Forecasting the impact of heart failure in the United States: a policy statement from the American Heart Association

Nurse-coordinated home-based cardiac rehabilitation for patients with heart failure: A scoping review

Objectives

This study aimed to review and summarize the studies of nurse-coordinated home-based cardiac rehabilitation for patients with heart failure.

Methods

The review was performed using Arksey and O'Malley's scoping review framework. A systematic search was conducted across eight databases, including PubMed, Embase, Web of Science, EBSCO, China Biomedical Literature Service System (SinoMed), China National Knowledge Infrastructure (CNKI), Wanfang Database, and Chinese Science and Technology Journals (CSTJ) Database, and Chinese Clinical Trial Registry, from inception to 30 April 2023. Articles relevant to the nurse-coordinated home-based cardiac rehabilitation for patients with heart failure were included.

Results

Eighteen studies were included in this review. These studies showed that nurses primarily focused on patient assessment, home-based cardiac rehabilitation planning and guidance, and follow-up. The studies also reported positive outcomes in patient safety, feasibility, and efficacy of the programs coordinated by nurses.

Conclusions

Home-based cardiac rehabilitation coordinated by nurses is beneficial to patients with heart failure. Future research will explore the potential of nurses in home-based cardiac rehabilitation for patients with heart failure, determine optimal evaluation criteria, and formulate safe, effective, and economical rehabilitation programs suitable for the patients.

Gut barrier dysfunction and endotoxemia in heart failure: A dangerous connubium?

Heart failure (HF) is a leading cause of death worldwide despite recent advances in pharmacological treatments. Gut microbiota dysbiosis and gut barrier dysfunction with consequent bacterial translocation and increased blood endotoxemia has gained much attention as one of the key pathogenetic mechanisms contributing to increased mortality of patients at risk or with cardiovascular disease. Indeed, increased blood levels of lipopolysaccharide (LPS), a glycolipid of outer membrane of gut gram-negative bacteria, have been detected in patients with diabetes, obesity and nonalcoholic fatty liver disease or in patients with established coronary disease such as myocardial infarction or atrial fibrillation, suggesting endotoxemia as aggravating factor via systemic inflammation and eventually vascular damage. Upon interaction with its receptor Toll-like receptor 4 (TLR4) LPS may, in fact, act at different cellular levels so eliciting formation of proinflammatory cytokines or exerting a procoagulant activity. Increasing body of evidence pointed to endotoxemia as factor potentially deteriorating the clinical course of patients with HF, that, in fact, is associated with gut dysbiosis-derived changes of gut barrier functionality and eventually bacteria or bacterial product translocation into systemic circulation. The aim of this review is to summarize current experimental and clinical evidence on the mechanisms linking gut dysbiosis-related endotoxemia with HF, its potential negative impact with HF progression, and the therapeutic strategies that can counteract endotoxemia.

The Prognostic Significance of Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio for Long-Term Survival in Patients With Severe Left Ventricular Dysfunction and Implantable Cardioverter Defibrillator

İntroduction: Systemic inflammation resulting from comorbidities such as arterial hypertension, diabetes, and obesity is responsible for the pathogenesis of myocardial structural and functional changes in heart failure. The neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are novel biomarkers of inflammation. The aim of this study was to evaluate the relationship between blood NLR and PLR levels and one-year cardiac mortality in primary prevention patients with left ventricular ejection fraction (LVEF) ≤35%, using an intracardiac defibrillator.

METHODS

A total of 180 compensated heart failure patients with LVEF<35% (ischemic or nonischemic) and implantable cardioverter-defibrillator (ICD) therapy for primary prevention who applied to the cardiology outpatient clinic of Zonguldak Bülent Ecevit Üniversitesi Hospital, Zonguldak, Türkiye, between March 2018 and June 2019 were consecutively included. The patients were followed for one year after the application.

RESULTS

In the multivariate logistic regression analysis model, only NLR (OR: 1.328; 95%CI: 1.129-1.563; p <0.01) was found independently associated with the risk of one-year cardiovascular mortality. Based on the NLR, levels were 2.69 ng/ml, and the area under the curve was found to be 0.795 (95%CI: 0.729-0.862) in the evaluation made with the receiver operating characteristic curve.

CONCLUSION

High NLR ratio levels independently predicted one-year cardiac mortality in patients with LVEF<35% and ICD for secondary protection. Large-scale randomized studies are needed to fully demonstrate the relationship between NLR levels and cardiovascular mortality in patients with severe left ventricular dysfunction and ICD.

Cardiac Autoantibodies Against Cardiac Troponin I in Post-Myocardial Infarction Heart Failure: Evaluation in a Novel Murine Model and Applications in Therapeutics

BACKGROUND

Cardiac autoantibodies (cAAbs) are involved in the progression of adverse cardiac remodeling in heart failure (HF). However, our understanding of cAAbs in HF is limited owing to the absence of relevant animal models. Herein, we aimed to establish and characterize a murine model of cAAb-positive HF after myocardial infarction (MI), thereby facilitating the development of therapeutics targeting cAAbs in post-MI HF.

