Health Disparities in Advanced Heart Failure Treatment: The Intersection of Race and Sex

Race-ethnicity, age, and heart failure in ischemic stroke

OBJECTIVES

Race-ethnic disparities contribute to cardiovascular morbidity. Heart failure (HF) is highly prevalent in acute ischemic stroke (AIS) and associated with worse outcomes. We hypothesized race-ethnic differences exist in the prevalence of HF among patients with AIS, particularly in younger patients, and in a manner not fully explained by cardiovascular profiles.

METHODS

Patients with AIS in the National Inpatient Sample (2016-2019) were categorized as young (<50 years), middle (50-64) and older (≥65) age. Interaction between age and race-ethnicity on the presence of comorbid HF was examined, adjusting for vascular risk factors. Effect modification on in-hospital mortality and prolonged hospitalization across race-ethnic groups and age was also examined.

RESULTS

Of 398,470 AIS patients, 16.2 % had HF. HF patients were older (73.7 vs. 69.5 years, P < 0.001), had a lower proportion of White, Hispanic and Asian/PI individuals but a larger proportion of patients of Black race (21.0 vs. 16.4 %, P < 0.001). Race-ethnicity modified the relationship between HF and age (Pinteraction < 0.001). Stroke patients of Black race had the greatest odds of having HF across all age groups, however differences between Black and White patients were most pronounced in young adults (OR: 2.08, 95 % CI: 1.91-2.27) after adjusting for vascular risk factors. Among patients with HF, Black race was associated with reduced risk of in-hospital mortality but greater likelihood of prolonged hospitalization at middle and older age.

CONCLUSION

HF is highly prevalent in stroke patients of Black race, particularly in younger cohorts, and in a manner not fully explained by cardiovascular profiles.

Electrocardiographic left atrial abnormality and risk of heart failure

INTRODUCTION

The association and the racial differences of the electrocardiographic markers of left atrial abnormality (ECG-LAA) with heart failure (HF) are unclear.

METHODS

We examined the cross-sectional association of ECG-LAA, defined as deep terminal negativity of P wave in V1 (DTNPV1) with HF in 8460 participants (51.5% women, 60.3 ± 13.5 age and 49.8% Whites) from the US Third National Health and Nutrition Examination Survey. We excluded participants without P-wave in their ECG or with ECG findings that interfere with measurements of P-wave. DTNPV1 was automatically measured from ECGs processed at a central lab. Values of DTNPV1 ≥ 100 μV were considered abnormal. Past medical history of HF was identified through health interviews. Multivariable logistic regression analysis was used to examine the associations of DTNPV1 with HF.

RESULTS

Abnormal DTNPV1 was detected in 3.2% (n = 271) of the participants. HF was significantly more common in individuals with abnormal, compared to those with normal, DTNPV1 (14.7% vs. 4.8%, respectively; p-value <0.001). In a model adjusted for socio-demographics and cardiovascular risk factors, ECG-LAA was associated with 98% increased odds of HF (OR (95% CI): 1.98 (1.30-3.01), p < 0.001). This association was stronger in non-White (vs. White) participants (OR (95% CI): 3.14 (1.82-5.43) vs. 1.01 (0.51-1.97), respectively; interaction p-value =0.01), but consistent in subgroups stratified by age and sex.

CONCLUSIONS

ECG-LAA, defined as abnormal DTNPV1, is associated with an increased risk of HF, underscoring the role of atrial disease in developing HF. Racial differences in this association exist, possibly suggesting considering ECG-LAA in personalized assessments of HF risk.

