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Cardiac resynchronization therapy (CRT) improves survival, symptoms, quality of life, exercise capacity, and cardiac structure and function in patients with New York Heart Association (NYHA) functional class II or ambulatory class IV heart failure (HF) with wide QRS complex. The totality of evidence supports the use of CRT in patients with less severe HF symptoms. CRT is recommended for patients in sinus rhythm with a widened QRS interval (>=150 ms) not due to right bundle branch block (RBBB) who have severe left ventricular (LV) systolic dysfunction and persistent NYHA functional class II-III symptoms despite optimal medical therapy (strength of evidence A). CRT may be considered for several other patient groups for whom evidence of benefit is clinically significant but less substantial, including patients with a QRS interval of >=120 to <150 ms and severe LV systolic dysfunction who have persistent mild to severe HF despite optimal medical therapy (strength of evidence B), some patients with atrial fibrillation, and some with ambulatory class IV HF. Several evidence gaps remain that need to be addressed, including the ideal threshold for QRS duration, QRS morphology, lead placement, degree of myocardial scarring, and the modality for evaluating dyssynchrony. Recommendations will evolve over time as additional data emerge from completed and ongoing clinical trials. [ABSTRACT FROM AUTHOR]

Heart failure (HF) with normal ejection fraction (EF) is an increasingly common presentation of acute decompensated HF. Differences between patients with HF and truly normal EF and those with mildly impaired EF have not been described. The Acute Decompensated Heart Failure Registry (ADHERE) contains information on >100,000 HF hospitalizations and may provide insight into this distinction. The ADHERE database was used to investigate differences between patients hospitalized with HF and severely (<25%), moderately (25% to 40%), and mildly (40% to 55%) decreased EF and those with normal EF (> or =55%). The group with normal EF was 69% women with a mean age of 74 years (p <0.0001 vs all other groups). Coronary artery disease was less frequent in the normal EF group, and hypertension played a larger role. Patients with EF > or =55% had increased pulse pressure, suggesting a role for arterial stiffening. Treatment differed by EF. Creatinine increased > or =0.5 mg/dl more often in the group with HF and normal EF than in the group with HF and severely decreased EF. In-hospital mortality and length of stay in the intensive care unit varied inversely with EF; overall length of stay was similar. In conclusion, patients with HF and normal EF are more likely to be women, have a history of high pulse pressure hypertension, less coronary artery disease, and a lower risk of inpatient death but a higher likelihood of deterioration in renal function during hospitalization. These observations may be important considerations in the design of future clinical trials. [ABSTRACT FROM AUTHOR]

Heart failure (HF) is a significant global health concern, particularly in Asia, where over half of the world's population resides. Despite advances in treatment, the burden of HF is expected to rise in the region due to the aging population and an increase in non-communicable diseases associated with HF risk. This narrative review examines the current state of HF in Asia, highlighting differences in treatment utilization, underrepresentation of Asian individuals in clinical trials, emerging therapies, and implementation strategies, including the potential use of polypills and the need for expanded HF training opportunities for healthcare providers., Competing Interests: Conflict of Interest: The authors have no financial conflicts of interest., (Copyright © 2024. Korean Society of Heart Failure.)

Background: Home-time is an emerging, patient-centered outcome that represents the amount of time a patient spends alive and outside of health care facility settings, comprising of hospitals, skilled nursing facilities, and acute rehabilitation centers. Studies evaluating home-time in the context of heart failure are limited, and the impact of quality improvement interventions on home-time has not been studied., Methods: Medicare beneficiaries aged 65 years or older who were hospitalized for heart failure in the Get With the Guidelines-Heart Failure registry between 2019 and 2021 were included. Postdischarge home-time, mortality, and readmission rates at 30 days and 1 year were calculated with the goal of establishing baseline metrics before the initiation of IMPLEMENT-HF, a multicenter quality improvement program aimed at improving heart failure management., Results: Overall, 66 019 patients were included across 437 sites. Median 30-day and 1-year home-time were 30 (18-30) and 333 (139-362) days, respectively. Only 22.1% of patients experienced 100% home-time in the year after discharge. Older patients spent significantly less time at home, with a median 1-year home-time of 302 (86-359) compared with 345 (211-365) days in patients over 85 and those between 65 and 74 years old, respectively ( P <0.001). Black patients also experienced the least amount of home-time with only 328 (151-360) days at 1-year follow-up. Rates of heart failure readmission and all-cause mortality 1-year post-discharge were high at 29.8% and 37.0%, respectively., Conclusions: In this contemporary multicenter cohort, patients hospitalized with heart failure spent a median of 91.2% of their time in the year after discharge alive and at home, largely driven by high mortality rates. These findings serve as a preimplementation baseline for IMPLEMENT-HF, which will evaluate the impact of targeted heart failure initiatives on home-time and other clinical outcomes., Competing Interests: Dr Greene has received research support from the Duke University Department of Medicine Chair’s Research Award, the American Heart Association, Amgen, AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Cytokinetics, Merck, Novartis, Pfizer, and Sanofi; has served on advisory boards or as a consultant for Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, Bristol Myers Squibb, Corcept, Corteria Pharmaceuticals, CSL Vifor, Cytokinetics, Lilly, Lexicon, Merck, Novo Nordisk, Otsuka, Roche Diagnostics, Sanofi, scPharmaceuticals, Tricog Health, and Urovant Pharmaceuticals; and has received speaker fees from Bayer, Boehringer Ingelheim, Cytokinetics, Lexicon, and Roche Diagnostics. Dr Butler has consulted for Abbott, American Regent, Amgen, Applied Therapeutics, AskBio, Astellas, AstraZeneca, Bayer, Boehringer Ingelheim, Boston Scientific, Bristol Myers Squibb, Cardiac Dimension, Cardiocell, Cardior, CSL Behring, CVRx, Cytokinetics, Daxor, Edwards, Element Science, Faraday, Foundry, G3P, Innolife, Impulse Dynamics, Imbria, Inventiva, Ionis, Lexicon, Lilly, LivaNova, Janssen, Medtronic, Merck, Occlutech, Owkin, Novartis, Novo Nordisk, Pharmacosmos, Pharmain, Pfizer, Prolaio, Regeneron, Renibus, Roche, Salamandra, Sanofi, SC Pharma, Secretome, Sequana, SQ Innovation, Tenex, Tricog, Ultromics, Vifor, and Zoll. Dr Lewis has received grants from the American Heart Association and Merck and has consulted for AstraZeneca, Intellia, and Merck. Dr Fonarow has consulted for Abbott, Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, Cytokinetics, Eli Lilly, Johnson & Johnson, Medtronic, Merck, Novartis, and Pfizer.

Competing Interests: C.S.P.L. is supported by a Clinician Scientist Award from the National Medical Research Council of Singapore; has received research support from Novo Nordisk and Roche Diagnostics; has derved as consultant or on the advisory board/steering committee/executive committee for Alleviant Medical, Allysta Pharma, AnaCardio AB, Applied Therapeutics, AstraZeneca, Bayer, Biopeutics, Boehringer Ingelheim, Boston Scientific, Bristol Myers Squibb, CardioRenal, Cytokinetics, Darma Inc, EchoNous Inc, Eli Lilly, Impulse Dynamics, Intellia Therapeutics, Ionis Pharmaceutical, Janssen Research & Development LLC, Medscape/WebMD Global LLC, Merck, Novartis, Novo Nordisk, Prosciento Inc, Quidel Corporation, Radcliffe Group Ltd, Recardio Inc, ReCor Medical, Roche Diagnostics, Sanofi, Siemens Healthcare Diagnostics, and Us2.ai; and serves as cofounder and nonexecutive director of Us2.ai. The other authors report no conflicts.

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.

