Heart failure and socioeconomic status: accumulating evidence of inequality

The relation between socioeconomic status and invasive haemodynamics at evaluation for advanced heart failure

AIMS

Socioeconomic deprivation is a risk marker for worse prognosis in patients with heart failure (HF), and a potential barrier to referral for advanced HF evaluation. The relationship between socioeconomic status (SES) and invasive haemodynamics in patients undergoing evaluation for advanced HF therapies is unknown.

METHODS

We combined a consecutive clinical registry of patients evaluated for advanced HF with patient-level data on SES (household income, education, workforce status, cohabitant status and distance from home to tertiary HF centre) derived from nationwide registries. Using this information, the cohort was divided into groups of low-, medium- and high degree of socioeconomic deprivation. The associations between SES and invasive haemodynamics were explored with multiple linear regression adjusted for age and sex.

RESULTS

A total of 631 patients were included. The median age was 53 years, and 23% were women. Patients in the highest income quartile versus the lowest (Q4 vs. Q1) were older (median age 57 vs. 50 years) and more often male (83% vs. 67%), both P < 0.001. Increasing household income (per 100 000 Danish kroner,1 EUR = 7.4 DKK) was associated with lower pulmonary capillary wedge pressure (PCWP) [-0.18 mmHg, 95% confidence interval (CI) -0.36 to -0.01, P = 0.036] but not significantly associated with central venous pressure (CVP) (-0.07 mmHg, 95% CI -0.21 to 0.06, P = 0.27), cardiac index (-0.004 L/min/m2, 95% CI -0.02 to 0.01, P = 0.60), or pulmonary vascular resistance (PVR) (-0.003 Wood units, 95% CI -0.37 to 0.16, P = 0.84). Comparing the most deprived with the least deprived group, adjusted mean PVR was higher (0.35 Wood units, 95% CI 0.02 to 0.68, P = 0.04), but PCWP (0.66 mmHg, 95% CI -1.49 to 2.82, P = 0.55), CVP (-0.26 mmHg, 95% CI -1.76 to 1.24, P = 0.73) and cardiac index (-0.03 L/min/m2, 95% CI -0.22 to 0.17, P = 0.78) were similar.

CONCLUSIONS

Most haemodynamic measurements were similar across layers of SES. Nevertheless, there were some indications of worse haemodynamics in patients with lower household income or a high accumulated burden of socioeconomic deprivation. Particular attention may be warranted in socioeconomically deprived patients to ensure timely referral for advanced HF evaluation.

Socio-economic inequalities and heart failure morbidity and mortality: A systematic review and data synthesis

Socio-economic status (SES) has been associated with incident and prevalent heart failure (HF), as well as its morbidity and mortality. However, the precise nature of the relationship between SES and HF remains unclear due to inconsistent data. This study aims to provide a comprehensive assessment and data synthesis of the relationship between SES and HF morbidity and mortality. We performed a systematic search and data synthesis using six databases following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines. The included studies comprised observational studies that reported on HF incidence and prevalence, HF hospitalizations, worsening HF (WHF) and all-cause mortality, as well as treatment options (medical, device and advanced HF therapies). SES was measured on both individual and area levels, encompassing single (e.g., income, education, employment, social risk score, living conditions and housing characteristics) and composite indicators. Among the 4124 studies screened, 79 were included, with an additional 5 identified through cross-referencing. In the majority of studies, a low SES was associated with an increased HF incidence (72%) and prevalence (75%). For mortality, we demonstrated that low SES was associated with increased mortality in 45% of the studies, with 18% of the studies showing mixed results (depending on the indicator, gender or follow-up) and 38% showing non-significant results. Similar patterns were observed for the association between SES, WHF, medical therapy prescriptions and the utilization of devices and advanced HF therapies. There was no clear pattern in the used SES indicators and HF outcomes. This systematic review, using contemporary data, shows that while socio-economic disparity may influence HF incidence, management and subsequent adverse events, these associations are not uniformly predictive. Our review highlights that the impact of SES varies depending on the specific indicators used, reflecting the complexity of its influence on health disparities. Assessment and recognition of SES as an important risk factor can assist clinicians in early detection and customizing HF treatment, while also aiding policymakers in optimizing resource allocation.

Excess Risk of Mortality and Hospitalization in Patients with Heart Failure According to Age and Comorbidity - A Nationwide Register Study

Background

Heart failure (HF) is associated with increased risk of death and a hospitalization, but for patients initiating guideline directed medical therapy, it is unknown how high these risks are compared to the general population - and how this may vary depending on age and comorbidity.

Methods

In this retrospective cohort study, we identified patients diagnosed with HF in the period 2011-2017, surviving the initial 120 days after diagnosis. Patients who were on angiotensin converting enzyme inhibitor (ACEi)/ angiotensin receptor blocker (ARB) and beta-blocker were included and matched to 5 non-HF individuals from the background population each based on age and sex. We assessed the 5-year risk of all-cause death, HF and non-HF hospitalization according to sex and age and baseline comorbidity.

Results

We included 35,367 patients with HF and 176,835 matched non-HF individuals. Patients with HF had a five-year excess risk (absolute risk difference) of death of 13% (31% [for HF] - 18% [for non-HF]), of HF hospitalization of 17% and of non-HF hospitalization of 24%. Excess risk of death increased with increasing age, whereas the relative risk decreased - for women in their twenties, the excess risk was 7%, risk ratio 7.2, while the excess risk was 18%, risk ratio 1.5 for women in their eighties. Having HF as a 60-year old man was associated with a five-year risk of death similar to a 75-year old man without HF. Further, HF was associated with an excess risk of non-HF hospitalization, ranging from 8% for patients >85 years to 30% for patients <30 years.

Conclusion

Regardless of age, sex and comorbidity, HF was associated with excess risk of mortality and non-HF hospitalizations, but the relative risk ratio diminishes sharply with advancing age, which may influence allocation of resources for medical care across populations.

Increasing adherence and collecting symptom-specific biometric signals in remote monitoring of heart failure patients: a randomized controlled trial

OBJECTIVES

Mobile health (mHealth) regimens can improve health through the continuous monitoring of biometric parameters paired with appropriate interventions. However, adherence to monitoring tends to decay over time. Our randomized controlled trial sought to determine: (1) if a mobile app with gamification and financial incentives significantly increases adherence to mHealth monitoring in a population of heart failure patients; and (2) if activity data correlate with disease-specific symptoms.

MATERIALS AND METHODS

We recruited individuals with heart failure into a prospective 180-day monitoring study with 3 arms. All 3 arms included monitoring with a connected weight scale and an activity tracker. The second arm included an additional mobile app with gamification, and the third arm included the mobile app and a financial incentive awarded based on adherence to mobile monitoring.

RESULTS

We recruited 111 heart failure patients into the study. We found that the arm including the financial incentive led to significantly higher adherence to activity tracker (95% vs 72.2%, P = .01) and weight (87.5% vs 69.4%, P = .002) monitoring compared to the arm that included the monitoring devices alone. Furthermore, we found a significant correlation between daily steps and daily symptom severity.

DISCUSSION AND CONCLUSION

Our findings indicate that mobile apps with added engagement features can be useful tools for improving adherence over time and may thus increase the impact of mHealth-driven interventions. Additionally, activity tracker data can provide passive monitoring of disease burden that may be used to predict future events.

Disease Trajectories from Healthcare Data: Methodologies, Key Results, and Future Perspectives

Disease trajectories, defined as sequential, directional disease associations, have become an intense research field driven by the availability of electronic population-wide healthcare data and sufficient computational power. Here, we provide an overview of disease trajectory studies with a focus on European work, including ontologies used as well as computational methodologies for the construction of disease trajectories. We also discuss different applications of disease trajectories from descriptive risk identification to disease progression, patient stratification, and personalized predictions using machine learning. We describe challenges and opportunities in the area that eventually will benefit from initiatives such as the European Health Data Space, which, with time, will make it possible to analyze data from cohorts comprising hundreds of millions of patients.

Dietary Counseling Documentation Among Patients Recently Hospitalized for Cardiovascular Disease

BACKGROUND

Diet intervention forms the cornerstone for cardiovascular disease (CVD) management.

OBJECTIVE

The objective was to measure the frequency of dietary counseling documentation for patients recently hospitalized with CVD.

DESIGN

This was an observational study.

PARTICIPANTS AND SETTING

Patients were included from the Michigan Value Collaborative Multipayer Claims Registry from October 2015 to February 2020.

MAIN OUTCOME MEASURE

The study measured the frequency of medical claims that document dietary counseling ≤90 days after hospitalization (ie, an episode of care) for CVD events (coronary artery bypass grafting, acute myocardial infarction, congestive heart failure, and percutaneous coronary intervention). Dietary counseling documentation was defined as having an encounter-level International Classification of Diseases 10th Revision code for dietary counseling or current procedural terminology code for medical nutrition therapy or cardiac rehabilitation.

STATISTICAL ANALYSES PERFORMED

Multivariable logistic regression was used to measure variation in documentation across gender, age, comorbidities, hospital geography, CVD event, and insurer.