Mitigating Health Disparities in Transplantation Requires Equity, Not Equality

Despite decades of research and evidence-based mitigation strategies, disparities in access to transplantation persist for all organ types and in all stages of the transplant process. Although some strategies have shown promise for alleviating disparities, others have fallen short of the equity goal by providing the same tools and resources to all rather than tailoring the tools and resources to one's circumstances. Innovative solutions that engage all stakeholders are needed to achieve equity regardless of race, sex, age, socioeconomic status, or geography. Mitigation of disparities is paramount to ensure fair and equitable access for those with end-stage disease and to preserve the trust of the public, upon whom we rely for their willingness to donate organs. In this overview, we present a summary of recent literature demonstrating persistent disparities by stage in the transplant process, along with policies and interventions that have been implemented to combat these disparities and hypotheses for why some strategies have been more effective than others. We conclude with future directions that have been proposed by experts in the field and how these suggested strategies may help us finally arrive at equity in transplantation.

Trends in the Incidence of Cardiogenic Shock, and Utilization of Mechanical Circulatory Support in Myocarditis: Insights from the National Inpatient Sample 2016 to 2019

A subset of patients with myocarditis present with cardiogenic shock. There is a lack of contemporary data assessing the use of mechanical circulatory support (MCS) in these patients. Myocarditis hospitalizations were analyzed using the National Inpatient Sample between 2016 and 2019. Characteristics of patients with and without cardiogenic shock were assessed. Trends in mortality, MCS, right-sided cardiac catheterization (RHC) and endomyocardial biopsy were evaluated. The impact of RHC on consequent MCS and mortality was studied. A total of 38,300 hospitalizations for myocarditis were included in the study, of which 3,490 hospitalizations (9.1%) had cardiogenic shock. Patients with cardiogenic shock were older (p <0.001) and had more chronic kidney disease and atrial fibrillation. Between 2016 and 2019, there was an increase in myocarditis admissions but no difference in rates of cardiogenic shock and mortality and the use of extracorporeal membrane oxygenation, percutaneous ventricular assist devices, intra-aortic balloon pumps, left ventricular assist devices, and cardiac transplant. The most common form of MCS used in myocarditis was extracorporeal membrane oxygenation. The rates of RHC (p = 0.02) and endomyocardial biopsy (p = 0.03) increased over time. Patients who underwent RHC were more likely to receive mechanical support, and in patients with shock, RHC was associated with lower mortality (adjusted odds ratio 0.34, p <0.01). Myocarditis admissions increased over time but with no increase in the rates of cardiogenic shock and MCS. In patients with cardiogenic shock, RHC resulted in lower mortality.

Emerging Racial Differences in Heart Transplant Waitlist Outcomes for Patients on Temporary Mechanical Circulatory Support

Temporary mechanical circulatory support (tMCS) is increasingly used for patients awaiting heart transplantation. Although examples of systemic inequity in cardiac care have been described, biases in tMCS use are not well characterized. This study explores the racial disparities in tMCS use and waitlist outcomes. The United Network for Organ Sharing database was used to identify adults listed for first-time heart transplantation from 2015 to 2021. White and non-White patients on extracorporeal membrane oxygenation, intra-aortic balloon pump, or temporary left ventricular assist device were identified. Waitlist outcomes of mortality, transplantation, and delisting were analyzed by race using competing risks regression. The effect of the new heart allocation system was also assessed. A total of 16,811 patients were included in this study, with 10,377 self-identifying as White and 6,434 as non-White. White patients were more often male, privately ensured, and had less co-morbidities (p <0.05). tMCS use was found to be significantly higher in non-White patients (p <0.001). Among those on tMCS, non-White patients were more likely to be delisted because of illness (subhazard ratio 1.34 [1.09 to 1.63]) and less likely to die while on the waitlist (subhazard ratio 0.76 [0.61 to 0.93]). This disparity was not present before the implementation of the new heart allocation system. tMCS use was proportional to the risk factors identified in the non-White cohort. After the implementation of the new heart allocation system, White patients were more likely to die, whereas non-White patients were more likely to be delisted. Further work is needed to determine the causes of and potential solutions for disparities in the waitlist outcomes.

