-elevation myocardial infarction (STEMI) or non-STEMI, women had a higher 10 year mortality rate than men (42.5% vs 19.2%, log-rank p < 0.001 and 31.5% vs 20.7%, log-rank, p = 0.012). However, in patients with unstable angina pectoris on admission, these differences were not seen (16.9% vs 13.4%, log-rank p = 0.540). Multivariable analysis demonstrated that female gender was a significant predictor for 10 year mortality (HR 1.39, 95% CI 1.02-1.9, p = 0.038). In a real-life setting, women constitute an independent predictor for short- and long-term mortality following ACS treated by CABG surgery. The reasons for a higher mortality in women should be further investigated as well as specific and/or more intensive therapies after CABG in this high-risk group of patients.

Sex and gender in cardiovascular medicine: presentation and outcomes of acute coronary syndrome

Although health disparities in women presenting with acute coronary syndrome (ACS) have received growing attention in recent years, clinical outcomes from ACS are still worse for women than for men. Women continue to experience higher patient and system delays and receive less aggressive invasive treatment and pharmacotherapies. Gender- and sex-specific variables that contribute to ACS vulnerability remain largely unknown. Notwithstanding the sex differences in baseline coronary anatomy and function, women and men are treated the same based on guidelines that were established from experimental and clinical trial data over-representing the male population. Importantly, younger women have a particularly unfavourable prognosis and a plethora of unanswered questions remains in this younger population. The present review summarizes contemporary evidence for gender and sex differences in vascular biology, clinical presentation, and outcomes of ACS. We further discuss potential mechanisms and non-traditional risk conditions modulating the course of disease in women and men, such as unrecognized psychosocial factors, sex-specific vascular and neural stress responses, and the potential impact of epigenetic modifications.

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.

The Impact of Race on Outcomes of Revascularization for Multivessel Coronary Artery Disease

BACKGROUND

Racial disparities exist between Black and White patients with coronary artery disease with regard to access to revascularization, preprocedural comorbidities, and postprocedural outcomes. This study investigated the differences in the treatment of multivessel coronary artery disease (MVCAD) and long-term outcomes between Black and White patients.

METHODS

This was a propensity-matched retrospective analysis that utilized pooled institutional data from a large, multihospital health care system. It included Black and White patients who underwent coronary revascularization for MVCAD between 2011 and 2018.

RESULTS

A total of 6005 patients were included (5689 White and 316 Black). In the unmatched cohort, Black patients had a higher incidence of preexisting comorbidities such as diabetes, dialysis dependence, peripheral arterial disease, heart failure, and underwent percutaneous coronary intervention (PCI) more frequently. Five-year overall survival was similar, but Black patients experienced higher rates of major adverse cardiac and cerebrovascular events and repeat revascularization. Propensity matching resulted in a sample of 926 (312 Black, 614 White) patients that were well matched. In the matched analysis, Black patients underwent PCI more frequently and a had higher rate of stoke. Five-year survival, major adverse cardiac and cerebrovascular events and repeat revascularization rates were comparable.

CONCLUSIONS

Black patients with MVCAD have a higher comorbidity burden and undergo PCI at higher rates. After adjusting for baseline differences, Black patients still had higher rates of PCI utilization and long-term stroke. It is possible that a significant portion of racial disparities in MVCAD are driven by differences in baseline risk; however, there is evidence of possible racial bias with regard to revascularization strategies.

Race-based and sex-based differences in bioactive lipid mediators after myocardial infarction

AIMS

Leucocyte-directed specialized pro-resolving mediators (SPMs) are essential for cardiac repair, and their biosynthesis coincides with the expression of pro-inflammatory mediators; however, the precise quantitation during an acute myocardial infarction (MI) event is poorly understood in race-specific and sex-specific manner. Coronary heart disease is the leading cause of death and disability in the USA. Although the prevalence of coronary heart disease is similar between Black and White patients, cardiovascular events (including MI), rehospitalization, and mortality are disproportionately higher in Black patients. Therefore, understanding differences in inflammation and resolution can enable the development of predictive, personalized, and precise treatment and attenuate sex/racial disparities. Thus, herein, we assess differences in bioactive lipids and SPMs, between Black and White patients experiencing an acute MI.