METHODS

MI was induced in BALB/c mice. Plasma cAAbs were evaluated using modified Western blot-based methods. Prognosis, cardiac function, inflammation, and fibrosis were compared between cAAb-positive and cAAb-negative MI mice. Rapamycin was used to inhibit cAAb production.

RESULTS

Common cAAbs in BALB/c MI mice targeted cTnI (cardiac troponin I). Herein, 71% (24/34) and 44% (12/27) of the male and female MI mice, respectively, were positive for cAAbs against cTnI (cTnIAAb). Germinal centers were formed in the spleens and mediastinal lymph nodes of cTnIAAb-positive MI mice. cTnIAAb-positive MI mice showed progressive cardiac remodeling with a worse prognosis (P=0.014, by log-rank test), which was accompanied by cardiac inflammation, compared with that in cTnIAAb-negative MI mice. Rapamycin treatment during the first 7 days after MI suppressed cTnIAAb production (cTnIAAb positivity, 59% [29/49] and 7% [2/28] in MI mice treated with vehicle and rapamycin, respectively; P<0.001, by Pearson χ2 test), consequently improving the survival and ameliorating cardiac inflammation, cardiac remodeling, and HF in MI mice.

CONCLUSIONS

The present post-MI HF model may accelerate our understanding of cTnIAAb and support the development of therapeutics against cTnIAAbs in post-MI HF.

Heart Failure Remote Monitoring: A Review and Implementation How-To

Heart failure (HF) is a significant clinical and financial burden worldwide. Remote monitoring (RM) devices capable of identifying early physiologic changes in decompensation have the potential to reduce the HF burden. However, few trials have discussed at length the practical aspects of implementing RM in real-world clinical practice. The present paper reviews current RM devices and clinical trials, focusing on patient populations, outcomes, data collection, storage, and management, and describes the implementation of an RM device in clinical practice, providing a pragmatic and adaptable framework.

Correction for Collider Bias in the Genome-wide Association Study of Diabetes-Related Heart Failure due to Bidirectional Relationship between Heart Failure and Type 2 Diabetes

Aims

Type 2 diabetes (T2D) is a major risk factor for heart failure (HF) across demographic groups. On the other hand, metabolic impairment, including elevated T2D incidence is a hallmark of HF pathophysiology. We investigated the bidirectional relationship between T2D and HF, and identified genetic associations with diabetes-related HF after correction for potential collider bias.

Methods

We performed a genome-wide association study (GWAS) of HF to identify genetic instrumental variables (GIVs) for HF, and to enable bidirectional Mendelian Randomization (MR) analysis between T2D and HF. Since genetics and HF can independently influence T2D, collider bias may occur when T2D (i.e., collider) is controlled for by design or analysis. Thus, we conducted GWAS of diabetes-related HF with correction for collider bias.

Results

We first identified 61 genomic loci, including 24 novel loci, significantly associated with all-cause HF in 114,275 HF cases and over 1.5 million controls of European ancestry. Combined with the summary statistics of a T2D GWAS, we obtained 59 and 82 GIVs for HF and T2D, respectively. Using a two-sample bidirectional MR approach, we estimated that T2D increased HF risk (OR 1.07, 95% CI 1.04-1.10), while HF also increased T2D risk (OR 1.60, 95% CI 1.36-1.88). Then we performed a GWAS of diabetes-related HF corrected for collider bias due to prevalent HF affecting incidence of T2D. After removing the spurious association of TCF7L2 locus due to collider bias, we identified two genome-wide significant loci close to PITX2 (chromosome 4) and CDKN2B-AS1 (chromosome 9) associated with diabetes-related HF in the Million Veteran Program, and replicated the associations in the UK Biobank study.

Conclusion

We identified novel HF-associated loci to enable bidirectional MR study of T2D and HF. Our MR findings support T2D as a HF risk factor and provide strong evidence that HF increases T2D risk. As a result, collider bias leads to spurious genetic associations of diabetes-related HF, which can be effectively corrected to identify true positive loci. Evaluation of collider bias should be a critical component when conducting GWAS of complex disease phenotypes such as diabetes-related cardiovascular complications.

Sweetened beverages and incident heart failure

AIMS

Recent studies have demonstrated the associations of the consumption of different beverages with cardiometabolic diseases, whereas no studies have investigated such associations in heart failure (HF). Thus, this study aimed to explore the associations of the consumption of sugar-sweetened beverages (SSBs), artificially sweetened beverages (ASBs), and pure fruit/vegetable juices (PJs) with the risk of incident HF.

METHODS AND RESULTS

This prospective cohort study included 209 829 participants in the UK Biobank who completed at least one 24-h diet questionnaire and who were free of baseline HF. Cox proportional hazard models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs). During a median follow-up of 9.9 years, 4328 incident HF cases were recorded. Compared to corresponding non-consumers, individuals who consumed >2 L/week SSBs or ASBs had an increased risk of HF (HR: 1.22, 95% CI: 1.08-1.38 and HR: 1.30, 95% CI: 1.16-1.47, respectively) in the multivariate adjusted model. An inverse association was observed between the consumption of >0-1 L/week PJs and the risk of HF (HR, 0.90; 95% CI, 0.83-0.98). Additionally, a significant interaction was observed between PJ consumption and sleep duration on HF risk (P for interaction = 0.030).