Improving Fairness in the Prediction of Heart Failure Length of Stay and Mortality by Integrating Social Determinants of Health

BACKGROUND

Machine learning (ML) approaches have been broadly applied to the prediction of length of stay and mortality in hospitalized patients. ML may also reduce societal health burdens, assist in health resources planning and improve health outcomes. However, the fairness of these ML models across ethnoracial or socioeconomic subgroups is rarely assessed or discussed. In this study, we aim (1) to quantify the algorithmic bias of ML models when predicting the probability of long-term hospitalization or in-hospital mortality for different heart failure (HF) subpopulations, and (2) to propose a novel method that can improve the fairness of our models without compromising predictive power.

METHODS

We built 5 ML classifiers to predict the composite outcome of hospitalization length-of-stay and in-hospital mortality for 210 368 HF patients extracted from the Get With The Guidelines-Heart Failure registry data set. We integrated 15 social determinants of health variables, including the Social Deprivation Index and the Area Deprivation Index, into the feature space of ML models based on patients' geographies to mitigate the algorithmic bias.

RESULTS

The best-performing random forest model demonstrated modest predictive power but selectively underdiagnosed underserved subpopulations, for example, female, Black, and socioeconomically disadvantaged patients. The integration of social determinants of health variables can significantly improve fairness without compromising model performance.

CONCLUSIONS

We quantified algorithmic bias against underserved subpopulations in the prediction of the composite outcome for HF patients. We provide a potential direction to reduce disparities of ML-based predictive models by integrating social determinants of health variables. We urge fellow researchers to strongly consider ML fairness when developing predictive models for HF patients.

Special Considerations in the Care of Women With Advanced Heart Failure

Advanced heart failure (AHF) is associated with increased morbidity and mortality, and greater healthcare utilization. Recognition requires a thorough clinical assessment and appropriate risk stratification. There are persisting inequities in the allocation of AHF therapies. Women are less likely to be referred for evaluation of candidacy for heart transplantation or left ventricular assist device despite facing a higher risk of AHF-related mortality. Sex-specific risk factors influence progression to advanced disease and should be considered when evaluating women for advanced therapies. The purpose of this review is to discuss the role of sex hormones on the pathophysiology of AHF, describe the clinical presentation, diagnostic evaluation and definitive therapies of AHF in women with special attention to pregnancy, lactation, contraception and menopause. Future studies are needed to address areas of equipoise in the care of women with AHF.

Unequitable Heart Failure Therapy for Black, Hispanic and American-Indian Patients

Despite the high prevalence of heart failure among Black and Hispanic populations, patients of colour are frequently under-prescribed guideline-directed medical therapy (GDMT) and American-Indian populations are not well characterised. Clinical inertia, financial toxicity, underrepresentation in trials, non-trustworthy medical systems, bias and structural racism are contributing factors. There is an urgent need to develop evidence-based strategies to increase the uptake of GDMT for heart failure in patients of colour. Postulated strategies include prescribing all GDMT upon first encounter, aggressive outpatient uptitration of GDMT, intervening upon social determinants of health, addressing bias and racism through changing processes or policies that unfairly disadvantage patients of colour, engagement of stakeholders and implementation of national quality improvement programmes.

Impact of Racial Disparities in Preoperative Cardiovascular Evaluation and Surgical Outcomes in Patients Undergoing Metabolic and Bariatric Surgery: A Retrospective Cohort Analysis

Background

We investigated preoperative referral patterns, rates of cardiovascular testing, surgical wait times, and postoperative outcomes in White versus Black, Hispanic, or other racial or ethnic groups of patients undergoing metabolic and bariatric surgery.