METHODS AND RESULTS

From the PRiME-GGAT cohort, we collected plasma after MI within 24-48 h from 22 Black (15 male and 7 female) and 31 White (23 male and 8 female) subjects for a comparative race-based and sex-based analyses. MI was confirmed using a biochemical measurement of plasma troponin and ST elevation. Plasma levels of three essential polyunsaturated fatty acids [arachidonic acid (AA), docosahexaenoic acid (DHA), and eicosapentaenoic acid (EPA)] and a set of 40 bioactive lipid mediators with major emphasis on SPMs were quantified by liquid chromatography-mass spectrometry. AA and DHA were higher in White male and female patients, and EPA was noted higher only in White male patients compared with White female and Black male and female patients. Lipoxygenase-mediated AA-derived 12-hydroxyeicosatetraenoic acid (29-63%) and 15-hydroxyeicosatetraenoic acid (3-9%) and DHA-derived 17-hydroxydocosahexaenoic acid (3-22%) and 14-hydroxydocosahexaenoic acid (7-10%) were major bioactive lipid mediators in plasma. The SPM signature resolvin E1 was significantly lower in Black patients compared with White male and female patients, whereas protectin D1 was lower in White male patients compared with White female and Black male and female patients.

CONCLUSION

Our comparative analyses of fatty acids and respective cyclooxygenase-derived and lipoxygenase-derived SPM signatures capture the heterogeneity of disease pathology and elucidate potential mechanisms underlying sex-based and race-based differences following MI.

A Systematic Review on the Use of Wearable Body Sensors for Health Monitoring: A Qualitative Synthesis

The use of wearable body sensors for health monitoring is a quickly growing field with the potential of offering a reliable means for clinical and remote health management. This includes both real-time monitoring and health trend monitoring with the aim to detect/predict health deterioration and also to act as a prevention tool. The aim of this systematic review was to provide a qualitative synthesis of studies using wearable body sensors for health monitoring. The synthesis and analysis have pointed out a number of shortcomings in prior research. Major shortcomings are demonstrated by the majority of the studies adopting an observational research design, too small sample sizes, poorly presented, and/or non-representative participant demographics (i.e., age, gender, patient/healthy). These aspects need to be considered in future research work.

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.

Racial Disparities in Clinical Characteristics and Outcomes of Women Undergoing Percutaneous Coronary Intervention

BACKGROUND/PURPOSE

Women are underrepresented in cardiovascular clinical studies. Black women have a higher ischemic heart disease mortality risk than their white counterparts. However, there exist limited outcome data comparing black women and white women after percutaneous coronary intervention (PCI). The aim of this retrospective analysis was to evaluate for racial disparities in 1-year major adverse cardiovascular events (MACE) in women undergoing PCI.

METHODS/MATERIALS

Within our PCI database, we identified 4776 female patients who underwent PCI between 2003 and 2016. Of those, 1916 were black and 2860 were white. Endpoints included MACE, death, myocardial infarction, target vessel revascularization (TVR) and stent thrombosis (ST) at 30 days and 1 year. A proportional Cox hazard model analysis was performed to assess outcomes after adjustment for confounding factors.

RESULTS

Black women presented at a younger age and had a significantly higher prevalence of risk factors. Periprocedural and in-hospital outcomes were similar in the 2 groups. At 30 days and 1 year, the rates of myocardial infarction, TVR and ST were significantly higher in black women. After adjustment for baseline differences, only ST appears to be more likely to occur in black women than in white women.

CONCLUSIONS

In this large cohort of women with coronary artery disease undergoing PCI, we observed racial disparities primarily in baseline characteristics indicative of need for interventions to achieve early diagnosis and better prevention in black women. Future directions should include efforts to identify and better characterize the factors underlying and contributing to cardiovascular outcomes in women after PCI.

SUMMARY

In this real-world analysis from a large cohort of women with coronary artery disease undergoing percutaneous coronary intervention at a US tertiary-care center, racial disparities were observed, especially in baseline characteristics, indicating late presentation.

