Bias in team decision-making for advanced heart failure therapies: model application.

Bias in advanced heart failure therapy allocation results in inequitable outcomes for minoritized populations. The purpose of this study was to examine how bias is introduced during group decision-making with an interprofessional team using Breathett's Model of Heart Failure Decision-Making. This was a secondary qualitative descriptive analysis from a study focused on bias in advanced heart failure therapy allocation. Team meetings were recorded and transcribed from four heart failure centers. Breathett's Model was applied both deductively and inductively to transcripts (n = 12). Bias was identified during discussions about patient characteristics, clinical fragility, and prior clinical decision-making. Some patients were labeled as "good citizens" or as adherent/non-adherent while others benefited from strong advocacy from interprofessional team members. Social determinants of health also impacted therapy allocation. Interprofessional collaboration with advanced heart failure therapy allocation may be enhanced with the inclusion of patient advocates and limit of clinical decision-making using subjective data.

Controversies and Conundrums in Cardiac Cachexia: Key Questions About Wasting in Patients With HFrEF.

Cardiac cachexia is characterized by unintentional catabolic weight loss, decreased appetite, and inflammation and is common in patients with stage D (advanced) heart failure with reduced ejection fraction (HFrEF). Cardiac cachexia and related muscle-wasting syndromes are markers of, and a consequence of, the heart failure (HF) syndrome. Although many potential modalities for identifying cardiac cachexia exist, the optimal definition, diagnostic tools, and treatment options for cardiac cachexia remain unclear. Furthermore, it remains unclear whether attempts to reverse muscle wasting prior to advanced HF surgeries, such as left ventricular assist devices and heart transplantation, can improve outcomes. It is important that HF clinicians and dietitians are aware of the pathophysiology and mechanisms of muscle-wasting syndromes in patients with HF, to aid in the recognition and risk stratification of advanced HFrEF. Although the opportunities and rationale for attempting to address cardiac cachexia prior to advanced HF surgeries are uncertain, recent publications suggest that control of the neurohumoral syndrome of advanced HF may be important to permit the recovery of skeletal muscle mass.

Association of Psychosocial Risk Factors With Quality of Life and Readmissions 1 Year After LVAD Implantation.

BACKGROUND: Among patients with advanced heart failure (HF), treatment with a left ventricular assist device (LVAD) improves health-related quality of life (HRQOL). We investigated the association between psychosocial risk factors, HRQOL and outcomes after LVAD implantation. METHODS: A retrospective cohort (n = 9832) of adults aged ≥ 19 years who received durable LVADs between 2008 and 2017 was identified by using the Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS). Patients were considered to have psychosocial risk factors if ≥ 1 of the following were present: (1) substance abuse; (2) limited social support; (3) limited cognitive understanding; (4) repeated nonadherence; and (5) major psychiatric disease. Multivariable logistic and linear regression models were used to evaluate the association between psychosocial risk factors and change in Kansas City Cardiomyopathy Questionnaire (KCCQ)-12 scores from baseline to 1 year, persistently poor HRQOL (KCCQ-12 score < 45 at baseline and 1 year), and 1-year rehospitalization. RESULTS: Among the final analytic cohort, 2024 (20.6%) patients had ≥ 1 psychosocial risk factors. Psychosocial risk factors were associated with a smaller improvement in KCCQ-12 scores from baseline to 1 year (mean ± SD, 29.1 ± 25.9 vs 32.6 ± 26.1; P = 0.015) for a difference of -3.51 (95% confidence interval [CI]: -5.88 to -1.13). Psychosocial risk factors were associated with persistently poor HRQOL (adjusted odds ratio [aOR] 1.35, 95% confidence interval [CI] 1.04-1.74), and 1-year all-cause readmission (adjusted hazard ratio [aHR] 1.11, 95% CI 1.05-1.18). Limited social support, major psychiatric disorder and repeated nonadherence were associated with persistently poor HRQOL, while major psychiatric disorder was associated with 1-year rehospitalization. CONCLUSION: The presence of psychosocial risk factors is associated with lower KCCQ-12 scores and higher risk for readmission at 1 year after LVAD implantation. These associations are statistically significant, but further research is needed to determine whether these differences are clinically meaningful.