CONCLUSIONS

Increased consumption of SSBs or ASBs may be an independent risk factor for HF, whereas moderate intake of PJs may have a protective effect on HF.

Holistic Approaches to Arrhythmia Management: Combining Medication, Ablation, and Device Interventions

This narrative review investigates the severe health issue of arrhythmias, which affects millions of people worldwide. A multifaceted strategy incorporating medicine, catheter ablation, and advanced device interventions is necessary to manage these disorders effectively. Medication is the cornerstone, and as antiarrhythmic medications develop, their efficacy and side effects are reduced. Success depends on having individualized treatment strategies that consider patient profiles and arrhythmia type. Catheter ablation, a minimally invasive surgery that targets and removes faulty heart electrical circuits, has become a potent therapy when drugs are ineffective. Technological developments, including high-resolution mapping systems and customized catheters, improve precision. Pacemakers and implantable cardioverter-defibrillators (ICDs) are two examples of implantable cardiac devices essential to managing all types of arrhythmias. Pacemakers provide a regular heartbeat when the body's natural pacing mechanism fails. At the same time, ICDs, with cutting-edge algorithms, can identify and stop life-threatening arrhythmias and offer high-risk patients vital protection. As device technology advances, smaller, more durable devices become available, improving patient comfort and lowering the need for replacements. The seamless fusion of these three strategies is where holistic arrhythmia management shines. Even for difficult instances, customized combination therapy combining medicine, ablation, and device interventions offers complete solutions. Healthcare providers must collaborate for this integrated strategy to deliver personalized, efficient, and holistic care. In conclusion, the management of arrhythmias has developed into a dynamic, synergistic discipline where drugs, catheter ablation, and devices all work in concert to deliver comprehensive care. For those with arrhythmias, a patient-centered strategy that considers their particular patient features and best integrates different modalities can significantly enhance their quality of life. The effectiveness and accessibility of holistic arrhythmia management could be further improved because of ongoing developments in these fields, which is encouraging for patients and medical professionals.

Artificial intelligence and heart failure: A state-of-the-art review

Heart failure (HF) is a heterogeneous syndrome affecting more than 60 million individuals globally. Despite recent advancements in understanding of the pathophysiology of HF, many issues remain including residual risk despite therapy, understanding the pathophysiology and phenotypes of patients with HF and preserved ejection fraction, and the challenges related to integrating a large amount of disparate information available for risk stratification and management of these patients. Risk prediction algorithms based on artificial intelligence (AI) may have superior predictive ability compared to traditional methods in certain instances. AI algorithms can play a pivotal role in the evolution of HF care by facilitating clinical decision making to overcome various challenges such as allocation of treatment to patients who are at highest risk or are more likely to benefit from therapies, prediction of adverse outcomes, and early identification of patients with subclinical disease or worsening HF. With the ability to integrate and synthesize large amounts of data with multidimensional interactions, AI algorithms can supply information with which physicians can improve their ability to make timely and better decisions. In this review, we provide an overview of the AI algorithms that have been developed for establishing early diagnosis of HF, phenotyping HF with preserved ejection fraction, and stratifying HF disease severity. This review also discusses the challenges in clinical deployment of AI algorithms in HF, and the potential path forward for developing future novel learning-based algorithms to improve HF care.

Comparative value of dapagliflozin vs empagliflozin in patients with heart failure and preserved ejection fraction: A cost-effectiveness analysis

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) imposes a high disease burden on patients, primarily because of multimorbidity and frequent hospitalizations. Recently, the American College of Cardiology Expert Consensus recommended treating all patients diagnosed with HFpEF with a sodium-glucose cotransporter 2 inhibitor, such as dapagliflozin or empagliflozin, to reduce the risk of cardiovascular death and hospitalization and improve health status. However, managing HFpEF can be expensive, highlighting the need to assess therapeutic alternatives that can minimize health care costs while optimizing patient outcomes. OBJECTIVE: To compare the cost-effectiveness of dapagliflozin vs empagliflozin in managing patients with HFpEF from the US health care system perspective. METHODS: We developed a Markov model to simulate a cohort of patients with HFpEF (defined as having a left ventricular ejection fraction ≥ 50%) treated with dapagliflozin or empagliflozin. Transition probabilities between 3 health states (HFpEF, hospitalization for heart failure, and death), costs, and quality of life weight input variables were obtained from the literature. In the base-case analysis, we estimated total expected costs, quality-adjusted life-years (QALYs) gained, and the incremental cost-effectiveness ratio (ICER) over a lifetime horizon. All future expected costs and QALYs were discounted at the annual rate of 3%. We conducted sensitivity analyses to demonstrate the robustness of the cost-effectiveness model findings. RESULTS: Dapagliflozin had an incremental expected lifetime cost of $29,896 compared with empagliflozin, resulting in an ICER of $36,902/QALY. Value-based price threshold analysis suggested that for empagliflozin to be cost-effective, it would need a 29% discount on its annual price. In a probabilistic sensitivity analysis, dapagliflozin would be the most preferred cost-effective option at willingness-to-pay thresholds of $50,000/QALY about 72% of the time. CONCLUSIONS: This cost-effectiveness analysis showed that, from the US health care system perspective, dapagliflozin was more cost-effective than empagliflozin, and its uptake may enhance long-term outcomes in patients with HFpEF.