Contemporary Sex-Based Differences by Age in Presenting Characteristics, Use of an Early Invasive Strategy, and Inhospital Mortality in Patients With Non-ST-Segment-Elevation Myocardial Infarction in the United States

BACKGROUND

Prior studies have reported higher inhospital mortality in women versus men with non-ST-segment-elevation myocardial infarction. Whether this is because of worse baseline risk profile compared with men or sex-based disparities in treatment is not completely understood.

METHODS AND RESULTS

We queried the 2003 to 2014 National Inpatient Sample databases to identify all hospitalizations in patients aged ≥18 years with the principal diagnosis of non-ST-segment-elevation myocardial infarction. Complex samples multivariable logistic regression models were used to examine sex differences in use of an early invasive strategy and inhospital mortality. Of 4 765 739 patients with non-ST-segment-elevation myocardial infarction, 2 026 285 (42.5%) were women. Women were on average 6 years older than men and had a higher comorbidity burden. Women were less likely to be treated with an early invasive strategy (29.4% versus 39.2%; adjusted odds ratio, 0.92; 95% confidence interval, 0.91-0.94). Women had higher crude inhospital mortality than men (4.7% versus 3.9%; unadjusted odds ratio, 1.22; 95% confidence interval, 1.20-1.25). After adjustment for age (adjusted odds ratio, 0.96; 95% confidence interval, 0.94-0.98) and additionally for comorbidities, other demographics, and hospital characteristics, women had 10% lower odds of inhospital mortality (adjusted odds ratio, 0.90; 95% confidence interval, 0.89-0.92). Further adjustment for differences in the use of an early invasive strategy did not change the association between female sex and lower risk-adjusted inhospital mortality.

CONCLUSIONS

Although women were less likely to be treated with an early invasive strategy compared with men, the lower use of an early invasive strategy was not responsible for the higher crude inhospital mortality in women, which could be entirely explained by older age and higher comorbidity burden.

Outcomes by Gender and Ethnicity After Percutaneous Coronary Intervention

Limited data on gender differences by ethnicity after percutaneous coronary intervention (PCI) exist. In this prospective cohort study, we examined gender differences in 1-year outcomes among patients from 4 ethnic groups who underwent PCI from 2010 to 2016 at a tertiary center. The primary outcome was 1-year major adverse cardiovascular events (MACE) defined as composite of all-cause death, nonfatal myocardial infarction (MI), or target lesion revascularization. Secondary outcomes included composite of death or MI and individual components of MACE. Baseline characteristics and outcomes were compared between gender in each ethnic group. The study included 16,361 patients: 7,881 whites (26.1% women), 1,943 blacks (47.3% women), 2,621 Asians (22.6% women), and 3,916 Hispanics (39.3% women). Women were older with more co-morbidities than men. Unadjusted, women had higher incidence of 1-year MACE than men among whites and Asians but not blacks or Hispanics, which was driven by a greater incidence of death in white women and greater incidence of MI in Asian women compared with male counterparts. After adjustment, findings showed similar risk of 1-year MACE in women versus men in whites, Asians, and Hispanics (Whites: hazard ratio [HR] 0.95, 95% confidence interval [CI] 0.78 to 1.16; Asians: HR 1.14, 95% CI 0.77 to 1.67; Hispanics: HR 0.97, 95% CI 0.74 to 1.27). Black women had lower risk of 1-year MACE compared with black men (HR 0.67, 95% CI 0.46 to 0.97), driven by lower risk of death or MI. In conclusion, this study suggests that risk factors account for adverse events in women after PCI.

Life‐Saving Medications: The Urgent Need for Guideline Adherence and Patient Acceptance

See Article by Bradley et al

Racial differences in myocardial deformation in obese children: Significance of inflammatory state

BACKGROUND AND AIMS

The association between racial differences in myocardial deformation and cardiometabolic risk factors is unknown in obese children. Our objective was to: 1) investigate for racial differences in myocardial deformation between white and black obese children and 2) identify biomarkers associated with these observed racial differences. We hypothesized that decreased myocardial deformation observed in black obese children could be accounted for by the differences in the markers of metabolic syndrome between the groups.

