Literature DB >> 34913366

Inequity in Cardio-Oncology: Identifying Disparities in Cardiotoxicity and Links to Cardiac and Cancer Outcomes.

Rachel E Ohman1, Eric H Yang2, Melissa L Abel3.   

Abstract

Minority and underresourced communities experience disproportionately high rates of fatal cancer and cardiovascular disease. The intersection of these disparities within the multidisciplinary field of cardio-oncology is in critical need of examination, given the risk of perpetuating health inequities in the growing vulnerable population of patients with cancer and cardiovascular disease. This review identifies 13 cohort studies and 2 meta-analyses investigating disparate outcomes in treatment-associated cardiotoxicity and situates these data within the context of oncologic disparities, preexisting cardiovascular disparities, and potential system-level inequities. Black survivors of breast cancer have elevated risks of cardiotoxicity morbidity and mortality compared with White counterparts. Adolescent and young adult survivors of cancer with lower socioeconomic status experience worsened cardiovascular outcomes compared with those of higher socioeconomic status. Female patients treated with anthracyclines or radiation have higher risks of cardiotoxicity compared with male patients. Given the paucity of data, our understanding of these racial and ethnic, socioeconomic, and sex and gender disparities remains limited and large-scale studies are needed for elucidation. Prioritizing this research while addressing clinical trial inclusion and access to specialist care is paramount to reducing health inequity.

Entities:  

Keywords:  cardiotoxicity; cardio‐oncology; disparities; social determinants of health

Mesh:

Year:  2021        PMID: 34913366      PMCID: PMC9075267          DOI: 10.1161/JAHA.121.023852

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   6.106


American Indian and Alaska Native Asian and Pacific Islander adolescent and young adult Cardiovascular disease (CVD) and cancer are the leading causes of death in the United States, with a disproportionate burden of illness among Black patients, lower income communities, and other minority groups. , , , , Incidence and mortality disparities in cancer and CVD remain pervasive because of complex interactions of social determinants of health including social, economic, geographic, and cultural factors that affect underlying biology and health‐related behaviors. , , , , , , , , These social determinants of health are thought to be modulated by sex and gender and structural racism , —defined as economic, institutional, cultural, and historical forces that systematically advantage White populations and disadvantage racial and ethnic minority populations. Such disparities have been magnified by the COVID‐19 pandemic, which unevenly has affected underresourced communities and racial and ethnic minority patients in the United States. , , Cancer health disparities may be intertwined with cardiac outcomes, particularly given the rising overall incidence of cancer (owing to improved cancer screening and survival among common cancers) , , that coincides with the increasing prevalence of CVD among patients with cancer. Metabolic effects of malignancy, direct adverse effects of cancer therapeutics, and indirect effects of treatment (eg, physical deconditioning) have profound impacts on the cardiovascular health of patients with cancer. , , , Indeed, CVD has become a significant cause of morbidity and mortality among survivors of cancer. , For instance, among postmenopausal women with hormone receptor positive breast cancer, CVD has been shown to rival or exceed recurrent malignancy as the most common cause of death. Now with an estimated 16.9 million people in the United States living with a history of cancer, the prevalence of CVD among survivors of cancer continues to increase. The multidisciplinary field of cardio‐oncology has emerged to balance cancer treatment with the prevention and management of associated cardiac disease. Collaborations across oncology and cardiology have developed rapidly to address this imperative, with a growing understanding of the cardiotoxicity of cancer treatment in context of other cardiovascular risk factors. Preexisting cardiovascular risk factors and CVD are now known to be associated strongly with posttreatment cardiac dysfunction. , , , , Given the cross‐talk between cancer and cardiac disease, it is critical that we elucidate disparities in cardio‐oncology in order to improve health outcomes for the most vulnerable patients including Black populations and other minority populations with cancer. Unfortunately, our current understanding of intersectional disparities within cardio‐oncology is limited by a marked paucity of data. Two recently published reviews focus on racial and ethnic disparities in cardio‐oncology, , but our narrative review summarizes the available literature on disparities in cardiotoxicity outcomes across race and ethnicity, sex and gender, and socioeconomic status (SES) among patients with cancer in the United States. We situate these data in the context of disparities in cancer and preexisting CVD, as these bodies of knowledge provide important context for data interpretation. Studies to date on disparities in cardiotoxicity are limited in number and scope, but the available data presented here merit discussion to inform future investigations on disparities in cardio‐oncology and help create actionable strategies for equitable care.

Overview of Cancer Disparities

It is important for even the general cardiologist to understand basic cancer disparities together with cardiovascular ones given that most patients with cancer are more likely to have access to a general cardiologist than a cardio‐oncology specialist. Disparities exist across nearly all aspects of oncologic care from screening to survivorship. , On average, patients of lower SES have increased cancer incidence and decreased survival compared with their higher SES counterparts. Individual SES is shaped by a multitude of factors including education, employment status and occupation, income, wealth, and health insurance. Unfortunately, the socioeconomic gap in cancer appears to be widening: a 2017 longitudinal study of cancer mortality demonstrated that inequalities based on SES increased from 1979 to 2011, primarily because of disproportionally improved mortality for high SES patients. The impact of this widening gap is likely to be felt broadly given the rising overall incidence of cancer. Even after controlling for income, significant disparities persist for racial and ethnic minority patients with cancer in the United States. Within this review, we refer to “racial and ethnic” populations with the understanding that race and ethnicity are social constructs that reference diverse groups of people. Racial and ethnic minority populations are categorized by the US Office of Management and Budget into Black populations, Hispanic/Latino populations (referred to as Hispanic/Latinx in this review), Asian populations and Native Hawaiian/other Pacific Islander populations (referred to as Asian and Pacific Islander in this review), and American Indian and Alaska Native (AIAN) populations, though it bears noting that this grouping does not address ancestry, genetic admixture, immigration status, or regional communities. For most cancers, White patients are more likely than patients of other races and ethnicities to be diagnosed at earlier stages, receive aggressive care, and have improved chances of survival even when accounting for staging. , , , Survival rates are lower for Black patients and AIAN patients in comparison to White patients for each major type of cancer except for renal and pancreatic cancer, for which mortality is approximately the same. Although there are some instances of genetic differences in tumor biology (eg, the increased incidence of triple hormone receptor negative breast cancer in Black women), tumor genetics do not equate germline genetics and differential treatment responses alone do not account for racial and ethnic disparities in cancer outcomes. , Similarly, SES alone does not account for racial and ethnic cancer disparities. Various other social determinants of health including environmental pollution exposures, neighborhood safety‐related concerns, and perceived racial discrimination have been implicated in these disparities, , , influenced by ongoing structural racism. , Sex and gender disparities as well as geographic disparities also persist among patients with cancer. Male patients across different races/ethnicities and ages continue to have increased rates of cancer and worsened prognosis in comparison to female patients. The reasons for this are not understood completely but are thought to reflect differences in health‐related behaviors, comorbid risk factors, and sex hormones. , Geographic disparities are most prominent among highly preventable cancers including lung and cervical cancer, reflecting the influences of existing risk factors, health‐related behaviors, and regional screening practices.

