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Background: The Screening for Cardiac Amyloidosis with Nuclear Imaging in Minority Populations study seeks to determine the prevalence of transthyretin cardiac amyloidosis (ATTR-CA) among older Black or Caribbean Hispanic individuals with heart failure and an increased wall thickness. We noticed varied recruitment percentages across the recruiting sites and sought to determine the factors associated with greater percentage enrollment of eligible participants., Methods: The percentage of enrolled to eligible participants was calculated across study sites. Baseline demographic and clinical characteristics, health literacy, trust in providers, perceived discrimination, area deprivation index (ADI) and English proficiency were compared by site using Kruskal-Wallis's test or one-way ANOVA for continuous variables and the Chi-Square test or Fisher's exact test for categorical variables. Wilcoxon rank sum and Chi-Square tests, with multiple comparisons correction using the false discovery rate (FDR) method, were used as post-hoc analysis when results were statistically significant., Results: Among the four recruiting sites, Boston Medical Center, Columbia University Irving Medical Center, Harlem Hospital and Yale University, which employed different recruitment approaches, the percentage of participants enrolled among eligible participants differed, with the highest rate at Harlem Hospital (n=149 of 310, 48%), followed by Yale University (n=27 of 67, 40%), Boston University (n=247 of 655, 38%), and Columbia University (n=137of 442, 32%), p <0.01. Direct recruitment by the primary cardiovascular care team providing clinical care was associated with higher percent enrolled across sites as were higher education levels and English proficiency. Enrollment differences across sites were not associated with the number of chronic diseases, physician trust, perceived discrimination, or health literacy., Conclusions: Recruitment of eligible under-represented minorities (URMs) in SCAN-MP was associated with approaches employed in recruitment, including direct initial contact by the primary cardiovascular care team providing the potential participant's clinical care. Such data may help improve approaches to more successful recruitment of URMs in clinical research., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: Randomized controlled trials typically require study-specific visits, which can burden participants and sites. Remote follow-up, such as centralized call centers for participant-reported or site-reported, holds promise for reducing costs and enhancing the pragmatism of trials. In this secondary analysis of the CONNECT-HF (Care Optimization Through Patient and Hospital Engagement For HF) trial, we aimed to evaluate the completeness and validity of the remote follow-up process., Methods and Results: The CONNECT-HF trial evaluated the effect of a post-discharge quality-improvement intervention for heart failure compared to usual care for up to 1 year. Suspected events were reported either by participants or by health care proxies through a centralized call center or by sites through medical-record queries. When potential hospitalization events were suspected, additional medical records were collected and adjudicated. Among 5942 potential hospitalizations, 18% were only participant-reported, 28% were reported by both participants and sites, and 50% were only site-reported. Concordance rates between the participant/site reports and adjudication for hospitalization were high: 87% participant-reported, 86% both, and 86% site-reported. Rates of adjudicated heart failure hospitalization events among adjudicated all-cause hospitalization were lower but also consistent: 45% participant-reported, 50% both, and 50% site-reported., Conclusions: Participant-only and site-only reports missed a substantial number of hospitalization events. We observed similar concordance between participant/site reports and adjudication for hospitalizations. Combining participant-reported and site-reported outcomes data is important to capture and validate hospitalizations effectively in pragmatic heart failure trials., Competing Interests: Disclosures ADV reports research funding through his institution from Biofourmis, Bodyport, Cytokinetics, American Regent, NIH and NHLBI, Novartis, and Story Health, and provides consulting services for and/or receives honoraria from Abiomed, Cardionomic, LivaNova, Natera, NovoNordisk, Story Health, and Zoll. GF reports consulting for Abbott, Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, Cytokinetics, Eli Lilly, Johnson & Johnson, Medtronic, Merck, Novartis, and Pfizer. NA reports research funding through her institution from Roche and AstraZeneca, and consulting for Abiomed, American Regent, AstraZeneca, Bayer, Boehringer Ingelheim, Cytokinetics, Daiichi Sanyko, Eli Lilly, and Lexicon. JB is a consultant for Abbott, American Regent, Amgen, Applied Therapeutic, AskBio, Astellas, AstraZeneca, Bayer, Boehringer Ingelheim, Boston Scientific, Bristol Myers Squibb, Cardiac Dimension, Cardiocell, Cardior, CSL Bearing, CVRx, Cytokinetics, Daxor, Edwards, Element Science, Faraday, Foundry, G3P, Innolife, Impulse Dynamics, Imbria, Inventiva, Ionis, Lexicon, Lilly, LivaNova, Janssen, Medtronics, Merck, Occlutech, Owkin, Novartis, Novo Nordisk, Pfizer, Pharmacosmos, Pharmain, Prolaio, Regeneron, Renibus, Roche, Salamandra, Sanofi, SC Pharma, Secretome, Sequana, SQ Innovation, Tenex, Tricog, Ultromics, Vifor, and Zoll. AN reports consulting for Amgen, Boehringer Ingelheim, Eli Lilly, Novartis, Vaxxinity, and Novo Nordisk. MF has no relevant disclosures., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: Data collected via wearables may complement in-clinic assessments to monitor subclinical heart failure (HF)., Objectives: Evaluate the association of sensor-based digital walking measures with HF stage and characterize their correlation with in-clinic measures of physical performance, cardiac function and participant reported outcomes (PROs) in individuals with early HF., Methods: The analyzable cohort included participants from the Project Baseline Health Study (PBHS) with HF stage 0, A, or B, or adaptive remodeling phenotype (without risk factors but with mild echocardiographic change, termed RF-/ECHO+) (based on available first-visit in-clinic test and echocardiogram results) and with sufficient sensor data. We computed daily values per participant for 18 digital walking measures, comparing HF subgroups vs stage 0 using multinomial logistic regression and characterizing associations with in-clinic measures and PROs with Spearman's correlation coefficients, adjusting all analyses for confounders., Results: In the analyzable cohort (N=1265; 50.6% of the PBHS cohort), one standard deviation decreases in 17/18 walking measures were associated with greater likelihood for stage-B HF (multivariable-adjusted odds ratios [ORs] vs stage 0 ranging from 1.18-2.10), or A (ORs vs stage 0, 1.07-1.45), and lower likelihood for RF-/ECHO+ (ORs vs stage 0, 0.80-0.93). Peak 30-minute pace demonstrated the strongest associations with stage B (OR vs stage 0=2.10; 95% CI:1.74-2.53) and A (OR vs stage 0=1.43; 95% CI:1.23-1.66). Decreases in 13/18 measures were associated with greater likelihood for stage-B HF vs stage A. Strength of correlation with physical performance tests, echocardiographic cardiac-remodeling and dysfunction indices and PROs was greatest in stage B, then A, and lowest for 0., Conclusions: Digital measures of walking captured by wearable sensors could complement clinic-based testing to identify and monitor pre-symptomatic HF., (Copyright © 2024 Verily Life Sciences LLC. Published by Elsevier Inc. All rights reserved.)