Background: In VICTORIA (Vericiguat Global Study in Subjects With Heart Failure With Reduced Ejection Fraction), vericiguat compared with placebo reduced cardiovascular death or heart failure (HF) hospitalization in patients with HF with reduced ejection fraction., Objectives: This study explored the association between vericiguat and recurrent hospitalizations and subsequent mortality after HF hospitalization., Methods: The treatment effect of vericiguat on the burden of HF hospitalizations was evaluated by assessing total HF hospitalization and cardiovascular death in the overall trial and based on baseline N-terminal pro-B-type natriuretic peptide levels with and without adjustment for VICTORIA model covariates (ie, baseline variables associated with the primary endpoint) assessed via the Andersen-Gill method. Associations between vericiguat and recurrent hospitalization and mortality adjusted for VICTORIA model covariates are reported., Results: There were 1,222 total HF hospitalizations and cardiovascular deaths among 2,526 patients in the vericiguat group and 1,336 total events among 2,524 patients in the placebo group (unadjusted HR: 0.89 [95% CI: 0.81-0.97] and adjusted HR: 0.92 [95% CI: 0.84-1.01]). In the subgroup with N-terminal pro-B-type natriuretic peptide levels ≤2,816 pg/mL (ie, Q1 and Q2; median or below), there was a suggestion of a benefit with vericiguat (adjusted HRs of 0.80 [95% CI: 0.64-1.01] and 0.77 [95% CI: 0.62-0.94], respectively) compared with those above this value (adjusted HRs of 1.12 [95% CI: 0.93-1.34] and 0.87 [95% CI: 0.74-1.04] for Q3 and Q4). There was no significant difference in treatment effect between patients with vs without an HF hospitalization. After HF hospitalization, the all-cause mortality rate (events per 100 patient-years) was 48.6 for vericiguat and 44.1 for placebo., Conclusions: Additional investigation of the association between vericiguat and cardiovascular death and total HF hospitalizations by recurrent event analysis did not show a statistically significant reduction in events. Mortality was high after HF hospitalization, emphasizing the need for further therapies to reduce morbidity and mortality. (Vericiguat Global Study in Subjects With Heart Failure With Reduced Ejection Fraction [VICTORIA]; NCT02861534)., Competing Interests: Funding Support and Author Disclosures The VICTORIA trial was funded by Merck Sharp & Dohme Corp, a subsidiary of Merck & Company, Inc, and Bayer AG. Dr Mentz has received research support and honoraria from Bayer and Merck Sharp & Dohme Corporation, a subsidiary of Merck & Company, Inc. Dr Butler has received consulting fees from Abbott, Adrenomed, Amgen, Array, AstraZeneca, Bayer, Boehringer Ingelheim, Bristol Myers Squibb, CVRx, G3 Pharmaceutical, Impulse Dynamics, Innolife, Janssen, LivaNova, Luitpold, Medtronic, Merck, Novartis, Novo Nordisk, Roche, and Vifor. Dr Chiang has received honoraria from AstraZeneca, Bayer, Boehringer Ingelheim, Daiichi Sankyo, Eli Lilly, MSD, Novartis, Pfizer, and Sanofi. Dr Ezekowitz has received research grants and consulting fees from Bayer, Merck, Servier, Amgen Sanofi, Novartis, Cytokinetics, American Regent, and Applied Therapeutics. Dr Hernandez has received research grants from Merck, AstraZeneca, Novartis, and Verily; and received honoraria from Merck, Bayer, Amgen, AstraZeneca, and Novartis. Dr Hilkert is an employee of Merck & Company, Inc. Dr Lam has received research grants from Bayer, the National Medical Research Council of Singapore, Boston Scientific, Roche Diagnostic, Medtronic, Vifor Pharma, and AstraZeneca; has received consulting fees from Merck, Bayer, Boston Scientific, Roche Diagnostic, Vifor Pharma, AstraZeneca, Novartis, Amgen, Janssen Research & Development LLC, Menarini, Boehringer Ingelheim, Abbott Diagnostics, Corvia, Stealth BioTherapeutics, Novo Nordisk, JanaCare, Biofourmis, Darma, Applied Therapeutics, MyoKardia, Cytokinetics, WebMD Global LLC, and Radcliffe Group Ltd, Corpus; has a patent pending (PCT/SG2016/050217 & 16/216929); and is a co-founder and nonexecutive director of eKo.ai. Dr O’Connor has received research funding from Merck and consulting fees from Bayer, Dey LP, and the Bristol Myers Squibb Foundation. Dr Pieske has received research support from Boston Scientific and honoraria from Bayer, MSD, Novartis, AstraZeneca, Boehringer Ingelheim, Daiichi Sankyo, BMS, Edwards Lifesciences, and Boston Scientific. Dr Ponikowski has received research grants, consulting fees, and Speakers Bureau for Bayer, MSD, Servier, Novartis, Vifor Pharma Ltd, BMS, Boehringer Ingelheim, Respicardia, AstraZeneca, Cibiem, RenalGuard Solutions, and Berlin-Chemie. Dr Roessig is an employee of Bayer AG. Dr Voors has received research support and honoraria from AstraZeneca, BMS, Bayer, Boehringer Ingelheim, Cytokinetics, Merck, Novartis, Novo Nordisk, and Roche Diagnostics. Dr Anstrom has received research grants from Merck and the National Institutes of Health. Dr Armstrong has received research grants from Merck, Bayer, Sanofi-Aventis Recherche & Développement, Boehringer Ingelheim, and CSL Limited; and has received consulting fees from Merck, Bayer, AstraZeneca, and Novartis. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2024 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Competing Interests: Disclosures Drs Milano and Schroder received research funding from TransMedics. Dr DeVore received grants/contracts from Amgen, the American Heart Association, Biofourmis, Bodyport, Cytokinetics, the National Heart, Lung, and Blood Institute, Novartis, Story Health, and Vifor Pharma; consulting fees from AbioMed, AstraZeneca, and CareDx; honoraria from AbioMed and Zoll; and travel/meeting support from Abbott. Dr DeVore is on the Data and Safety Monitoring Board/Advisory Board of Cardionomic and LivaNova and has leadership or fiduciary roles in other boards, societies, committees, or advocacy groups of Natera. The other authors report no conflicts.

Background: Dilated cardiomyopathy (DCM) can lead to advanced disease, defined herein as necessitating a durable left ventricular assist device or a heart transplant (LVAD/HT). DCM is known to have a genetic basis, but the association of rare variant genetics with advanced DCM has not been studied., Methods: We analyzed clinical and genetic sequence data from patients enrolled between 2016 and 2021 in the US multisite DCM Precision Medicine Study, which was a geographically diverse, multiracial, multiethnic cohort. Clinical evaluation included standardized patient interview and medical record query forms. DCM severity was classified into 3 groups: patients with advanced disease with LVAD/HT; patients with an implantable cardioverter defibrillator (ICD) only; or patients with no ICD or LVAD/HT. Rare variants in 36 DCM genes were classified as pathogenic or likely pathogenic or variants of uncertain significance. Confounding factors we considered included demographic characteristics, lifestyle factors, access to care, DCM duration, and comorbidities. Crude and adjusted associations between DCM severity and rare variant genetic findings were assessed using multinomial models with generalized logit link., Results: Patients' mean (SD) age was 51.9 (13.6) years; 42% were of African ancestry, 56% were of European ancestry, and 44% were female. Of 1198 patients, 347 had LVAD/HT, 511 had an ICD, and 340 had no LVAD/HT or ICD. The percentage of patients with pathogenic or likely pathogenic variants was 26.2%, 15.9%, and 15.0% for those with LVAD/HT, ICD only, or neither, respectively. After controlling for sociodemographic characteristics and comorbidities, patients with DCM with LVAD/HT were more likely than those without LVAD/HT or ICD to have DCM-related pathogenic or likely pathogenic rare variants (odds ratio, 2.3 [95% CI, 1.5-3.6]). The association did not differ by ancestry. Rare variant genetic findings were similar between patients with DCM with an ICD and those without LVAD/HT or ICD., Conclusions: Advanced DCM was associated with higher odds of rare variants in DCM genes adjudicated as pathogenic or likely pathogenic, compared with individuals with less severe DCM. This finding may help assess the risk of outcomes in management of patients with DCM and their at-risk family members., Registration: URL: https://www., Clinicaltrials: gov; Unique identifier: NCT03037632., Competing Interests: Disclosures None.