Torsional and strain dysfunction precede overt heart failure in a mouse model of dilated cardiomyopathy pathogenesis

Detailed assessments of whole heart mechanics are crucial for understanding the consequences of sarcomere perturbations that lead to cardiomyopathy in mice. Echocardiography offers an accessible and cost-effective method of obtaining metrics of cardiac function, but the most routine imaging and analysis protocols might not identify subtle mechanical deficiencies. This study aims to use advanced echocardiography imaging and analysis techniques to identify previously unappreciated mechanical deficiencies in a mouse model of dilated cardiomyopathy (DCM) before the onset of overt systolic heart failure (HF). Mice lacking muscle LIM protein expression (MLP-/-) were used to model DCM-linked HF pathogenesis. Left ventricular (LV) function of MLP-/- and wild-type (WT) controls were studied at 3, 6, and 10 wk of age using conventional and four-dimensional (4-D) echocardiography, followed by speckle-tracking analysis to assess torsional and strain mechanics. Mice were also studied with RNA-seq. Although 3-wk-old MLP-/- mice showed normal LV ejection fraction (LVEF), these mice displayed abnormal torsional and strain mechanics alongside reduced β-adrenergic reserve. Transcriptome analysis showed that these defects preceded most molecular markers of HF. However, these markers became upregulated as MLP-/- mice aged and developed overt systolic dysfunction. These findings indicate that subtle deficiencies in LV mechanics, undetected by LVEF and conventional molecular markers, may act as pathogenic stimuli in DCM-linked HF. Using these analyses in future studies will further help connect in vitro measurements of the sarcomere function to whole heart function.NEW & NOTEWORTHY A detailed study of how perturbations to sarcomere proteins impact whole heart mechanics in mouse models is a major yet challenging step in furthering our understanding of cardiovascular pathophysiology. This study uses advanced echocardiographic imaging and analysis techniques to reveal previously unappreciated subclinical whole heart mechanical defects in a mouse model of cardiomyopathy. In doing so, it offers an accessible set of measurements for future studies to use when connecting sarcomere and whole heart function.

The AHA/ACC/HFSA 2022 Heart Failure Guidelines: Changing the Focus to Heart Failure Prevention

The prevalence of heart failure (HF) in the United States (U.S.) is estimated at over 6 million adults, with the incidence continuing to increase. A large proportion of the U.S. population is also at risk of HF due to the high prevalence of established HF risk factors, such as hypertension, diabetes, and obesity. Many individuals have multiple risk factors, placing them at even higher risk. In addition, these risk factors disproportionately impact various racial and ethnic groups. Recognizing the rising health and economic burden of HF in the U.S., the 2022 American Heart Association / American College of Cardiology / Heart Failure Society of America (AHA/ACC/HFSA) Heart Failure Guideline placed a strong emphasis on prevention of HF. The purpose of this review is to highlight the role of both primary and secondary prevention in HF, as outlined by the recent guideline, and address the role of the preventive cardiology community in reducing the prevalence of HF in at-risk individuals.

Left Ventricular Assist Device: Review of Antimicrobial Prophylaxis Strategies and Incidence of Infections at a Tertiary Care Center 12-Year Experience

Background

Left ventricular assist devices (LVAD) have an associated infection rate of 13%-80% postimplant. An optimal strategy for surgical infection prophylaxis (SIP) at the time of implantation has not been well defined. We aimed to evaluate the different LVAD implantation antibiotic prophylaxis regimens as well as the incidence of LVAD infection at our institution.

Methods

We performed a single-center, retrospective study of patients who underwent LVAD implantation between February 2007 and June 2019. The primary outcome was the incidence of LVAD infection (LVADI), within 3 months and 1 year of placement, between patients who received expanded or narrow-spectrum regimens for SIP. We assessed outcomes using Kaplan-Meier, time-to-first event. We used a noninferiority analysis, which was established if the narrow-spectrum event rate was no more than 5% greater than the expanded-spectrum event rate.

Results

We included 399 patients, 305 (76.4%) patients received narrow-spectrum SIP, whereas the remaining 94 (23.6%) patients received the expanded-spectrum regimen. Statistical noninferiority of the narrow spectrum to the multiple drug regimen was demonstrated at both time points, and statistical superiority of the narrow-spectrum group across 12-month follow up was further evident (P = .037).

Conclusions

We report evidence supporting noninferiority, or even superiority, of the narrow-spectrum over expanded-spectrum antimicrobial prophylaxis strategy with respect to LVADI. These findings support data-driven antimicrobial prophylaxis strategies.