Disparities in Preexisting Cardiovascular Disease

Disparities within preexisting cardiovascular risk factors and CVD must be addressed given their strong association with posttreatment cardiac dysfunction. , , , , Additionally, understanding cardiovascular disparities may provide valuable insight for discussions on understudied disparities in cardio‐oncology. Despite a decline in cardiovascular mortality nationwide, the burden of CVD remains disparately distributed among underresourced communities and racial and ethnic minority populations. , , These disparities are discussed comprehensively in recent scientific statements and advisories from the American Heart Association, , , , , , in a recent workshop from the National Heart, Lung, and Blood Institute, and most recently in a comprehensive narrative review. Race and ethnicity, SES, neighborhood resources and environmental features, sex and gender, and cultural factors including psychosocial stress (eg, from racial discrimination), acculturation among immigrant communities, and social cohesion have been associated with disparate incidence and mortality from CVD. , , , , , , , , As described in a recent American Heart Association presidential advisory, these factors are in turn influenced by structural racism. Forces of structural racism as well as other forms of racism, including interpersonal, are known to have downstream effects that modulate social determinants of health and perpetuate social, economic, and health inequities in general as well as cardiovascular health. , , , However, racism is infrequently named in published literature as a contributor to health disparities, and little research has been done to evaluate in detail its effects on health. , Some genome‐wide association studies have identified genetic loci differentially associated with CVD in Black populations and AIAN populations as well as some polymorphisms associated with CVD across racial and ethnic groups, but these data must be considered in context of the variability of results from replication studies, complex interaction between genes and environment, and risks of overattributing importance to genetic risk alleles at the expense of addressing significant contributions from social and structural determinants of health. , , Black populations bear a disproportionately high burden of CVD and associated cardiovascular risk factors when compared with White counterparts. , Black patients have been shown to have earlier ages of onset as well as higher incidence of hypertension, dyslipidemia, diabetes, and obesity when compared with White patients. They also have been shown to experience earlier onset as well as higher incidence and mortality of heart failure, sudden cardiac arrest, cerebrovascular disease, and peripheral arterial disease. Additionally, they have experienced smaller decreases in the incidence of coronary artery disease in comparison to White populations. These disparities have been associated with a multitude of factors including SES and other social determinants of health. , However, persistence of these disparities among Black patients across the socioeconomic spectrum also implicates social epigenetic factors including psychosocial stress from racial discrimination and structural racism itself, although the scope of its impact requires further investigation as mentioned previously. In addition to explicit forms of racism, implicit bias continues to contribute to disparities. For example, Black patients are less likely than White counterparts to receive cardiac catheterization for suspected angina and, together with other racial and ethnic minority patients, are less likely than White patients to receive cardiopulmonary resuscitation for out‐of‐hospital arrest. Genetic differences alone do not explain these differences for the reasons mentioned previously, as well as the clear genetic heterogeneity and admixture among populations of African descent. , Disparities among Hispanic/Latinx as well as Asian and Pacific Islander (API) populations are masked by the reporting of disparities data in aggregate. Although some studies have shown a lower incidence of CVD among Hispanic/Latinx populations, recent discussions have emphasized the heterogeneity among this population and the variability of cardiac risk profiles among groups of different national origin or ancestral heritage. , , Preliminary investigations suggest contributions from social determinants of health including language discordance, health literacy, cultural traditions, and psychosocial stress from perceived discrimination. Heterogeneity among people of API descent also continues to be masked by surveys and studies that gather data on API patients in aggregate. Among immigrant Hispanic/Latinx populations as well as immigrant API populations born outside the United States, acculturation and duration of US residence have been associated with worsened cardiovascular risk factors and CVD. , However, the direct relationship between social determinants of health, perceived discrimination, acculturation, and structural racism has not been explored for any of these groups. , , AIAN populations experience the highest morbidity and mortality from CVD of any subgroup in the United States. , These populations share the same traditional cardiovascular risk factors as other groups, but with some distinctions: among AIAN populations, diabetes is the single‐most important risk factor for CVD, with a 3‐fold elevated risk of diabetes in comparison to White populations. Additionally, renal impairment is a unique independent risk factor for predicting CVD. Common social determinants of health including poverty, education, unemployment, and housing also affect CVD in this population, as well as distinct environmental factors including toxic metal exposure and groundwater contamination. The influence of governmental exploitation and structural discrimination has been referenced in relation to these CVD disparities but has not been investigated comprehensively. The absolute numbers of women living with and dying from CVD are greater than those for men, and coronary artery disease mortality rates are rising for women aged 35 to 44 years. Although women and men share the same cardiovascular risk factors, the prevalence of some risk factors differ: women older than 65 years old and women older than 20 years old have a higher prevalence than men for hypertension and diabetes, respectively. Additionally, rates of physical inactivity are higher for women than men. These differences may be influenced by gender‐based health behaviors. Additionally, psychosocial stress from marital tension and the stress of traditional caregiving gender roles may contribute to cardiovascular risk factors. Upstream factors of sexism also have been associated with increased risk of posttraumatic stress disorder, psychosocial stress, and health‐related behaviors like alcohol and tobacco use. , In the medical domain, inadequate treatment by providers in the management of acute and chronic cardiac disease may also be contributing to sex and gender disparities. Women with known coronary artery disease are less likely to be on appropriate lipid‐lowering therapy and aspirin for secondary prevention. , Although women are more likely to be treated for hypertension than men, they have achieved poorer levels of blood pressure control when matched for age, ethnicity, and comorbidities. Women are also less likely to achieve a hemoglobin A1c target of <7% for appropriate diabetes control and cardiac risk mitigation. It is well‐established that the clinical presentation and inpatient treatment of acute coronary syndrome differs between men and women, and several studies have demonstrated that fewer women are started on evidence‐based secondary prevention medications on discharge. The reasons for these examples of substandard treatment need to be explored further, but implicit bias may play a contributory role. Implicit bias has been shown to influence gender‐based decision‐making in coronary artery disease, , but additional research is needed. The persistence of race and ethnicity, socioeconomic, and sex and gender disparities among patients with CVD is deeply concerning, and raises the alarm for parallel disparities in interdisciplinary areas of medical care including cardio‐oncology.

Cardio‐Oncology

Although many studies on treatment‐associated cardiotoxicity primarily define this entity as clinical heart failure and/or radiographic measurements of left ventricular systolic dysfunction, possible adverse short‐ and long‐term cardiovascular effects encompass systolic and/or diastolic dysfunction, valvular disease, conduction abnormalities, coronary artery disease, impaired cardiac remodeling, disrupted mechanisms of cardiac homeostasis, vascular disease, and thrombosis. , Such adverse effects have been associated with nearly all categories of cancer therapy. To inform our discussion of disparities in treatment‐associated cardiotoxicity, the most common and clinically relevant cardiotoxicity manifestations are summarized here (Table 1). , , , , , , , Comprehensively documenting the heterogeneous spectrum of short‐ and long‐term cardiotoxicities seen in both historical and novel cancer therapeutics is beyond the scope of this review; these cardiotoxicities are described elsewhere. , , , , , , ,
Table 1

