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.

Recurrent Hospitalizations and Response to Vericiguat in Heart Failure and Reduced Ejection Fraction.

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).

Genetic Architecture of Dilated Cardiomyopathy in Individuals of African and European Ancestry.

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.

Rare Variant Genetics and Dilated Cardiomyopathy Severity: The DCM Precision Medicine Study.

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.

A novel approach for assessing bias during team-based clinical decision-making.

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.

Screening for Dilated Cardiomyopathy in At-Risk First-Degree Relatives.

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.

Effectiveness of the Family Heart Talk Communication Tool in Improving Family Member Screening for Dilated Cardiomyopathy: Results of a Randomized Trial.

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.

Pilot test of a multicomponent implementation strategy for equity in advanced heart failure allocation.

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.

Group Dynamics and Allocation of Advanced Heart Failure Therapies-Heart Transplants and Ventricular Assist Devices-By Gender, Racial, and Ethnic Group.

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.

Phenomapping in heart failure with preserved ejection fraction: insights, limitations, and future directions.

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.

A randomized clinical trial of lipid metabolism modulation with fenofibrate for acute coronavirus disease 2019.

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/m2 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 ).

Clinical and Socioeconomic Determinants of Angiotensin Receptor-Neprilysin Inhibitor Prescription at Hospital Discharge in Patients With Heart Failure With Reduced Ejection Fraction.

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.

Association Between the Affordable Care Act Medicaid Expansion and Receipt of Cardiac Resynchronization Therapy by Race and Ethnicity.

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.

Relationships between 2018 UNOS heart policy and transplant outcomes in metropolitan, micropolitan, and rural settings.

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.

Vericiguat and Health-Related Quality of Life in Patients With Heart Failure With Reduced Ejection Fraction: Insights From the VICTORIA Trial.

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.

Whole transcriptome profiling of prospective endomyocardial biopsies reveals prognostic and diagnostic signatures of cardiac allograft rejection.

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.