Culture, ethnicity, and socio-economic status as determinants of the management of patients with advanced heart failure who need palliative care: A clinical consensus statement from the Heart Failure Association (HFA) of the ESC, the ESC Patient Forum, and the European Association of Palliative Care

The delivery of effective healthcare entails the configuration and resourcing of health economies to address the burden of disease, including acute and chronic heart failure, that affects local populations. Increasing migration is leading to more multicultural and ethnically diverse societies worldwide, with migration research suggesting that minority populations are often subject to discrimination, socio-economic disadvantage, and inequity of access to optimal clinical support. Within these contexts, the provision of person-centred care requires medical and nursing staff to be aware of and become adept in navigating the nuances of cultural diversity, and how that can impact some individuals and families entrusted to their care. This paper will examine current evidence, provide practical guidance, and signpost professionals on developing cultural competence within the setting of patients with advanced heart failure who may benefit from palliative care.

A systematic comparison of machine learning algorithms to develop and validate prediction model to predict heart failure risk in middle-aged and elderly patients with periodontitis (NHANES 2009 to 2014)

Periodontitis is increasingly associated with heart failure, and the goal of this study was to develop and validate a prediction model based on machine learning algorithms for the risk of heart failure in middle-aged and elderly participants with periodontitis. We analyzed data from a total of 2876 participants with a history of periodontitis from the National Health and Nutrition Examination Survey (NHANES) 2009 to 2014, with a training set of 1980 subjects with periodontitis from the NHANES 2009 to 2012 and an external validation set of 896 subjects from the NHANES 2013 to 2014. The independent risk factors for heart failure were identified using univariate and multivariate logistic regression analysis. Machine learning algorithms such as logistic regression, k-nearest neighbor, support vector machine, random forest, gradient boosting machine, and multilayer perceptron were used on the training set to construct the models. The performance of the machine learning models was evaluated using 10-fold cross-validation on the training set and receiver operating characteristic curve (ROC) analysis in the validation set. Based on the results of univariate logistic regression and multivariate logistic regression, it was found that age, race, myocardial infarction, and diabetes mellitus status were independent predictors of the risk of heart failure in participants with periodontitis. Six machine learning models, including logistic regression, K-nearest neighbor, support vector machine, random forest, gradient boosting machine, and multilayer perceptron, were built on the training set, respectively. The area under the ROC for the 6 models was obtained using 10-fold cross-validation with values of 0 848, 0.936, 0.859, 0.889, 0.927, and 0.666, respectively. The areas under the ROC on the external validation set were 0.854, 0.949, 0.647, 0.933, 0.855, and 0.74, respectively. K-nearest neighbor model got the best prediction performance across all models. Out of 6 machine learning models, the K-nearest neighbor algorithm model performed the best. The prediction model offers early, individualized diagnosis and treatment plans and assists in identifying the risk of heart failure occurrence in middle-aged and elderly patients with periodontitis.

Recent Advances in Microbiota-Associated Metabolites in Heart Failure

Heart failure is a risk factor for adverse events such as sudden cardiac arrest, liver and kidney failure and death. The gut microbiota and its metabolites are directly linked to the pathogenesis of heart failure. As emerging studies have increased in the literature on the role of specific gut microbiota metabolites in heart failure development, this review highlights and summarizes the current evidence and underlying mechanisms associated with the pathogenesis of heart failure. We found that gut microbiota-derived metabolites such as short chain fatty acids, bile acids, branched-chain amino acids, tryptophan and indole derivatives as well as trimethylamine-derived metabolite, trimethylamine N-oxide, play critical roles in promoting heart failure through various mechanisms. Mainly, they modulate complex signaling pathways such as nuclear factor kappa-light-chain-enhancer of activated B cells, Bcl-2 interacting protein 3, NLR Family Pyrin Domain Containing inflammasome, and Protein kinase RNA-like endoplasmic reticulum kinase. We have also highlighted the beneficial role of other gut metabolites in heart failure and other cardiovascular and metabolic diseases.

Inhibition of the extracellular enzyme A disintegrin and metalloprotease with thrombospondin motif 4 prevents cardiac fibrosis and dysfunction

AIMS

Heart failure is a condition with high mortality rates, and there is a lack of therapies that directly target maladaptive changes in the extracellular matrix (ECM), such as fibrosis. We investigated whether the ECM enzyme known as A disintegrin and metalloprotease with thrombospondin motif (ADAMTS) 4 might serve as a therapeutic target in treatment of heart failure and cardiac fibrosis.

METHODS AND RESULTS

The effects of pharmacological ADAMTS4 inhibition on cardiac function and fibrosis were examined in rats exposed to cardiac pressure overload. Disease mechanisms affected by the treatment were identified based on changes in the myocardial transcriptome. Following aortic banding, rats receiving an ADAMTS inhibitor, with high inhibitory capacity for ADAMTS4, showed substantially better cardiac function than vehicle-treated rats, including ∼30% reduction in E/e' and left atrial diameter, indicating an improvement in diastolic function. ADAMTS inhibition also resulted in a marked reduction in myocardial collagen content and a down-regulation of transforming growth factor (TGF)-β target genes. The mechanism for the beneficial effects of ADAMTS inhibition was further studied in cultured human cardiac fibroblasts producing mature ECM. ADAMTS4 caused a 50% increase in the TGF-β levels in the medium. Simultaneously, ADAMTS4 elicited a not previously known cleavage of TGF-β-binding proteins, i.e. latent-binding protein of TGF-β and extra domain A-fibronectin. These effects were abolished by the ADAMTS inhibitor. In failing human hearts, we observed a marked increase in ADAMTS4 expression and cleavage activity.