Cardiotoxicities Associated With Common Cancer Therapeutics

ChemotherapyCardiotoxicity (relative incidence*)
Anthracyclines
Doxorubicin/DaunorubicinHeart failure/left ventricular dysfunction (common), arrhythmias
EpirubicinHeart failure/left ventricular dysfunction (common)
Antimetabolites
5‐FluorouracilCardiac ischemia (intermediate), arrhythmias, angina, heart failure
MethotrexatePericardial effusion
CapecitabineCardiac ischemia (intermediate)
Platinum‐based
CisplatinArrhythmias (rare), angina (rare)
Microtubule inhibitors
PaclitaxelHeart failure/left ventricular dysfunction (intermediate), cardiac ischemia (rare), QTc prolongation (rare), arrhythmia (rare)
DocetaxelHeart failure/left ventricular dysfunction (intermediate), cardiac ischemia (rare)
Alkylating agents
CyclophosphamideHeart failure/left ventricular dysfunction (intermediate), angina
IfosfamideHeart failure/left ventricular dysfunction (rare), arrhythmias
MitomycinHeart failure (common)
Immunotherapy
Monoclonal antibodies
Trastuzumab (HER‐2)Heart failure (intermediate‐common), hypertension (intermediate)
Bevacizumab (vascular endothelial growth factor)Hypertension (common), myocardial ischemia (intermediate‐common), heart failure (intermediate)
Rituximab (CD‐20)Arrhythmia, heart failure, myocardial ischemia
Immune checkpoint inhibitors
Pembrolizumab/Nivolumab (PD‐1)Myocarditis/pericarditis (intermediate, more common with combined immune checkpoint inhibitor therapy), heart failure (rare), arrhythmias (rare), pericardial disease (rare), atherosclerotic disease
Ipilimumab (CTLA‐4)
Chimeric antigen T‐cell therapies
TisagenlecleucelArrhythmia (common), ventricular dysfunction (common)
Axicabtagene ciloleucel
Tyrosine kinase inhibitors
ImatinibHeart failure (rare), arrhythmias (rare)
DasatinibHeart failure (common), pulmonary hypertension (rare)
NilotinibHeart failure, myocardial ischemia (common), QT prolongation (intermediate)
SunitinibHypertension (common), heart failure (intermediate‐common)
SorafenibHypertension (common), heart failure (intermediate‐common)
PonatinibMyocardial ischemia (common), hypertension (common), heart failure (intermediate‐common), arrhythmias (intermediate), peripheral vascular disease
Proteasome inhibitors
BortezomibHeart failure (intermediate‐common), arrhythmia, myocardial ischemia
Thoracic radiation Myocardial ischemia (common), conduction abnormalities (common), peripheral vascular disease (common), heart failure (common), valvular disease (intermediate‐common), pericardial disease (intermediate)

*When possible, the incidence of each reported cardiotoxicity is categorized as rare <1%, intermediate 1% to 5%, or common >5%. However, the incidence of many toxicities cannot be determined reliably owing to insufficient data.

†Occur in setting of cytokine release syndrome.

‡The overall incidence of radiation‐induced cardiotoxicity varies depending on dose and historical era. Incidence of fatal radiation‐associated cardiotoxicity is estimated at 1% to 7%.

References: 61, 62, 63, 64, 65, 66, 67, 68.

Cardiotoxicities Associated With Common Cancer Therapeutics *When possible, the incidence of each reported cardiotoxicity is categorized as rare <1%, intermediate 1% to 5%, or common >5%. However, the incidence of many toxicities cannot be determined reliably owing to insufficient data. †Occur in setting of cytokine release syndrome. ‡The overall incidence of radiation‐induced cardiotoxicity varies depending on dose and historical era. Incidence of fatal radiation‐associated cardiotoxicity is estimated at 1% to 7%. References: 61, 62, 63, 64, 65, 66, 67, 68. In the available guidelines for the prevention, screening, surveillance, and attenuation of cancer treatment‐associated cardiotoxicity from the American Society of Clinical Oncology, European Society of Medical Oncology, and the American Heart Association, the identification of patients at elevated risk is viewed as the first step in reducing cardiotoxicity. In identifying these patients, it is imperative to recognize which patients have predisposing cardiovascular risk factors and preexisting cardiac disease. Age as well as preexisting diabetes, hypertension, hyperlipidemia, and tobacco smoking have been associated with an increased risk of cardiac dysfunction among patients with cancer treated with anthracyclines or trastuzumab. , , , A large‐scale retrospective study found that among patients treated for breast cancer, lung cancer, multiple myeloma, and non‐Hodgkin lymphoma, the presence of 2 or more cardiovascular risk factors conferred an even higher risk of post‐treatment CVD. The presence of preexisting reduced systolic function and coronary artery disease has also been linked to increased rates of treatment‐associated cardiotoxicity. , , The shared risk factors for cancer and CVD are thought to influence the pathogenesis of both disease entities as well as treatment‐associated cardiotoxicity. ,

Risks of System‐Level Inequity in Cardio‐Oncology: Access to Specialty Care

We suspect that the screening, surveillance, and management of treatment‐associated cardiotoxicity is influenced by social and structural determinants of health including health insurance status, geographic distance from specialty care, and transportation barriers. Many people with cancer still do not have access to health insurance: among states that did not pursue Affordable Care Act Medicaid expansions, 1 in 5 survivors of cancer remains uninsured. Even among those with insurance, cardio‐oncology specialists are not readily accessible to most people. Despite the rapid growth of the field, specialized cardio‐oncology training and patient access to cardio‐oncology care is still limited world‐ and nationwide. Indeed, few cardiology fellowships offer formal training in cardio‐oncology and institutions with cardio‐oncology services are clustered geographically in the Northeast and California. Even in communities with access to cardio‐oncology providers, some patients may face local barriers to transportation that can impede regular access to specialist care. Among the general population in the United States, transportation barriers to medical care have been shown to have a disproportionately powerful influence on patients of lower SES and those with chronic conditions. Ultimately, patients with cancer may find it difficult to access cardio‐oncology care because of inadequate insurance coverage, distance from cardio‐oncology providers, and barriers to transportation. The degree to which these barriers mediate disparities in cardiotoxicity screening and management must be explored further.

Risks of System‐Level Inequity in Cardio‐Oncology: Cost Differentials for Treatment With Reduced Cardiotoxicity

Among strategies for cardiotoxicity prevention, additional socioeconomic factors may contribute to cardiotoxicity disparities. Liposomal doxorubicin (used for multiple myeloma, Kaposi’s sarcoma, ovarian cancer, and breast cancer) has been associated with lower rates of reduced left ventricular ejection fraction and clinical heart failure , but is substantially more expensive than standard formulations. Continuous infusion of anthracycline therapy has been associated with lower risks of subclinical and clinical cardiotoxicity but comes with elevated costs. The degree to which these cost differentials for less cardiotoxic therapies contribute to disparate cardiac outcomes among patients with cancer is not yet known.

Risks of System‐Level Inequity in Cardio‐Oncology: Inadequate Representation in Clinical Trials

We suspect that inadequate representation of diverse study participants in clinical studies on cardioprotective strategies for prevention of treatment‐associated cardiotoxicity may also contribute to outcome disparities. It is well‐established that racial and ethnic minority patients have been underrepresented in seminal clinical trials that resulted in Food and Drug Administration drug approvals for cancer therapeutics. Cardioprotection studies have investigated neurohormonal agents (including angiotensin‐converting enzyme inhibitors, angiotensin II receptor blockers, and beta blockers), statins, exercise, and dexrazoxane. Only 21% of identified cohort studies and clinical trials on cardioprotective therapies provide either demographic information on the race and ethnicity of study participants or demographic information on participants’ socioeconomic status or other social determinants of health, though it does bear noting that some of the included studies were conducted in European countries with universal health care (Table S1). , , , , , , , , , , , , , , , , , , , , , , , , , , , , In accordance with the National Institutes of Health Revitalization Act, achieving diverse representation in clinical trials on cardioprotective therapies must be made a priority. Doing so will require direct targeting of known barriers to clinical trial enrollment (including patient trust, healthcare access, education, and communication) as well as explorations of factors specific to cardioprotection studies.