Competing Interests: Disclosures DIF and MF are advisors at Cadence; SB, TF and RC are employees of Cadence.

Background: Differences in demographics, risk factors, and clinical characteristics may contribute to variations in men and women in terms of the prevalence, clinical setting, and outcomes associated with worsening heart failure (WHF) events. We sought to describe sex-based differences in the epidemiology, clinical characteristics, and outcomes associated with WHF events across clinical settings., Methods and Results: We examined adults diagnosed with HF from 2010 to 2019 within a large, integrated health care delivery system. Electronic health record data were accessed for hospitalizations, emergency department (ED) visits and observation stays, and outpatient encounters. WHF was identified using validated natural language processing algorithms and defined as ≥1 symptom, ≥2 objective findings (including ≥1 sign), and ≥1 change in HF-related therapy. Incidence rates and associated outcomes for WHF were compared across care setting by sex. We identified 1,122,368 unique clinical encounters with a diagnosis code for HF, with 124,479 meeting WHF criteria. These WHF encounters existed among 102,116 patients, of whom 48,543 (47.5%) were women and 53,573 (52.5%) were men. Women experiencing WHF were older and more likely to have HF with preserved ejection fraction compared with men. The clinical settings of WHF were similar among women and men: hospitalizations (36.8% vs 37.7%), ED visits or observation stays (11.8% vs 13.4%), and outpatient encounters (4.4% vs 4.9%). Women had lower odds of 30-day mortality after an index hospitalization (adjusted odds ratio 0.88, 95% confidence interval 0.83-0.93) or ED visit or observation stay (adjusted odds ratio 0.86, 95% confidence interval 0.75-0.98) for WHF., Conclusions: Women and men contribute similarly to WHF events across diverse clinical settings despite marked differences in age and left ventricular ejection fraction., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: We conducted a multicenter, prospective, observational study to describe the incidence of orthostatic hypotension (OH) and orthostatic hypertension (OHtn) and its association with symptoms at standing and outcomes in patients with heart failure (HF)., Methods and Results: 321 active standing tests were performed in 87 inpatients during admission, and 316 tests were performed in 208 outpatients during follow-up. Blood pressure (BP) was measured by an automatic device 4 times in the supine position and at 1, 3 and 5 minutes of standing. Patients were queried about symptoms of orthostatic intolerance. The incidence of OH and OHtn was similar in both groups at baseline (classical OH 11%-22%, OHtn 3%-8%, depending on definition and timing). Reproducibility of BP changes with standing was low. Up to 50% of cases with abnormal responses were asymptomatic. Symptoms were variable and occurred mainly during the first minute of standing and had a U-shaped association with BP changes. OH in outpatients with HF was associated with a higher risks of death or readmission due to HF., Conclusions: Patients with HF have variable hemodynamic responses and symptoms during repeated active standing tests. OH might identify outpatients with HF who are at risk of long-term negative outcomes., Competing Interests: DISCLOSURES MF consults for PreHealth. All other authors declare no conflicts of interest., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: Wild-type transthyretin amyloid cardiomyopathy (ATTRwt-CM), an increasingly recognized cause of heart failure (HF), often remains undiagnosed until later stages of the disease., Methods and Results: A previously developed machine learning algorithm was simplified to create a random forest model based on 11 selected phenotypes predictive of ATTRwt-CM to estimate ATTRwt-CM risk in hypothetical patient scenarios. Using U.S. medical claims datasets (IQVIA), International Classification of Diseases codes were extracted to identify a training cohort of patients with ATTRwt-CM (cases) or nonamyloid HF (controls). After assessment in a 20% test sample of the training cohort, model performance was validated in cohorts of patients with International Classification of Diseases codes for ATTRwt-CM or cardiac amyloidosis vs nonamyloid HF derived from medical claims (IQVIA) or electronic health records (Optum). The simplified model performed well in identifying patients with ATTRwt-CM vs nonamyloid HF in the test sample, with an accuracy of 74%, sensitivity of 77%, specificity of 72%, and area under the curve of 0.82; robust performance was also observed in the validation cohorts., Conclusions: This simplified machine learning model accurately estimated the empirical probability of ATTRwt-CM in administrative datasets, suggesting it may serve as an easily implementable tool for clinical assessment of patient risk for ATTRwt-CM in the clinical setting., Brief Lay Summary: Wild-type transthyretin amyloid cardiomyopathy (ATTRwt-CM for short) is a frequently overlooked cause of heart failure. Finding ATTRwt-CM early is important because the disease can worsen rapidly without treatment. Researchers developed a computer program that predicts the risk of ATTRwt-CM in patients with heart failure. In this study, the program was used to check for 11 medical conditions linked to ATTRwt-CM in the medical claims records of patients with heart failure. The program was 74% accurate in identifying ATTRwt-CM in patients with heart failure and was then used to develop an educational online tool for doctors (the wtATTR-CM estimATTR)., Competing Interests: Conflicts of interest AH, VC, MB, JS, BE, and CI are full-time employees of Pfizer and own stock and/or stock options. AC was a Pfizer employee at the time that this research was conducted. SBH has received research grants and consulting fees from Akcea, Eidos, Ionis, and Pfizer. AM has received research grants from Pfizer, Akcea, and Ultromics (all paid to Oregon Health & Science University), and consulting fees from Eidos, Alnylam, Pfizer, Cytokinetics, and Ionis. SJS has received research grants from the National Institutes of Health (R01 HL107577, R01 HL127028, R01 HL140731, R01 HL149423), Actelion, AstraZeneca, Corvia, Novartis, and Pfizer; and has received consulting fees from Abbott, Actelion, AstraZeneca, Amgen, Aria CV, Axon Therapies, Bayer, Boehringer Ingelheim, Boston Scientific, Bristol Myers