CONCLUSION

Inhibition of ADAMTS4 improves cardiac function and reduces collagen accumulation in rats with cardiac pressure overload, possibly through a not previously known cleavage of molecules that control TGF-β availability. Targeting ADAMTS4 may serve as a novel strategy in heart failure treatment, in particular, in heart failure with fibrosis and diastolic dysfunction.

An Implantable Wireless System for Remote Hemodynamic Monitoring of Heart Failure Patients

This article presents an implantable wireless system for remote hemodynamic monitoring, which enables direct, continuous (24/7), and simultaneous measurement of pulmonary arterial pressure (PAP) and cross-sectional area (CSA) of the artery. The implantable device, which measures 3.2 mm × 2 mm × 10 mm, comprises a piezoresistive pressure sensor, an ASIC implemented in 180-nm CMOS, a piezoelectric ultrasound (US) transducer, and a nitinol anchoring loop. An energy-efficient pressure monitoring system, which employs duty-cycling and spinning excitation technique, achieves 0.44 mmHg resolution in a pressure range from -135 mmHg to +135 mmHg and consumes 1.1 nJ conversion energy. The artery diameter monitoring system utilizes the inductive characteristic of the implant's anchoring loop and achieves 0.24 mm resolution within a diameter range of 20 mm to 30 mm, four times higher than echocardiography lateral resolution. The wireless US power and data platform enables simultaneous power and data transfer employing a single piezoelectric transducer in the implant. The system is characterized with an 8.5 cm tissue phantom and achieves a US link efficiency of 1.8%. The uplink data is transmitted by using an ASK modulation scheme parallel to the power transfer and achieves a modulation index of 26%. The implantable system is tested in an in-vitro experimental setup, which emulates the arterial blood flow, and accurately detects fast pressure peaks for systolic and diastolic pressure changes at both 1.28 MHz and 1.6 MHz US powering frequencies, with corresponding uplink data rates of 40 kbps and 50 kbps.

Left Ventricular Gene Expression in Heart Failure With Preserved Ejection Fraction-Profibrotic and Proinflammatory Pathways and Genes

BACKGROUND

Heart failure with preserved ejection fraction (HFpEF) is increasingly prevalent and has few treatments. The molecular mechanisms and resultant signaling pathways that underlie the development of HFpEF are poorly defined. It has been proposed that activation of proinflammatory pathways plays a role in the development of cardiac fibrosis. The signature of gene expression (transcriptome) of previously validated left ventricular biopsies obtained from patients with HFpEF and matched referent controls allows for an unbiased assessment of proinflammatory and profibrotic signaling pathways and genes.

METHODS

Epicardial left ventricular biopsies from stringently selected HFpEF patients (HFpEF, n=16) and referent control patients (CTR, n=14) were obtained during aortocoronary bypass surgery. The subepicardial myocardium was flash-frozen to build a repository that was parallel-processed for RNA sequencing to allow for an unsupervised in-depth comparison of the left ventricular transcriptome.

RESULTS

The average patient age was 67±10 years. When compared with controls, patients with HFpEF were hypertensive with a higher body mass index (kg/m2: 30±5 versus 37±6; P<0.01) and elevated NT-proBNP levels (pg/mL: 155 [89-328] versus 1554 [888-2178]; P<0.001). The transcriptome analysis revealed differential expression of 477 genes many of which were involved in profibrotic pathways including extracellular matrix production and posttranslational modification but no proinflammatory signature.

CONCLUSIONS

The transcriptome analysis of left ventricular myocardial samples from patients with HFpEF confirms an overabundant extracellular matrix gene expression, the basis of myocardial fibrosis, without a signature of activated proinflammatory pathways or genes.

Association between the diagnostic classification of newly diagnosed coronary artery disease and future heart failure development

OBJECTIVE

The first clinical manifestation of coronary artery disease (CAD) varies widely from unheralded myocardial infarction (MI) to mild, incidentally detected disease. The primary objective of this study was to quantify the association between different initial CAD diagnostic classifications and future heart failure.

METHODS

This retrospective study incorporated the electronic health record of a single integrated health care system. Newly diagnosed CAD was classified into a mutually exclusive hierarchy as MI, CAD with coronary artery bypass graft (CABG), CAD with percutaneous coronary intervention, CAD only, unstable angina, and stable angina. An acute CAD presentation was defined when the diagnosis was associated with a hospital admission. New heart failure was identified after the CAD diagnosis.

RESULTS

Among 28 693 newly diagnosed CAD patients, initial presentation was acute in 47% and manifested as MI in 26%. Within 30 days of CAD diagnosis, MI [hazard ratio (HR) = 5.1; 95% confidence interval: 4.1-6.5] and unstable angina (3.2; 2.4-4.4) classifications were associated with the highest heart failure risk (compared to stable angina), as was acute presentation (2.9; 2.7-3.2). Among stable, heart failure-free CAD patients followed on average 7.4 years, initial MI (adjusted HR = 1.6; 1.4-1.7) and CAD with CABG (1.5; 1.2-1.8) were associated with higher long-term heart failure risk, but an initial acute presentation was not (1.0; 0.9-1.0).