Implementation Science to Achieve Equity in Heart Failure Care: A Scientific Statement From the American Heart Association.

Guideline-directed medical therapies and guideline-directed nonpharmacological therapies improve quality of life and survival in patients with heart failure (HF), but eligible patients, particularly women and individuals from underrepresented racial and ethnic groups, are often not treated with these therapies. Implementation science uses evidence-based theories and frameworks to identify strategies that facilitate uptake of evidence to improve health. In this scientific statement, we provide an overview of implementation trials in HF, assess their use of conceptual frameworks and health equity principles, and provide pragmatic guidance for equity in HF. Overall, behavioral nudges, multidisciplinary care, and digital health strategies increased uptake of therapies in HF effectively but did not include equity goals. Few HF studies focused on achieving equity in HF by engaging stakeholders, quantifying barriers and facilitators to HF therapies, developing strategies for equity informed by theory or frameworks, evaluating implementation measures for equity, and titrating strategies for equity. Among these HF equity studies, feasibility was established in using various educational strategies to promote organizational change and equitable care. A couple include ongoing randomized controlled pragmatic trials for HF equity. There is great need for additional HF implementation trials designed to promote delivery of equitable guideline-directed therapy.

Differences in Donor Heart Acceptance by Race and Gender of Patients on the Transplant Waiting List.

Importance: Barriers to heart transplant must be overcome prior to listing. It is unclear why Black men and women remain less likely to receive a heart transplant after listing than White men and women. Objective: To evaluate whether race or gender of a heart transplant candidate (ie, patient on the transplant waiting list) is associated with the probability of a donor heart being accepted by the transplant center team with each offer. Design, Setting, and Participants: This cohort study used the United Network for Organ Sharing datasets to identify organ acceptance with each offer for US non-Hispanic Black (hereafter, Black) and non-Hispanic White (hereafter, White) adults listed for heart transplant from October 18, 2018, through March 31, 2023. Exposures: Black or White race and gender (men, women) of a heart transplant candidate. Main Outcomes and Measures: The main outcome was heart offer acceptance by the transplant center team. The number of offers to acceptance was assessed using discrete time-to-event analyses, nonparametrically (stratified by race and gender) and parametrically. The hazard probability of offer acceptance for each offer was modeled using generalized linear mixed models adjusted for candidate-, donor-, and offer-level variables. Results: Among 159 177 heart offers with 13 760 donors, there were 14 890 candidates listed for heart transplant; 30.9% were Black, 69.1% were White, 73.6% were men, and 26.4% were women. The cumulative incidence of offer acceptance was highest for White women followed by Black women, White men, and Black men (P < .001). Odds of acceptance were less for Black candidates than for White candidates for the first offer (odds ratio [OR], 0.76; 95% CI, 0.69-0.84) through the 16th offer. Odds of acceptance were higher for women than for men for the first offer (OR, 1.53; 95% CI, 1.39-1.68) through the sixth offer and were lower for the 10th through 31st offers. Conclusions and Relevance: The cumulative incidence of heart offer acceptance by a transplant center team was consistently lower for Black candidates than for White candidates of the same gender and higher for women than for men. These disparities persisted after adjusting for candidate-, donor-, and offer-level variables, possibly suggesting racial and gender bias in the decision-making process. Further investigation of site-level decision-making may reveal strategies for equitable donor heart acceptance.

Association between social vulnerability index and admission urgency for transcatheter aortic valve replacement.