Importance: Black patients with dilated cardiomyopathy (DCM) have increased familial risk and worse outcomes than White patients, but most DCM genetic data are from White patients., Objective: To compare the rare variant genetic architecture of DCM by genomic ancestry within a diverse population of patients with DCM., Design: Cross-sectional study enrolling patients with DCM who self-identified as non-Hispanic Black, Hispanic, or non-Hispanic White from June 7, 2016, to March 15, 2020, at 25 US advanced heart failure programs. Variants in 36 DCM genes were adjudicated as pathogenic, likely pathogenic, or of uncertain significance., Exposure: Presence of DCM., Main Outcomes and Measures: Variants in DCM genes classified as pathogenic/likely pathogenic/uncertain significance and clinically actionable (pathogenic/likely pathogenic)., Results: A total of 505, 667, and 26 patients with DCM of predominantly African, European, or Native American genomic ancestry, respectively, were included. Compared with patients of European ancestry, a lower percentage of patients of African ancestry had clinically actionable variants (8.2% [95% CI, 5.2%-11.1%] vs 25.5% [95% CI, 21.3%-29.6%]), reflecting the lower odds of a clinically actionable variant for those with any pathogenic variant/likely pathogenic variant/variant of uncertain significance (odds ratio, 0.25 [95% CI, 0.17-0.37]). On average, patients of African ancestry had fewer clinically actionable variants in TTN (difference, -0.09 [95% CI, -0.14 to -0.05]) and other genes with predicted loss of function as a disease-causing mechanism (difference, -0.06 [95% CI, -0.11 to -0.02]). However, the number of pathogenic variants/likely pathogenic variants/variants of uncertain significance was more comparable between ancestry groups (difference, -0.07 [95% CI, -0.22 to 0.09]) due to a larger number of non-TTN non-predicted loss of function variants of uncertain significance, mostly missense, in patients of African ancestry (difference, 0.15 [95% CI, 0.00-0.30]). Published clinical case-based evidence supporting pathogenicity was less available for variants found only in patients of African ancestry (P < .001)., Conclusion and Relevance: Patients of African ancestry with DCM were less likely to have clinically actionable variants in DCM genes than those of European ancestry due to differences in genetic architecture and a lack of representation of African ancestry in clinical data sets.

Advanced heart failure (AHF) therapy allocation is vulnerable to bias related to subjective assessments and poor group dynamics. Our objective was to determine whether an implementation strategy for AHF team members could feasibly contribute to organizational and culture change supporting equity in AHF allocation. Using a pretest-posttest design, the strategy included an 8-week multicomponent training on bias reduction, standardized numerical social assessments, and enhanced group dynamics at an AHF center. Evaluations of organizational and cultural changes included pretest-posttest AHF team member surveys, transcripts of AHF meetings to assess group dynamics using a standardized scoring system, and posttest interviews guided by a framework for implementing a complex strategy. Results were analyzed with qualitative descriptive methods and Brunner-Munzel tests for relative effect (RE, RE >0.5 signals posttest improvement). The majority of survey metrics revealed potential benefit with RE >0.5. REs were >0.5 for 5 of 6 group dynamics metrics. Themes for implementation included (1) promoting equitable distribution of scarce resources, (2) requiring a change in team members' time investment to correct bias and change the meeting structure, (3) slowing and then accelerating the allocation process, and (4) adaptable beyond AHF and reinforceable with semi-annual trainings. An implementation strategy for AHF equity demonstrated the feasibility for organizational and culture changes., (Copyright © 2023 American Society of Transplantation & American Society of Transplant Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: Cardiovascular screening is recommended for first-degree relatives (FDRs) of patients with dilated cardiomyopathy (DCM), but the yield of FDR screening is uncertain for DCM patients without known familial DCM, for non-White FDRs, or for DCM partial phenotypes of left ventricular enlargement (LVE) or left ventricular systolic dysfunction (LVSD)., Objectives: This study examined the yield of clinical screening among reportedly unaffected FDRs of DCM patients., Methods: Adult FDRs of DCM patients at 25 sites completed screening echocardiograms and ECGs. Mixed models accounting for site heterogeneity and intrafamilial correlation were used to compare screen-based percentages of DCM, LVSD, or LVE by FDR demographics, cardiovascular risk factors, and proband genetics results., Results: A total of 1,365 FDRs were included, with a mean age of 44.8 ± 16.9 years, 27.5% non-Hispanic Black, 9.8% Hispanic, and 61.7% women. Among screened FDRs, 14.1% had new diagnoses of DCM (2.1%), LVSD (3.6%), or LVE (8.4%). The percentage of FDRs with new diagnoses was higher for those aged 45 to 64 years than 18 to 44 years. The age-adjusted percentage of any finding was higher among FDRs with hypertension and obesity but did not differ statistically by race and ethnicity (16.2% for Hispanic, 15.2% for non-Hispanic Black, and 13.1% for non-Hispanic White) or sex (14.6% for women and 12.8% for men). FDRs whose probands carried clinically reportable variants were more likely to be identified with DCM., Conclusions: Cardiovascular screening identified new DCM-related findings among 1 in 7 reportedly unaffected FDRs regardless of race and ethnicity, underscoring the value of clinical screening in all FDRs., Competing Interests: Funding Support and Author Disclosures Research reported in this publication was supported by a parent award from the National Heart, Lung, and Blood Institute of the National Institutes of Health under Award Number R01HL128857, which included a supplement from the National Human Genome Research Institute. The DCM Precision Medicine Study was supported by computational infrastructure provided by The Ohio State University Division of Human Genetics Data Management Platform and the Ohio Supercomputer Center. The authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2023 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Many clinical processes include multidisciplinary group decision-making, yet few methods exist to evaluate the presence of implicit bias during this collective process. Implicit bias negatively impacts the equitable delivery of evidence-based interventions and ultimately patient outcomes. Since implicit bias can be difficult to assess, novel approaches are required to detect and analyze this elusive phenomenon. In this paper, we describe how the de Groot Critically Reflective Diagnoses Protocol (DCRDP) can be used as a data analysis tool to evaluate group dynamics as an essential foundation for exploring how interactions can bias collective clinical decision-making. The DCRDP includes 6 distinct criteria: challenging groupthink, critical opinion sharing, research utilization, openness to mistakes, asking and giving feedback, and experimentation. Based on the strength and frequency of codes in the form of exemplar quotes, each criterion was given a numerical score of 1-4 with 1 representing teams that are interactive, reflective, higher functioning, and more equitable. When applied as a coding scheme to transcripts of recorded decision-making meetings, the DCRDP was revealed as a practical tool for examining group decision-making bias. It can be adapted to a variety of clinical, educational, and other professional settings as an impetus for recognizing the presence of team-based bias, engaging in reflexivity, informing the design and testing of implementation strategies, and monitoring long-term outcomes to promote more equitable decision-making processes in healthcare., Competing Interests: LA has received grant funding from the American Heart Association, NIH, and PCORI; and consulting fees from Amgen, Boston Scientific, Cytokinetics, Novartis, and WCG ACI Clinical. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling editor MS declared a past co-authorship [10.1089/heq.2020.0044] with the author(s) KB., (Copyright © 2023 Pool, Hebdon, de Groot, Yee, Herrera-Theut, Yee, Allen, Hasan, Lindenfeld, Calhoun, Carnes, Sweitzer and Breathett.)