Squibb, Cardiora, CVRx, Cytokinetics, Edwards Lifesciences, Eidos, Eisai, Imara, Impulse Dynamics, Ionis, Ironwood, Lilly, Merck, MyoKardia, Novartis, Novo Nordisk, Pfizer, Prothena, Regeneron, Sanofi, Shifamed, Tenax, Tenaya, and United Therapeutics., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Peripartum cardiomyopathy (PPCM) is a rare but significant cause of new-onset heart failure (HF) during the peri- and post-partum periods. Advances in GDMT for HF with reduced ventricular function have led to substantial improvements in survival and quality of life, yet few studies examine the longitudinal care received by patients with PPCM. The aim of this research is to address this gap by retrospectively characterizing patients with PPCM across a multihospital health system and investigating the frequency of cardiology and HF specialty referrals. Understanding whether surveillance and medical management differ among patients referred to HF will help to underscore the importance of referring patients with PPCM to HF specialists for optimal care., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: Estimation of the effects that drugs or other interventions have on patients' symptoms and functions is crucial in heart failure trials. Traditional symptoms and functions clinical outcome assessments have important limitations. Actigraphy may help to overcome these limitations due to its objective nature and the potential for continuous recording of data. However, actigraphy is not currently accepted as clinically relevant by key stakeholders., Methods and Results: In this state-of-the-art study, the key aspects to consider when implementing actigraphy in heart failure trials are discussed. They include which actigraphy-derived measures should be considered, how to build endpoints using them, how to measure and analyze them, and how to handle the patients' and sites' logistics of integrating devices into trials. A comprehensive recommendation based on the current evidence is provided., Conclusion: Actigraphy is technically feasible in clinical trials involving heart failure, but successful implementation and use to demonstrate clinically important differences in physical functioning with drug or other interventions require careful consideration of many design choices., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Consensus recommendations for cardiogenic shock (CS) advise transfer of patients in need of advanced options beyond the capability of "spoke" centers to tertiary/"hub" centers with higher capabilities. However, outcomes associated with such transfers are largely unknown beyond those reported in individual health networks., Objectives: To analyze a contemporary, multicenter CS cohort with the aim of comparing characteristics and outcomes of patients between transfer (between spoke and hub centers) and nontransfer cohorts (those primarily admitted to a hub center) for both acute myocardial infarction (AMI-CS) and heart failure-related HF-CS. We also aim to identify clinical characteristics of the transfer cohort that are associated with in-hospital mortality., Methods: The Cardiogenic Shock Working Group (CSWG) registry is a national, multicenter, prospective registry including high-volume (mostly hub) CS centers. Fifteen U.S. sites contributed data for this analysis from 2016-2020., Results: Of 1890 consecutive CS patients enrolled into the CSWG registry, 1028 (54.4%) patients were transferred. Of these patients, 528 (58.1%) had heart failure-related CS (HF-CS), and 381 (41.9%) had CS related to acute myocardial infarction (AMI-CS). Upon arrival to the CSWG site, transfer patients were more likely to be in SCAI stages C and D, when compared to nontransfer patients. Transfer patients had higher mortality rates (37% vs 29%, < 0.001) than nontransfer patients; the differences were driven primarily by the HF-CS cohort. Logistic regression identified increasing age, mechanical ventilation, renal replacement therapy, and higher number of vasoactive drugs prior to or within 24 hours after CSWG site transfer as independent predictors of mortality among HF-CS patients. Conversely, pulmonary artery catheter use prior to transfer or within 24 hours of arrival was associated with decreased mortality rates. Among transfer AMI-CS patients, BMI > 28 kg/m 2 , worsening renal failure, lactate > 3 mg/dL, and increasing numbers of vasoactive drugs were associated with increased mortality rates., Conclusion: More than half of patients with CS managed at high-volume CS centers were transferred from another hospital. Although transfer patients had higher mortality rates than those who were admitted primarily to hub centers, the outcomes and their predictors varied significantly when classified by HF-CS vs AMI-CS., Competing Interests: Disclosures ARG is a consultant for NuPulseCV, is on the advisory board for Abiomed and has received research support from Verantos and Abbott. NKK receives consulting honoraria and institutional grant support from Abbott Laboratories, Abiomed, Boston Scientific, Medtronic, LivaNova, Getinge, and Zoll. SSS is a consultant for Abiomed. MKK is on the advisory board for Abiomed. JHM is a consultant for Abiomed. JA is a consultant for Abbott Laboratories and Abiomed. DB reports an unrestricted, educational grant from Abiomed. All other authors report that they have no relationships relevant to the contents of this article to disclose., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: Nurse-led disease management programs (DMPs) decrease readmission after acute decompensated heart failure (HF). We sought whether readmissions could be further reduced by lung ultrasound (LUS)-guided decongestion before discharge and during DMP., Methods and Results: Of 290 patients hospitalized with acute decompensated HF, 122 at high risk for readmission or mortality were randomized to receive usual care (UC) (n = 64) or UC plus intervention (DMP-Plus) (n = 58), comprising LUS-guided management before discharge and during at-home follow-up. Residual congestion was identified by ≥10 B-lines detected in 8 lung zones. The outcomes included a composite of readmission and/or mortality at 30 and 90 days, and 90-day HF readmission. Residual congestion was detected equally among the patient groups. The 30-day composite outcome occurred in 28% DMP-plus patients and 22% UC patients (odd ratio [OR], 1.36; 95% confidence interval [CI], 0.59-3.1; P = .5) and the 90-day HF readmission outcome occurred in 22% and 