Methods and Results

This was a single center retrospective cohort analysis of 797 consecutive patients undergoing metabolic and bariatric surgery from January 2014 to December 2018; 86% (n=682) were Black, Hispanic, or other racial or ethnic groups. White versus Black, Hispanic, or other racial or ethnic groups had similar baseline comorbidities and were referred for preoperative cardiovascular evaluation in similar proportion (65% versus 68%, P=0.529). Black, Hispanic, or other racial or ethnic groups of patients were less likely to undergo preoperative cardiovascular testing (unadjusted odds ratio [OR], 0.56; 95% CI, 0.33–0.95; P=0.031; adjusted for Revised Cardiac Risk Index OR, 0.59; 95% CI, 0.35–0.996; P=0.049). White patients had a shorter wait time for surgery (unadjusted hazard ratio [HR], 0.7; 95% CI, 0.58–0.87; P=0.001; adjusted HR, 0.7; 95% CI, 0.56–0.95; P=0.018). Reduction in body mass index at 6 months was greater in White patients (12.9 kg/m² versus 12.0 kg/m², P=0.0289), but equivalent at 1 year (14.9 kg/m² versus 14.3 kg/m², P=0.330).

Conclusions

White versus Black, Hispanic, or other racial or ethnic groups of patients were referred for preoperative cardiovascular evaluation in similar proportion. White patients underwent more preoperative cardiac testing yet had a shorter wait time for surgery. Early weight loss was greater in White patients, but equivalent between groups at 12 months.

Social Inequalities in Non-ischemic Cardiomyopathies

Heart failure (HF) has various characteristics, such as etiology, clinical course, and clinical characteristics. Several studies reported the clinical findings of the characteristics of non-ischemic cardiomyopathy. There have been issues with genetic, biochemical, or pathophysiological problems. Some studies have been conducted on non-ischemic cardiomyopathy and social factors, for instance, racial disparities in peripartum cardiomyopathy (PPCM) or the social setting of hypertrophic cardiomyopathy. However, there have been insufficient materials to consider the relationship between social factors and clinical course in non-ischemic cardiomyopathies. There were various methodologies in therapeutic interventions, such as pharmacological, surgical, or rehabilitational, and educational issues. However, interventions that could be closely associated with social inequality have not been sufficiently elucidated. We will summarize the effects of social equality, which could have a large impact on the development and progression of HF in non-ischemic cardiomyopathies.

Disparity and Multimorbidity in Heart Failure Patients Over the Age of 80

Background: Healthcare is currently struggling to provide access and coverage for an increasingly diverse aging population who frequently have multiple co-morbid conditions complicating their care and medical management. Methods: This retrospective study analyzed the prevalence and distribution of common co-morbid conditions (hypertension, dyslipidemia, dementia, and diabetes mellitus) in 316 elderly heart failure patients (age range 80–103; mean 87 ±4.9). Results: Chart review analysis showed a racial distribution of 65 African American versus 251 Caucasian patients (21 vs. 79%). Hypertension was comparable in both groups (98.5% African American vs. 92.4% Caucasian). Dyslipidemia, diabetes and dementia diagnoses were all approximately 20% higher in African American versus Caucasian patients. The concurrent presence of all four conditions was approximately three times more prevalent in African Americans (18.5%) versus Caucasians (7.2%). Conclusion: Our study is unique for studying disparity in octogenarian and nonagenarians residing in a rural setting. Our results also highlight the importance of making a special effort to engage older African American patients in seeking healthcare. In addition, strategies must be designed to reduce barriers that impede access and availability of resources and clinical care, especially in economically underserved regions of the country.

Race and Ethnicity in Heart Failure: JACC Focus Seminar 8/9

Heart failure (HF) affects >6 million Americans, with variations in incidence, prevalence, and clinical outcomes by race/ethnicity. Black adults have the highest risk for HF, with earlier age of onset and the highest risk of death and hospitalizations. The risk of hospitalizations for Hispanic patients is higher than White patients. Data on HF in Asian individuals are more limited. However, the higher burden of traditional cardiovascular risk factors, particularly among South Asian adults, is associated with increased risk of HF. The role of environmental, socioeconomic, and other social determinants of health, more likely for Black and Hispanic patients, are increasingly recognized as independent risk factors for HF and worse outcomes. Structural racism and implicit bias are drivers of health care disparities in the United States. This paper will review the clinical, physiological, and social determinants of HF risk, unique for race/ethnic minorities, and offer solutions to address systems of inequality that need to be recognized and dismantled/eradicated.