Background: Managing disease risk among first-degree relatives of probands diagnosed with a heritable disease is central to precision medicine. A critical component is often clinical screening, which is particularly important for conditions like dilated cardiomyopathy (DCM) that remain asymptomatic until severe disease develops. Nonetheless, probands are frequently ill-equipped to disseminate genetic risk information that motivates at-risk relatives to complete recommended clinical screening. An easily implemented remedy for this key issue has been elusive., Methods: The DCM Precision Medicine Study developed Family Heart Talk , a booklet designed to help probands with DCM communicate genetic risk and the need for cardiovascular screening to their relatives. The effectiveness of the Family Heart Talk booklet in increasing cardiovascular clinical screening uptake among first-degree relatives was assessed in a multicenter, open-label, cluster-randomized, controlled trial. The primary outcome measured in eligible first-degree relatives was completion of screening initiated within 12 months after proband enrollment. Because probands randomized to the intervention received the booklet at the enrollment visit, eligible first-degree relatives were limited to those who were alive the day after proband enrollment and not enrolled on the same day as the proband., Results: Between June 2016 and March 2020, 1241 probands were randomized (1:1) to receive Family Heart Talk (n=621) or not (n=620) within strata defined by site and self-identified race/ethnicity (non-Hispanic Black, non-Hispanic White, or Hispanic). Final analyses included 550 families (n=2230 eligible first-degree relatives) in the Family Heart Talk arm and 561 (n=2416) in the control arm. A higher percentage of eligible first-degree relatives completed screening in the Family Heart Talk arm (19.5% versus 16.0%), and the odds of screening completion among these first-degree relatives were higher in the Family Heart Talk arm after adjustment for proband randomization stratum, sex, and age quartile (odds ratio, 1.30 [1-sided 95% CI, 1.08-∞]). A prespecified subgroup analysis did not find evidence of heterogeneity in the adjusted intervention odds ratio across race/ethnicity strata ( P =0.90)., Conclusions: Family Heart Talk , a booklet that can be provided to patients with DCM by clinicians with minimal additional time investment, was effective in increasing cardiovascular clinical screening among first-degree relatives of these patients., Registration: URL: https://www., Clinicaltrials: gov; Unique identifier: NCT03037632.

Background US regulatory framework for advanced heart failure therapies (AHFT), ventricular assist devices, and heart transplants, delegate eligibility decisions to multidisciplinary groups at the center level. The subjective nature of decision-making is at risk for racial, ethnic, and gender bias. We sought to determine how group dynamics impact allocation decision-making by patient gender, racial, and ethnic group. Methods and Results We performed a mixed-methods study among 4 AHFT centers. For ≈ 1 month, AHFT meetings were audio recorded. Meeting transcripts were evaluated for group function scores using de Groot Critically Reflective Diagnoses protocol (metrics: challenging groupthink, critical opinion sharing, openness to mistakes, asking/giving feedback, and experimentation; scoring: 1 to 4 [high to low quality]). The relationship between summed group function scores and AHFT allocation was assessed via hierarchical logistic regression with patients nested within meetings nested within centers, and interaction effects of group function score with gender and race, adjusting for patient age and comorbidities. Among 87 patients (24% women, 66% White race) evaluated for AHFT, 57% of women, 38% of men, 44% of White race, and 40% of patients of color were allocated to AHFT. The interaction between group function score and allocation by patient gender was statistically significant ( P =0.035); as group function scores improved, the probability of AHFT allocation increased for women and decreased for men, a pattern that was similar irrespective of racial and ethnic groups. Conclusions Women evaluated for AHFT were more likely to receive AHFT when group decision-making processes were of higher quality. Further investigation is needed to promote routine high-quality group decision-making and reduce known disparities in AHFT allocation.

Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous entity with complex pathophysiology and manifestations. Phenomapping is the process of applying statistical learning techniques to patient data to identify distinct subgroups based on patterns in the data. Phenomapping has emerged as a technique with potential to improve the understanding of different HFpEF phenotypes. Phenomapping efforts have been increasing in HFpEF over the past several years using a variety of data sources, clinical variables, and statistical techniques. This review summarizes methodologies and key takeaways from these studies, including consistent discriminating factors and conserved HFpEF phenotypes. We argue that phenomapping results to date have had limited implications for clinical care and clinical trials, given that the phenotypes, as currently described, are not reliably identified in each study population and may have significant overlap. We review the inherent limitations of aggregating and utilizing phenomapping results. Lastly, we discuss potential future directions, including using phenomapping to optimize the likelihood of clinical trial success or to drive discovery in mechanisms of the disease process of HFpEF., Competing Interests: Conflict of interest: Dr Peters is supported by the National Heart Lung and Blood Institute (T32HL069749). Dr Tromp is supported by the National University of Singapore Start-up grant, the tier 1 grant from the ministry of education and the CS-IRG New Investigator Grant from the National Medical Research Council; has received consulting or speaker fees from Daiichi-Sankyo, Boehringer Ingelheim, Roche diagnostics and Us2.ai, owns patent US-10702247-B2 unrelated to the present work. Dr Shah has received research grants from Actelion, AstraZeneca, Corvia, Novartis, and Pfizer; and consulting fees from Abbott, Actelion, AstraZeneca, Amgen, Aria CV, Axon Therapies, Bayer, Boehringer-Ingelheim, Boston Scientific, Bristol-Myers Squibb, Cardiora, Coridea, CVRx, Cyclerion, Cytokinetics, Edwards Lifesciences, Eidos, Eisai, Imara, Impulse Dynamics, Intellia, Ionis, Ironwood, Lilly, Merck, MyoKardia, Novartis, Novo Nordisk, Pfizer, Prothena, Regeneron, Rivus, Sanofi, Shifamed, Tenax, Tenaya, and United Therapeutics. Dr Lam is supported by a Clinician Scientist Award from the National Medical Research Council of Singapore; has received research support from AstraZeneca, Bayer, Boston Scientific and Roche Diangostics; has served as consultant or on the Advisory Board/Steering Committee/Executive Committee for Actelion, Amgen, Applied Therapeutics, AstraZenea, Bayer, Boehringer Ingelheim, Boston Scientific, Cytokinetics, Darma Inc., Janssen Research & Development LLC, Medscape/WebMD Global LLC, Merck, Novartis, Novo Nordisk, Radcliffe Group Ltd., Roche Diagnostics, Sanofi and Us2.ai. Dr Borlaug has received research grants from AstraZeneca, Corvia, Medtronic, GlaxoSmithKline, Mesoblast, Novartis, Tenax Therapeutics, and consulting fees from Actelion, Amgen, Aria, Axon Therapies, Boehringer Ingelheim, Edwards Lifesciences, Eli Lilly, Imbria, Janssen, Merck, Novo Nordisk, and VADovations. Dr Sharma is a consultant and advisory board member of AstraZeneca, Bayer, Boehringer-Ingelheim, Janssen, Novartis, NovoNordisk, and Rivus and receives honoraria; has received research support from Amgen. Dr Pandey received grant funding outside the present study from Applied Therapeutics, Gilead and Myovista; has received honoraria as an advisor/consultant for Tricog Health Inc and Lilly, USA, Roche and has received nonfinancial support from Pfizer and Merck. Dr Kitzman has received honoraria outside the present study as a consultant for Bayer, Merck, Medtronic, Relypsa, Merck, Corvia Medical, Boehringer-Ingelheim, NovoNordisk, AstraZeneca, Rivus, Pfizer, and Novartis; grant funding outside the present study from Novartis, Bayer, NovoNordisk, and AstraZeneca; and has stock ownership in Gilead Sciences. Dr Mentz has received research support and honoraria from Abbott, American Regent, Amgen, AstraZeneca, Bayer, Boehringer Ingelheim/Eli Lilly, Boston Scientific, Cytokinetics, Fast BioMedical, Gilead, Innolife, Medtronic, Merck, Novartis, Relypsa, Respicardia, Roche, Sanofi, Vifor, Windtree Therapeutics, and Zoll. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (© The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cytotoxicity may involve inhibition of peroxisome proliferator-activated receptor alpha. Fenofibrate activates peroxisome proliferator-activated receptor alpha and inhibits SARS-CoV-2 replication in vitro. Whether fenofibrate can be used to treat coronavirus disease 2019 (COVID-19) infection in humans remains unknown. Here, we randomly assigned inpatients and outpatients with COVID-19 within 14 d of symptom onset to 145 mg of oral fenofibrate nanocrystal formulation versus placebo for 10 d, in a double-blinded fashion. The primary endpoint was a severity score whereby participants were ranked across hierarchical tiers incorporating time to death, mechanical ventilation duration, oxygenation, hospitalization and symptom severity and duration. In total, 701 participants were randomized to fenofibrate (n = 351) or placebo (n = 350). The mean age of participants was 49 ± 16 years, 330 (47%) were female, mean body mass index was 28 ± 6 kg/m 2 and 102 (15%) had diabetes. Death occurred in 41 participants. Compared with placebo, fenofibrate had no effect on the primary endpoint. The median (interquartile range) rank in the placebo arm was 347 (172, 453) versus 345 (175, 453) in the fenofibrate arm (P = 0.819). There was no difference in secondary and exploratory endpoints, including all-cause death, across arms. There were 61 (17%) adverse events in the placebo arm compared with 46 (13%) in the fenofibrate arm, with slightly higher incidence of gastrointestinal side effects in the fenofibrate group. Overall, among patients with COVID-19, fenofibrate has no significant effect on various clinically relevant outcomes ( NCT04517396 )., (© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)