31%, respectively (odds ratio, 0.63; 95% CI, 0.28-1.43; P = .3). Residual congestion, identified at predischarge LUS examination in high-risk patients, was associated with early (<14-day) HF readmission (relative risk, 1.19; 95% CI, 1.06-1.32; P = .002) and multiple (≥2) readmissions over 90 days of follow-up (relative risk, 1.09; 95% CI, 1.01-1.16; P = .012), independent of demographics and comorbidities., Conclusions: Readmission in patients with incomplete decongestion before discharge occurs within the first 2 weeks. However, our DMP-plus strategy did not improve the primary outcome., Competing Interests: Disclosures The authors have nothing to disclose, (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Background: Infertility has been shown to be associated with a greater risk of incident heart failure with preserved ejection fraction. We studied the association of infertility with subclinical markers of heart failure with preserved ejection fraction, including echocardiographic signs of cardiac remodeling and cardiac biomarkers., Methods and Results: A history of infertility was ascertained in 2002 women enrolled in the Framingham Heart Study. We examined the association of infertility with echocardiographic measures and cardiac biomarkers with multivariable-adjusted linear regression models. Among 2002 women (mean age 40.84 ± 9.71 years), 285 (14%) reported a history of infertility. Infertility was associated with a greater E/e' ratio (β = 0.120, standard error 0.057, P = .04), even after adjustment for common confounders. Infertility was not associated with other echocardiographic measures or cardiac biomarkers., Conclusions: Infertility was associated with a greater E/e' ratio, a marker of diastolic dysfunction that may signal earlier subclinical cardiac remodeling in women with infertility., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Cognitive impairment is common among adults with heart failure (HF), as both diseases are strongly related to advancing age and multimorbidity (including both cardiovascular and noncardiovascular conditions). Moreover, HF itself can contribute to alterations in the brain. Cognition is critical for a myriad of self-care activities that are necessary to manage HF, and it also has a major impact on prognosis; consequently, cognitive impairment has important implications for self-care, medication management, function and independence, and life expectancy. Attuned clinicians caring for patients with HF can identify clinical clues present at medical encounters that suggest cognitive impairment. When present, screening tests such as the Mini-Cog, and consideration of referral for comprehensive neurocognitive testing may be indicated. Management of cognitive impairment should focus on treatment of underlying causes of and contributors to cognitive impairment, medication management/optimization, and accommodation of deficiencies in self-care. Given its implications on care, it is important to integrate cognitive impairment into clinical decision making. Although gaps in knowledge and challenges to implementation exist, this scientific statement is intended to guide clinicians in caring for and meeting the needs of an increasingly complex and growing subpopulation of patients with HF., Competing Interests: Disclosures PG is supported by National Institute on Aging, grant K76AG064428, was a member of the Junior Investigator Intensive Program of the US Deprescribing Research Network, which is funded by the National Institute on Aging (R24AG064025), and has received consulting fees from Sensorum Health and personal fees for medicolegal consulting related to heart failure. RJD has received research funding from CSL Behring, Otho S.A. Sprague Memorial Institute, Chicago Department of Public Health, and Cook County Department of Public Health and has also served as an advisory board member for Abiomed and PhaseBio Pharmaceuticals. LAA reports research funding from NIH and PCORI and has received consulting fees from ACI Clinical, Boston Scientific, Cytokinetics, Novartis, Quidel, StoryHealth, and UpToDate. SJP reports research funding from the National Institutes of Health. EZG reports consulting fees from Abbott, Boston Scientific and Masimo., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Competing Interests: DISCLOSURES Jagmeet P. Singh: Biotronik, Boston Scientific Corp, Medtronic, Abbott, Microport Inc, EBR Inc, CVRx, Impulse Dynamics, Cardiologs Inc, BackBeat, Sanofi, and Tora. Ramesh Wariar, Stephen Ruble, Brian Kwan, Viktoria Averina, and Craig Stolen, are Employees of Boston Scientific. John Boehmer has received research funding from Abbott industries and compensation for consulting from Boston Scientific, Medtronic, Nanowear, and Zoll Medical Corporation.

Background: In 2020, the Veterans Affairs (VA) health care system deployed a heart failure (HF) dashboard for use nationally. The initial version was notably imprecise and unreliable for the identification of HF subtypes. We describe the development and subsequent optimization of the VA national HF dashboard., Materials and Methods: This study describes the stepwise process for improving the accuracy of the VA national HF dashboard, including defining the initial dashboard, improving case definitions, using natural language processing for patient identification, and incorporating an imaging-quality hierarchy model. Optimization further included evaluating whether to require concurrent ICD-codes for inclusion in the dashboard and assessing various imaging modalities for patient characterization., Results: Through multiple rounds of optimization, the dashboard accuracy (defined as the proportion of true results to the total population) was improved from 54.1% to 89.2% for the identification of HF with reduced ejection fraction (HFrEF) and from 53.9% to 88.0% for the identification of HF with preserved ejection fraction (HFpEF). To align with current guidelines, HF with mildly reduced ejection fraction (HFmrEF) was added to the dashboard output with 88.0% accuracy., Conclusions: The inclusion of an imaging-quality hierarchy model and natural-language processing algorithm improved the accuracy of the VA national HF dashboard. The revised dashboard informatics algorithm has higher use rates and improved reliability for the health management of the population., Competing Interests: Disclosures The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Competing Interests: DISCLOSURES None.