Background: Transcatheter aortic valve replacement (TAVR) are not offered equitably to vulnerable population groups. Adequate levels of insurance may narrow gaps among patients with higher social vulnerability index (SVI). Among a national population of individuals with commercial or Medicare insurance, we sought to determine whether SVI was associated with urgency of receipt of TAVR for aortic stenosis. Methods and results: Using Optum's de-identified Clinformatics Data Mart Database (CDM), we identified admissions for TAVR with aortic stenosis between January 2018 and March 2022. Admission urgency was identified by CDM claims codes. SVI was cross-referenced to patient zip codes and grouped into quintiles. Generalized linear mixed effects models were used to predict the probability of a TAVR admission being urgent based on SVI quintiles, adjusting for patient and hospital-level covariates. Results: Among 6680 admissions for TAVR [median age 80 years (interquartile range 75-85), 43.9 % female], 8.5 % (n = 567) were classified as urgent. After adjusting for patient and hospital-level variables, there were no significant differences in the odds of urgent admission for TAVR according to SVI quintiles [OR 5th (greatest social vulnerability) vs 1st quintile (least social vulnerability): 1.29 (95 % CI: 0.90-1.85)]. Conclusions: Among commercial or Medicare beneficiaries with aortic stenosis, SVI was not associated with admission urgency for TAVR. To clarify whether cardiovascular care delivery is improved across SVI with higher paying beneficiaries, future investigation should identify whether relationships between SVI and TAVR urgency vary for Medicaid beneficiaries compared to commercial beneficiaries.

Characterizing advanced heart failure risk and hemodynamic phenotypes using interpretable machine learning.

BACKGROUND: Although previous risk models exist for advanced heart failure with reduced ejection fraction (HFrEF), few integrate invasive hemodynamics or support missing data. This study developed and validated a heart failure (HF) hemodynamic risk and phenotyping score for HFrEF, using Machine Learning (ML). METHODS: Prior to modeling, patients in training and validation HF cohorts were assigned to 1 of 5 risk categories based on the composite endpoint of death, left ventricular assist device (LVAD) implantation or transplantation (DeLvTx), and rehospitalization in 6 months of follow-up using unsupervised clustering. The goal of our novel interpretable ML modeling approach, which is robust to missing data, was to predict this risk category (1, 2, 3, 4, or 5) using either invasive hemodynamics alone or a rich and inclusive feature set that included noninvasive hemodynamics (all features). The models were trained using the ESCAPE trial and validated using 4 advanced HF patient cohorts collected from previous trials, then compared with traditional ML models. Prediction accuracy for each of these 5 categories was determined separately for each risk category to generate 5 areas under the curve (AUCs, or C-statistics) for belonging to risk category 1, 2, 3, 4, or 5, respectively. RESULTS: Across all outcomes, our models performed well for predicting the risk category for each patient. Accuracies of 5 separate models predicting a patient's risk category ranged from 0.896 +/- 0.074 to 0.969 +/- 0.081 for the invasive hemodynamics feature set and 0.858 +/- 0.067 to 0.997 +/- 0.070 for the all features feature set. CONCLUSION: Novel interpretable ML models predicted risk categories with a high degree of accuracy. This approach offers a new paradigm for risk stratification that differs from prediction of a binary outcome. Prospective clinical evaluation of this approach is indicated to determine utility for selecting the best treatment approach for patients based on risk and prognosis.

Change in Systemic Arterial Pulsatility Index (SAPi) during Heart Failure Hospitalization is Associated with Improved Outcomes.

Study Objective: To identify Change in Systemic Arterial Pulsatitlity index (ΔSAPi) as a novel hemodynamic marker associated with outcomes in heart failure (HF). Design: The ESCAPE trial was a randomized controlled trial. Setting: The ESCAPE trial was conducted at 26 sites. Participants: 134 patients were analyzed (mean age 56.8 ± 13.4 years, 29% female). Interventions: We evaluated the change in SAPi, ([systemic pulse pressure/pulmonary artery wedge pressure) obtained at baseline and at the final hemodynamic measurement in the ESCAPE trial. Main Outcome Measures: Change in SAPi, (ΔSAPi), was analyzed for the primary outcomes of death, heart transplant, left ventricular assist device (DTxLVAD) or hospitalization, (DTxLVADHF) and secondary outcome of DTxLVAD using Cox proportional hazards regression. Results: Median change in SAPi was 0.81 (IQR 0.20-1.68). ΔSAPi in uppermost quartile was associated with reductions in DTxLVADHF (HR 0.55 [95% CI 0.32, 0.93]). ΔSAPi in the uppermost and lowermost quartiles combined was similarly associated with significant reductions in DTxLVADHF (HR 0.62 [95% CI 0.41, 0.94]). ΔSAPi higher than 1.17 was associated with improved DTxLVADHF. ΔSAPi was also associated with troponin levels at discharge (regression coefficient p = 0.001) and trended with 6-minute walk at discharge (Spearman correlation r = 0.179, p = 0.058). Conclusion: ΔSAPi was strongly associated with improved HF clinical profile and adverse outcomes. These findings support further exploration of Δ SAPi in the risk stratification of HF.