Background: Angiotensin receptor-neprilysin inhibitor (ARNI) prescription in the United States remains suboptimal despite strong evidence for efficacy and value in heart failure with reduced ejection fraction. Factors responsible for under prescription are not completely understood. Economic limitations may play a disproportionate role in reduced access for some patients., Methods: This is an analysis of the Get With The Guidelines-Heart Failure registry, supplemented with data from the Distressed Community Index. Data were fit to a mixed-effects regression model to investigate clinical and socioeconomic factors associated with ARNI prescription at hospital discharge. Missing data were handled by multilevel multiple imputation., Results: Of the 136 144 patients included in analysis, 12.6% were prescribed an ARNI at discharge. The dominant determinants of ARNI prescription were ARNI use while inpatient (odds ratio [OR], 72 [95% CI, 58-89]; P <0.001) and taking an ARNI before hospitalization (OR 9 [95% CI, 7-13]; P <0.001). Having an ACE (angiotensin-converting enzyme) inhibitor/angiotensin receptor blocker (ARB)/ARNI contraindication was associated with lower likelihood of ARNI prescription at discharge (OR, 0.11 [95% CI, 0.10-0.12]; P <0.001). Socioeconomic factors associated with lower likelihood of ARNI prescription included having no insurance (OR, 0.60 [95% CI, 0.50-0.72]; P <0.001) and living in a ZIP Code identified as distressed (OR, 0.81 [95% CI, 0.70-0.93]; P =0.010). The rate of ARNI prescription is increasing with time (OR, 2 [95% CI, 1.8-2.3]; P <0.001 for patients discharged in 2020 as opposed to 2017), but the disparity in prescription rates between distressed and prosperous communities appears to be increasing., Conclusions: Multiple medical and socioeconomic factors contribute to low rates of ARNI prescription at hospital discharge. Potential targets for improving ARNI prescription rates include initiating ARNIs during hospitalization and aggressively addressing patients' access barriers with the support of inpatient social services and pharmacists.

Background Black and Hispanic patients are less likely to receive cardiac resynchronization therapy (CRT) than White patients. Medicaid expansion has been associated with increased access to cardiovascular care among racial and ethnic groups with higher prevalence of underinsurance. It is unknown whether the Medicaid expansion was associated with increased receipt of CRT by race and ethnicity. Methods and Results Using Healthcare Cost and Utilization Project Data State Inpatient Databases from 19 states and Washington, DC, we analyzed 1061 patients from early-adopter states (Medicaid expansion by January 2014) and 745 patients from nonadopter states (no implementation 2013-2014). Estimates of change in census-adjusted rates of CRT with or without defibrillator by race and ethnicity and Medicaid adopter status 1 year before and after January 2014 were conducted using a quasi-Poisson regression model. Following the Medicaid expansion, the rate of CRT did not significantly change among Black individuals from early-adopter states (1.07 [95% CI, 0.78-1.48]) or nonadopter states (0.79 [95% CI, 0.57-1.09]). There were no significant changes in rates of CRT among Hispanic individuals from early-adopter states (0.99 [95% CI, 0.70-1.38]) or nonadopter states (1.01 [95% CI, 0.65-1.57]). There was a 34% increase in CRT rates among White individuals from early-adopter states (1.34 [95% CI, 1.05-1.70]), and no significant change among White individuals from nonadopter states (0.77 [95% CI, 0.59-1.02]). The change in CRT rates among White individuals was associated with the timing of the Medicaid implementation ( P =0.003). Conclusions Among states participating in Healthcare Cost and Utilization Project Data State Inpatient Databases, implementation of Medicaid expansion was associated with increase in CRT rates among White individuals residing in states that adopted the Medicaid expansion policy. Further work is needed to address disparities in CRT among Black and Hispanic patients.

Background: In 2018, United Network for Organ Sharing (UNOS) extended the radius for which a heart transplant candidate can match with a donor, and outcomes across population densities are unknown. We sought to determine whether the policy change was associated with differences in heart transplant waitlist time or death post-transplant for patients from rural, micropolitan, and metropolitan settings., Methods: Using the Scientific Registry of Transplant Recipients, we evaluated U.S. adult patients listed for heart transplant from Janurary 2017 to September 2019 with follow-up through March 2020. Patients were stratified by home zip-codes to either metropolitan, micropolitan, or rural settings. Fine and Gray and Cox models were respectively used to estimate Sub-distribution hazard ratios (SHR) of heart transplant with death or removal from transplant list as a competing event, and HR of death post-transplant within population densities after versus before the UNOS policy change date, October 18, 2018. Analyses were adjusted for demographics, comorbidities, and labs., Results: Among 8,747 patients listed for heart transplant, 84.7% were from metropolitan, 8.6% micropolitan, and 6.6% rural settings. The 2018 UNOS policy was associated with earlier receipt of heart transplant for metropolitan [SHR 1.56 (95% CI: 1.46-1.66)] and micropolitan [SHR 1.48 (95% CI: 1.21-1.82)] populations, but not significantly for rural [SHR 1.20 (95% CI: 0.93-1.54)]; however, the interaction between policy and densities was not significant (p = .14). Policy changes were not associated with risk of death post-transplant [metropolitan: HR 1.04 (95% CI: 0.80-1.34); micropolitan: HR 1.10 (95% CI: 0.55-2.23); rural: HR 1.04 (95% CI: 0.52-2.08); interaction p = .99]., Conclusions: The 2018 UNOS heart transplant policy was associated with earlier receipt of heart transplant and no difference in post-transplant survival within population densities. Additional follow-up is needed to determine whether improvements are sustained., (Copyright © 2022 International Society for Heart and Lung Transplantation. Published by Elsevier Inc. All rights reserved.)

Background: We examined the effects of vericiguat compared with placebo in patients with heart failure with reduced ejection fraction enrolled in VICTORIA (Vericiguat Global Study in Patients With Heart Failure With Reduced Ejection Fraction) on health status outcomes measured by the Kansas City Cardiomyopathy Questionnaire (KCCQ) and evaluated whether clinical outcomes varied by baseline KCCQ score., Methods: KCCQ was completed at baseline and 4, 16, and 32 weeks. We assessed treatment effect on KCCQ using a mixed-effects model adjusting for baseline KCCQ and stratification variables. Cox proportional-hazards modeling was performed to evaluate the effect of vericiguat on clinical outcomes by tertiles of baseline KCCQ clinical summary score (CSS), total symptom score (TSS), and overall summary score (OSS)., Results: Of 5050 patients, 4664, 4741, and 4470 had KCCQ CSS (median [25th to 75th], 65.6 [45.8-81.8]), TSS (68.8 [47.9-85.4]), and OSS (59.9 [42.0-77.1]) at baseline; 94%, 88%, and 82% had data at 4, 16, and 32 weeks. At 16 weeks, CSS improved by a median of 6.3 in both arms; no significant differences in improvement were seen for TSS and OSS between the 2 groups ( P =0.69, 0.97, and 0.13 for CSS, TSS, and OSS). Trends were similar at 4 and 32 weeks. Vericiguat versus placebo reduced cardiovascular death or heart failure hospitalization risk similarly across tertiles of baseline KCCQ CSS, TSS, and OSS (interaction P =0.13, 0.21, and 0.65)., Conclusions: Vericiguat did not significantly improve KCCQ scores compared with placebo. Vericiguat reduced the risk of cardiovascular death or heart failure hospitalization across the range of baseline health status., Registration: URL: https://www., Clinicaltrials: gov; Unique identifier: NCT02861534.