There is waning interest among cardiology trainees in pursuing an Advanced Heart Failure/Transplant Cardiology (AHFTC) fellowship as evidenced by fewer applicants in the National Resident Matching Program match to this specialty. This trend has generated considerable attention across the heart failure community. In response, the Heart Failure Society of America convened the AHFTC Fellowship Task Force with a charge to develop strategies to increase the value proposition of an AHFTC fellowship. Subsequently, the HFSA sponsored the AHFTC Fellowship Consensus Conference April 26-27, 2023. Before the conference, interviews of 44 expert stakeholders diverse across geography, site of practice (traditional academic medical center or other centers), specialty/area of expertise, sex, and stage of career were conducted virtually. Based on these interviews, potential solutions to address the declining interest in AHFTC fellowship were categorized into five themes: (1) alternative training pathways, (2) regulatory and compensation, (3) educational improvements, (4) exposure and marketing for pipeline development, and (5) quality of life and mental health. These themes provided structure to the deliberations of the AHFTC Fellowship Consensus Conference. The recommendations from the Consensus Conference were subsequently presented to the HFSA Board of Directors to inform strategic plans and interventions. The HFSA Board of Directors later reviewed and approved submission of this document. The purpose of this communication is to provide the HF community with an update summarizing the processes used and concepts that emerged from the work of the HFSA AHFTC Fellowship Task Force and Consensus Conference., Competing Interests: Disclosures The authors have no conflicts of interest to declare., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: Climate is known to influence the incidence of cardiovascular events. However, their prediction with traditional statistical models remains imprecise., Methods and Results: We analyzed 27,799 acute heart failure (AHF) admissions within the Tokyo CCU Network Database from January 2014 to December 2019. High-risk AHF (HR-AHF) day was defined as a day with the upper 10th percentile of AHF admission volume. Deep neural network (DNN) and traditional regression models were developed using the admissions in 2014-2018 and tested in 2019. Explanatory variables included 17 meteorological parameters. Shapley additive explanations were used to evaluate their importance. The median number of incidences of AHF was 12 (9-16) per day in 2014-2018 and 11 (9-15) per day in 2019. The predicted AHF admissions correlated well with the observed numbers (DNN: R 2  = 0.413, linear regression: R 2  = 0.387). The DNN model was superior in predicting HR-AHF days compared with the logistic regression model [c-statistics: 0.888 (95% CI: 0.818-0.958) vs 0.827 (95% CI: 0.745-0.910): P = .0013]. Notably, the strongest predictive variable was the 7-day moving average of the lowest ambient temperatures., Conclusions: The DNN model had good prediction ability for incident AHF using climate information. Forecasting AHF admissions could be useful for the effective management of AHF., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Competing Interests: Disclosure The authors have declared no conflicts of interest. The funding organizations had no role in the design or conduct of the study; in collection, management, analysis, or interpretation of the data; or in preparation, review, or approval of the manuscript.

Given the numerous opportunities and the wide knowledge gaps in pediatric heart failure, an international group of pediatric heart failure experts with diverse backgrounds were invited and tasked with identifying research gaps in each pediatric heart failure domain that scientists and funding agencies need to focus on over the next decade., Competing Interests: DECLARATION OF COMPETING INTEREST S.A. is a site PI for a multicenter study led by the University of Michigan (reports no salary support). J.H. is the president of the Ohio College of Clinical Pharmacy and reports reimbursement for attending the annual meeting. S.C. reports honoraria for her speaking engagements by Enduring Hearts. J.R. is a consultant for Bayer, Merck, Bristol Myers Squibb, CRI Biotech, and American Regent; and reports payment for medical legal review. J.S. serves on the leadership committee for the Advanced Cardiac Therapies Improving Outcomes Network (ACTION). J.P. is a board member for the myocarditis foundation. S.M. is funded by the NIH/NHLBI, American Heart Association, and Additional Ventures; patents issued: CU2150H (Co-inventor for: “microRNA expression in pediatric heart failure patients), CU2650H (Co-inventor for: “Selective Inhibition of Beta-Adrenergic Receptors for the Treatment of Pediatric Heart Failure), patent pending: CU3250H (Co-inventor for: “microRNAs as a Prognostic Biomarker in Pediatric Heart Failure); and serves on the advisory board for Children's cardiomyopathy foundation, and Additional Ventures. K.L. serves as Chair of the Pediatric heart failure committee, American Heart Association Young Hearts Council. J.C. serves on the DSMB for the PumpKIN and reports unrestricted educational grant from Abbott. M.K.C. receives research funding and salary support from NHLBI (5K23HL145096), reports funding from Additional Ventures and Enduring Hearts, and serves on leadership for ISHLT, Transplant Families, Enduring Hearts. and ACTION. F.Z. reports research funding from National Institutes of Health (R01HL147957) and has stock in TransMedics, Inc. R.S. reports consulting fees from Novartis, CRI Biotech, American Regent, and Rocket Pharmaceuticals. K.S. serves on the scientific advisory board for Enduring Hearts. D.P. serves on the DSMB for Berlin EXCOR Active Driving system study. J.G. reports consulting fees from Daiichi Sankyo and has stock in Abbott. M.C. is funded by NIH/NHLBI, Additional Ventures, and Enduring Hearts. The other authors report no conflicts/disclosures., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: Recent advances in heart failure (HF) care have sought to shift management from inpatient to outpatient and observation settings. We evaluated the association among HF treatment in the (1) inpatient; (2) observation; (3) emergency department (ED); and (4) outpatient settings with 30-day mortality, hospitalizations and cost., Methods: Using 100% Medicare inpatient, outpatient and Part B files from 2011-2018, 1,534,708 unique patient encounters in which intravenous (IV) diuretics were received for a primary diagnosis of HF were identified. Encounters were sorted into mutually exclusive settings: (1) inpatient; (2) observation; (3) ED; or (4) outpatient IV diuretic clinic. The primary outcome was 30-day all-cause mortality. Secondary