CONCLUSION

Nearly 50% of initial CAD diagnoses are associated with hospitalization, and these patients are at high risk of early heart failure. Among stable CAD patients, MI remained the diagnostic classification associated with the highest long-term heart failure risk, however, having an initial acute CAD presentation was not associated with long-term heart failure.

Association Between End-Stage Liver Disease and Incident Heart Failure in an Integrated Health System

BACKGROUND

End-stage liver disease (ESLD) and heart failure (HF) often coexist and are associated with significant morbidity and mortality. However, the true incidence of HF among patients with ESLD remains understudied.

OBJECTIVE

This study aims to evaluate the association between ESLD and incident HF in a real-world clinical cohort.

DESIGN AND PARTICIPANTS

A retrospective electronic health records database analysis of individuals with ESLD and frequency-matched controls without ESLD in a large integrated health system.

MAIN MEASURES

The primary outcome was incident HF, which was defined by the International Classification of Disease codes and manually adjudicated by physician reviewers. The Kaplan-Meier method was used to estimate the cumulative incidence of HF. Multivariate proportional hazards models adjusted for shared metabolic factors (diabetes, hypertension, chronic kidney disease, coronary heart disease, body mass index) were used to compare the risk of HF in patients with and without ESLD.

KEY RESULTS

Of 5004 patients (2502 with ESLD and 2502 without ESLD), the median (Q1-Q3) age was 57.0 (55.0-65.0) years, 59% were male, and 18% had diabetes. Over a median (Q1-Q3) follow-up of 2.3 (0.6-6.0) years, 121 incident HF cases occurred. Risk for incident HF was significantly higher for patients with ESLD compared with the non-ESLD group (adjusted HR: 4.67; 95% CI: 2.82-7.75; p < 0.001), with the majority of the ESLD group (70.7%) having HF with preserved ejection fraction (ejection fraction ≥ 50%).

CONCLUSION

ESLD was significantly associated with a higher risk of incident HF, independent of shared metabolic risk factors, with the predominant phenotype being HF with preserved ejection fraction.

Mesenchymal Stem Cell Therapy for a Better Prognosis of Heart Failure: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Mesenchymal stem cell (MSC) therapy is a frequently used treatment option for achieving a better prognosis in patients with heart failure (HF). However, due to reported adverse effects, patients are often hesitant to consider this treatment. Consequently, the aim of this systemic review and meta-analysis is to further investigate the effects of MSCs on survival outcomes, hospital readmissions, and left ventricular ejection fraction (LVEF) in individuals with pre-existing HF. We systematically searched PubMed, Web of Science, Embase, and Cochrane Library to review studies published up until July 16, 2023. Risk ratios were generated using the extracted data for all the outcomes except LVEF. The mean difference was generated for LVEF. Sensitivity analysis was performed to investigate heterogeneity, and the risk of bias tool was used to assess the quality of the included studies. Fourteen randomized controlled trials were included in the meta-analysis. Pooled results revealed that the MSC therapy group did not significantly affect the outcomes of cardiovascular death, rehospitalization rate, myocardial infarction, recurrence of HF, and total death when compared to a control group. However, MSC therapy was significantly associated with an increased LVEF (RR = 3.35; 95% CI: 0.79-5.72; p = 0.010; I2 = 95%). Upon sensitivity analysis, MSC therapy was significantly associated with a decreased hospitalization rate (RR = 0.46; 95% CI: 0.34-0.64; p < 0.00001; I2 = 0%). MSC transplantation results in a significantly improved LVEF and rehospitalization rate.

Classification of Heart Failure Events by Severity: Insights From the VICTORIA Trial

BACKGROUND

Hospitalization due to heart failure (HFH) is a major source of morbidity, consumes significant economic resources and is a key endpoint in HF clinical trials. HFH events vary in severity and implications, but they are typically considered equivalent when analyzing clinical trial outcomes.

OBJECTIVES

We aimed to evaluate the frequency and severity of HF events, assess treatment effects and describe differences in outcomes by type of HF event in VICTORIA (Vericiguat Global Study in Subjects with Heart Failure with Reduced Ejection Fraction).

METHODS

VICTORIA compared vericiguat with placebo in patients with HF with reduced ejection fraction (< 45%) and a recent worsening HF event. All HFHs were prospectively adjudicated by an independent clinical events committee (CEC) whose members were blinded to treatment assignment. We evaluated the frequency and clinical impact of HF events by severity, categorized by highest intensity of HF treatment (urgent outpatient visit or hospitalization treated with oral diuretics, intravenous diuretics, intravenous vasodilators, intravenous inotropes, or mechanical support) and treatment effect by event categories.

RESULTS

In VICTORIA, 2948 HF events occurred in 5050 enrolled patients. Overall total CEC HF events for vericiguat vs placebo were 43.9 vs 49.1 events/100 patient-years (P = 0.01). Hospitalization for intravenous diuretics was the most common type of HFH event (54%). HF event types differed markedly in their clinical implications for both in-hospital and post-discharge events. We observed no difference in the distribution of HF events between randomized treatment groups (P = 0.78).