RESULTS

There were 175,631 episodes of care (congesitve heart failure 47.1%, acute myocardial infarction 28.7%, percutaneous coronary intervention 17.0%, and coronary artery bypass grafting 7.3%) among 146,185 individuals. Most episodes occurred among men (55.8%) and those older than age 65 years (71.9%). Dietary counseling was documented for 22.8% of episodes and was more common as cardiac rehabilitation (18.6%) than other encounter types (5.1%). In multivariable analysis, there was lower odds for dietary counseling documentation among those older than age 65 years (odds ratio [OR] 0.77; P < .001), women (OR 0.83; P < .001), with chronic kidney disease (OR 0.74; P < .001), or diabetes (OR 0.95; P < .001), but greater odds for those with obesity (OR 1.28; P < .001) and nonmetropolitan hospitals (OR 1.31; P < .001). Compared with coronary artery bypass grafting, acute myocardial infarction (OR 0.29; P < .001), confestive heart failure (OR 0.12; P < .001), and percutaneous coronary intervention (OR 0.36; P < .001) episodes had lower odds to have dietary counseling coded. Compared with Traditional Medicare, Medicaid and Medicare Advantage health maintenance organization plans had lower odds, whereas Commercial or Medicare Advantage preferred provider organization and Commercial health maintenance organization plans had higher odds to have dietary counseling documented. Results were mostly similar when evaluated by race.

CONCLUSIONS

Dietary counseling was infrequently documented after hospitalization for CVD episodes in medical claims in a Michigan-based multipayer claims database with large variation by reason for hospitalization and patient factors.

Healthcare Disparities in Cardiovascular Medicine

There are significant healthcare disparities in cardiovascular medicine that represent a challenge for cardiologists and healthcare policy-makers who wish to provide equitable care. Disparities exist in both the management and outcomes of hypertension, coronary artery disease and its sequelae, and heart failure. These disparities are present along the lines of race, gender, and socioeconomic status. Despite recent efforts to reduce disparity, there are knowledge and research gaps among cardiologists with regards to both the scope of the problem and how to solve it. Solutions include increasing awareness of disparities in cardiovascular health, increasing research for optimal treatment of underserved communities, and public policy changes that reduce disparities in social determinants of health.

Artificial Intelligence and Its Role in Diagnosing Heart Failure: A Narrative Review

Heart failure (HF) is prevalent globally. It is a dynamic disease with varying definitions and classifications due to multiple pathophysiologies and etiologies. The diagnosis, clinical staging, and treatment of HF become complex and subjective, impacting patient prognosis and mortality. Technological advancements, like artificial intelligence (AI), have been significant roleplays in medicine and are increasingly used in cardiovascular medicine to transform drug discovery, clinical care, risk prediction, diagnosis, and treatment. Medical and surgical interventions specific to HF patients rely significantly on early identification of HF. Hospitalization and treatment costs for HF are high, with readmissions increasing the burden. AI can help improve diagnostic accuracy by recognizing patterns and using them in multiple areas of HF management. AI has shown promise in offering early detection and precise diagnoses with the help of ECG analysis, advanced cardiac imaging, leveraging biomarkers, and cardiopulmonary stress testing. However, its challenges include data access, model interpretability, ethical concerns, and generalizability across diverse populations. Despite these ongoing efforts to refine AI models, it suggests a promising future for HF diagnosis. After applying exclusion and inclusion criteria, we searched for data available on PubMed, Google Scholar, and the Cochrane Library and found 150 relevant papers. This review focuses on AI's significant contribution to HF diagnosis in recent years, drastically altering HF treatment and outcomes.

Association between cognitive impairment and socioeconomic and sociodemographic factors in Colombian older adults

INTRODUCTION

Worldwide, because of the demographic transition, the proportion of older adults has increased, which has been reflected in an increase in the prevalence of major neurocognitive disorder (MND). This phenomenon is especially important in low- and middle-income countries such as Colombia, given the high economic and social costs it entails. The objective was to analyse the association between socioeconomic variables with the presence of cognitive impairment in Colombian older adults.

METHODS

The records of 23,694 adults over 60 years-of-age surveyed for SABE Colombia 2015, that took a stratified sample by conglomerates and were representative of the adult population over 60 years-of-age. This instrument assessed cognitive impairment using the abbreviated version of the Minimental (AMMSE) and collected information on multiple socioeconomic variables.

RESULTS

19.7% of the older adults included in the survey were reviewed with cognitive impairment by presenting a score <13 in the AMMSE. There was a higher prevalence of cognitive impairment in women (21.5%) than in men (17.5%). The socioeconomic variables were shown to impact the prevalence of deterioration, especially being currently working (OR = 2.74; 95%CI, 2.43-3.09) as a risk factor and having attended primary school as a protective factor (OR = 0.30; 95%CI, 0.28-0.32), differentially according to gender.

CONCLUSIONS

An association between socioeconomic and sociodemographic factors with cognitive impairment in Colombian older adults was evidenced. Despite the above, a differential impact dependent on sex is suggested.

Impact of socioeconomic status on presentation, care quality and outcomes of patients attended by emergency medical services for dyspnoea: a population-based cohort study

BACKGROUND

Low socioeconomic status (SES) has been linked to poor outcomes in many conditions. It is unknown whether these disparities extend to individuals presenting with dyspnoea. We aimed to evaluate the relationship between SES and incidence, care quality and outcomes among patients attended by emergency medical services (EMS) for dyspnoea.

METHODS

This population-based cohort study included consecutive patients attended by EMS for dyspnoea between 1 January 2015 and 30 June 2019 in Victoria, Australia. Data were obtained from individually linked ambulance, hospital and mortality datasets. Patients were stratified into SES quintiles using a composite census-derived index.

RESULTS

A total of 262 412 patients were included. There was a stepwise increase in the age-adjusted incidence of EMS attendance for dyspnoea with increasing socioeconomic disadvantage (lowest SES quintile 2269 versus highest quintile 889 per 100 000 person years, ptrend<0.001). Patients of lower SES were younger and more comorbid, more likely to be from regional Victoria or of Aboriginal or Torres Strait Islander heritage and had higher rates of respiratory distress. Despite this, lower SES groups were less frequently assigned a high acuity EMS transport or emergency department (ED) triage category and less frequently transported to tertiary centres or hospitals with intensive care unit facilities. In multivariable models, lower SES was independently associated with lower acuity EMS and ED triage, ED length of stay>4 hours and increased 30-day EMS reattendance and mortality.

CONCLUSION

Lower SES was associated with a higher incidence of EMS attendances for dyspnoea and disparities in several metrics of care and clinical outcomes.

Impact of Community Socioeconomic Distress on Survival Following Heart Transplantation

OBJECTIVE

The aim of this study was to assess the impact of community-level socioeconomic deprivation on survival outcomes following heart transplantation.

BACKGROUND

Despite growing awareness of socioeconomic disparities in the US health care system, significant inequities in outcomes remain. While recent literature has increasingly considered the effects of structural socioeconomic deprivation, the impact of community socioeconomic distress on outcomes following heart transplantation has not yet been elucidated.

METHODS

All adult heart transplant recipients from 2004 to 2022 were ascertained from the Organ Procurement and Transplantation Network. Community socioeconomic distress was assessed using the previously validated Distressed Communities Index, a metric that represents education level, housing vacancies, unemployment, poverty rate, median household income, and business growth by zip code. Communities in the highest quintile were considered the Distressed cohort (others: Non-Distressed ). Outcomes were considered across 2 eras (2004-2018 and 2019-2022) to account for the 2018 UNOS Policy Change. Three- and 5-year patient and graft survival were assessed using Kaplan-Meier and Cox proportional hazards models.

RESULTS

Of 36,777 heart transplants, 7450 (20%) were considered distressed . Following adjustment, distressed recipients demonstrated a greater hazard of 5-year mortality from 2004 to 2018 [hazard ratio (HR)=1.10, 95% confidence interval (CI): 1.03-1.18; P =0.005] and 3-year mortality from 2019 to 2022 (HR=1.29, 95% CI: 1.10-1.51; P =0.002), relative to nondistressed . Similarly, the distressed group was associated with increased hazard of graft failure at 5 years from 2004 to 2018 (HR=1.10, 95% CI: 1.03-1.18; P =0.003) and at 3 years from 2019 to 2022 (HR=1.31, 95% CI: 1.11-1.53; P =0.001).

CONCLUSIONS

Community-level socioeconomic deprivation is linked with inferior patient and graft survival following heart transplantation. Future interventions are needed to address pervasive socioeconomic inequities in transplantation outcomes.

Paving a Path to Equity in Cardiorenal Care

Cardiorenal syndrome encompasses a dynamic interplay between cardiovascular and kidney disease, and its prevention requires careful examination of multiple predisposing underlying conditions. The unequal distribution of diabetes, heart failure, hypertension, and kidney disease requires special attention because of the influence of these conditions on cardiorenal disease. Despite growing evidence regarding the benefits of disease-modifying agents (e.g., sodium-glucose cotransporter 2 inhibitors) for cardiovascular, kidney, and metabolic (CKM) disease, significant disparities remain in access to and utilization of these essential therapeutics. Multilevel barriers impeding their use require multisector interventions that address patient, provider, and health system-tailored strategies. Burgeoning literature also describes the critical role of unequal social determinants of health, or the sociopolitical contexts in which people live and work, in cardiorenal risk factors, including heart failure, diabetes, and chronic kidney disease. This review outlines (i) inequality in the burden and treatment of hypertension, type 2 diabetes, and heart failure; (ii) disparities in the use of key disease-modifying therapies for CKM diseases; and (iii) multilevel barriers and solutions to achieve greater pharmacoequity in the use of disease-modifying therapies. In addition, this review provides summative evidence regarding the role of unequal social determinants of health in cardiorenal health disparities, further outlining potential considerations for future research and intervention. As proposed in the 2023 American Heart Association presidential advisory on CKM health, a paradigm shift will be needed to achieve cardiorenal health equity. Through a deeper understanding of CKM health and a commitment to equity in the prevention, detection, and treatment of CKM disease, we can achieve this critical goal.