outcomes included 30-day hospitalization and total 30-day costs. Multivariable logistic and linear regression were used to examine the association between treatment location and the primary and secondary outcomes., Results: Patients treated in observation and outpatient settings had lower 30-day mortality rates (observation OR 0.67, 95% CI 0.66-0.69; P < 0.001; outpatient OR 0.53, 95% CI 0.51-0.55; P < 0.001) compared to those treated in inpatient settings. Observation and outpatient treatment were also associated with decreased 30-day total cost compared to inpatient treatment. Observation relative cost -$5528.77, 95% CI -$5613.63 to -$5443.92; outpatient relative cost -$7005.95; 95% CI -$7103.94 to -$6907.96). Patients treated in the emergency department and discharged had increased mortality rates (OR 1.15, 95% CI 1.13-1.17; P < 0.001) and increased rates of hospitalization (OR 1.72, 95% CI 1.70-1.73; P < 0.001) compared to patients treated as inpatients., Conclusions: Medicare beneficiaries who received IV diuresis for acute HF in the outpatient and observation settings had lower mortality rates and decreased costs of care compared to patients treated as inpatients. Outpatient and observation management of acute decompensated HF, when available, is a safe and cost-effective strategy in certain populations of patients with HF., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: Aortic regurgitation (AR) is a common complication following left ventricular assist device (LVAD) implantation. We evaluated the hemodynamic implications of AR in patients with HeartMate 3 (HM3) LVAD at baseline and in response to speed changes., Methods and Results: Clinically stable outpatients supported by HM3 who underwent a routine hemodynamic ramp test were retrospectively enrolled in this analysis. Patients were stratified based on the presence of at least mild AR at baseline speed. Hemodynamic and echocardiographic parameters were compared between the AR and non-AR groups. Sixty-two patients were identified. At the baseline LVAD speed, 29 patients (47%) had AR, while 33 patients (53%) did not. Patients with AR were older and supported on HM3 for a longer duration. At baseline speed, all hemodynamic parameters were similar between the groups including central venous pressure, pulmonary capillary wedge pressure, pulmonary arterial pressures, cardiac output and index, and pulmonary artery pulsatility index (p > 0.05 for all). During the subacute assessment, AR worsened in some, but not all, patients, with increases in LVAD speed. There were no significant differences in 1-year mortality or hospitalization rates between the groups, however, at 1-year, ≥ moderate AR and right ventricular failure (RVF) were detected in higher rates among the AR group compared to the non-AR group (45% vs. 0%; p < 0.01, and 75% vs. 36.8%; p = 0.02, respectively)., Conclusions: In a cohort of stable outpatients supported with HM3 who underwent a routine hemodynamic ramp test, the presence of mild or greater AR did not impact the ability of HM3 LVADs to effectively unload the left ventricle during early subacute assessment. Although the presence of AR did not affect mortality and hospitalization rates, it resulted in higher rates of late hemodynamic-related events in the form of progressive AR and RVF., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: This study compared the predictive value of the race-independent creatinine- and cystatin C-based estimated glomerular filtration rate (eGFR cr-cys ) and the race-dependent creatinine-based eGFR (eGFR cr ) for incident heart failure (HF)., Methods: This study combined the participant-level data from ARIC (Atherosclerosis Risk in Communities) (visit 4) and MESA (Multi-Ethnic Study of Atherosclerosis) (visit 1) to calculate eGFR cr-cys and eGFR cr . The primary outcome of the study was adjudicated incident HF over a follow-up period of 10 years. Multivariable Cox models were used to assess the risk of incident HF with the quartiles of eGFR cr-cys and eGFR cr ., Results: Among 15,615 individuals (median age: 62 [57-68] years; 55.0% females; 23.9% Black), the median eGFR cr-cys and eGFR cr were 91.4 (79.4, 102.0) mL/min/1.73m 2 and 84.7 (72.0, 94.7) mL/min/1.73m 2 , respectively. Compared with the fourth quartile of eGFR cr-cys , the hazard ratio for incident HF was 1.02 (95% CI:0.80-1.30) in the third quartile, 1.02 (95% CI:0.80-1.30) in the second quartile, and 1.47 (95% CI:1.16-1.86) in the first quartile. Compared with the 4th quartile of the eGFR cr, the risk of incident HF was similar in the 3rd (HR adj :0.90 [95% CI:0.73-1.12]), 2nd (HR adj : 0.96 [95% CI:0.77-1.20]), and 1st (HR adj :1.15 [95% CI:0.93-1.44]) quartiles. C-statistics were similar for the multivariable-adjusted Cox models for incident HF using eGFR cr (0.80 [0.79-0.81]) and eGFR cr-cys (0.80 [0.79-0.82])., Conclusion: The eGFR cr and eGFR cr-cys had comparable predictive values for incident HF., Competing Interests: Disclosures None., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: A diagnosis of Lamin proteins A and C cardiomyopathy (LMNA-CM) not only impacts disease prognosis, but also leads to specific guideline-recommended treatment options for these patients. This etiology is fundamentally different from other genetic causes of dilated CM., Methods and Results: LMNA-CM often presents early in the third to fourth decades and there is an age-dependent penetrance of nearly 90% among those with a positive genotype for LMNA-CM. Oftentimes, electrical abnormalities with either conduction disturbances and/or either atrial or ventricular arrhythmias manifest before there is imaging evidence of left ventricular dysfunction. Given these subtle early findings, cardiac magnetic resonance provides helpful guidance regarding patterns of enhancement associated with LMNA-CM, often before there is significant left ventricular dilation and/or a decrease in the ejection fraction and could be used for further understanding of risk stratification and prognosis of asymptomatic genotype-positive individuals. Among symptomatic patients with LMNA-CM, approximately one-quarter of individuals progress to needing advanced heart failure therapies such as heart transplantation., Conclusions: In the era of precision medicine, increased recognition of clinical findings associated with LMNA-CM and increased detection by genetic testing among patients with idiopathic nonischemic CM is of increasing importance. Not only does a diagnosis of LMNA-CM have implications for management and risk stratification, but new gene-based therapies continue to be evaluated for this group. Clinicians must be aware not only of the general indications for genetic testing in arrhythmogenic and dilated cardiomyopathies and of when to suspect LMNA-CM, but also of the clinical trials underway