Background: Heart transplantation provides a significant improvement in survival and quality of life for patients with end-stage heart disease, however many recipients experience different levels of graft rejection that can be associated with significant morbidities and mortality. Current clinical standard-of-care for the evaluation of heart transplant acute rejection (AR) consists of routine endomyocardial biopsy (EMB) followed by visual assessment by histopathology for immune infiltration and cardiomyocyte damage. We assessed whether the sensitivity and/or specificity of this process could be improved upon by adding RNA sequencing (RNA-seq) of EMBs coupled with histopathological interpretation., Methods: Up to 6 standard-of-care, or for-cause EMBs, were collected from 26 heart transplant recipients from the prospective observational Clinical Trials of Transplantation (CTOT)-03 study, during the first 12-months post-transplant and subjected to RNA-seq (n = 125 EMBs total). Differential expression and random-forest-based machine learning were applied to develop signatures for classification and prognostication., Results: Leveraging the unique longitudinal nature of this study, we show that transcriptional hallmarks for significant rejection events occur months before the actual event and are not visible using traditional histopathology. Using this information, we identified a prognostic signature for 0R/1R biopsies that with 90% accuracy can predict whether the next biopsy will be 2R/3R., Conclusions: RNA-seq-based molecular characterization of EMBs shows significant promise for the early detection of cardiac allograft rejection., (Copyright © 2022 International Society for Heart and Lung Transplantation. Published by Elsevier Inc. All rights reserved.)

The cost of heart failure care is high owing to the cost of hospitalization and chronic treatments. Heart failure treatments vary in their benefit and cost. The cost effectiveness of therapies can be determined by comparing the cost of treatment required to obtain a certain benefit, often defined as an increase in 1 year of life. This review was sponsored by the Heart Failure Society of America and describes the growing economic burden of heart failure for patients and the health care system in the United States. It also provides a summary of the cost effectiveness of drugs, devices, diagnostic tests, hospital care, and transitions of care for patients with heart failure. Many medications that are no longer under patent are inexpensive and highly cost-effective. These include angiotensin-converting enzyme inhibitors, beta-blockers and mineralocorticoid receptor antagonists. In contrast, more recently developed medications and devices, vary in cost effectiveness, and often have high out-of-pocket costs for patients., Competing Interests: Declaration of competing interest None., (Copyright © 2022. Published by Elsevier Inc.)

Introduction: Research suggests that frailty not only influence individual systems, but also it affects the interconnection between them. However, no study exists to show how the interplay between cardiovascular and motor performance is compromised with frailty., Aim: To investigate the effect of frailty on the association between heart rate (HR) dynamics and gait performance., Methods: Eighty-five older adults (≥65 years and able to walk 9.14 meters) were recruited (October 2016-March 2018) and categorized into 26 non-frail (age = 78.65±7.46 years) and 59 pre-frail/frail individuals (age = 81.01±8.17) based on the Fried frailty phenotype. Participants performed gait tasks while equipped with a wearable electrocardiogram (ECG) sensor attached to the chest, as well as wearable gyroscopes for gait assessment. HR dynamic parameters were extracted, including time to peak HR and percentage increase in HR in response to walking. Using the gyroscope sensors gait parameters were recorded including stride length, stride velocity, mean swing velocity, and double support., Results: Among the pre-frail/frail group, time to peak HR was significantly correlated with all gait parameters (p<0.0001, r = 0.51-0.59); however, for the non-frail group, none of the correlations between HR dynamics and gait performance parameters were significant (p>0.45, r = 0.03-0.15). The moderation analysis of time to peak HR, demonstrated a significant interaction effect of HR dynamics and frailty status on walking velocity (p<0.01), and the interaction effect was marginally non-significant for other gait parameters (p>0.10)., Conclusions: Current findings, for the first time, suggest that a compromised motor and cardiac autonomic interaction exist among pre-frail/frail older adults; an impaired HR performance (i.e., slower increase of HR in response to stressors) may lead to a slower walking performance. Assessing physical performance and its corresponding HR behavior should be studied as a tool for frailty screening and providing insights about the underlying cardiovascular-related mechanism leading to physical frailty., Competing Interests: The authors have declared that no competing interests exist.

Background: Uninsurance is a known contributor to racial/ethnic health inequities. Insurance is often needed for prescriptions and follow-up appointments. Therefore, we determined whether the Affordable Care Act(ACA) Medicaid Expansion was associated with increased receipt of guideline-directed medical treatment(GDMT) at discharge among patients hospitalized with heart failure(HF) by race/ethnicity., Methods: Using Get With The Guidelines-HF registry, logistic regression was used to assess odds of receiving GDMT(HF medications; education; follow-up appointment) in early vs non-adopter states before(2012 - 2013) and after ACA Medicaid Expansion(2014 - 2019) within each race/ethnicity, accounting for patient-level covariates and within-hospital clustering. We tested for an interaction(p-int) between GDMT and pre/post Medicaid Expansion time periods., Results: Among 271,606 patients(57.5% early adopter, 42.5% non-adopter), 65.5% were White, 22.8% African American, 8.9% Hispanic, and 2.9% Asian race/ethnicity. Independent of ACA timing, Hispanic patients were more likely to receive all GDMT for residing in early adopter states compared to non-adopter states (P <.0001). In fully-adjusted analyses, ACA Medicaid Expansion was associated with higher odds of receipt of ACEI/ARB/ARNI in Hispanic patients [before ACA:OR 0.40(95%CI:0.13,1.23); after ACA:OR 2.46(1.10,5.51); P-int = .0002], but this occurred in the setting of an immediate decline in prescribing patterns, particularly among non-adopter states, followed by an increase that remained lowest in non-adopter states. The ACA was not associated with receipt of GDMT for other racial/ethnic groups., Conclusions: Among GWTG-HF hospitals, Hispanic patients were more likely to receive all GDMT if they resided in early adopter states rather than non-adopter states, independent of ACA Medicaid Expansion timing. ACA implementation was only associated with higher odds of receipt of ACEI/ARB/ARNI in Hispanic patients. Additional steps are needed for improved GDMT delivery for all., (Copyright © 2021. Published by Elsevier Inc.)