Echocardiographic derived pulmonary artery wedge pressure is associated with mortality, heart hospitalizations, and functional capacity in chronic systolic heart failure: insights from the HF-ACTION trial.

BACKGROUND: Heart Failure (HF) is associated with increased morbidity and mortality. Identification of patients at risk for adverse events could lead to improved outcomes. Few studies address the association of echocardiographic-derived PAWP with exercise capacity, readmissions, and mortality in HF. METHODS: HF-ACTION enrolled 2331 outpatients with HF with reduced ejection fraction (HFrEF) who were randomized to aerobic exercise training versus usual care. All patients underwent baseline echocardiography. Echocardiographic-derived PAWP (ePAWP) was assessed using the Nagueh formula. We evaluated the relationship between ePAWP to clinical outcomes. RESULTS: Among the 2331 patients in the HF-ACTION trial, 2125 patients consented and completed follow-up with available data. 807 of these patients had complete echocardiographic data that allowed the calculation of ePAWP. Of this cohort, mean age (SD) was 58 years (12.7), and 255 (31.6%) were female. The median ePAWP was 14.06 mmHg. ePAWP was significantly associated with cardiovascular death or HF hospitalization (Hazard ratio [HR] 1.02, coefficient 0.016, CI 1.002-1.030, p = 0.022) and all-cause death or HF hospitalization (HR 1.01, coefficient 0.010, CI 1.001-1.020, p = 0.04). Increased ePAWP was also associated with decreased exercise capacity leading to lower peak VO2 (p = < 0.001), high Ve/VCO2 slope (p = < 0.001), lower exercise duration (p = < 0.001), oxygen uptake efficiency (p = < 0.001), and shorter 6-MWT distance (p = < 0.001). CONCLUSIONS: Among HFrEF patients, echocardiographic-derived PAWP was associated with increased mortality, reduced functional capacity and heart failure hospitalization. ePAWP may be a viable noninvasive marker to risk stratify HFrEF patients.

Telehealth and Health Equity in Older Adults With Heart Failure: A Scientific Statement From the American Heart Association.

Enhancing access to care using telehealth is a priority for improving outcomes among older adults with heart failure, increasing quality of care, and decreasing costs. Telehealth has the potential to increase access to care for patients who live in underresourced geographic regions, have physical disabilities or poor access to transportation, and may not otherwise have access to cardiologists with expertise in heart failure. During the COVID-19 pandemic, access to telehealth expanded, and yet barriers to access, including broadband inequality, low digital literacy, and structural barriers, prevented many of the disadvantaged patients from getting equitable access. Using a health equity lens, this scientific statement reviews the literature on telehealth for older adults with heart failure; provides an overview of structural, organizational, and personal barriers to telehealth; and presents novel interventions that pair telemedicine with in-person services to mitigate existing barriers and structural inequities.

Survey of resuscitation practices at emergency medical service agencies in the U.S.

Background: Survival for out-of-hospital cardiac arrest (OHCA) varies across emergency medical service (EMS) agencies. Yet, little is known about resuscitation response and quality improvement activities at EMS agencies. We describe herein a novel survey to EMS agencies in a U.S. registry for OHCA. Methods: Using data from the Cardiac Arrest Registry to Enhance Survival (CARES), we identified 577 EMS agencies with ≥10 OHCA cases annually between 2015 and 2019 that remained active in CARES. We administered a survey to EMS directors regarding agency characteristics, cardiac arrest response, relationships with first responders and dispatchers, quality improvement activities and perceived barriers in the community. Results: Of eligible EMS agencies, 470 (81.5%) completed the survey. The high completion rate was likely due to frequent personalized emails and phone calls, liaising with CARES state coordinators to encourage survey response, and multiple periodic drawings of an automated external defibrillator during the survey period for participating EMS agencies. The survey examined rates of resuscitation training modalities; use of resuscitation equipment and devices in the field; frequency of simulation; non-EMS stakeholder response to OHCA (dispatchers, fire, police); quality improvement; and community factors affecting bystander response to OHCA. Conclusions: In this study design paper on the RED-CASO survey, we provide summary data on EMS agency characteristics in the U.S. Upon linkage to CARES patient-level data, this survey will provide critical insights into 'best practices' at EMS agencies with the highest OHCA survival rates as well as provide insights into current disparities in outcomes.