targeted toward the different genetic cardiomyopathies., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: Although vascular endothelial growth factor C (VEGF-C) is a known lymphangiogenesis modulator, its relationship with congestion formation and outcomes in acute heart failure (AHF) is unknown., Methods: Serum VEGF-C levels were measured in 237 patients hospitalized for AHF. The population was stratified by VEGF-C levels and linked with clinical signs of congestion and outcomes., Results: The study's population was divided in VEGF-C tertiles: low (median [Q25-Q75]: 33 [15-175]), medium (606 [468-741]) and high (1141 [968-1442] pg/mL). The group with low VEGF-C on admission presented with the highest prevalence of severe lower-extremity edema (low VEGF-C vs medium VEGF-C vs high VEGF-C): 30% vs 13% vs 20%; P = 0.02); the highest percentage of patients with ascites: 22% vs 9% vs 6%; P = 0.006; and the lowest proportion of patients with pulmonary congestion: 22% vs 30% vs 46%; P = 0.004. The 1-year mortality rate was the highest in the low VEGF-C tertile: 35% vs 28% vs 18%, respectively; P = 0.049. The same pattern was observed for the composite endpoint (death and AHF rehospitalization): 45% vs 43% vs 26%; P = 0.029. The risks of death at 1-year follow-up and composite endpoint were significantly lower in the high VEGF-C group., Conclusions: Low VEGF-C was associated with more severe signs of congestion (signs of fluid accumulation) and adverse clinical outcomes., Competing Interests: Disclosures None of the authors declares a conflict of interest in the scope of the manuscript., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Background: Duration of recovery and long-term outcomes have not been well-described in a large cohort of patients with heart failure with recovered ejection fraction (HFrecEF) owing to nonischemic cardiomyopathy. The aim of the study was to characterize the duration of recovery and long-term outcomes of patients with HFrecEF., Methods and Results: We performed a retrospective analysis of our institution's databases. Only patients with nonischemic cardiomyopathy, a chronic HF diagnosis, and a previous left ventricular ejection fraction (LVEF) of ≤35% who had a subsequent LVEF of ≥50% were considered to have recovery. Patients with an LVEF of ≤35% who did not recover served as the comparison group. Included were 2319 patients with an LVEF of ≤35%, of whom 465 (20% [18.4%-21.7%]) met the above criteria for recovery (HFrecEF group). Recovery in the HFrecEF group was temporary in most cases, with 50% of patients experiencing a decline in LVEF to <50% within 3.5 [interquartile range 2.4-4.9] years after the day of recovery. Age and sex adjusted death and hospitalization were lower in the HFrecEF group than the HFrEF group (HR 0.29 [interquartile range 0.20-0.41] for death and 0.44 [interquartile range 0.32-0.60] for HF hospitalization, P < .0001 for both). Longer recovery was associated with better survival, with patients spending >5 years in recovery (LVEF of ≥50%) displaying the highest survival rates (83% alive at 10 years after recovery). Survival after recurrence of LV dysfunction was longer for those whose recovery duration was >1 year., Conclusions: Patients with nonischemic HFrecEF display a unique clinical course. Although recovery is temporary in most cases, patients with HFrecEF display lower mortality and hospitalization rates, with the more durable the recovery of LV systolic function, the longer survival can be anticipated., Competing Interests: Declaration of Competing Interest None., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: Kidney function and its association with outcomes in patients with advanced heart failure (HF) has not been well-defined., Methods and Results: We conducted a retrospective cohort study comprising all adult residents of Olmsted County, Minnesota, with HF who developed advanced HF from 2007 to 2017. Patients were grouped by estimated glomerular filtration rate (eGFR) at advanced HF diagnosis using the 2021 Chronic Kidney Disease Epidemiology Collaboration equation. A linear mixed effects model was fitted to assess the relationship between development of advanced HF and longitudinal eGFR trajectory. A total of 936 patients with advanced HF (mean age 77 years, 55% male, 93.7% White) were included. Twenty-two percent of these patients had an eGFR of <30 at advanced HF diagnosis, 22% had an eGFR of 30-44, 23% had an eGFR of 45-59, and 32% had an eGFR of ≥60 mL/min/1.73 m 2 . The eGFR decreased faster after advanced HF (7.6% vs 10.9% annual decline before vs after advanced HF), with greater decreases after advanced HF in those with diabetes and preserved ejection fraction. An eGFR of <30 mL/min/1.73 m 2 was associated with worse survival after advanced HF compared with an eGFR of ≥60 mL/min/1.73 m 2 (adjusted hazard ratio 1.30, 95% confidence interval 1.07-1.57)., Conclusions: eGFR deteriorated faster after patients developed advanced HF. An eGFR of <30 mL/min/1.73 m 2 at advanced HF diagnosis was associated with higher mortality., Competing Interests: Declaration of Competing Interest The authors have no relationships with industry to disclose., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: In 1982, Drs. Barold and Goldberger described an ECG triad associated with left ventricular dysfunction (LVD) consisting of high precordial QRS voltage, low limb lead voltage, and poor precordial R wave progression. Studies have since attempted to replicate the originally reported sensitivity (70%), specificity (>99%), and positive predictive value (PPV, 100%) of Goldberger's triad (GT) with variable results., Purpose: To assess sensitivity, specificity and PPV of GT as a screening tool for LVD in the current era., Methods: We performed: (1) A systematic review of the published studies; (2) Searched our hospital ECG database (GE MUSE) for diagnoses of "low limb-voltage" and "left ventricular hypertrophy" from 2017 to 2022; identified ECGs were analyzed for GT criteria and their medical records were screened for LVD. (3) ECG analysis of patients with known idiopathic LVD for the GT., Results: A total of 11,115 patients from 8 studies were included in the systematic review of published studies and showed widely varying sensitivity, specificity and PPV. A total of 4576 ECGs (in GE MUSE) from 372 patients met initial screening criteria of low limb lead voltage and LVH; only 12 patients had ECGs that satisfied GT. Of these 12, only 1 patient had evidence of LVD, yielding a PPV of 8%. Finally, of the 40 patients with known LVD, only 1 met the ECG criteria for GT, resulting in a sensitivity of 2.5%., Conclusion: Our literature review does not support the original results of GT. ECGs from our database that met GT (searched by low limb-voltage and left ventricular hypertrophy) over