Left Ventricular Assist Device Use in Minorities: An Analysis of the National Inpatient Sample

Minorities are less likely to receive a left ventricular assist device (LVAD). This, however, is based on total implant data. By examining rates of LVAD implant among patients admitted with heart failure complicated by cardiogenic shock, we sought to further elucidate LVAD utilization rates and racial disparities. Utilizing the National Inpatient Sample from 2013 to 2019, all patients admitted with a primary diagnosis of heart failure complicated by cardiogenic shock were included for analysis. Those who then received an LVAD during that hospitalization defined the LVAD utilization which was examined for any racial disparities. Left ventricular assist device utilization was low across all racial groups with no significant difference noted in univariate analysis. Non-Hispanic Blacks had the highest length of stay (LOS), the highest proportion of discharge to home (71.52%), and the lowest inpatient mortality (6.33%). Multivariable modeling confirmed the relationship between race and LOS; however, no differences were noted in mortality. Non-Hispanic Blacks were found to be less likely to receive an LVAD; however, when controlling for payer, median household income, and comorbidities, this relationship was no longer seen. Left ventricular assist devices remain an underutilized therapy in cardiogenic shock. When using a multivariable model, race does not appear to affect LVAD utilization.

Socioeconomic disparities in the management and outcomes of acute myocardial infarction

BACKGROUND

Patients from lower socioeconomic status areas have poorer outcomes following acute myocardial infarction (AMI); however, how ethnicity modifies such socioeconomic disparities is unclear.

METHODS

Using the UK Myocardial Ischaemia National Audit Project (MINAP) registry, we divided 370 064 patients with AMI into quintiles based on Index of Multiple Deprivation (IMD) score, comprising seven domains including income, health, employment and education. We compared white and 'ethnic-minority' patients, comprising Black, Asian and mixed ethnicity patients (as recorded in MINAP); further analyses compared the constituents of the ethnic-minority group. Logistic regression models examined the role of the IMD, ethnicity and their interaction on the odds of in-hospital mortality.

RESULTS

More patients from the most deprived quintile (Q5) were from ethnic-minority backgrounds (Q5; 15% vs Q1; 4%). In-hospital mortality (OR 1.10, 95% CI 1.01 to 1.19, p=0.025) and major adverse cardiovascular event (MACE) (OR 1.07, 95% CI 1.00 to 1.15, p=0.048) were more likely in Q5, and MACE was more likely in ethnic-minority patients (OR 1.40, 95% CI 1.00 to 1.95, p=0.048) versus white (OR 1.05, 95% CI 0.98 to 1.13, p=0.027) in Q5. In subgroup analyses, Black patients had the highest in-hospital mortality within the most affluent quintile (Q1) (Black: 0.079, 95% CI 0.046 to 0.112, p<0.001; White: 0.062, 95% CI 0.059 to 0.066, p<0.001), but not in Q5 (Black: 0.065, 95% CI 0.054 to 0.077, p<0.001; White: 0.065, 95% CI 0.061 to 0.069, p<0.001).

CONCLUSION

Patients with a higher deprivation score were more often from an ethnic-minority background, more likely to suffer in-hospital mortality or MACE when compared with the most affluent quintile, and this relationship was stronger in ethnic minorities compared with White patients.

Regional variations in heart failure: a global perspective

Heart failure (HF) is a global public health concern that affects millions of people worldwide. While there have been significant therapeutic advancements in HF over the last few decades, there remain major disparities in risk factors, treatment patterns and outcomes across race, ethnicity, socioeconomic status, country and region. Recent research has provided insight into many of these disparities, but there remain large gaps in our understanding of worldwide variations in HF care. Although the majority of the global population resides across Asia, Africa and South America, these regions remain poorly represented in epidemiological studies and HF trials. Recent efforts and registries have provided insight into the clinical profiles and outcomes across HF patterns globally. The prevalence of HF and associated risk factors has been reported and varies by country and region ranges, with minimal data on regional variations in treatment patterns and long-term outcomes. It is critical to improve our understanding of the different factors that contribute to global disparities in HF care so we can build interventions that improve our general cardiovascular health and mitigate the social and economic cost of HF. In this narrative review, we hope to provide an overview of the global and regional variations in HF care and outcomes.

Epidemiology and treatment of heart failure with chronic obstructive pulmonary disease in Canadian primary care

AIMS

Heart failure (HF) and chronic obstructive pulmonary disease (COPD) are largely managed in primary care, but their intersection in terms of disease burden, healthcare utilization, and treatment is ill-defined.

METHODS AND RESULTS

We examined a retrospective cohort including all patients with HF or COPD in the Canadian Primary Care Sentinel Surveillance Network from 2010 to 2018. The population size in 2018 with HF, COPD, and HF with COPD was 15 778, 27 927, and 4768 patients, respectively. While disease incidence declined, age-sex-standardized prevalence per 100 population increased for HF alone from 2.33 to 3.63, COPD alone from 3.44 to 5.96, and COPD with HF from 12.70 to 15.67. Annual visit rates were high and stable around 8 for COPD alone but declined significantly over time for HF alone (9.3-8.1, P = 0.04) or for patients with both conditions (14.3-11.9, P = 0.006). For HF alone, cardiovascular visits were common (29.4%), while respiratory visits were infrequent (3.5%), with the majority of visits being non-cardiorespiratory. For COPD alone, respiratory and cardiovascular visits were common (16.4% and 11.3%) and the majority were again non-cardiorespiratory. For concurrent disease, 39.0% of visits were cardiorespiratory. The commonest non-cardiorespiratory visit reasons were non-specific symptoms or signs, endocrine, musculoskeletal, and mental health. In patients with HF with and without COPD, angiotensin-converting enzyme inhibitor/angiotensin receptor blocker/angiotensin receptor-neprilysin inhibitor use was similar, while mineralocorticoid receptor antagonist use was marginally higher with concurrent COPD. Beta-blocker use was initially lower with concurrent COPD compared with HF alone (69.3% vs. 74.0%), but this progressively declined by 2018 (74.5% vs. 73.5%).

CONCLUSIONS

The prevalence of HF and COPD continues to rise. Although patients with either or both conditions are high utilizers of primary care, the majority of visits relate to non-cardiorespiratory comorbidities. Medical therapy for HF was similar and the initially lower beta-blocker utilization disappeared over time.

Association of neighbourhood-level material deprivation with adverse outcomes and processes of care among patients with heart failure in a single-payer healthcare system: A population-based cohort study

AIM

We studied the association between neighbourhood material deprivation, a metric estimating inability to attain basic material needs, with outcomes and processes of care among incident heart failure patients in a universal healthcare system.

METHODS AND RESULTS

In a population-based retrospective study (2007-2019), we examined the association of material deprivation with 1-year all-cause mortality, cause-specific hospitalization, and 90-day processes of care. Using cause-specific hazards regression, we quantified the relative rate of events after multiple covariate adjustment, stratifying by age ≤65 or ≥66 years. Among 395 763 patients (median age 76 [interquartile range 66-84] years, 47% women), there was significant interaction between age and deprivation quintile for mortality/hospitalization outcomes (p ≤ 0.001). Younger residents (age ≤65 years) of the most versus least deprived neighbourhoods had higher hazards of all-cause death (hazard ratio [HR] 1.19, 95% confidence interval [CI] 1.10-1.29]) and cardiovascular hospitalization (HR 1.29 [95% CI 1.19-1.39]). Older individuals (≥66 years) in the most deprived neighbourhoods had significantly higher hazard of death (HR 1.11 [95% CI 1.08-1.14]) and cardiovascular hospitalization (HR 1.13 [95% CI 1.09-1.18]) compared to the least deprived. The magnitude of the association between deprivation and outcomes was amplified in the younger compared to the older age group. More deprived individuals in both age groups had a lower hazard of cardiology visits and advanced cardiac imaging (all p < 0.001), while the most deprived of younger ages were less likely to undergo implantable cardioverter-defibrillator/cardiac resynchronization therapy-pacemaker implantation (p = 0.023), compared to the least deprived.

CONCLUSION

Patients with newly-diagnosed heart failure residing in the most deprived neighbourhoods had worse outcomes and reduced access to care than those less deprived.

Monitoring Social Determinants of Health Assessing Patients and Communities

Because of the devastating health effects of social determinants of health (SDoH), it is important for the primary care provider to assess and monitor these types of stressors. This can be done via surveys, geomapping, or various biomarkers. To date, however, each of these methods is fraught with obstacles. There are currently are no validated "best" SDoH screening tools for use in clinical practice. Nor is geomapping, a perfect solution. Although mapping can collect location specific factors, it does not account for the fact that patients may live in one area, work in another and travel frequently to a third.

Preventing Heart Failure Readmission in Patients with Low Socioeconomic Position

PURPOSE OF REVIEW

This review aims to summarize the current burden of heart failure (HF) in the United States, specifically in patients with low socioeconomic position (SEP), and synthesize recommendations to prevent HF-related hospital readmissions in this vulnerable population.