Evaluation of Racial and Ethnic Disparities in Cardiac Transplantation

Background Racial and ethnic disparities contribute to differences in access and outcomes for patients undergoing heart transplantation. We evaluated contemporary outcomes for heart transplantation stratified by race and ethnicity as well as the new 2018 allocation system. Methods and Results Adult heart recipients from 2011 to 2020 were identified in the United Network for Organ Sharing database and stratified into 3 groups: Black, Hispanic, and White. We analyzed recipient and donor characteristics, and outcomes. Among 32 353 patients (25% Black, 9% Hispanic, 66% White), Black and Hispanic patients were younger, more likely to be women and have diabetes mellitus or renal disease (all, P<0.05). Over the study period, the proportion of Black and Hispanic patients listed for transplant increased: 21.7% to 28.2% (P=0.003) and 7.7% to 9.0% (P=0.002), respectively. Compared with White patients, Black patients were less likely to undergo transplantation (adjusted hazard ratio [aHR], 0.87; CI, 0.84-0.90; P<0.001), but had a higher risk of post-transplant death (aHR, 1.14; CI, 1.04-1.24; P=0.004). There were no differences in transplantation likelihood or post-transplant mortality between Hispanic and White patients. Following the allocation system change, transplantation rates increased for all groups (P<0.05). However, Black patients still had a lower likelihood of transplantation than White patients (aHR, 0.90; CI, 0.79-0.99; P=0.024). Conclusions Although the proportion of Black and Hispanic patients listed for cardiac transplantation have increased, significant disparities remain. Compared with White patients, Black patients were less likely to be transplanted, even with the new allocation system, and had a higher risk of post-transplantation death.

Clinical outcomes of older adults listed for heart transplantation in the United States

OBJECTIVE

To examine if older age (>70 years) should be a relative contraindication for heart transplantation, we evaluated the characteristics and outcomes of patients with age ≥70 years listed for heart transplantation; and whether post-transplantation survival was inferior to younger counterparts.

DESIGN

Retrospective cohort analysis.

SETTING

The scientific registry of transplant recipients (SRTR).

PARTICIPANTS

Adults (≥18 years) listed for heart transplantation in the SRTR between 2000 and 2018.

INTERVENTIONS

Heart transplantation.

MEASUREMENTS

Characteristics and outcomes were compared for adults ≥70 years and <70 years. We evaluated waitlist mortality and post-transplant 1-year and 5-year survivals.

RESULTS

The study included 57,285 patients (age range 18-79 years) listed for heart transplantation; 1203 (2.1%) age ≥70 years. Of these, 37,135 patients underwent heart transplantation; 806 (2.2%) were age ≥70 years. Yearly listing of those age ≥70 years has consistently increased from 2.5% (n = 30) in 2000 to 11% (n = 132) in 2017 (p < 0.01). As compared with the age <70 years group, those ≥70 years had a similar risk of death while waiting (sub-hazard ratio [SHR] 0.86, 95% confidence interval [HR] 0.68-1.08; p = 0.19) but were more likely to be transplanted (SHR 1.36, 95% CI 1.26-1.48; p < 0.01). Among the older patients, the overall post-transplant 1- and 5-year mortality rate was 10.4% and 19.2%, respectively. Older recipients had lower unadjusted survival compared with younger recipients (log-rank p = 0.03). However, after adjustment for relevant covariates, there was no significant difference in 5-year mortality between both groups (HR 1.06, 95% CI 0.91-1.254; p = 0.43).

CONCLUSIONS

Post-transplant survival up to 5 years among patients of age ≥70 years was similar to that of younger recipients. Older patients who received heart transplantation appear to have lower risk features but receive hearts from higher risk donors. Chronologic age alone should not constitute a contraindication for heart transplantation, although careful patient selection criteria should be applied.