Risks of System‐Level Inequity in Cardio‐Oncology: Patient Distrust

Additional investigation is needed on the impact of healthcare system distrust on cardio‐oncology care delivery. Many racial and ethnic minority populations in the United States have developed distrust of institutionalized healthcare settings, influenced by the history of slavery, living legacy of oppression, and exploitation of Black and brown bodies in instances such as the Tuskegee syphilis experiment and government‐sanctioned coerced sterilization of women of color, immigrants, and people with disabilities during the eugenics movement in the United States. Medical distrust has been associated with decreased participation in clinical research and decreased use of general healthcare services as well as oncologic care. , , The unstudied impact of medical distrust on participations in cardio‐oncology care is of great concern. Specifically, we must investigate how patient distrust shapes participation in preventative cardiotoxicity screening as well as treatment for detected cardiac dysfunction in the context of noxious medical and radiation treatments for cancer.

Disparities in Cardio‐Oncology

There are limited data on outcome disparities in treatment‐related cardiotoxicity. Our literature review identified 13 observational cohort studies and 2 systematic reviews with meta‐analyses. Most of the studies identified in our review addressed disparate outcomes according to race and ethnicity among patients with breast cancer. Few investigations have examined disparities in other types of cancer or among other underrepresented groups. The major findings on outcomes disparities in treatment‐associated cardiotoxicity are presented in the following sections and summarized visually (Figure 1).
Figure 1

Disparities in cardio‐oncology.

A visual summary of disparities in cardio‐oncology with a depiction of contributing etiologies. This figure demonstrates the influence of upstream factors (including structural racism and sexism) and intermediary factors (including social and structural determinants of health as well as clinical inequities in cardio‐oncology) on preexisting CVD and cancer disparities in the context of cardio‐oncologic care and summarizes the major outcome disparities in cardiotoxicity from studies presented in this review. API indicates Asian and Pacific Islander; CV, cardiovascular; CVD, cardiovascular disease; and SES, socioeconomic status. Created by biorender.com.

Disparities in cardio‐oncology.

A visual summary of disparities in cardio‐oncology with a depiction of contributing etiologies. This figure demonstrates the influence of upstream factors (including structural racism and sexism) and intermediary factors (including social and structural determinants of health as well as clinical inequities in cardio‐oncology) on preexisting CVD and cancer disparities in the context of cardio‐oncologic care and summarizes the major outcome disparities in cardiotoxicity from studies presented in this review. API indicates Asian and Pacific Islander; CV, cardiovascular; CVD, cardiovascular disease; and SES, socioeconomic status. Created by biorender.com.

Race and Ethnicity Disparities Among Black Patients With Cancer and Asian and Pacific Islander Patients With Cancer

Most studies to date explore differences in cardiovascular outcomes between Black and White patients with breast cancer. Black women diagnosed with breast cancer are 40% more likely to die than their White counterparts. Differences in cardiotoxicity are hypothesized to contribute to this disparity, particularly as Black women are more likely to have underlying CVD and more frequently have high‐risk cancer requiring cardiotoxic treatment. Available research on this topic collectively supports this hypothesis (Table 2, , , , , , , , , and summarized in Figure 1). Black patients with HER2+ breast cancer treated with trastuzumab are more likely to develop cardiotoxicity as defined by declines in left ventricular ejection fraction. , In a retrospective cohort study at Johns Hopkins University, this risk persisted even after controlling for age, disease state, and cardiovascular risk factors, although it is not clear that the degree of risk factor control was evaluated. Importantly, the development of cardiotoxicity correlated strongly with treatment cessation. An earlier retrospective cohort study at Howard University also found that Black patients treated with doxorubicin were more likely than non‐Black patients to develop early cardiotoxicity, although these patients were compared with non‐Black control subjects in a separate cohort study. A national multicenter prospective cohort study of patients with metastatic HER2+ breast cancer found that Black patients with diabetes or hypertension were more likely to experience cardiotoxicity after trastuzumab compared with White counterparts with the same conditions, although levels of statistical significance were not reported. In a meta‐analysis of 18 studies across North America and Europe in which patients were treated with anthracycline therapy for a variety of cancers, Black race as well as cardiovascular risk factors were independent predictors of clinical and subclinical cardiotoxicity ; this analysis is not shown in Table 2.
Table 2

Cardiotoxicity Disparities by Race and Ethnicity Among Patients With Breast Cancer

Author, setting, sample*, follow‐upDiagnosis/treatmentStudy designResultsConclusions

Hasan, 2004 125

Howard University

Black n=100

Non‐Black n=399 (from separate study)

Median follow‐up: 1.3 y

Breast cancer treated with doxorubicinRetrospective cohort study measuring development of congestive heart failure or LVEF ≤45%Higher incidence of cardiotoxicity among Black patients in registry in comparison to control population of non‐Black patients (7/100 in comparison to 10/399, P<0.027 with OR, 2.93; 95% CI, 0.98–8.6)Black patients with breast cancer developed early cardiotoxicity after treatment with doxorubicin more frequently than non‐Black controls

Braithwaite, 2009 126

Kaiser Permanente Northern California

White n=838

Black n=416

Mean follow‐up: 9 y

Invasive breast cancer, any treatmentRetrospective cohort study comparing overall crude mortality and breast cancer mortalityHigher all‐cause mortality in Black patients compared with White patients (165 [39.7%] vs 279 [33.3%], P=0.03). Hypertension was associated with lower all‐cause survival after controlling for race, age, tumor characteristics, and treatment (HR, 1.33; 95% CI, 1.07–1.67). Hypertension alone explained 30.3% of racial disparity in all‐cause survivalHypertension is an independent predictor of the survival disparity between Black and White survivors of invasive breast cancer

Rugo, 2013 127

Multicenter (United States)

White n=793

Black n=126

Median follow‐up: 27 mo

Metastatic HER2+ breast cancer treated with trastuzumabProspective cohort study measuring cardiac safety events as well as progression‐free and overall survivalHigher incidence of cardiac safety events among Black patients with diabetes, hypertension, or CVD who were treated with trastuzumab in comparison to White patients with the same conditions: 3/15 (20%) Black vs 4/48 (8.3%) White patients with diabetes; 2/14 (14.2%) Black vs 2/29 (6.9%) White patients with hypertension; 5/36 (13.9%) Black/African American vs 12/117 (10.3%) White patients with any CVDMore Black patients with HER2+ breast cancer and cardiovascular risk factors (diabetes, hypertension) or CVD experienced cardiotoxicity following treatment with trastuzumab compared with White counterparts with the same conditions, although statistical significance was not reported

Baron, 2014 128

University of Maryland

Black n=48

White n=25

Hispanic/Latinx or API n=3

Follow‐up: every 3 mo up to 12 mo after treatment (mean not reported)

Stage I to IV HER2+ breast cancer treated with trastuzumabRetrospective cohort study measuring decline in LVEF over first year after treatmentMore Black patients than White patients experienced decreased LVEF (17 vs 4 patients of total 21, P<0.05). No significant difference in cardiovascular risk factors or adjunctive treatment with anthracycline or radiation between patients with and without LVEF declineBlack patients with HER2+ breast cancer developed reduced ejection fraction following treatment with trastuzumab more frequently than White patients