METHODS AND RESULTS

Obese children were recruited prospectively. All clinical and laboratory tests for the metabolic syndrome were conducted during a single assessment using a standardized protocol. Speckle-tracking echocardiography was performed to obtain longitudinal and circumferential measures of deformation. 310 patients were included in the analysis; 158 (51%) white and 152 (49%) black. The median age was 11.3 years (IQR 5.9). Blacks demonstrated worse longitudinal strain (-14.7 ± 2.7% vs. -15.4 ± 2.9%, p = 0.04). There was no difference in circumferential strain between the groups. Multivariable linear regression showed a significant relationship between longitudinal strain and hsCRP (β = 0.16, p = 0.03) and HOMA-IR (β = 0.15, p = 0.04); there was no independent association between longitudinal strain and race.

CONCLUSION

Black subjects demonstrated worse longitudinal strain than whites. Only hsCRP and HOMA-IR levels, not race, had an independent association with longitudinal strain, suggesting that the observed racial differences in longitudinal strain may be secondary to differences in inflammation and insulin resistance between the groups.

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data

A promise of machine learning in health care is the avoidance of biases in diagnosis and treatment; a computer algorithm could objectively synthesize and interpret the data in the medical record. Integration of machine learning with clinical decision support tools, such as computerized alerts or diagnostic support, may offer physicians and others who provide health care targeted and timely information that can improve clinical decisions. Machine learning algorithms, however, may also be subject to biases. The biases include those related to missing data and patients not identified by algorithms, sample size and underestimation, and misclassification and measurement error. There is concern that biases and deficiencies in the data used by machine learning algorithms may contribute to socioeconomic disparities in health care. This Special Communication outlines the potential biases that may be introduced into machine learning-based clinical decision support tools that use electronic health record data and proposes potential solutions to the problems of overreliance on automation, algorithms based on biased data, and algorithms that do not provide information that is clinically meaningful. Existing health care disparities should not be amplified by thoughtless or excessive reliance on machines.

Genetic risk score (GRS) constructed from polymorphisms in the PON1, IL-6, ITGB3, and ALDH2 genes is associated with the risk of coronary artery disease in Pakistani subjects

Background

Coronary artery disease (CAD) is a major killer in today’s world. Pakistan is also affected by this non-communicable disease like other countries. It is a multifactorial disease and is influenced by many gene-gene and gene-environment interactions.

Methods

A total of 623 (219 controls, 404 cases) Pakistani subjects were genotyped for four SNPs, rs662 (PON1), rs5918 (ITGB3), rs671 (ALDH2), rs1800795 (IL-6) by PCR-RFLP. Various anthropometric parameters were noted and serum lipid profile was measured using commercially available kits. Statistical analysis was done by SPSS version 22. A Genetic Risk Score (GRS) was calculated from individual SNPs. The association of the SNPs and the GRS with CAD was checked using logistic regression.

Results

The results showed that the risk allele frequencies of all variants were higher in the cases than the controls, however the difference was not statistically significant association (p > 0.0125). The mean GRS in the controls was 3.99 ± 1.42 and in cases, it was 4.29 ± 1.39, the difference between the groups was significant (p = 0.0109). logistic regression of individual SNPs and GRS with the CAD showed that independent SNPs were not significantly associated with the CAD however, the GRS had a strong association (p = 1.4 × 10^− 4). The subjects were divided into three groups based on GRS (Gp 1 with GRS 0–2, Gp 2 with GRS 3–5 and Gp 3 with GRS 6–8). The analysis of the effect of the individual SNPs and GRS groups on different lipid profile parameters revealed no significant association of any of the tested SNPs with any lipid parameter, however, the GRS groups showed marginally significant for TC and highly significant association for TG, LDL-c and HDL-c.

Conclusion

In conclusion, use of a GRS can provide better information than individual SNPs. The larger the number of the SNPs included in the analysis, the better would be the risk prediction.