Importance: Idiopathic dilated cardiomyopathy (DCM) aggregates in families, and early detection in at-risk family members can provide opportunity to initiate treatment prior to late-phase disease. Most studies have included only White patients, yet Black patients with DCM have higher risk of heart failure-related hospitalization and death., Objective: To estimate the prevalence of familial DCM among DCM probands and the age-specific cumulative risk of DCM in first-degree relatives across race and ethnicity groups., Design, Setting, and Participants: A family-based, cross-sectional study conducted by a multisite consortium of 25 US heart failure programs. Participants included patients with DCM (probands), defined as left ventricular systolic dysfunction and left ventricular enlargement after excluding usual clinical causes, and their first-degree relatives. Enrollment commenced June 7, 2016; proband and family member enrollment concluded March 15, 2020, and April 1, 2021, respectively., Exposures: The presence of DCM in a proband., Main Outcomes and Measures: Familial DCM defined by DCM in at least 1 first-degree relative; expanded familial DCM defined by the presence of DCM or either left ventricular enlargement or left ventricular systolic dysfunction without known cause in at least 1 first-degree relative., Results: The study enrolled 1220 probands (median age, 52.8 years [IQR, 42.4-61.8]; 43.8% female; 43.1% Black and 8.3% Hispanic) and screened 1693 first-degree relatives for DCM. A median of 28% (IQR, 0%-60%) of living first-degree relatives were screened per family. The crude prevalence of familial DCM among probands was 11.6% overall. The model-based estimate of the prevalence of familial DCM among probands at a typical US advanced heart failure program if all living first-degree relatives were screened was 29.7% (95% CI, 23.5% to 36.0%) overall. The estimated prevalence of familial DCM was higher in Black probands than in White probands (difference, 11.3% [95% CI, 1.9% to 20.8%]) but did not differ significantly between Hispanic probands and non-Hispanic probands (difference, -1.4% [95% CI, -15.9% to 13.1%]). The estimated prevalence of expanded familial DCM was 56.9% (95% CI, 50.8% to 63.0%) overall. Based on age-specific disease status at enrollment, estimated cumulative risks in first-degree relatives at a typical US advanced heart failure program reached 19% (95% CI, 13% to 24%) by age 80 years for DCM and 33% (95% CI, 27% to 40%) for expanded DCM inclusive of partial phenotypes. The DCM hazard was higher in first-degree relatives of non-Hispanic Black probands than non-Hispanic White probands (hazard ratio, 1.89 [95% CI, 1.26 to 2.83])., Conclusions and Relevance: In a US cross-sectional study, there was substantial estimated prevalence of familial DCM among probands and modeled cumulative risk of DCM among their first-degree relatives., Trial Registration: ClinicalTrials.gov Identifier: NCT03037632.

Background: Polypharmacy is associated with a poor prognosis in the elderly, however, information on the association of polypharmacy with cardiovascular outcomes in heart failure with preserved ejection fraction is sparse. This study sought to investigate the relationship between polypharmacy and adverse cardiovascular events in patients with heart failure with preserved ejection fraction., Methods: Baseline total number of medications was determined in 1758 patients with heart failure with preserved ejection fraction enrolled in the Americas regions of the TOPCAT trial (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist), by 3 categories: nonpolypharmacy (<5 medications), polypharmacy (5-9), and hyper-polypharmacy (≥10). We examined the relationship of polypharmacy status with the primary outcome (cardiovascular death, HF hospitalization, or aborted cardiac arrest), hospitalizations for any reason, and serious adverse events., Results: The proportion of patients taking 5 or more medications was 92.5% (inclusive of polypharmacy [38.7%] and hyper-polypharmacy [53.8%]). Over a 2.9-year median follow-up, compared with patients with polypharmacy, hyper-polypharmacy was associated with an increased risk for the primary outcome, hospitalization for any reason and any serious adverse events in the univariable analysis, but not significantly associated with mortality. After multivariable adjustment for demographic and comorbidities, hyper-polypharmacy remained significantly associated with an increased risk for hospitalization for any reason (hazard ratio, 1.22 [95% CI, 1.05-1.41]; P =0.009) and any serious adverse events (hazard ratio, 1.23 [95% CI, 1.07-1.42]; P =0.005), whereas the primary outcome was no longer statistically significant., Conclusions: Hyper-polypharmacy was common and associated with an elevated risk of hospitalization for any reason and any serious adverse events in patients with heart failure with preserved ejection fraction. There were no significant associations between polypharmacy status and mortality.

Background The majority of living organ donors are women, but few are deceased organ donors, which increases risks associated with sex mismatched organs. We sought to identify reasons for sex disparities in organ donation and strategies for equity. Methods and Results Using Amazon's Mechanical Turk, we examined US adults' perceptions regarding donation in a mixed-methods survey study. Results were compared by sex with Fisher's exact test and T-tests for quantitative results and qualitative descriptive analyses for write-in responses. Among 667 participants (55% women), the majority of men (64.8%) and women (63.4%) self-identified as registered donors. Women's willingness to donate their own organs to family members ( P =0.03) or strangers ( P =0.03) was significantly higher than men. Donors from both sexes were guided by: desire to help, personal experience, and believing organs would be useless to deceased donors. Non-donors from both sexes were guided by: no reason, medical mistrust, contemplating donation. When considering whether to donate organs of a deceased family member, women were equally guided by a family member's wishes and believing the family member had no further use for organs. Men had similar themes but valued the family member's wishes more. Among non-donors, both sexes would consider donation if more information was provided. Conclusions In a national survey, both sexes had similar reasons for becoming and not becoming an organ donor. However, compared with men, women were more willing to donate their organs to family members and strangers. Improving education and communicating wishes regarding organ donation with direct relatives may increase sex equity in deceased organ donation.

Background: Randomized controlled trials (RCTs) often target enrollment of patients with demographics and outcomes less representative of the broader population of interest. To provide context for the VICTORIA trial (Vericiguat Global Study in Subjects With Heart Failure With Reduced Ejection Fraction), we designed a registry of hospitalized patients with worsening heart failure to characterize their clinical profile, outcomes, and reasons for their nonparticipation in a RCT., Methods: Fifty-one RCT sites in Canada and the United States participated. Eligible patients included those with chronic heart failure, hospitalized for heart failure, and an ejection fraction <45%; no other exclusions were applied. Sites identified patients between 2017 and 2019 during the RCT enrollment period. RCT eligibility criteria were applied, and non-mutually exclusive reasons for nonenrollment were captured. Mortality at 1 year was estimated via the Meta-Analysis Global Group in Chronic Heart Failure risk score or as observed in the RCT., Results: Overall, 2056 patients were enrolled in the registry; 61% (n=1256) were ineligible for the RCT, 37% (n=766) were eligible but not enrolled, and 2% (n=34) were also enrolled in the RCT. Registry participants had a median age of 70, 33% were women, and 63% were White. The median risk score predicted a 20.9% 1-year mortality, higher than in the RCT (predicted 14.7% and observed 11.5%). Major reasons for ineligibility in the RCT included the use of nitrates (23%), systolic blood pressure <100 mm Hg (12%), and substance use (11%) with other exclusion criteria <10%. For eligible patients, reasons for nonparticipation in the RCT included lack of interest in participating (28%), poor compliance (25%), inability to complete follow-up (23%), too sick (20%), unable to provide consent (17%), and distance from site (15%)., Conclusions: Patients with worsening heart failure in routine clinical practice exhibit high-risk features, and approximately one-third were eligible for an RCT but excluded. The majority of these nonparticipating patients had modifiable reasons. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02861534.