Berkman, 2014 129

Multicenter (United States), SEER

White n=54 518

Other n=6487

Black n=6113

Unknown n=401

Follow up: 1, 5, 10, 20 y post‐diagnosis (mean not reported)

DCIS, any treatmentRetrospective cohort study comparing cardiovascular, breast cancer, and all‐cause mortalitiesHigher hazard of cardiovascular death in Black survivors of breast cancer compared with White survivors breast cancer with DCIS at ages 40–49, 50–59, and 60–69 (HR, 14.99; 95% CI, 5.39–41.67; HR, 6.43; 95% CI, 3.61–11.46; HR, 2.26; 95% CI, 1.63–3.14). No significant difference in hazard of cardiovascular death between Black and White patients 70 y and olderBlack survivors of DCIS had a higher risk of mortality from CVD, with a more pronounced effect in younger patients

Solanki, 2016 130

Multicenter (United States), SEER

White n=462 005

API n=44 531

Follow‐up: Through 2012 for diagnoses between 1991 and 2001 (mean not reported)

Stage I to III invasive breast cancer, any treatmentRetrospective cohort study comparing cardiovascular, breast cancer, and all‐cause mortalitiesMortality rates varied by national origin. Filipino, Asian Indian and Pakistani, and Pacific Islander groups had a risk of cardiovascular mortality similar to White women. Hawaiian women had a higher risk of cardiovascular mortality (HR, 1.43; 95% CI, 1.17–1.75) compared with White women. US‐born API survivors of breast cancer had higher risk of cardiovascular mortality (HR, 1.29; 95% CI, 1.08–1.54) compared with immigrant API survivors of breast cancerDespite reports of lower mortality risks among API patients in aggregate, risks of cardiovascular mortality among API survivors of breast cancer vary according to national origin and immigration status

Litvak, 2018 131

Sidney Kimmel Cancer Center, Johns Hopkins

White n=157

Black n=59

Median follow‐up: 5.2 y

Stage I to III HER2+ breast cancer treated with trastuzumabRetrospective cohort study measuring decline in LVEF and rates of incomplete therapyHigher 1‐y probability of LVEF decline among Black women (24%, 95% CI, 12–34%) in comparison to White women (7%, 95% CI, 3–11%). Race was significant predictor of cardiotoxicity even after controlling for patient age, disease state, receipt of anthracycline, and presence of other cardiovascular risk factors (HR, 2.73; 95% CI, 1.24–6.01, P=0.012). Black patients had greater probability of incomplete therapy compared with White patients (OR, 4.61; 95% CI, 1.70–13.07; P=0.002). High correlation was observed between cardiotoxicity and incomplete therapy (96% concordance)Black survivors of HER2+ breast cancer had higher risk of cardiotoxicity following treatment with trastuzumab even after controlling for age, disease state, and cardiovascular risk factors, with cardiotoxicity correlating with more frequent treatment cessation

Troeschel, 2019 132

Multicenter (United States), SEER

White n=364 025

Black n=43 562

Median follow‐up: 6.7 y

Invasive breast cancer, any treatmentRetrospective cohort study comparing incidence and hazard of CVD mortality20‐y cumulative incidence of CVD mortality was higher in Black patients compared with White patients in groups age <69 (13.3% vs 8.9%). Hazard of CVD mortality was 173% higher in Black patients age <55 (HR, 2.73; 95% CI, 2.42–3.08) and 72% higher in age 55–68 compared with White patients (HR, 1.72; 95% CI, 1.60–1.85). Similar hazard detected among women 69 y and olderBlack survivors of breast cancer had a higher risk of mortality from CVD, with a more pronounced effect in younger patients

Collin, 2020 133

Georgia Cancer Registry

White n=4923

Black n=3580

Follow‐up: Until 2018 for diagnoses between 2010 and 2014 (mean not reported)

Invasive breast cancer, any treatmentProspective cohort study comparing hazards of CVD mortality following treatment with hormone therapy or chemotherapyHormone therapy was associated with a nonsignificant higher hazard of CVD mortality among Black women (HR, 2.18; 95% CI, 0.78–6.12) but not in White women (HR, 0.66; 95% CI, 0.39–1.13). Chemotherapy was associated with a nonsignificant higher hazard among Black (HR, 1.45; 95% CI, 0.60–3.51) but not among White women (HR, 0.86; 95% CI, 0.40–1.88). Neither result reached statistical significanceTreatment with hormone therapy or chemotherapy may contribute to the CVD mortality disparities between Black and White survivors of breast cancer, but results in this study did not reach statistical significance

API indicates Asian and Pacific Islander; CVD, cardiovascular disease; DCIS, ductal carcinoma in situ; HR, hazard ratio; LVEF, left ventricle ejection fraction; OR, odds ratio, and SEER, Surveillance, Epidemiology and End Results (national cancer registry).

*For brevity, patients described in the referenced studies as Black, African American, African‐American, or Non‐Hispanic Black are referred to as Black. Patients described as non‐Hispanic White in the referenced studies are referred to as White.

†Measures of statistical significance not reported.

‡Study authors included a category of “Other” but did not provide additional details about the participant races or ethnicities.

References: 125, 126, 127, 128, 129, 130, 131, 132, 133.