RECENT FINDINGS

As treatments have improved, HF-related mortality has declined over time, resulting in more patients living with HF. This has led to an increase in hospitalizations, however, putting excess strain on our healthcare system. HF patients with low SEP are a particularly vulnerable group, as they experience higher rates of hospitalization and readmission compared to their high SEP counterparts. The Hospital Readmission Reduction Program (HRRP) was created to motivate interventions that reduce hospital readmissions across diseases, with HF being a primary target. Numerous readmission prevention efforts have been suggested to target the pre-hospitalization, hospitalization, and post-hospitalization phases, including addressing social determinants of health (SDoH), improving coordination of care, optimizing discharge plans, and improving adherence to follow-up care and medication regimens. Many of these proposed interventions show promise in reducing HF-related readmissions and issues surrounding adequate caregiver support may be particularly important to reduce readmissions among persons in low SEP. Reducing HF-related hospital readmissions is possible, even in vulnerable populations like those with low SEP, but this will require coordinated efforts across the healthcare system and throughout the life course of these patients. Caregiver support is a necessary part of optimized care for low SEP HF patients and future efforts should consider interventions that support these caregivers.

Social Determinants of Health and Cardiologist Involvement in the Care of Adults Hospitalized for Heart Failure

Importance

Involvement of a cardiologist in the care of adults during a hospitalization for heart failure (HF) is associated with reduced rates of in-hospital mortality and hospital readmission. However, not all patients see a cardiologist when they are hospitalized for HF.

Objective

To determine whether social determinants of health (SDOH) are associated with cardiologist involvement in the management of adults hospitalized for HF.

Design, Setting, and Participants

This retrospective cohort study used data from the Reasons for Geographic and Racial Difference in Stroke (REGARDS) cohort. Participants included adults who experienced an adjudicated hospitalization for HF between 2009 and 2017 in all 48 contiguous states in the US. Data analysis was performed from November 2022 to January 2023.

Exposures

A total of 9 candidate SDOH, aligned with the Healthy People 2030 conceptual model, were examined: Black race, social isolation, social network and/or caregiver availability, educational attainment less than high school, annual household income less than $35 000, living in rural area, living in a zip code with high poverty, living in a Health Professional Shortage Area, and living in a state with poor public health infrastructure.

Main Outcomes and Measures

The primary outcome was cardiologist involvement, defined as involvement of a cardiologist as the primary responsible clinician or as a consultant. Bivariate associations between each SDOH and cardiologist involvement were examined using Poisson regression with robust SEs.

Results

The study included 1000 participants (median [IQR] age, 77.8 [71.5-84.0] years; 479 women [47.9%]; 414 Black individuals [41.4%]; and 492 of 876 with low income [56.2%]) hospitalized at 549 unique US hospitals. Low annual household income (<$35 000) was the only SDOH with a statistically significant association with cardiologist involvement (relative risk, 0.88; 95% CI, 0.82-0.95). In a multivariable analysis adjusting for age, race, sex, HF characteristics, comorbidities, and hospital characteristics, low income remained inversely associated with cardiologist involvement (relative risk, 0.89; 95% CI, 0.82-0.97).

Conclusions and Relevance

This cohort study found that adults with low household income were 11% less likely than adults with higher incomes to have a cardiologist involved in their care during a hospitalization for HF. These findings suggest that socioeconomic status may bias the care provided to patients hospitalized for HF.

Sociodemographic factors associated with paediatric out-of-hospital cardiac arrest: A systematic review

BACKGROUND

Paediatric out-of-hospital cardiac arrest (POHCA) is associated with poor survival and severe neurological sequelae. We conducted a systematic review on the impact of sociodemographic factors across different stages of POHCA.

METHODS

We searched MEDLINE, EMBASE, and Web of Science from database inception to October 2022. We included studies examining the association between sociodemographic factors (i.e., race, ethnicity, migrant status and socioeconomic status [SES]) and POHCA risk, bystander cardiopulmonary resuscitation (CPR) provision, bystander automated external defibrillator (AED) application, survival (at or 30-days post-discharge), and neurological outcome. We synthesized the data qualitatively.

RESULTS

We screened 11,097 citations and included 18 articles (arising from 15 studies). There were 4 articles reporting on POHCA risk, 5 on bystander CPR provision, 3 on bystander AED application, 13 on survival, and 6 on neurological outcome. In all studies on POHCA risk, significant differences were found across racial groups, with minority populations being disproportionately impacted. There were no articles reporting on the association between SES and POHCA risk. Bystander CPR provision was consistently associated with race and ethnicity, with disparities impacting Black and Hispanic children. The association between bystander CPR provision and SES was variable. There was little evidence of socioeconomic or racial disparities in studies on bystander AED application, survival, and neurological outcome, particularly across adjusted analyses.

CONCLUSIONS

Race and ethnicity are likely associated with POHCA risk and bystander CPR provision. These findings highlight the importance of prioritizing at-risk groups in POHCA prevention and intervention efforts. Further research is needed to understand underlying mechanisms.

Socioeconomic status and in-hospital outcomes for patients undergoing heart transplantation or ventricular assist device implantation

INTRODUCTION

Although lower socioeconomic status (SES) has been associated with worse in-hospital outcomes among patients with heart failure, the in-hospital outcomes for patients undergoing durable Left Ventricular Assist Device (LVAD) implantation or Heart Transplantation (HT) based on SES have not been well characterized.

METHODS

We analyzed data from the National Inpatient Sample of hospitalizations between January 2016 and December 2020 of patients aged 18 and over who underwent a HT or newly implanted LVAD. Quartile classification of the median household income of the patient's residential zip code was used to estimate SES. Multivariable analyses with logistic and linear regression were used to evaluate the effects of SES on inpatient outcomes including inpatient mortality, length of stay, and key inpatient complications.

RESULTS

A total of 16,265 weighted hospitalizations for new LVAD implantation and 14,320 weighted hospitalizations for HT were identified. In multivariable analysis, among patients undergoing HT or LVAD implantation respectively, there were no significant differences between the lowest and highest SES quartiles among important in-hospital outcomes including length of stay (adj B-coeff .56, (-3.59)-(4.71), p = .79 and adj B-coeff 2.40, (-.21)-(5.02), p = .07) and mortality (aOR 1.02, .61-1.70, p = .94 and aOR 1.08, .72-1.62, p = .73). There were also no differences based on SES quartile in important inpatient complications including stroke and cardiac arrest.

CONCLUSION

In this analysis from the National Inpatient Sample, we demonstrate that SES, evaluated by median zip code income, was not associated with important in-hospital metrics including mortality and length of stay among patients undergoing LVAD or HT.

Characteristics Associated With Telemonitoring Use Among Patients With Chronic Heart Failure: Retrospective Cohort Study

BACKGROUND

Chronic heart failure (HF) is a chronic disease affecting more than 64 million people worldwide, with an increasing prevalence and a high burden on individual patients and society. Telemonitoring may be able to mitigate some of this burden by increasing self-management and preventing use of the health care system. However, it is unknown to what degree telemonitoring has been adopted by hospitals and if the use of telemonitoring is associated with certain patient characteristics. Insight into the dissemination of this technology among hospitals and patients may inform strategies for further adoption.

OBJECTIVE

We aimed to explore the use of telemonitoring among hospitals in the Netherlands and to identify patient characteristics associated with the use of telemonitoring for HF.

METHODS

We performed a retrospective cohort study based on routinely collected health care claim data in the Netherlands. Descriptive analyses were used to gain insight in the adoption of telemonitoring for HF among hospitals in 2019. We used logistic multiple regression analyses to explore the associations between patient characteristics and telemonitoring use.

RESULTS

Less than half (31/84, 37%) of all included hospitals had claims for telemonitoring, and 20% (17/84) of hospitals had more than 10 patients with telemonitoring claims. Within these 17 hospitals, a total of 7040 patients were treated for HF in 2019, of whom 5.8% (409/7040) incurred a telemonitoring claim. Odds ratios (ORs) for using telemonitoring were higher for male patients (adjusted OR 1.90, 95% CI 1.50-2.41) and patients with previous hospital treatment for HF (adjusted OR 1.76, 95% CI 1.39-2.24). ORs were lower for higher age categories and were lowest for the highest age category, that is, patients older than 80 years (OR 0.30, 95% CI 0.21-0.44) compared to the reference age category (18-59 years). Socioeconomic status, degree of multimorbidity, and excessive polypharmacy were not associated with the use of telemonitoring.

CONCLUSIONS

The use of reimbursed telemonitoring for HF was limited up to 2019, and our results suggest that large variation exists among hospitals. A lack of adoption is therefore not only due to a lack of diffusion among hospitals but also due to a lack of scaling up within hospitals that already deploy telemonitoring. Future studies should therefore focus on both kinds of adoption and how to facilitate these processes. Older patients, female patients, and patients with no previous hospital treatment for HF were less likely to use telemonitoring for HF. This shows that some patient groups are not served as much by telemonitoring as other patient groups. The underlying mechanism of the reported associations should be identified in order to gain a deeper understanding of telemonitoring use among different patient groups.

Characteristics of heart failure in the Amsterdam metropolitan area (AMSTERDAM-HF): Data from a dynamic general practice cohort (2011-2021)

BACKGROUND

Heart failure (HF) is a common cardiac syndrome with a high disease burden and poor prognosis in our aging populations. Understanding the characteristics of patients with newly diagnosed HF is essential for improving care and outcomes. The AMSTERDAM-HF study is aimed to examine the population characteristics of patients with incident HF.

METHODS

We performed a retrospective dynamic cohort study in the Amsterdam general practice network consisting of 904,557 individuals. Incidence HF rates, geographical demographics, patient characteristics, risk factors, symptoms prior to HF diagnosis, and prognosis were reported.