a span of 5 years were rare. When present, the PPV of GT was 8%. In patients with established LVD, the sensitivity was 2.5%. These data do not validate GT as tool to identify LVD in the current era., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: Ambulatory hemodynamic monitoring (AHM) using an implantable pulmonary artery pressure sensor (CardioMEMS) is effective in improving outcomes for patients with heart failure. The operations of AHM programs are crucial to clinical efficacy of AHM yet have not been described., Methods and Results: An anonymous, voluntary, web-based survey was developed and emailed to clinicians at AHM centers in the United States. Survey questions were related to program volume, staffing, monitoring practices, and patient selection criteria. Fifty-four respondents (40%) completed the survey. Respondents were 44% (n = 24) advanced HF cardiologists and 30% (n = 16) advanced nurse practitioners. Most respondents practice at a center that implants left ventricular assist devices (70%) or performs heart transplantation (54%). Advanced practice providers provide day-to-day monitoring and management in most programs (78%), and use of protocol-driven care is limited (28%). Perceived patient nonadherence and inadequate insurance coverage are cited as the primary barriers to AHM., Conclusions: Despite broad US Food and Drug Administration approval for patients with symptoms and at increased risk for worsening heart failure, the adoption of pulmonary artery pressure monitoring is concentrated at advanced heart failure centers, and modest numbers of patients are implanted at most centers. Understanding and addressing the barriers to referral of eligible patients and to broader adoption in community heart failure programs is needed to maximize the clinical benefits of AHM., Competing Interests: Declaration of Competing Interest AB is a consultant for Abbott. TAB is on the speaker's bureau for Abbott, KB is on the speaker's bureau for Abbott, Pfizer, and Novartis and a consultant for Abbott. AS has received research funding from Abbott, Edwards Lifesciences, Vifor, Pfizer, Bayer, General Prognostics, Story Health, Acorai, Boston Scientific, and Impulse Dynamics; is on the steering committees of Abbott, Boston Scientific, Biotronik, Story Health, RIVUS, Bayer, and General Prognostics; and is a consultant for Abbott, Boston Scientific, Edwards Lifesciences, Impulse Dynamics, Acorai, Story Health, General Prognostics, and BayerMF; TH has received research support from Abbott and Impedimed; and is a member of the speaker's bureau for Actelion Pharmaceuticals, Medtronic, Abbott, Boehringer Ingelheim, Bayer, and Lily. JA is a member of the speaker's bureau for Abbott and Abiomed; a consultant for Abbott and Abiomed; and a member of the steering committee for Abbott and Abiomed. The remaining authors declare no conflicts., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: Invasive hemodynamic measurement via right heart catheterization has shown divergent data in its role in the treatment of patients with heart failure (HF) and cardiogenic shock. We hypothesized that variation in data acquisition technique and interpretation might contribute to these observations. We sought to assess differences in hemodynamic acquisition and interpretation by operator subspecialty as well as level of experience., Methods and Results: Individual-level responses to how physicians both collect and interpret hemodynamic data at the time of right heart catheterization was solicited via a survey distributed to international professional societies in HF and interventional cardiology. Data were stratified both by operator subspecialty (HF specialists or interventional cardiologists [IC]) and operator experience (early career [≤10 years from training] or late career [>10 years from training]) to determine variations in clinical practice. For the sensitivity analysis, we also look at differences in each subgroup. A total of 261 responses were received. There were 141 clinicians (52%) who self-identified as HF specialists, 99 (38%) identified as IC, and 20 (8%) identified as other. There were 142 early career providers (54%) and late career providers (119 [46%]). When recording hemodynamic values, there was considerable variation in practice patterns, regardless of subspecialty or level of experience for the majority of the intracardiac variables. There was no agreement or mild agreement among HF and IC as to when to record right atrial pressures or pulmonary capillary wedge pressures. HF cardiologists were more likely to routinely measure both Fick and thermodilution cardiac output compared with IC (51% vs 29%, P < .001), something mirrored in early career vs later career cardiologists., Conclusions: Significant variation exists between the acquisition and interpretation of right heart catheterization measurements between HF and IC, as well as those early and late in their careers. With the growth of the heart team approach to management of patients in cardiogenic shock, standardization of both assessment and management practices is needed., Competing Interests: Declaration of Competing Interests Financial Disclosure: Statistical funding via UChicago Cardiology Data Science Gift. JG is a speaker for Abbott. ADD reports research funding through his institution from the American Heart Association, Biofourmis, Bodyport, Cytokinetics, American Regent, Inc, the NHLBI, Novartis, and Story Health. He also provides consulting services for and/or receives honoraria from Abiomed, AstraZeneca, Cardionomic, InnaMed, LivaNova, Natera, Novartis, Procyrion, Story Health, Vifor, and Zoll. He has also received nonfinancial support from Abbott for educational and research activities. All other authors have no relevant disclosures., (Copyright © 2023 Elsevier Inc. All rights reserved.)

The accurate assessment of hemodynamics is paramount to providing timely and efficacious care for patients presenting in cardiogenic shock. Recently, the regular use of the pulmonary artery catheter in cardiogenic shock has had a resurgence with emerging data indicating improved survival in the modern era. Optimal multidisciplinary management of advanced heart failure and cardiogenic shock relies on our ability to effectively communicate and understand the complete hemodynamic assessment. Standardization of data acquisition and a renewed focus on the physiological processes, and thresholds driving disease progression, including the coupling ratio and myocardial reserve, are needed to fully understand and interpret the hemodynamic assessment. This State-of-the-Art review discusses best practices in the cardiac catheterization laboratory as well as emerging data on the prognostic role of emerging advanced hemodynamic parameters., (Copyright © 2023 Elsevier Inc. All rights reserved.)