Cardiotoxicity Disparities by Race and Ethnicity Among Patients With Breast Cancer Hasan, 2004 Howard University Black n=100 Non‐Black n=399 (from separate study) Median follow‐up: 1.3 y Braithwaite, 2009 Kaiser Permanente Northern California White n=838 Black n=416 Mean follow‐up: 9 y Rugo, 2013 Multicenter (United States) White n=793 Black n=126 Median follow‐up: 27 mo Baron, 2014 University of Maryland Black n=48 White n=25 Hispanic/Latinx or API n=3 Follow‐up: every 3 mo up to 12 mo after treatment (mean not reported) Berkman, 2014 Multicenter (United States), SEER White n=54 518 Other=6487 Black n=6113 Unknown n=401 Follow up: 1, 5, 10, 20 y post‐diagnosis (mean not reported) Solanki, 2016 Multicenter (United States), SEER White n=462 005 API n=44 531 Follow‐up: Through 2012 for diagnoses between 1991 and 2001 (mean not reported) Litvak, 2018 Sidney Kimmel Cancer Center, Johns Hopkins White n=157 Black n=59 Median follow‐up: 5.2 y Troeschel, 2019 Multicenter (United States), SEER White n=364 025 Black n=43 562 Median follow‐up: 6.7 y Collin, 2020 Georgia Cancer Registry White n=4923 Black n=3580 Follow‐up: Until 2018 for diagnoses between 2010 and 2014 (mean not reported) API indicates Asian and Pacific Islander; CVD, cardiovascular disease; DCIS, ductal carcinoma in situ; HR, hazard ratio; LVEF, left ventricle ejection fraction; OR, odds ratio, and SEER, Surveillance, Epidemiology and End Results (national cancer registry). *For brevity, patients described in the referenced studies as Black, African American, African‐American, or Non‐Hispanic Black are referred to as Black. Patients described as non‐Hispanic White in the referenced studies are referred to as White. †Measures of statistical significance not reported. ‡Study authors included a category of “Other” but did not provide additional details about the participant races or ethnicities. References: 125, 126, 127, 128, 129, 130, 131, 132, 133. Mortality from CVD among Black patients with breast cancer is strikingly elevated (summarized in Figure 1). One of the largest studies on this topic used SEER (Surveillance, Epidemiology, and End Results) data to compare death from breast cancer and CVD retrospectively between 43 562 Black and 364 025 White patients with invasive breast cancer. Note that these groups were characterized as non‐Hispanic Black and White patients. The results showed that the cumulative incidence of CVD‐related mortality was significantly higher among Black patients in comparison to White patients in age groups under 69, with cumulative incidences reported up to time points of 25 years. There was no difference in CVD‐related mortality between Black and White patients 69 years and older. After accounting for the influence of other causes of death on CVD‐related mortality, Black patients were observed to have 173% higher hazard of CVD‐related mortality for ages <55 years and 72% higher hazard of CVD‐related mortality for ages 55 to 68. This difference in mortality between White and Black patients with breast cancer is greater than the difference in CVD‐related mortality between Black and White patients in the general population. Similar results were obtained in a different retrospective cohort study using SEER data from patients with ductal carcinoma in situ. This survival disparity may be due partially to differences in preexisting cardiovascular risk factors: in a regional retrospective cohort study among 1254 patients with invasive breast cancer, hypertension was an independent predictor of the survival disparity between Black American and White survivors. Preliminary research suggests that cardiovascular risk among API patients with breast cancer varies by national origin and immigration status (included in Table 2 and summarized in Figure 1). A retrospective cohort study used SEER registry data to investigate mortality differences among 44 531 API patients with invasive breast cancer in comparison to 462 005 White counterparts. Although API patients in aggregate had lower risks of CVD‐related mortality, breast cancer mortality, and all‐cause mortality, Hawaiian women had a higher hazard of cardiovascular mortality compared with White patients. Pacific Islander women had elevated risk for breast cancer‐specific and all‐cause mortalities in comparison to White women. The grouping of API patients together in clinical research may mask such underlying disparities, and groups at higher risk such as Hawaiian and Pacific Islander women may need additional screening. Interestingly, US‐born API survivors of breast cancer were found to have a higher hazard of cardiovascular mortality when compared with immigrant API survivors of breast cancer. The effects of acculturation and associated lifestyle changes likely contribute to the higher risk of CVD among API women born in the United States.

Socioeconomic Disparities Among Patients With Cancer

There are even fewer published studies on socioeconomic disparities in treatment‐associated cardiotoxicity, although preliminary data demonstrate the impact of health insurance status, poverty, and geographic region (summarized in Figure 1). Among adolescent and young adult (AYA) survivors of various types of cancer, Black race as well as lower SES have been associated independently with increased risks of CVD and CVD‐associated mortality. In a retrospective cohort study of 79 167 survivors of AYA cancer ages 15 to 39 years old, Black patients had an elevated risk of CVD in comparison to White patients (hazard ratio [HR], 1.55; 95% CI, 1.33–1.81). Cancer types included breast cancer, thyroid cancer, melanoma, testicular cancer, Hodgkin lymphoma, non‐Hodgkin lymphoma, acute lymphoid leukemia, acute myeloid leukemia, soft tissue sarcoma, bone sarcoma, colorectal cancer, central nervous system cancer, cervical cancer, and ovarian cancer. Additionally, uninsured or publicly insured patients had an elevated risk of CVD in comparison to patients with private or military insurance (HR, 1.78; 95% CI, 1.61–1.96), and those who resided in lower SES neighborhoods had increased risks of CVD in comparison to patients living in the highest SES neighborhoods (HR, 1.66; 95% CI, 1.42–1.93). An even larger retrospective cohort study from SEER registry data among 242 940 AYA women and 158 347 AYA men with a broad spectrum of primary malignancies found that increasingly severe degrees of poverty were associated with increased risks of CVD mortality even after adjusting for race and ethnicity (HR, 1.18; 95% CI, 1.01–1.38 for quartile 2; HR, 1.37; 95% CI, 1.18–1.60 for quartile 3; HR, 1.41; 95% CI, 1.17–1.70 for quartile 4 below poverty line for women; HR, 1.11; 95% CI, 0.96–1.29 for quartile 2; HR, 1.35; 95% CI, 1.16–1.57 for quartile 3; and HR, 1.31; 95% CI, 1.09–1.58 for quartile 4 below the poverty line for men). Additionally, education below high school levels was associated with increased risks of CVD mortality among both AYA women and men with cancer even after adjusting for race and ethnicity. Geographic region was also found to have a significant impact: AYA patients residing in the South had increased risks of CVD mortality in comparison to patients living in the Northeast (HR, 1.40; 95% CI, 1.15–1.71 for AYA women and HR, 1.42; 95% CI, 1.16–1.73 for AYA men); no other regions demonstrated significant differences.

Sex and Gender Disparities Among Patients With Cancer

There is a notable paucity of published studies on cardiotoxicity outcome disparities according to sex and gender (Table 3, , , and summarized in Figure 1). A retrospective cohort study of 6493 survivors of various childhood cancers treated with anthracycline therapy found that risk factors for early cardiotoxicity included female sex (relative risk, 1.89; 95% CI, 1.28–2.78, P<0.01) and Black race and ethnicity (relative risk, 1.68; 95% CI, 1.06–2.66, P=0.03). Notably, White patients made up 75% of this study. A smaller retrospective cohort study of pediatric survivors of cancer treated with doxorubicin showed that 45% of female patients developed depressed contractility compared with 12% of male patients. This disparate cardiotoxicity incidence widened with higher cumulative doses of doxorubicin. Similarly, a recent meta‐analysis of 10 observational studies among patients receiving radiation for Hodgkin lymphoma discovered sex and gender disparities for cardiovascular mortality. Women had an aggregate incidence of life‐threatening cardiovascular events and mortality almost 4 times higher than men. However, this study did not match male and female patients by radiation therapy dose, age of cancer diagnosis, or method of cardiotoxicity diagnosis. Additionally, none of the 3 mentioned studies presented data on preexisting CVD or risk factors, nor did they control for other covariates such as SES or healthcare access.
Table 3

Cardiotoxicity Disparities by Sex/Gender Among Patients Treated With Anthracyclines or Radiation

Author, setting, sample, follow‐upDiagnosis/treatmentStudy designResultsConclusions

Lipshultz, 1995 137

Boston

Female sex, n=62

Male sex, n=58

Mean time since therapy completion:

8.1 y

Childhood acute lymphoblastic leukemia or osteogenic sarcoma treated with doxorubicinRetrospective cohort study measuring cardiac stress velocity in comparison to data from 296 normal subjects45% of female patients (28 of 62) had depressed contractility more than 2 SDs below normal as compared with 12% of male patients (7 of 58; P<0.001). Interactive relation between sex and cumulative dose with the higher the cumulative dose, the greater the difference in contractility between female and male patientsFemale patients were more likely to have depressed left ventricular contractility after doxorubicin than male patients, with more disparate frequencies observed with higher cumulative doses

Krischer, 1997 138

Multicenter (United States)

Pediatric patients n=6493

Mean follow‐up: not specified

Leukemia, lymphoma (Hodgkin and non‐Hodgkin), sarcoma, neuroblastoma, brain tumors treated with anthracyclinesRetrospective cohort study measuring event‐free survival until cardiotoxic eventIncreased risk of early cardiotoxicity among female pediatric patients (relative risk, 1.89; 95% CI, 1.28–2.78, P<0.01) in multivariate analysis.Female patients treated with anthracyclines had a higher risk of early cardiotoxicity in comparison to male patients.