Association Between Race, Cardiology Care, and the Receipt of Guideline-Directed Medical Therapy in Peripartum Cardiomyopathy.

BACKGROUND: Black patients with peripartum cardiomyopathy (PPCM) have disproportionately worse outcomes than White patients, possibly related to variable involvement of cardiovascular specialists in their clinical care. We sought to determine whether race was associated with cardiology involvement in clinical care during inpatient admission and whether cardiology involvement in care was associated with higher claims of guideline-directed medical therapy (GDMT) a week after hospital discharge. METHODS: Using Optum's de-identified Clinformatics® Data Mart (CDM), we included Black and White patients' first hospital admission for PPCM from 2008 to 2021. Cardiology involvement in clinical care was defined as the receipt of attending care from a cardiovascular specialist during admission. GDMT included beta-blockers (BB) for all patients and triple therapy (BB, angiotensin-responsive medications, and mineralocorticoid receptor antagonists) for non-pregnant patients. Logistic regression was used to determine the associations between cardiology involvement in clinical care during admission and (1) patient race and (2) GDMT prescription, adjusting for age and comorbidities. RESULTS: Among 668 patients (32.6% Black, 67.4% White, 93.3% commercially insured), there was no significant difference in the odds of cardiology involvement in clinical care by race (aOR: 1.41; 95%CI: 0.87-2.33, P=0.17). Inpatient cardiology care was associated with 2.75 times increased odds of having a prescription claim for GDMT (BB) for White patients (aOR: 2.75; 95%CI 1.50-5.06, P=0.001), and the estimated effect size was similar but not statistically significant for Black patients (aOR: 2.20, 95% CI, 0.84-5.71, P=0.11). The interaction between race and cardiology involvement in clinical care was not statistically significant for the receipt of BB prescription. Among 274 non-pregnant patients with PPCM (37.2% Black, 62.8% White), 5.8% received triple GDMT. Of these, none of the Black patients lacking cardiology care had triple GDMT. However, cardiology involvement in care was not significantly associated with triple GDMT for either race. CONCLUSIONS: Among a commercially insured population within PPCM, race was not associated with cardiology involvement in clinical care during hospitalization. However, cardiology involvement in care was associated with significantly higher odds of prescription claims for BB for only White patients. Additional strategies are needed to support equitable GDMT prescription.

Heart Failure with Reduced Ejection Fraction and COVID-19, when the Sick Get Sicker: Unmasking Racial and Ethnic Inequities During a Pandemic.

Minoritized racial and ethnic groups have the highest incidence, prevalence, and hospitalization rate for heart failure. Despite improvement in medical therapies and overall survival, the morbidity and mortality of these groups remain elevated. The reasons for this disparity are multifactorial, including social determinant of health (SDOH) such as access to care, bias, and structural racism. These same factors contributed to higher rates of COVID-19 infection among minoritized racial and ethnic groups. In this review, we aim to explore the lessons learned from the COVID-19 pandemic and its interconnection between heart failure and SDOH. The pandemic presents a window of opportunity for achieving greater equity in the health care of all vulnerable populations.

Cardiac Arrest Survival at Emergency Medical Service Agencies in Catchment Areas With Primarily Black and Hispanic Populations.