RESULTS

The study identified 10,067 new cases of HF over 6,816,099 person-years. The median age of patients was 77 years (25th-75th percentile: 66-85), and 48% were male. The incidence rate of HF was 213.44 per 100,000 patient-years, and was higher in male versus female patients (incidence rate ratio: 1.08, 95%-CI:1.04-1.13). Hypertension (men 46.3% and women 55.8%), coronary artery disease (men 36% and women 25%) and diabetes mellitus (men 30.5% and women 26.8%) were the most common risk factors. Dyspnoea and oedema were key reported symptoms prior to HF diagnosis. Survival rates at 10-year follow-up were poor, particularly in men (36.4%) compared to women (39.7%). Incidence rates, comorbidity burden and prognosis were worse in city districts with high ethnic diversity and low socio-economic position.

CONCLUSION

Our study provides insights into incident HF in a contemporary Western European, multi-ethnic, urban population. It highlights notable sex, age, and geographical differences in incidence rates, risk factors, symptoms and prognosis.

Lagging behind the Western countries: the knowledge gaps of gender differences in heart failure in Asia

Gender differences in heart failure (HF), ranging from epidemiological and pathophysiological factors to therapeutic response and prognosis, have been well documented in Western countries, especially in Europe and North America. The above gender differences in HF found in Westerners are rarely investigated in Asians. In this review, we explore the worrying knowledge gap on the gender differences in HF that existed in Asia in contrast with Western populations based on the following four aspects: epidemiology, risk factors, therapy, and prognosis. Finally, we conclude that investigations of gender differences in HF in Asia lag behind those in Europe and North America. Future work is required to establish and better use the high-level, population-based cohorts and develop our own high-quality, convincing clinical trials to deliver robust gender-specific conclusions in Asia.

Marital status impact on the outcomes of patients admitted for acute decompensation of heart failure: A retrospective, single-center, analysis

BACKGROUND

Conflicting evidence exists regarding the association between marital status and outcomes in patients with heart failure (HF). Further, it is not clear whether type of unmarried status (never married, divorced, or widowed) disparities exist in this context.

HYPOTHESIS

We hypothesized that marital status will be associated with better outcomes in patients with HF.

METHODS

This single-center retrospective study utilized a cohort of 7457 patients admitted with acute decompensated HF (ADHF) between 2007 and 2017. We compared baseline characteristics, clinical indices, and outcomes of these patients grouped by their marital status. Cox regression analysis was used to explore the independency of the association between marital status and long-term outcomes.

RESULTS

Married patients accounted for 52% of the population while 37%, 9%, and 2% were widowed, divorced, and never married, respectively. Unmarried patients were older (79.8 ± 11.5 vs. 74.8 ± 11.1 years; p < 0.001), more frequently women (71.4% vs. 33.2%; p < 0.001), and less likely to have traditional cardiovascular comorbidities. Compared with married patients, all-cause mortality incidence was higher in unmarried patients at 30 days (14.7% vs. 11.1%, p < 0.001), 1 year, and 5 years (72.9% vs. 68.4%, p < 0.001). Nonadjusted Kaplan-Meier estimates for 5-year all-cause mortality by sex, demonstrated the best prognosis for married women, and by marital status in unmarried patients, the best prognosis was demonstrated in divorced patients while the worst was recorded in widowed patients. After adjustment for covariates, marital status was not found to be independently associated with ADHF outcomes.

CONCLUSIONS

Marital status is not independently associated with outcomes of patients admitted for ADHF. Efforts for outcomes improvement should focus on other, more traditional risk factors.

Inter-American Society of Cardiology (CIFACAH-ELECTROSIAC) and Latin-American Heart Rhythm Society (LAHRS): multidisciplinary review on the appropriate use of implantable cardiodefibrillator in heart failure with reduced ejection fraction

BACKGROUND

Our main objective was to present a multidisciplinary review on the epidemiology of sudden cardiac death (SCD) and the tools that could be used to identify malignant ventricular arrhythmias (VAs) and to perform risk stratification. In addition, indications and contraindications for the use of implantable cardioverter defibrillator (ICD) in general and in special populations including the elderly and patients with chronic kidney disease (CKD) are also given.

METHODS

An expert group from the Inter American Society of Cardiology (IASC), through their HF Council (CIFACAH) and Electrocardiology Council (ElectroSIAC), together with the Latin American Heart Rhythm Society (LAHRS), reviewed and discussed the literature regarding the appropriate use of an ICD in people with heart failure (HF) with reduced ejection fraction (HFpEF). Indications and contraindications for the use of ICD are presented in this multidisciplinary review.

RESULTS

Numerous clinical studies have demonstrated the usefulness of ICD in both primary and secondary prevention of SCD in HFpEF. There are currently precise indications and contraindications for the use of these devices.

CONCLUSIONS

In some Latin American countries, a low rate of implantation is correlated with low incomes, but this is not the case for all Latin America. Determinants of the low rates of ICD implantation in many Latin American countries are still a matter of research. VA remains one of the most common causes of cardiovascular death associated with HFrEF and different tools are available for stratifying the risk of SCD in this population.

Long term employment following heart transplantation in the United States

BACKGROUND

Employment is an important metric of post-transplant functional status and the quality of life yet remains poorly described after heart transplant. We sought to characterize the prevalence of employment following heart transplantation and identify patients at risk for post-transplant unemployment.

METHODS

Adults undergoing single-organ heart transplantation (2007-2016) were evaluated using the UNOS database. Univariable analysis was performed after stratifying by employment status at 1-year post-transplant. Fine-Gray competing risk regression was used for risk adjustment. Cox regression evaluated employment status at 1 year with mortality.

RESULTS

Of 10,132 heart transplant recipients who survived to 1 year and had follow-up, 22.0% were employed 1-year post-transplant. Employment rate of survivors increased to 32.9% by year 2. Employed individuals were more likely white (70.8% vs 60.4%, p < 0.01), male (79.6% vs 70.7% p < 0.01), held a job at listing/transplant (37.6% vs 7.6%, p < 0.01), and had private insurance (79.1% vs 49.5%, p < 0.01). Several characteristics were independently associated with employment including age, employment status at time of listing or transplant, race and ethnicity, gender, insurance status, education, and postoperative complications. Of 1,657 (14.0%) patients employed pretransplant, 58% were working at 1-year. Employment at 1year was independently associated with mortality with employed individuals having a 26% decreased risk of mortality.

CONCLUSION

Over 20% of heart transplant patients were employed at 1 year and over 30% at 2 years, while 58% of those working pretransplant had returned to work by 1-year. While the major predictor of post-transplant employment is preoperative employment status, our study highlights the impact of social determinants of health.

Impact of Race and Neighborhood Socioeconomic Characteristics on Liver Cancer Diagnosis in Patients with Viral Hepatitis and Cirrhosis

Background

Concerning data have revealed that viral hepatitis and hepatocellular carcinoma (HCC) disproportionally impact non-White patients and those from lower socioeconomic status. A recent study found that HCC clusters were more likely to be in high poverty areas in New York City.

Aims

We aim to investigate the impacts of neighborhood characteristics on those with viral hepatitis and cirrhosis, particularly with advanced HCC diagnosis.

Methods

Patients with cirrhosis and viral hepatitis admitted to a New York City health system between 2012 and 2019 were included. Those with prior liver transplants were excluded. Neighborhood characteristics were obtained from US Census. Our primary outcome was HCC and advanced HCC diagnosis.

Results

This study included 348 patients; 209 without history of HCC, 20 with early HCC, 98 with advanced HCC, and 21 patients with HCC but no staging information. Patients with advanced HCC were more likely to be older, male, Asian, history of HBV, and increased mortality. They were more likely to live in areas with more foreign-born, limited English speakers, and less than high school education. After adjusting for age, sex, and payor type, Asian race and low income were independent risk factors for advanced HCC. Neighborhood factors were not associated with mortality or readmissions.

Conclusion

We observed that in addition to age and sex, Asian race, lower household income, lower education, and lower English proficiency were associated with increased risk of advanced HCC. These disparities likely reflect suboptimal screening programs and linkage to care among vulnerable populations. Further efforts are crucial to validate and address these concerning disparities.

Regional management of worsening heart failure: rationale and design of the CHAIN-HF registry

AIMS

Heart failure (HF) is a progressive disease in which periods of clinical stability are interrupted by episodes of clinical deterioration known as worsening heart failure (WHF). Patients who develop WHF are at high risk of subsequent death, rehospitalization, and excessive healthcare costs. As such, WHF could be seen as a separate disease stage and precursor of advanced HF. Whether WHF has a substantial health, societal, and economic impact evidence regarding its multifactorial nature and the specific barriers in treatment, including advanced HF therapies, remains scarce. The CHAIN-HF registry aims to describe the incidence, characteristics, current treatment, and outcomes of WHF. Additionally, it will promote structured regional collaboration and educate on increasing awareness for WHF and describe the implementation of guideline directed medical therapy and utilization of advanced HF therapies in a collaborative network.

METHODS AND RESULTS

The CHAIN-HF registry is a prospective, observational, and multicentre study from the collaborating hospitals (Rijnmond HF Network) in the Rotterdam area. Unselected and consecutive patients (irrespective of ejection fraction) with a WHF event will be included. Comprehensive data including demographics, co-morbidities, treatment, and in-hospital and post-discharge outcomes will be collected. Notably, data on socio-economic status, treatment decisions, and referral for advanced HF therapies will be included.

CONCLUSIONS

CHAIN-HF will be the first prospective, dedicated WHF registry in a collaborative network of hospitals that will provide robust real-world evidence on the incidence, characteristics, and outcomes of WHF. Moreover, it will provide information on of the value of regional collaboration to improve awareness and outcomes of WHF.