Khalid, 2020 139

Multicenter (North America, Europe)

Hodgkin lymphoma treated with radiationSystematic review evaluating incidence of cardiovascular events and cardiovasculamortality among 10 observational studiesHigher aggregate incidence of cardiovascula events and cardiovasculamortality in women compared with men (OR, 3.74; 95% CI, 2.44–5.72, P<0.001) with higher all‐cause mortality in women compared with men (OR, 1.94; 95%, CI, 1.10–3.44, P<0.023)Women with Hodgkin lymphoma who received radiation had high risk of cardiovascula events or mortality in comparison to men

OR indicates odds ratio.

References: 137, 138, 139.

Cardiotoxicity Disparities by Sex/Gender Among Patients Treated With Anthracyclines or Radiation Lipshultz, 1995 Boston Female sex, n=62 Male sex, n=58 Mean time since therapy completion: 8.1 y Krischer, 1997 Multicenter (United States) Pediatric patients n=6493 Mean follow‐up: not specified Khalid, 2020 Multicenter (North America, Europe) OR indicates odds ratio. References: 137, 138, 139.

Strategies and Future Directions

We provide a visual summary of our findings on outcome disparities according to race and ethnicity, socioeconomic status, and sex and gender in treatment‐associated cardiotoxicity with a depiction of contributing etiologies (Figure 1). The studies reviewed here have prominent limitations—most notably, size and the lack of controlling for relevant covariates. Many of these studies did not account for variables such as disease stage, preexisting cardiovascular risk factors, or CVD. Most studies did not control for socioeconomic factors, geographic factors, or other social variables. Further research is necessary to determine to what degree the observed disparities among Black women with breast cancer exist within other cancer types, as well as among other racial and ethnic groups including diverse API, Hispanic/Latinx, and AIAN communities. Additional research is needed to examine the interactions of individual and neighborhood SES with other social determinants of health as well as broader dynamics of structural racism within the context of CVD among patients with cancer. Further research is required to elucidate the conflicting difference in sex and gender disparities among women described here in comparison to prior literature that cites worsened outcomes in men. Additionally, future investigations on sex and gender disparities should be broadened to include other groups subject to sex‐ and gender‐based discrimination, including lesbian, gay, bisexual, transgender, queer (or questioning), asexual (or allied), and intersex patients. The intersection of these different disparities is deeply worrisome for potential compounding effects on disparities in cardiotoxicity and extreme vulnerability to inequity. This should be explored further not only for Black women with cancer but also for Hispanic/Latinx and API women (with attention paid to acculturation effects) as well AIAN women. It is important to note that although AIAN communities have the highest risk for CVD in the general population, there are no available studies on cardiotoxicity among this population. In addition, younger women who receive oncologic therapy with elevated risk of atherosclerotic disease should be considered in the context of the increasing rates of coronary artery disease among the general population of young women ages 35 to 44 years old. Given that the culprit contributing variables to general cardiovascular disparities extend beyond socioeconomic factors alone and include other social determinants of health as well as upstream structural racism and sexism , , , (Figure 1), future research in cardio‐oncology must also investigate the relationship of these factors to cardiotoxicity outcomes. Based on our review of the literature and current practices, we propose actionable strategies within clinical practice, investigative research, and community engagement to reduce disparities in cardio‐oncology (Figure 2). In addition to developing standardized protocols for cardiovascular screening, risk factor optimization, and cardiotoxicity treatment per American Society of Clinical Oncology and American Heart Association guidelines, we propose developing effective tools to assess patient social and structural vulnerabilities at the time of care establishment in order to identify patients in need of additional interdisciplinary resources. Leveraging telehealth services from the COVID‐19 era may improve healthcare access for some patients without immediate access to cardio‐oncology providers or with personal or structural circumstances that challenge regular care. However, creative and informed approaches will be needed for populations with limited resources, as preliminary research on telehealth use during the COVID‐19 pandemic demonstrates that patients of color, older patients, patients who do not speak English, and patients from disadvantaged backgrounds have participated less in telemedicine and virtual video visits. , Additionally, we recommend longitudinal implicit bias training for all healthcare workers to decrease the interference of implicit bias with equitable care and recommend peer review of practice patterns to reduce substandard or inappropriate treatment of under‐represented minorities and women.
Figure 2

Strategies to reduce inequity in cardio‐oncology.

Strategies that can be taken by individual clinicians, scientists, and provider groups to reduce outcome disparities and improve cardiovascular and cancer‐associated health equity in the cardio‐oncology population. SES indicates socioeconomic status. Created by biorender.com.

Strategies to reduce inequity in cardio‐oncology.

Strategies that can be taken by individual clinicians, scientists, and provider groups to reduce outcome disparities and improve cardiovascular and cancer‐associated health equity in the cardio‐oncology population. SES indicates socioeconomic status. Created by biorender.com. Among research‐based strategies, we call for an expansion of health disparities research as discussed previously to the level of rigorous large‐scale studies investigating different types of disparities among diverse types of cancer and cardiotoxic treatment. These disparities should be evaluated in the context of comprehensive social determinants of health and forces of systemic discrimination. Encouragingly, the American Heart Association recently solicited research on cardio‐oncology disparities, with the aim to devise a disparities research network focused on collaborative basic, clinical, and population‐based investigations. In addition to research expansion, we urge the robust recruitment of underrepresented groups to clinical trials for cancer therapeutics and cardioprotective agents, inclusive of patients with known cardiovascular comorbidities. In both health disparities studies and therapy‐based clinical trials, we recommend that data on social determinants of health be collected among all study participants. To inform these investigations, cultural and structural competency training should be pursued to improve clinician and scientist understanding of health determinants. These strategies should be partnered with community initiatives to improve care access and patient outcomes. Initiatives to consider include community‐based participatory research to explore barriers to cardio‐oncologic care as well as community group collaborations to improve outreach to community members. Ongoing efforts should also be made to promote the diverse representation of clinicians and scientists involved in cardio‐oncology clinical care and research. Although addressing broader system‐level policies requires collaboration among many political, legal, and social groups, there is also a critical need for physician political advocacy in conversations on public health crises including poverty, housing insecurity, insufficient health insurance, and structural racism. The general cardiologist has an important role in the collaborative work of reducing cardio‐oncology disparities. General cardiology practitioners are needed to help screen for CVD, aggressively manage cardiovascular risk factors, and refer early to cardio‐oncologists when possible. In areas where cardio‐oncology providers are not available, general cardiologists should assume the collaborative role with a patient’s oncology team. This requires diligent screening practices as well as an accurate understanding of which patients are most at risk for CVD and treatment‐associated cardiotoxicity. Individual cardiology and oncology providers are not able to single‐handedly change social or structural determinants of health, but they can commit to some of the clinical, research, and community strategies offered here to help reduce disparities. Disparities in CVD and CVD‐related mortality will be an important area of study as the landscape of cancer treatment modalities continues to evolve. By further elucidating disparate cardiotoxicity outcomes among patients with cancer, we may improve our understanding of the relationship between cancer and cardiovascular disparities while guiding future research and equity‐focused care practices within cardio‐oncology. Eradicating cardio‐oncologic disparities among underresourced communities and minority groups including Black populations, who carry the brunt of both cancer mortality and cardiac disease, is a matter of compelling urgency—and ultimately, a matter of social justice. The improvement of cardiovascular health for all patients with cancer is critical for patient survival, quality of life, and health equity.