Racial Differences in Quality of Care and Outcomes After Acute Coronary Syndrome

Guideline adherence and variation in acute coronary syndrome (ACS) outcomes by race in the modern era of drug-eluting stents (DES) are not well understood. Previous studies also fail to capture rapidly growing minority populations, such as Asians. A retrospective analysis of 689,238 hospitalizations for ACS across all insurance types from 2008 to 2011 from the Healthcare Cost and Utilization Project database was performed to determine whether quality of ACS care and mortality differ by race (white, black, Asian, Hispanic, or Native American), with adjustment for patient clinical and demographic characteristics and clustering by hospital. We found that black patients had the lowest in-hospital mortality rates (5% vs 6% to 7% for other races, p <0.0001, odds ratio [OR] 1.02, 95% confidence interval [CI] 0.97 to 1.07), despite low rates of timely angiography in ST-elevation myocardial infarction and non-ST-elevation myocardial infarction, and lower use of DES (30% vs 38% to 40% for other races, p <0.0001). In contrast, Asian patients had the highest in-hospital mortality rates (7% vs 5% to 7% for other races, p <0.0001, odds ratio 1.13, 95% CI 1.08 to 1.20, relative to white patients), despite higher rates of timely angiography in ST-elevation myocardial infarction and non-ST-elevation myocardial infarction, and the highest use of DES (74% vs 63% to 68% for other races, p <0.0001). Asian patients had the worst in-hospital mortality outcomes after ACS, despite high use of early invasive treatments. Black patients had better in-hospital outcomes despite receiving less guideline-driven care.

Mapping the Gaps: Gender Differences in Preventive Cardiovascular Care among Managed Care Members in Four Metropolitan Areas

BACKGROUND

Prior research documents gender gaps in cardiovascular risk management, with women receiving poorer quality routine care on average, even in managed care systems. Although population health management tools and quality improvement efforts have led to better overall care quality and narrowing of racial/ethnic gaps for a variety of measures, we sought to quantify persistent gender gaps in cardiovascular risk management and to assess the performance of routinely used commercial population health management tools in helping systems narrow gender gaps.

METHODS

Using 2013 through 2014 claims and enrollment data from more than 1 million members of a large national health insurance plan, we assessed performance on seven evidence-based quality measures for the management of coronary artery disease and diabetes mellitus, a cardiac risk factor, across and within four metropolitan areas. We used logistic regression to adjust for region, demographics, and risk factors commonly tracked in population health management tools.

FINDINGS

Low-density lipoprotein (LDL) cholesterol control (LDL < 100 mg/dL) rates were 5 and 15 percentage points lower for women than men with diabetes mellitus (p < .0001), and coronary artery disease (p < .0001), respectively. Adjusted analyses showed women were more likely to have gaps in LDL control, with an odds ratio of 1.31 (95% confidence interval, 1.27-1.38) in diabetes mellitus and 1.88 (95% confidence interval, 1.65-2.10) in coronary artery disease.

CONCLUSIONS

Given our findings that gender gaps persist across both clinical and geographic variation, we identified additional steps health plans can take to reduce disparities. For measures where gaps have been consistently identified, we recommend that gender-stratified quality reporting and analysis be used to complement widely used algorithms to identify individuals with unmet needs for referral to population health and wellness behavior support programs.

Sustained sex-based treatment differences in acute coronary syndrome care: Insights from the American Heart Association Get With The Guidelines Coronary Artery Disease Registry

BACKGROUND

Sex-based differences in acute coronary syndrome (ACS) mortality may attenuate with age due to better symptom recognition and prompt care.

HYPOTHESIS

Age is a modifier of temporal trends in sex-based differences in ACS care.

METHODS

Among 104 817 eligible patients with ACS enrolled in the AHA Get With the Guidelines-Coronary Artery Disease registry between 2003 and 2008, care and in-hospital mortality were evaluated stratified by sex and age. Temporal trends within sex and age groups were assessed for 2 care processes: percentage of STEMI patients presenting to PCI-capable hospitals with a DTB time ≤ 90 minutes (DTB90) and proportion of eligible ACS patients receiving aspirin within 24 hours.