Social Determinants of Health and Cardiologist Involvement in the Care of Adults Hospitalized for Heart Failure

Introduction

The involvement of a cardiologist in the care of adults during a hospitalization for heart failure (HF) is associated with reduced rates of in-hospital mortality and hospital readmission. However, not all patients see a cardiologist when they are hospitalized for HF. Since reasons for this are not entirely clear, we sought to determine whether social determinants of health (SDOH) are associated with cardiologist involvement in the management of adults hospitalized for HF. We hypothesized that SDOH would be inversely associated with cardiologist involvement in the care of adults hospitalized for HF.

Methods

We included adult participants from the national REasons for Geographic And Racial Difference in Stroke (REGARDS) cohort, who experienced an adjudicated hospitalization for HF between 2009 and 2017. We excluded participants who were hospitalized at institutions that lacked cardiology services (n=246). We examined nine candidate SDOH, which align with the Healthy People 2030 conceptual model: Black race, social isolation (0-1 visits from a family or friend in the past month), social network/caregiver availability (having someone to care for them if ill), educational attainment < high school, annual household income < $35,000, living in rural areas, living in a zip code with high poverty, living in a Health Professional Shortage Area, and residing in a state with poor public health infrastructure. The primary outcome was cardiologist involvement, a binary variable which was defined as involvement of a cardiologist as the primary responsible clinician or as a consultant, collected via chart review. We examined associations between each SDOH and cardiologist involvement using Poisson regression with robust standard errors. Candidate SDOH with statistically significant associations (p<0.10) were retained for multivariable analysis. Potential confounders/covariates for the multivariable analysis included age, race, sex, HF characteristics, comorbidities, and hospital characteristics.

Results

We examined 876 participants hospitalized at 549 unique US hospitals. The median age was 77.5 years (IQR 71.0-83.7), 45.9% were female, 41.4% were Black, and 56.2% had low income. Low household income (<$35,000/year) was the only SDOH that had a statistically significant association with cardiologist involvement in a bivariate analysis (RR: 0.88 [95% CI: 0.82-0.95]). After adjusting for potential confounders, low income remained inversely associated (RR: 0.89 [95% CI: 0.82-0.97]).

Conclusions

Adults with low household income were 11% less likely to have a cardiologist involved in their care during a hospitalization for HF. This suggests that socioeconomic status may implicitly bias the care provided to patients hospitalized for HF.

Educational inequalities in heart failure mortality and the cycles of the internal armed conflict in Colombia: An observational panel study of ecological data, 1999-2017

Heart failure (HF) is a significant clinical problem and an important public health issue due to the morbidity and mortality that it causes, especially in a population that is aging and affected by social stressors such as armed conflict. We aim to describe the inequalities and trends of HF mortality by educational level in Colombia between 1999 and 2017 compared with the cycles of the internal armed conflict during the same period. An observational study of ecological data panels, with aggregates at the national level, was conducted. Information from death certificates with HF as the basic cause of death (COD) was used. Variables of the year of death, sex, age, department of residence, and educational level were considered. Mortality rates adjusted for age were calculated. A joinpoint regression was used to model the trend of rates by educational level. We found that both men and women with primary education had the highest adjusted mortality rates: among men, RR_primary = 19.06 deaths/100,000 inhabitants, SE = 0.13 vs. RR_tertiary = 4.85, SE = 0.17, and similar differences among women. Mortality rates tended to decrease at all educational levels, with a greater reduction in people with higher educational levels. In both sexes, the behavior of the relative index of inequality showed significant inequality, albeit with a strong reduction during the last decade. Mortality due to HF in Colombia shows inequalities by educational level. In the prevention of HF, education should be considered a structural social determinant. In addition, we analyzed the potential role of the Colombian long-term armed conflict in the observed trends. We highlighted the role of the health sector, together with other sectors (education, work, and housing), in developing intersectoral public policies that contribute to the reduction of cardiovascular mortality disparities.

Global burden of heart failure: a comprehensive and updated review of epidemiology

Heart Failure (HF) is a multi-faceted and life-threatening syndrome characterized by significant morbidity and mortality, poor functional capacity and quality of life, and high costs. HF affects more than 64 million people worldwide. Therefore, attempts to decrease its social and economic burden have become a major global public health priority. While the incidence of HF has stabilized and seems to be declining in industrialized countries, the prevalence is increasing due to the ageing of the population, improved treatment of and survival with ischaemic heart disease, and the availability of effective evidence-based therapies prolonging life in patients with HF. There are geographical variations in HF epidemiology. There is substantial lack of data from developing countries, where HF exhibits different features compared with that observed in the Western world. In this review, we provide a contemporary overview on the global burden of HF, providing updated estimates on prevalence, incidence, outcomes, and costs worldwide.

Racial Inequities in Access to Ventricular Assist Device and Transplant Persist After Consideration for Preferences for Care: A Report From the REVIVAL Study

BACKGROUND

Racial disparities in access to advanced therapies for heart failure (HF) patients are well documented, although the reasons remain uncertain. We sought to determine the association of race on utilization of ventricular assist device (VAD) and transplant among patients with access to care at VAD centers and if patient preferences impact the effect.

METHODS

We performed an observational cohort study of ambulatory chronic systolic HF patients with high-risk features and no contraindication to VAD enrolled at 21 VAD centers and followed for 2 years in the REVIVAL study (Registry Evaluation of Vital Information for VADs in Ambulatory Life). We used competing events cause-specific proportional hazard methodology with multiple imputation for missing data. The primary outcomes were (1) VAD/transplant and (2) death. The exposures of interest included race (Black or White), additional demographics, captured social determinants of health, clinician-assessed HF severity, patient-reported quality of life, preference for VAD, and desire for therapies.

RESULTS

The study included 377 participants, of whom 100 (26.5%) identified as Black. VAD or transplant was performed in 11 (11%) Black and 62 (22%) White participants, although death occurred in 18 (18%) Black and 36 (13%) White participants. Black race was associated with reduced utilization of VAD and transplant (adjusted hazard ratio, 0.45 [95% CI, 0.23-0.85]) without an increase in death. Preferences for VAD or life-sustaining therapies were similar by race and did not explain racial disparities.

CONCLUSIONS

Among patients receiving care by advanced HF cardiologists at VAD centers, there is less utilization of VAD and transplant for Black patients even after adjusting for HF severity, quality of life, and social determinants of health, despite similar care preferences. This residual inequity may be a consequence of structural racism and discrimination or provider bias impacting decision-making.

REGISTRATION

URL: https://www.

CLINICALTRIALS

gov; Unique identifier: NCT01369407.

Impact of Socioeconomic Status on Emergency Department Visits in Patients With Atrial Fibrillation: A Nationwide Population-Based Cohort Study

Background Socioeconomic status (SES) differences could influence management and clinical outcomes in patients with atrial fibrillation (AF), reflecting health inequalities. The authors aimed to investigate emergency department (ED) visits in patients with AF according to SES level. Methods and Results The authors performed a cross-sectional analysis of ED visits in patients with nonvalvular AF using the Korean National Health Insurance Service database in 2016. The patients were divided into health premium quartiles and medical aid groups, with quartile 4 the highest SES and medical aid the lowest SES. Among patients with AF, patients who had ≥1 ED visits in 2016 were identified. The prevalence and cause of ED visits, 30- and 90-day mortality, and rehospitalization risk after ED visits were evaluated. Among the total 371 017 AF patients, 99 306 patients visited the ED in 2016. The medical aid group showed the highest ED visit rate (n=11 833, 38.0%), and patients with the highest quartile of SES (quartile 4 group) showed the lowest ED visit rate (n=38 037, 30.0%). The most common cause of ED visits was cerebral infarction in all groups. The 30- and 90-day mortality rates and rehospitalization risk after ED visits was higher in groups with lower SES. Conclusions Patients with AF and with lower SES had a higher risk of ED visit rate, higher 30- and 90-day mortality rates, and rehospitalization risk after ED visit. Tailored AF management according to different SES levels in patients with AF is needed to improve clinical outcomes.

Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications

Substantial milestones have been attained in the field of heart failure (HF) diagnostics and therapeutics in the past several years that have translated into decreased mortality but a paradoxical increase in HF-related hospitalizations. With increasing data digitalization and access, remote monitoring via wearables and implantables have the potential to transform ambulatory care workflow, with a particular focus on reducing HF hospitalizations. Additionally, artificial intelligence and machine learning (AI/ML) have been increasingly employed at multiple stages of healthcare due to their power in assimilating and integrating multidimensional multimodal data and the creation of accurate prediction models. With the ever-increasing troves of data, the implementation of AI/ML algorithms could help improve workflow and outcomes of HF patients, especially time series data collected via remote monitoring. In this review, we sought to describe the basics of AI/ML algorithms with a focus on time series forecasting and the current state of AI/ML within the context of wearable technology in HF, followed by a discussion of the present limitations, including data integration, privacy, and challenges specific to AI/ML application within healthcare.

Macro-level drivers of SARS-CoV-2 transmission: A data-driven analysis of factors contributing to epidemic growth during the first wave of outbreaks in the United States

BACKGROUND

Many questions remain unanswered about how SARS-CoV-2 transmission is influenced by aspects of the economy, environment, and health. A better understanding of how these factors interact can help us to design early health prevention and control strategies, and develop better predictive models for public health risk management of SARS-CoV-2. This study examines the associations between COVID-19 epidemic growth and macro-level determinants of transmission such as demographic, socio-economic, climate and health factors, during the first wave of outbreaks in the United States.