Importance: Black and Hispanic patients are less likely to survive an out-of-hospital cardiac arrest (OHCA) than White patients. Given the central importance of emergency medical service (EMS) agencies in prehospital care, a better understanding of OHCA survival at EMS agencies that work in Black and Hispanic communities and White communities is needed to address OHCA disparities. Objective: To examine whether EMS agencies serving catchment areas with primarily Black and Hispanic populations (Black and Hispanic catchment areas) have different rates of OHCA survival than agencies serving catchment areas with primarily White populations (White catchment areas). Design, Setting, and Participants: A cohort study including adults with nontraumatic OHCA from January 1, 2015, to December 31, 2019, in the Cardiac Arrest Registry to Enhance Survival was conducted. Data analysis was conducted from August 17, 2022, to July 7, 2023. Exposure: Emergency medical service agencies, categorized as working in catchment areas where the combination of Black and Hispanic residents made up more than 50% of the population or where White residents made up more than 50% of the population. Main Outcomes and Measures: The unit of analysis was the EMS agency. The primary outcome was agency-level risk-standardized survival rates (RSSRs) to hospital admission for OHCA at each EMS agency, which were calculated using hierarchical logistic regression and compared between agencies serving Black and Hispanic and White catchment areas. Whether differences in OHCA survival were explained by EMS and first responder measures was evaluated with additional adjustment for these factors. Results: Among 764 EMS agencies representing 258 342 OHCAs, 82 EMS agencies (10.7%) had a Black and Hispanic catchment area. Overall median age of the patients was 63.0 (IQR, 52.0-75.0) years, 36.1% were women, and 63.9% were men. Overall, the mean (SD) RSSR was 27.5% (3.6%), with lower survival at EMS agencies with Black and Hispanic catchment areas (25.8% [3.6%]) compared with agencies with White catchment areas (27.7% [3.5%]; P < .001). Among the 82 EMS agencies with Black and Hispanic catchment areas, a disproportionately higher number (32 [39.0%]) was in the lowest survival quartile, whereas a lower number (12 [14.6%]) was in the highest survival quartile. Additional adjustment for EMS response times, EMS termination of resuscitation rates, and first responder rates of initiating cardiopulmonary resuscitation or applying an automated external defibrillator before EMS arrival did not meaningfully attenuate differences in RSSRs between agencies with Black and Hispanic compared with White catchment areas (mean [SD] RSSRs after adjustment, 25.9% [3.3%] vs 27.7% [3.1%]; P < .001). Conclusions and Relevance: Risk-standardized survival rates for OHCA were 1.9% lower at EMS agencies working in Black and Hispanic catchment areas than in White catchment areas. This difference was not explained by EMS response times, rates of EMS termination of resuscitation, or first responder rates of initiating cardiopulmonary resuscitation or applying an automated external defibrillator. These findings suggest there is a need for further assessment of these discrepancies.

Racial Disparities in Obesity-Related Cardiovascular Mortality in the United States: Temporal Trends From 1999 to 2020.

Background Obesity is a major risk factor for cardiovascular disease, with differential impact across populations. This descriptive epidemiologic study outlines trends and disparities in obesity-related cardiovascular mortality in the US population between 1999 and 2020. Methods and Results The Multiple Cause of Death database was used to identify adults with primary cardiovascular death and obesity recorded as a contributing cause of death. Cardiovascular deaths were grouped into ischemic heart disease, heart failure, hypertensive disease, cerebrovascular disease, and other. Absolute, crude, and age-adjusted mortality rates (AAMRs) were calculated by racial group, considering temporal trends and variation by sex, age, and residence (urban versus rural). Analysis of 281 135 obesity-related cardiovascular deaths demonstrated a 3-fold increase in AAMRs from 1999 to 2020 (2.2-6.6 per 100 000 population). Black individuals had the highest AAMRs. American Indian or Alaska Native individuals had the greatest temporal increase in AAMRs (+415%). Ischemic heart disease was the most common primary cause of death. The second most common cause of death was hypertensive disease, which was most common in the Black racial group (31%). Among Black individuals, women had higher AAMRs than men; across all other racial groups, men had a greater proportion of obesity-related cardiovascular mortality cases and higher AAMRs. Black individuals had greater AAMRs in urban compared with rural settings; the reverse was observed for all other races. Conclusions Obesity-related cardiovascular mortality is increasing with differential trends by race, sex, and place of residence.