RESULTS

After adjustment for clinical risk factors and sociodemographic and hospital characteristics, 2276 (51.7%) women and 6276 (56.9%) men with STEMI were treated with DTB90 (adjusted OR: 0.85, 95% CI: 0.80-0.91, P < 0.0001 for women vs men). Time trend analysis showed an absolute increase ranging from 24% to 35% in DTB90 rates among both men and women (P for trend <0.0001 for each group), with consistent differences over time across the 4 age/sex groups (3-way P-interaction = 0.93). Despite high rate of baseline aspirin use (87%-91%), there was a 9% to 11% absolute increase in aspirin use over time, also with consistent differences across the 4 age/sex groups (all 3-way P-interaction ≥0.15).

CONCLUSIONS

Substantial gains of generally similar magnitude existed in ACS performance measures over 6 years of study across sex and age groups; areas for improvement remain, particularly among younger women.

A National Study of the Effect of Race, Socioeconomic Status, and Gender on Burn Outcomes

Age, burn size, and inhalation injury are the major contributing variables related to burn mortality. While the female gender has been linked to higher mortality, the impact of socioeconomic status has not been well studied. The interplay between these three factors is also unknown. This study sought to clarify the effects of these variables on outcomes in a national sample of patients with burns. A retrospective review of 172,640 patient records of the National Burn Repository (version 8, 2002-2011) data was conducted. Of those records, 36,960 (21.4%) patient entries were excluded for duplicate entries, follow-up visits, readmissions, nonburn injuries, skin diseases, and incompleteness (missing date of admission, date of discharge, race, or TBSA of burn or TBSA). Univariate and multivariate analyses were performed to compare outcomes by race (Caucasian, African-American, and other minority groups). P < .05 was considered significant. The study group included 135,680 patients and was predominately Caucasian (59.0% Caucasian, 19.0% African-American, and 22.0% other minority groups). The African-American race had more females, operations, longer length of stay, ventilator days, septicemia (all P < .001), and urinary tract infections (UTIs, P < .01). Caucasians had the largest burns (9.27 ± 13.22, P <.001) and were more likely to be older, to be intubated, and to have longer intensive care unit stays and higher mortality (all P < .001). Other non-African-American minorities (other minority group) had the second largest burn sizes, most uninsured members, and lowest mortality (P < .001). On multivariate analysis, mortality was related to African-American race, female gender, TBSA, full-thickness burn injury, inhalation injury, uninsured status, and burn mechanism. African-Americans were 50% more likely to have complications (P < .001), 30% more likely to have UTIs (P = .002), and 41% more likely to get septicemia (P < .001). Other racial minority groups had more acute respiratory distress syndrome, pneumonias, septicemia, UTIs, length of stay, and hospital charges when compared with Caucasian patients. Socioeconomic status was related to mortality but inconsistently related to other outcomes. Race appears to play a significant role in burn injury outcomes. Minority groups, especially African-Americans, have a higher risk of morbidity and mortality compared with Caucasian patients with burns. Socioeconomic status and gender also play a significant role in burn outcomes. Future studies should focus on delineating the reasons for this disparity.

Associations between cardiac troponin, mortality and subsequent use of cardiovascular services: differences in sex and ethnicity

Background

The impact of cardiac troponin (cTn) testing on the downstream use of cardiovascular services is not well understood. We conducted this large-scale single centre cohort study to investigate the patterns of testing that result from the use of cTn.

Methods

We conducted this investigation using data collected between 1 January 2013 and 18 December 2015 from an academically affiliated tertiary care centre. Data from all hospitalised patients evaluated with cTn (Roche Elecsys cTn-T) assay were collected from our integrated data repository and divided into two cohorts: all cTn assays negative (<0.03 µg/L) versus at least one elevated (≥0.03 µg/L). The main outcomes were the frequency of use cardiovascular services and mortality.

Results

Among 26 663 subjects, 18.6% had at least one elevated cTn assay; acute myocardial infarction was diagnosed in 3.9% overall. More men received cardiac catheterisation and cardiology consultation (OR 1.29, 95% CI 1.20 to 1.39 and OR 1.45, 95% CI 1.31 to 1.61) while African-American patients were less likely to have either catheterisation (OR 0.85, 95% CI 0.77 to 0.93) or consultation (OR 0.72, 95% CI 0.63 to 0.82) performed. Mortality was associated with detectable cTn (HR 2.05, P<0.0001).