METHODS

A spatial-temporal data-set was created from a variety of relevant data sources. A unique data-driven study design was implemented to assess the relationship between COVID-19 infection and death epidemic doubling times and explanatory variables using a Generalized Additive Model (GAM).

RESULTS

The main factors associated with infection doubling times are higher population density, home overcrowding, manufacturing, and recreation industries. Poverty was also an important predictor of faster epidemic growth perhaps because of factors associated with in-work poverty-related conditions, although poverty is also a predictor of poor population health which is likely driving infection and death reporting. Air pollution and diabetes were other important drivers of infection reporting. Warmer temperatures are associated with slower epidemic growth, which is most likely explained by human behaviors associated with warmer locations i.e. ventilating homes and workplaces, and socializing outdoors. The main factors associated with death doubling times were population density, poverty, older age, diabetes, and air pollution. Temperature was also slightly significant slowing death doubling times.

CONCLUSIONS

Such findings help underpin current understanding of the disease epidemiology and also supports current policy and advice recommending ventilation of homes, work-spaces, and schools, along with social distancing and mask-wearing. Given the strong associations between doubling times and the stringency index, it is likely that those states that responded to the virus more quickly by implementing a range of measures such as school closing, workplace closing, restrictions on gatherings, close public transport, restrictions on internal movement, international travel controls, and public information campaigns, did have some success slowing the spread of the virus.

Disparities in cardiovascular disease prevalence among middle-aged and older adults: Roles of socioeconomic position, social connection, and behavioral and physiological risk factors

Introduction

Cardiovascular disease (CVD) remains the leading cause of premature death globally and a major contributor to decreasing quality of life. In the present study, we investigated the contribution of social, behavioral, and physiological determinants of CVD and their different patterns among middle-aged and older adults.

Methods

We used harmonized data from 6 nationally representative individual-level longitudinal studies across 25 countries. We restricted the age to ≥50 years and defined cases as a self-reported history of CVD. The exposure variables were the demographic status (age and sex), socioeconomic position (education level, employment, and household income level), social connections (marital status and family size), behavioral factors (smoking, alcohol drinking, and frequency of moderate to vigorous physical activity), and physiological risk factors (obesity, presence of hypertension, and presence of diabetes). Mixed logistic regression models were fitted to investigate the associations, and dominance analysis was conducted to examine the relative contributions.

Results

In total, 413,203 observations were included in the final analysis, with the CVD prevalence ranging from 10.4% in Mexico to 28.8% in the United States. Physiological risk factors were the main driver of CVD prevalence with the highest dominance proportion, which was higher in developing countries (China, 57.5%; Mexico, 72.8%) than in developed regions (United States, England, 10 European countries, and South Korea). Socioeconomic position and behavioral factors also highly contributed but were less significant in developing countries than in developed regions. The relative contribution of socioeconomic position ranged from 9.4% in Mexico to 23.4% in the United States, and that of behavioral factors ranged from 5.7% in Mexico to 26.1% in England.

Conclusion

The present study demonstrated the different patterns of determinant contributions to CVD prevalence across developing and developed countries. With the challenges produced by different risk factors, the implementation of tailored prevention and control strategies will likely narrow disparities in the CVD prevalence by promoting health management and enhancing the capacity of health systems across different countries.

High Fitness Levels Offset the Increased Risk of Chronic Kidney Disease due to Low Socioeconomic Status: A Prospective Study

BACKGROUND

Socioeconomic status (SES) and cardiorespiratory fitness (CRF) are each independently associated with chronic kidney disease. The interplay among SES, CRF, and chronic kidney disease is not well understood. We aimed to evaluate the separate and joint associations of SES and CRF with chronic kidney disease risk in a cohort of Caucasian men.

METHODS

In 2099 men aged 42-61 years with normal kidney function at baseline, SES was self-reported and CRF was directly measured using a respiratory gas exchange analyzer during cardiopulmonary exercise testing. Hazard ratios (HRs) (95% confidence interval) were estimated for chronic kidney disease.

RESULTS

A total of 197 chronic kidney disease events occurred during a median follow-up of 25.8 years. Comparing low versus high SES, the multivariable-adjusted HR (95% confidence interval) for chronic kidney disease was 1.55 (1.06-2.25), which remained consistent on further adjustment for CRF 1.53 (1.06-2.22). Comparing high versus low CRF, the multivariable-adjusted HR for chronic kidney disease was 0.66 (0.45-0.96), which persisted on further adjustment for SES 0.67 (0.46-0.97). Compared with high SES-high CRF, low SES-low CRF was associated with an increased risk of chronic kidney disease 1.88 (1.23-2.87), with no evidence of an association for low SES-high CRF and chronic kidney disease risk 1.32 (0.85-2.05). Positive additive (relative excess risk due to interaction = 0.31) and multiplicative (ratio of HRs = 1.14) interactions were found between SES and CRF in relation to chronic kidney disease risk.

CONCLUSIONS

In middle-aged and older males, SES and CRF are each independently associated with risk of incident chronic kidney disease. There exists an interplay among SES, CRF and chronic kidney disease risk, with high CRF levels appearing to offset the increased chronic kidney disease risk related to low SES.

Factors influencing prescribing by critical care physicians to heart failure patients in Egypt: a cross-sectional survey

Background

Heart failure (HF) guideline-led prescribing improves patient outcomes; however, little is known about the factors influencing guideline-led prescribing in critical care settings. This study used a cross-sectional survey to assess the factors that influence physicians when prescribing to heart failure patients in a critical care setting in Egypt.

Results

The response rate was 54.8%. The international HF guidelines were the primary source of prescribing information for 84.2% of respondents. Staff were more familiar with the latest guideline recommendations than associate staff (86.7% vs 36.8%, p = 0.012) and considered patient’s perspectives more often (86.7% vs 26.3%, p = 0.036). Renal function was the clinical factor that most frequently influenced the prescribing of loop diuretics or renin–angiotensin–aldosterone system inhibitors. Pulmonary function influenced beta-blockers prescription. The most frequently cited barrier to guideline-led prescribing was the absence of locally drafted guidelines. A majority of prescribers agreed that implementation of clinical pharmacy services, physician education and electronic reminders may improve the implementation of guideline-led prescribing.

Conclusions

Although experienced physicians are familiar with and use international guidelines, physicians would welcome local guidance on HF prescribing and greater clinical pharmacist input.

Subclinical Risk Factors for Heart Failure With Preserved and Reduced Ejection Fraction Among Black Adults

Importance

Sparse data exist regarding the contributions of subclinical impairments in cardiovascular and noncardiovascular function to incident heart failure (HF) with reduced ejection fraction (HFrEF) and preserved ejection fraction (HFpEF) among Black US residents, limiting understanding of the etiology of HF subtypes.

Objectives

To identify subclinical cardiovascular and noncardiovascular risk factors associated with HFrEF and HFpEF in Black US residents.

Design, Setting, and Participants

This cohort study used cross-sectional and time-to-event analysis with data from the community-based Jackson Heart Study (JHS), a longitudinal cohort study with baseline data collected from 2000 to 2004 (visit 1) and 10-year follow-up for incident HF. Black US residents from the Jackson, Mississippi, metropolitan area enrolled in JHS; those with prevalent HF, with moderate or greater aortic or mitral valve diseases on visit 1, who died before 2005, and who had missing HF status on follow-up were excluded. The analysis included 4361 participants and was performed between June 2020 to August 2021.

Exposures

Quantitative measures of cardiovascular (left ventricular mass index [LVMI], left ventricular ejection fraction [LVEF], left atrial [LA] diameter, and pulse pressure) and noncardiovascular (percent predicted forced expiration volume in 1 second [FEV1 (percent predicted)], estimated glomerular filtration rate (eGFR), waist circumference, and hemoglobin A1c [HbA1c] level) organ function.

Main Outcomes and Measures

Incident HF, HFrEF, and HFpEF over 10-year follow-up.

Results

The 4361 participants had a mean (SD) age of 54 (13); 2776 (64%) were women; and there were 163 HFpEF and 146 HFrEF events. In multivariable models incorporating measures reflecting each organ system, factors associated with incident HFpEF included greater LA diameter (hazard ratio [HR], 1.23; 95% CI, 1.03-1.47; P = .02), higher pulse pressure (HR, 1.23; 95% CI, 1.05-1.44; P = .009), lower FEV1 (percent predicted) (HR, 1.22; 95% CI, 1.04-1.43; P = .02), lower eGFR (HR, 1.43; 95% CI, 1.19-1.72; P < .001), higher HbA1c level (HR, 1.25; 95% CI, 1.07-1.45; P = .005), and higher waist circumference (HR, 1.41; 95% CI, 1.18-1.69; P < .001). Factors associated with incident HFrEF included greater LVMI (HR, 1.25; 1.07-1.46; P = .005), lower LVEF (HR, 1.65; 95% CI, 1.42-1.91; P < .001), lower FEV1 (percent predicted) (HR, 1.19; 95% CI, 1.00-1.42; P = .047), and lower eGFR (HR, 1.27; 95% CI, 1.04-1.55; P = .02).

Conclusions and Relevance

In this community-based cohort study of Black US residents, subclinical impairments in cardiovascular and noncardiovascular organ function were differentially associated with risk of incident HFpEF and HFrEF.

Drug-related problems among hospitalized hypertensive and heart failure patients and physician acceptance of pharmacists' interventions at a teaching hospital in Ghana

Background

Hypertensive and heart failure patients frequently require multiple drug therapy which may be associated with drug-related problems (DRPs).