Background: The prediction of outcomes in patients with heart failure (HF) may inform prognosis, clinical decisions regarding treatment selection, and new trial planning. The VerICiguaT Global Study in Subjects With Heart Failure With Reduced Ejection Fraction included high-risk patients with HF with reduced ejection fraction and a recent worsening HF event. The study participants had a high event rate despite the use of contemporary guideline-based therapies. To provide generalizable predictive data for a broad population with a recent worsening HF event, we focused on risk prognostication in the placebo group., Methods and Results: Data from 2524 participants randomized to placebo with chronic HF (New York Heart Association functional class II-IV) and an ejection fraction of less than 45% were studied and backward variable selection was used to create Cox proportional hazards models for clinical end points, selecting from 66 candidate predictors. Final model results were produced, accounting for missing data, and nonlinearities. Optimism-corrected c-indices were calculated using 200 bootstrap samples. Over a median follow-up of 10.4 months, the primary outcome of HF hospitalization or cardiovascular death occurred in 972 patients (38.5%). Independent predictors of increased risk for the primary end point included HF characteristics (longer HF duration and worse New York Heart Association functional class), medical history (prior myocardial infarction), and laboratory values (higher N-terminal pro-hormone B-type natriuretic peptide, bilirubin, urate; lower chloride and albumin). Optimism-corrected c-indices were 0.68 for the HF hospitalization/cardiovascular death model, 0.68 for HF hospitalization/all-cause death, 0.72 for cardiovascular death, and 0.73 for all-cause death., Conclusions: Predictive models developed in a large diverse clinical trial with comprehensive clinical and laboratory baseline data-including novel measures-performed well in high-risk patients with HF who were receiving excellent guideline-based clinical care., Clinical Trial Registration: Clinicaltrials.gov identifier, NCT02861534.Lay Summary: Patients with heart failure may benefit from tools that help clinicians to better understand a patient's risk for future events like hospitalization. Relatively few risk models have been created after the worsening of heart failure in a contemporary cohort. We provide insights on the risk factors for clinical events from a recent, large, global trial of patients with worsening heart failure to help clinicians better understand and communicate prognosis and select treatment options., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Objective: The Beta-Blocker Evaluation Survival Trial showed no survival benefit for bucindolol in New York Heart Association (NYHA) class III/IV heart failure (HF) with reduced ejection fraction, but subanalyses suggested survival benefits for non-Black subjects and Arg389 homozygotes. We conducted an ex ante economic evaluation of Arg389 targeted treatment with bucindolol versus carvidolol, complementing a previous ex ante economic evaluation of bucindolol preceded by genetic testing for the Arg389 polymorphism, in which genetic testing prevailed economically over no testing., Methods: A decision tree analysis with an 18-month time horizon was performed to estimate the cost effectiveness/cost utility of trajectories of 100%, 50%, and 0% of patients genetically tested for Arg389 and comparing bucindolol with empirical carvedilol treatment as per prior BEST subanalyses. Incremental cost-effectiveness/cost-utility ratios (ICERs/ICURs) were estimated., Results: Race-based analyses for non-White subjects at 100% testing showed a loss of (0.04) life-years and (0.03) quality-adjusted life-years (QALYs) at an incremental cost of $2185, yielding a negative ICER of ($54,625)/life-year and ICUR of ($72,833)/QALY lost; at 50%, the analyses showed a loss of (0.27) life-years and (0.16) QALYs at an incremental cost of $1843, yielding a negative ICER of ($6826)/life-year and ICUR of ($11,519)/QALY lost; at 0%, the analyses showed a loss of (0.33) life-years and (0.30) QALYs at an incremental cost of $1459, yielding a negative ICER of ($4421)/life-year and ICUR of ($4863)/QALY lost. Arg389 homozygote analyses at 100% testing showed incremental gains of 0.02 life-years and 0.02 QALYs at an incremental cost of $378, yielding an ICER of 18,900/life-year and ICUR of $18,900/QALY gained; at 50%, the analyses showed a loss of (0.24) life-years and (0.09) QALYs at an incremental cost of $1039, yielding a negative ICER of ($4329)/life-year and ICUR of ($9336)/QALY lost; at 0%, the analyses showed a loss of (0.33) life-years and (0.30) QALYs at an incremental cost of $1459, yielding a negative ICER of ($4421)/life-year and ICUR of ($4863)/QALY lost., Conclusion: This independent ex ante economic evaluation suggests that genetically targeted treatment with bucindolol is unlikely to yield clinicoeconomic benefits over empirical treatment with carvedilol in NYHA III/IV HF.

Importance: Racial bias is associated with the allocation of advanced heart failure therapies, heart transplants, and ventricular assist devices. It is unknown whether gender and racial biases are associated with the allocation of advanced therapies among women., Objective: To determine whether the intersection of patient gender and race is associated with the decision-making of clinicians during the allocation of advanced heart failure therapies., Design, Setting, and Participants: In this qualitative study, 46 US clinicians attending a conference for an international heart transplant organization in April 2019 were interviewed on the allocation of advanced heart failure therapies. Participants were randomized to examine clinical vignettes that varied 1:1 by patient race (African American to white) and 20:3 by gender (women to men) to purposefully target vignettes of women patients to compare with a prior study of vignettes of men patients. Participants were interviewed about their decision-making process using the think-aloud technique and provided supplemental surveys. Interviews were analyzed using grounded theory methodology, and surveys were analyzed with Wilcoxon tests., Exposure: Randomization to clinical vignettes., Main Outcomes and Measures: Thematic differences in allocation of advanced therapies by patient race and gender., Results: Among 46 participants (24 [52%] women, 20 [43%] racial minority), participants were randomized to the vignette of a white woman (20 participants [43%]), an African American woman (20 participants [43%]), a white man (3 participants [7%]), and an African American man (3 participants [7%]). Allocation differences centered on 5 themes. First, clinicians critiqued the appearance of the women more harshly than the men as part of their overall impressions. Second, the African American man was perceived as experiencing more severe illness than individuals from other racial and gender groups. Third, there was more concern regarding appropriateness of prior care of the African American woman compared with the white woman. Fourth, there were greater concerns about adequacy of social support for the women than for the men. Children were perceived as liabilities for women, particularly the African American woman. Family dynamics and finances were perceived to be greater concerns for the African American woman than for individuals in the other vignettes; spouses were deemed inadequate support for women. Last, participants recommended ventricular assist devices over transplantation for all racial and gender groups. Surveys revealed no statistically significant differences in allocation recommendations for African American and white women patients., Conclusions and Relevance: This national study of health care professionals randomized to clinical vignettes that varied only by gender and race found evidence of gender and race bias in the decision-making process for offering advanced therapies for heart failure, particularly for African American women patients, who were judged more harshly by appearance and adequacy of social support. There was no associated between patient gender and race and final recommendations for allocation of advanced therapies. However, it is possible that bias may contribute to delayed allocation and ultimately inequity in the allocation of advanced therapies in a clinical setting.

Coronavirus disease (COVID-19) is a serious illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The symptoms of the disease range from asymptomatic to mild respiratory symptoms and even potentially life-threatening cardiovascular and pulmonary complications. Cardiac complications include acute myocardial injury, arrhythmias, cardiogenic shock and even sudden death. Furthermore, drug interactions with COVID-19 therapies may place the patient at risk for arrhythmias, cardiomyopathy and sudden death. In this review, we summarise the cardiac manifestations of COVID-19 infection and propose a simplified algorithm for patient management during the COVID-19 pandemic., (Copyright © 2020 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.)

Background: The Affordable Care Act (ACA) has been associated with increased heart transplant listings among blacks, who are disproportionately uninsured. It is unclear whether the ACA is also associated with increased ventricular assist device implantation in blacks., Methods: Using Healthcare Cost and Utilization Project Data State Inpatient Databases from 19 states and Washington DC, we analyzed 1157 patients from early-adopter states (ACA Medicaid expansion by January 2014) and 785 patients from nonadopter states (no implementation from 2013 to 2014). Piecewise Poisson regression with a discontinuity was used to estimate change in census-adjusted rates of ventricular assist device implants by race and ACA adopter status 1 year before and after January 2014., Results: Following the ACA Medicaid expansion, the proportional change in rate increased significantly among blacks from early adopter (1.40 [95% CI, 1.12-1.75], pre 0.57/100 000 to post-ACA 0.80/100 000) but not nonadopter states (1.25 [95% CI, 0.98-1.58], pre 0.40/100 000 to post-ACA 0.50/100 000). However, the early and nonadopter changes in implantation rates were not statistically different from each other ( P =0.50). There were no immediate changes in whites in either state group following the ACA Medicaid expansion (early adopter, 1.12 [95% CI, 0.98-1.29], pre 0.27/100 000 to post-ACA 0.30/100 000; nonadopter, 0.98 [95% CI, 0.82-1.16], pre 0.27/100 000 to post-ACA 0.26/100 000)., Conclusions: Among eligible states participating in Healthcare Cost and Utilization Project Data State Inpatient Databases, the ACA was not associated with immediate changes in ventricular assist device implantation rates by race. Although a significant increase in implantation rate was observed among blacks from early-adopter states, the change was not statistically different from the change seen in nonadopter states.