Conclusions

Among hospitalised patients evaluated with cTn, we observed patterns of underuse and overuse of cardiovascular services. These patterns may have further relevance when high-sensitivity cTn assays are available in the USA. Sex and race-based disparities in cardiovascular services persist.

Sex Differences in the Coronary System

Cardiovascular disease remains the leading cause of morbidity and mortality for both women and men. Emerging evidence supports that ischemic heart disease (IHD) may manifest differently in women and men, in ways ranging from the clinical presentation, diagnosis, and management of disease to the basic biology and biomechanics of cardiomyocyte function and the coronary circulation. Women consistently present with a higher burden of symptoms and comorbidities as compared with men and experience worse outcomes. These data have proved perplexing given the decreased likelihood of women to demonstrate obstructive coronary artery disease (CAD) on coronary angiography. Reported sex differences have long been influenced by the practice of defining heart disease primarily as obstructive CAD, but obstructive plaque is now recognized as neither necessary nor sufficient to explain symptoms of IHD, and it is no longer adequate to tailor diagnostic and treatment strategies only to this subset of patients. To date, women remain underrepresented in guideline-changing heart disease research and trials, creating important limitations in the evidence base for cardiovascular medicine. Smaller epicardial coronary arteries in women as compared to men, coupled with differences in shear stress and inflammatory mediators over the life span, may modify the development of CAD in susceptible patients into a diffuse pattern with more contribution from coronary vasomotor dysfunction than focal obstruction. Newer studies corroborate that symptomatic women are more likely than men to present with nonobstructive CAD and coronary microvascular dysfunction. When present, these processes increase cardiovascular risk in both women and men but may constitute an especially malignant phenotype in a subset of severely affected women, with implications for the management of not only CAD but also heart failure with preserved ejection fraction. This represents a state-of-the-art review of sex differences in the coronary system, with an eye toward how diverse pathophysiological processes may contribute to IHD phenotypes prevalent in women and men. Beyond providing women and men with equitable optimal care according to current paradigms, understanding the pathophysiology of IHD beyond a conventional focus on obstructive CAD is needed to address what is likely a combination of biological as well as environmental determinants of their prognosis.

Racial and Ethnic Differences in Trajectories of Hospitalization in US Men and Women With Heart Failure

BACKGROUND

Prior studies have documented racial and ethnic disparities in hospitalization among patients with heart failure (HF). However, racial/ethnic differences in trajectories of hospitalization following the diagnosis of HF have not been well characterized. This study examined racial/ethnic differences in individual-level trajectories of hospitalization in older adults with diagnosed HF.

METHODS AND RESULTS

Data from a nationally representative prospective cohort of US men and women aged 45 years and older were used to examine the number of hospitalizations reported every 24 months. Participants who were non-Hispanic white, non-Hispanic black, and Hispanic with a reported diagnosis of HF (n=3011) were followed from 1998 to 2014. Results showed a quadratic change in the number of reported hospitalizations following HF diagnosis, with an average of 2.36 (95% confidence interval [CI], 2.19-2.53; P<0.001) hospitalizations within 24 months that decreased by 0.35 (95% CI, -0.45 to -0.25; P<0.001) every 24 months and subsequently increased by 0.03 (95% CI, 0.02-0.05; P<0.001) thereafter. In men, there were no racial/ethnic differences in hospitalizations reported at the time of diagnosis; however, Hispanic men had significant declines in hospitalizations after diagnosis (Hispanic×time=-0.52; 95% CI, -0.99 to -0.05 [P=0.031]) followed by a sizeable increase in hospitalizations at later stages of disease (Hispanic×time2=0.06; 95% CI, 0.00-0.12 [P=0.047]). In women, hospitalizations were consistently high following their diagnosis and black women had significantly more hospitalizations throughout follow-up than white women (black=0.28; 95% CI, 0.00-0.55 [P=0.048]). Racial/ethnic disparities varied by geography and the differences remained significant after adjusting for multiple sociodemographic, psychosocial, behavioral, and physiological factors.