Aim

To determine the frequency, types, and predictors of DRPs, and acceptance of pharmacists' interventions among hospitalized hypertensive and heart failure patients.

Method

It was a prospective cross-sectional study at the internal medicine department wards of Korle Bu Teaching Hospital (KBTH) between January and June 2019 using a validated form (the pharmaceutical care form used by clinical pharmacists at the medical department). DRPs were classified based on the Pharmaceutical Care Network Europe (PCNE) Classification scheme for DRPs V8.02. Descriptive and inferential statistics were used for data analysis.

Results

A total of 247 DRPs were identified in 134 patients. The mean number of DRPs was 1.84 (SD: 1.039) per patient. Most DRPs occurred during the prescribing process (40.5%; n(DRPs) = 100), and the highest prescribing problem was untreated indication (11.7%; n = 29). Other frequent DRPs were medication counseling need (25.1%; n = 62), administration errors 10.1%(n = 25), drug interaction (10.5%; n = 26), and "no" or inappropriate monitoring (10.5%; n = 26). The number of drugs received significantly predicted the number of DRPs (adjusted odds ratio [AOR]: 9.85; 95% CI: 2.04-47.50; p < 0.001). Clinical variables were significant predictors of number of DRPs (diabetic status: AOR: 0.41, 95% CI: 0.18-0.98, p < 0.05; statin use: AOR: 0.34, 95% CI: 0.14-0.81, p < 0.05; antiplatelet use: AOR: 5.95, 95% CI: 2.03-17.48, p < 0.01). Average acceptance of interventions by physicians was 71.6% (SD: 11.7). Most (70.6%; n = 48) accepted interventions were implemented by physicians (resolved).

Conclusion

DRPs frequently occur, with most problems identified in the prescribing process. Medication counseling was frequently needed. Patients' number of drugs and clinical factors predicted the occurrence of DRPs. Physicians accepted and implemented most interventions. Our findings suggest that clinical pharmacists have an important role in cardiovascular patient care, but this study should be replicated in other hospitals in Ghana to corroborate these findings.

Establishing Care Post Discharge Following a Heart Failure Hospitalization in an Uninsured Heart Failure Population

Multidisciplinary interprofessional outpatient care improves mortality for patients with heart failure (HF) but is underutilized. We sought to identify factors associated with not establishing outpatient care among uninsured individuals with HF. We included uninsured individuals referred to an interprofessional clinic after a hospitalization with HF from 2016 to 2019. The primary outcome was establishing care, defined as presenting to clinic within 7 days of discharge from the hospital. We constructed multivariable adjusted logistic regression models to identify predictors of establishing care. A total of 698 uninsured individuals were referred, of whom 583 (84%) established care. Mean age was 49.5 ± 11 years, 15% were rural-dwelling, 59% were black, and 31% were female. Black participants who were rural-dwelling (adusted odds ratio [aOR] 0.07, 95% confidence interval [CI] 0.03 to 0.17) or reported alcohol use (aOR 0.32, 95% CI 0.16 to 0.64) had lower odds of establishing care. White participants who were rural-dwelling (aOR 2.63, 95% CI 1.17 to 5.90) had higher odds of establishing care. Uninsured black individuals with HF who live in rural communities or who are active alcohol users represent a group that is at high risk of not establishing outpatient follow-up after a hospitalization with HF. Efforts to reduce this disparity are warranted to improve health outcomes in this population.

Racial and Sex Inequities in the Use of and Outcomes After Left Ventricular Assist Device Implantation Among Medicare Beneficiaries

Importance

While left ventricular assist devices (LVADs) increase survival for patients with advanced heart failure (HF), racial and sex access and outcome inequities remain and are poorly understood.

Objectives

To assess risk-adjusted inequities in access and outcomes for both Black and female patients and to examine heterogeneity in treatment decisions among patients for whom clinician discretion has a more prominent role.

Design, Setting, and Participants

This retrospective cohort study of 12 310 Medicare beneficiaries used 100% Medicare Fee-for-Service administrative claims. Included patients had been admitted for heart failure from 2008 to 2014. Data were collected from July 2007 to December 2015 and analyzed from August 23, 2020, to May 15, 2022.

Exposures

Beneficiary race and sex.

Main Outcomes and Measures

The propensity for LVAD implantation was based on clinical risk factors from the 6 months preceding HF admission using XGBoost and the synthetic minority oversampling technique. Beneficiaries with a 5% or greater probability of receiving an LVAD were included. Logistic regression models were estimated to measure associations of race and sex with LVAD receipt adjusting for clinical characteristics and social determinants of health (eg, distance from LVAD center, Medicare low-income subsidy, neighborhood deprivation). Next, 1-year mortality after LVAD was examined.

Results

The analytic sample included 12 310 beneficiaries, of whom 22.9% (n = 2819) were Black and 23.7% (n = 2920) were women. In multivariable models, Black beneficiaries were 3.0% (0.2% to 5.8%) less likely to receive LVAD than White beneficiaries, and women were 7.9% (5.6% to 10.2%) less likely to receive LVAD than men. Individual poverty and worse neighborhood deprivation were associated with reduced use, 2.9% (0.4% to 5.3%) and 6.7% (2.9% to 10.5%), respectively, but these measures did little to explain observed disparities. The racial disparity was concentrated among patients with a low propensity score (propensity score <0.52). One-year survival by race and sex were similar on average, but Black patients with a low propensity score experienced improved survival (7.2% [95% CI, 0.9% to 13.5%]).

Conclusions and Relevance

In this cohort study of Medicare beneficiaries hospitalized for HF, disparities in LVAD use by race and sex existed and were not explained by clinical characteristics or social determinants of health. The treatment and post-LVAD survival by race were equivalent among the most obvious LVAD candidates. However, there was differential use and outcomes among less clear-cut LVAD candidates, with lower use but improved survival among Black patients. Inequity in LVAD access may have resulted from differences in clinician decision-making because of systemic racism and discrimination, implicit bias, or patient preference.

Associations of Socioeconomic Status and Healthy Lifestyle With Incidence of Dyslipidemia: A Prospective Chinese Governmental Employee Cohort Study

Objective

The purpose of the study was to test whether primary lifestyles mediate associations of SES with incidence of dyslipidemia and to explore interaction relations of lifestyles and SES with incidence of dyslipidemia.

Methods

We included 9,901 individuals at baseline from January 2018 to November 2019, and incidence data were updated to 31 December 2020. Dyslipidemia was defined as total cholesterol (TC) 6.2 mmol/L TC ≥ or triglycerides (TG) ≥2.3 mmol/L or low-density lipoprotein cholesterol (LDL-C) ≥4.1 mmol/L or high-density lipoprotein cholesterol (HDL-C) <1.0 mmol/L; or physician diagnosed dyslipidemia or lipid-lowering drugs use. Lifestyles, socioeconomic factors, and personal characteristics were collected by a questionnaire. A latent class analysis based on education, family income, and occupational position was used to assess the SES. Lifestyle score was calculated using cigarette smoking, alcohol consumption, physical activity, and diet. Cox proportional hazard models and multivariate analyses were used to explore the associations. The mediation effect was evaluated using bootstrap method.

Results

Participant mean age was 36.5 years (SD = 0.11). The cumulative incidence of dyslipidemia was 11.0% over a mean follow-up of 13.4 months. Compared with participants of high SES, those with low SES had higher risk of incidence of dyslipidemia [hazard ratio 1.32, 95% confidence interval (CI): 1.01–1.73], after adjusting for lifestyle scores and other covariates. The proportion mediated by lifestyles was 5.41% (95%CI: 4.17–7.11). A significant additive interaction was found between lifestyles and SES, whereas association between lifestyle and incidence of dyslipidemia was stronger among those of high SES. Additionally, individuals with low SES and no or one healthy lifestyle behavior had a higher risk of developing dyslipidemia than those with high SES and 3 or 4 healthy lifestyles.

Conclusion

Unhealthy lifestyles play a small moderating role in socioeconomic inequity in incidence of dyslipidemia among Chinese governmental employees, suggesting that promoting healthy lifestyles alone may not significantly reduce socioeconomic inequalities in health, and measures to address other social determinants of health should also be considered alongside.

The effects of demographic, psychosocial, and socioeconomic characteristics on access to heart transplantation and left ventricular assist device

Background

This study aims to better understand how demographic, psychosocial, and socioeconomic factors influence the selection of patients for advanced therapies for heart failure (heart transplant and left ventricular assist device (LVAD)).

Methods

Patients evaluated for heart transplant or LVAD at a large, Midwestern hospital system were assessed retrospectively. Three outcomes were analyzed: 1) Patients who were evaluated and approved to receive a transplant or LVAD were compared to patients who were not approved for transplant or LVAD; 2) Patients who were listed for transplant were compared to patients not listed; and 3) Patients who received a transplant or LVAD were compared to patients who did not receive a transplant or LVAD. ANOVA was used for continuous variables and Chi-squared test for categorical variables. Significant variables were further analyzed by logistic regression.

Results

Four hundred fifty-nine patients were included. Marital status (p = 0.004), race (p = 0.008), social support (p < 0.001), mental health (p = 0.006), and substance use (p < 0.001) were associated with whether patients were approved for transplant or LVAD. Patients with public insurance were half as likely (OR 0.495) to be listed for transplant once approved.

Conclusions

Financial, psychosocial, and demographic characteristics all play a role in selection for advanced therapies for heart failure. These insights can help guide future work on interventions to address the social disparities in access to heart transplant and LVAD.