Sources of Funding

None.

Disclosures

Dr Yang receives research funding from CSL Behring (nonrelevant). The remaining authors have no disclosures to report. Table S1 Click here for additional data file.
  135 in total

Review 1.  The metabolic syndrome in cancer survivors.

Authors:  Esther C de Haas; Sjoukje F Oosting; Joop D Lefrandt; Bruce Hr Wolffenbuttel; Dirk Th Sleijfer; Jourik A Gietema
Journal:  Lancet Oncol       Date:  2010-02       Impact factor: 41.316

2.  Efficiency of atorvastatin in the protection of anthracycline-induced cardiomyopathy.

Authors:  Zeydin Acar; Abdurrahman Kale; Mehmet Turgut; Sabri Demircan; Kenan Durna; Serdar Demir; Murat Meriç; Mustafa Tarık Ağaç
Journal:  J Am Coll Cardiol       Date:  2011-08-23       Impact factor: 24.094

3.  Cardiovascular disease incidence in adolescent and young adult cancer survivors: a retrospective cohort study.

Authors:  Theresa H M Keegan; Lawrence H Kushi; Qian Li; Ann Brunson; X Chawla; Helen K Chew; Marcio Malogolowkin; Ted Wun
Journal:  J Cancer Surviv       Date:  2018-02-09       Impact factor: 4.442

4.  Trastuzumab-induced cardiomyopathy: incidence and associated risk factors in an inner-city population.

Authors:  Kaitlin B Baron; Jennifer R Brown; Brian L Heiss; Joanne Marshall; Nancy Tait; Katherine H R Tkaczuk; Stephen S Gottlieb
Journal:  J Card Fail       Date:  2014-06-04       Impact factor: 5.712

5.  Cardiovascular toxicity induced by chemotherapy, targeted agents and radiotherapy: ESMO Clinical Practice Guidelines.

Authors:  G Curigliano; D Cardinale; T Suter; G Plataniotis; E de Azambuja; M T Sandri; C Criscitiello; A Goldhirsch; C Cipolla; F Roila
Journal:  Ann Oncol       Date:  2012-10       Impact factor: 32.976

6.  A balancing act: racial disparities in cardiovascular disease mortality among women diagnosed with breast cancer.

Authors:  Lindsay J Collin; Alyssa N Troeschel; Yuan Liu; Keerthi Gogineni; Kylee Borger; Kevin C Ward; Lauren E McCullough
Journal:  Ann Cancer Epidemiol       Date:  2020-03-31

Review 7.  Importance of Housing and Cardiovascular Health and Well-Being: A Scientific Statement From the American Heart Association.

Authors:  Mario Sims; Kiarri N Kershaw; Khadijah Breathett; Elizabeth A Jackson; Lisa M Lewis; Mahasin S Mujahid; Shakira F Suglia
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2020-07-15

Review 8.  Cardiotoxicity due to targeted anticancer agents: a growing challenge.

Authors:  Chintan P Shah; Jan S Moreb
Journal:  Ther Adv Cardiovasc Dis       Date:  2019 Jan-Dec

Review 9.  Common risk factors for heart failure and cancer.

Authors:  Wouter C Meijers; Rudolf A de Boer
Journal:  Cardiovasc Res       Date:  2019-04-15       Impact factor: 10.787

10.  Racial and Ethnic Disparities in Cardio-Oncology: A Call to Action.

Authors:  Muhammad Fazal; Jessica Malisa; June-Wha Rhee; Ronald M Witteles; Fatima Rodriguez
Journal:  JACC CardioOncol       Date:  2021-06-15
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  7 in total

Review 1.  Spectrum of National Institutes of Health-Funded Research in Cardio-Oncology: A Basic, Clinical, and Observational Science Perspective.

Authors:  Bishow B Adhikari; Scarlet Shi; Eileen P Dimond; Nonniekaye Shelburne; Patrice Desvigne-Nickens; Lori M Minasian
Journal:  Heart Fail Clin       Date:  2022-07       Impact factor: 2.828

2.  Artificial intelligence and imaging: Opportunities in cardio-oncology.

Authors:  Nidhi Madan; Julliette Lucas; Nausheen Akhter; Patrick Collier; Feixiong Cheng; Avirup Guha; Lili Zhang; Abhinav Sharma; Abdulaziz Hamid; Imeh Ndiokho; Ethan Wen; Noelle C Garster; Marielle Scherrer-Crosbie; Sherry-Ann Brown
Journal:  Am Heart J Plus       Date:  2022-04-06

Review 3.  Interconnected Clinical and Social Risk Factors in Breast Cancer and Heart Failure.

Authors:  Arjun Sinha; Avni Bavishi; Elizabeth A Hibler; Eric H Yang; Susmita Parashar; Tochukwu Okwuosa; Jeanne M DeCara; Sherry-Ann Brown; Avirup Guha; Diego Sadler; Sadiya S Khan; Sanjiv J Shah; Clyde W Yancy; Nausheen Akhter
Journal:  Front Cardiovasc Med       Date:  2022-05-20

4.  Establishing an interdisciplinary research team for cardio-oncology artificial intelligence informatics precision and health equity.

Authors:  Sherry-Ann Brown; Rodney Sparapani; Kristen Osinski; Jun Zhang; Jeffrey Blessing; Feixiong Cheng; Abdulaziz Hamid; Generika Berman; Kyla Lee; Mehri BagheriMohamadiPour; Jessica Castrillon Lal; Anai N Kothari; Pedro Caraballo; Peter Noseworthy; Roger H Johnson; Kathryn Hansen; Louise Y Sun; Bradley Crotty; Yee Chung Cheng; Jessica Olson
Journal:  Am Heart J Plus       Date:  2022-02-05

5.  Current Status and Trends of Research on Anthracycline-Induced Cardiotoxicity from 2002 to 2021: A Twenty-Year Bibliometric and Visualization Analysis.

Authors:  Yu Wang; Yifei Rao; Zhijian Lin; Rina Sa; Yuling Yin; Xiaomeng Zhang; Bing Zhang
Journal:  Oxid Med Cell Longev       Date:  2022-08-11       Impact factor: 7.310

Review 6.  Gender Differences in Diagnosis, Prevention, and Treatment of Cardiotoxicity in Cardio-Oncology.

Authors:  Shawn Simek; Brian Lue; Anjali Rao; Goutham Ravipati; Srilakshmi Vallabhaneni; Kathleen Zhang; Vlad G Zaha; Alvin Chandra
Journal:  J Clin Med       Date:  2022-09-01       Impact factor: 4.964

7.  Leveraging innovation, education, and technology for prevention and health equity: Proceedings from the cardiology oncology innovation ThinkTank 2021.

Authors:  Sherry-Ann Brown; Generika Berman; Jim Logan; Diego Sadler; Rohit Moudgil; Brijesh Patel; Marielle Scherrer-Crosbie; Daniel Addison; Richard K Cheng; Arco J Teske
Journal:  Front Cardiovasc Med       Date:  2022-09-29
  7 in total

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