CONCLUSIONS

There were significant racial/ethnic differences in trajectories of hospitalization following the diagnosis of HF in US men and women. Racial/ethnic disparities varied by place of residence and the differences persisted after adjustment for multiple risk factors. The findings have important implications that may be crucial to planning the immediate and long-term delivery of care in patients with HF to reduce potentially preventable hospitalizations.

Analyzing cardiovascular treatment guidelines application to women and minority populations

Despite nearly 30 years of treatment guidelines for cardiovascular diseases and risk factors and a parallel growth in the understanding of cardiovascular disease disparities by sex and race/ethnicity, such disparities persist. The goals of this review are to consider the possible role of three factors: the one-size-fits-all approach of most treatment guidelines, adoption of guideline-recommended treatments in clinical practice, and patient adherence to recommended practice, especially the relationship between adherence and patient perceptions. Guideline authors repeatedly call for more inclusion of women and minorities in the clinical trials that make guidelines possible, but despite challenges, guidelines are largely effective when implemented, as shown by a wealth of post hoc analyses. However, the data also suggest that one-size-fits-all treatment guidelines are not sufficiently generalizable and there is evidence of a distinct lag time between definitive clinical evidence and its widespread implementation. Patient perspectives may also play both a direct and indirect role in adherence to treatments. What emerges from the literature is an important continuing need for increased inclusion of women and minority subgroups in clinical trials to allow analyses that can provide evidence for differential treatments when needed. Increased effort is needed to implement definitive clinical improvements more rapidly. Patient input and feedback may also help inform clinical practice and clinical research with a better understanding of how to enhance patient adherence, but evidence for this is lacking for the groups most affected by disparities.

Myocardial perfusion imaging in women for the evaluation of stable ischemic heart disease-state-of-the-evidence and clinical recommendations

This document from the American Society of Nuclear Cardiology represents an updated consensus statement on the evidence base of stress myocardial perfusion imaging (MPI), emphasizing new developments in single-photon emission tomography (SPECT) and positron emission tomography (PET) in the clinical evaluation of women presenting with symptoms of stable ischemic heart disease (SIHD). The clinical evaluation of symptomatic women is challenging due to their varying clinical presentation, clinical risk factor burden, high degree of comorbidity, and increased risk of major ischemic heart disease events. Evidence is substantial that both SPECT and PET MPI effectively risk stratify women with SIHD. The addition of coronary flow reserve (CFR) with PET improves risk detection, including for women with nonobstructive coronary artery disease and coronary microvascular dysfunction. With the advent of PET with computed tomography (CT), multiparametric imaging approaches may enable integration of MPI and CFR with CT visualization of anatomical atherosclerotic plaque to uniquely identify at-risk women. Radiation dose-reduction strategies, including the use of ultra-low-dose protocols involving stress-only imaging, solid-state detector SPECT, and PET, should be uniformly applied whenever possible to all women undergoing MPI. Appropriate candidate selection for stress MPI and for post-MPI indications for guideline-directed medical therapy and/or invasive coronary angiography are discussed in this statement. The critical need for randomized and comparative trial data in female patients is also emphasized.

Racial Differences in Patient-Reported Post-Stroke Disability in Older Adults

Longstanding disparities have been reported in stroke-related outcomes with blacks experiencing more post-stroke disabilities. Little is known about long-term disability outcomes among older stroke survivors. This study was a retrospective analysis of data from the 2015 National Health Interview Survey (NHIS). A group of 655 stroke survivors (541 white and 114 black) age 65 and older were asked to rate their ability to complete 10 functional tasks without special equipment. Univariate comparisons were completed using t-tests and chi-square statistics for racial comparisons of disability reports. Multinomial logistic regression was used to determine odds of reporting disability after controlling for relevant covariates. The mean age of the sample was 76.6 years. After controlling for relevant covariates, white stroke survivors were less likely to report the following tasks being "very difficult/can't do at all" without using special equipment compared to blacks: reach overhead (OR = 0.39, 95% CI 0.23⁻0.65; p = 0.000) and grasp small objects (OR = 0.42, 95% CI 0.25⁻0.73; p = 0.002). Both black and white older stroke survivors experience significant post-stroke disability across a range of functional tasks. Slightly greater long term post-stroke disability appears to exist among older blacks.