CONCLUSION

HF events in large global trials vary significantly in severity and clinical implications, which may have implications for more nuanced trial design and interpretation.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov (NCT02861534).

The clinical burden of newly diagnosed Heart failure among patients with Reduced, mildly Reduced, and preserved ejection fraction

Background

Contemporary analyses of the distribution of heart failure (HF) patients by groups of ejection fraction are not available or are limited to hospitalized patients. Our objective was to quantify the per-person and system level clinical burden of a broad population of HF patients.

Methods

We studied 16,516 patients with a new HF diagnosis recorded in the electronic medical record of a U.S. integrated delivery system between 2005 and 2017. We used the diagnosis date as the index date and the nearest echocardiogram result to classify patients as HFrEF (n = 2,430), HFmrEF (n = 1,646), HFpEF (n = 12,440) and followed them through 2019 for major clinical outcomes (all-cause mortality, HF hospitalizations [HHF], all-cause hospitalizations, incident chronic kidney disease [CKD], progression of eGFR category, progression of CKD, incident type 2 diabetes [T2D], and progression to insulin use). We compared age and sex adjusted incidence rates and rate ratios of the outcomes between the HF types.

Results

Incidence rates for most outcomes were significantly higher among patients with HFrEF compared with HFpEF. HHF was 59 % greater, mortality 31 % greater, and CKD incidence 55 % greater, (p < 0.001 for all comparisons). However, the larger size of the HFpEF group generated 4.7-6.7 times as many total outcomes.

Conclusions

Regardless of subtype, the presence of HF was associated with poor clinical outcomes. Incidence rates were higher for HFrEF than HFpEF, but as the latter represented 75% of the study population, HFpEF caused a greater overall burden on the health care system, reflecting the high unmet need of target therapies for HFpEF.

Effect of Sotagliflozin on Early Mortality and Heart Failure-Related Events: A Post Hoc Analysis of SOLOIST-WHF

BACKGROUND

Approximately 25% of patients admitted to hospitals for worsening heart failure (WHF) are readmitted within 30 days.

OBJECTIVES

The authors conducted a post hoc analysis of the SOLOIST-WHF (Effect of Sotagliflozin on Cardiovascular Events in Patients With Type 2 Diabetes Post-WHF) trial to evaluate the efficacy of sotagliflozin versus placebo to decrease mortality and HF-related events among patients who began study treatment on or before discharge from their index hospitalization.

METHODS

The main endpoint of interest was cardiovascular death or HF-related event (HF hospitalization or urgent care visit) occurring within 90 and 30 days after discharge for the index WHF hospitalization. Treatment comparisons were by proportional hazards models, generating HRs, 95% CIs, and P values.

RESULTS

Of 1,222 randomized patients, 596 received study drug on or before their date of discharge. Sotagliflozin reduced the main endpoint at 90 days after discharge (HR: 0.54 [95% CI: 0.35-0.82]; P = 0.004) and at 30 days (HR: 0.49 [95% CI: 0.27-0.91]; P = 0.023) and all-cause mortality at 90 days (HR: 0.39 [95% CI: 0.17-0.88]; P = 0.024). In subgroup analyses, sotagliflozin reduced the 90-day main endpoint regardless of sex, age, estimated glomerular filtration rate, N-terminal pro-B-type natriuretic peptide, left ventricular ejection fraction, or mineralocorticoid receptor agonist use. Sotagliflozin was well-tolerated but with slightly higher rates of diarrhea and volume-related events than placebo.

CONCLUSIONS

Starting sotagliflozin before discharge in patients with type 2 diabetes hospitalized for WHF significantly decreased cardiovascular deaths and HF events through 30 and 90 days after discharge, emphasizing the importance of beginning sodium glucose cotransporter treatment before discharge.

Risk prediction models for mortality and readmission in patients with acute heart failure: A protocol for systematic review, critical appraisal, and meta-analysis

INTRODUCTION

A considerable number of risk models, which predict outcomes in mortality and readmission rates, have been developed for patients with acute heart failure (AHF) to help stratify patients by risk level, improve decision making, and save medical resources. However, some models exist in a clinically useful manner such as risk scores or online calculators, while others are not, providing only limited information that prevents clinicians and patients from using them. The reported performance of some models varied greatly when predicting at multiple time points and being validated in different cohorts, which causes model users uncertainty about the predictive accuracy of these models. The foregoing leads to users facing difficulties in the selection of prediction models, and even sometimes being reluctant to utilize models. Therefore, a systematic review to assess the performance at multiple time points, applicability, and clinical impact of extant prediction models for mortality and readmission in AHF patients is essential. It may facilitate the selection of models for clinical implementation.

METHOD AND ANALYSIS

Four databases will be searched from their inception onwards. Multivariable prognostic models for mortality and/or readmission in AHF patients will be eligible for review. Characteristics and the clinical impact of included models will be summarized qualitatively and quantitatively, and models with clinical utility will be compared with those without. Predictive performance measures of included models with an analogous clinical outcome appraised repeatedly, will be compared and synthesized by a meta-analysis. Meta-analysis of validation studies for a common prediction model at the same time point will also be performed. We will also provide an overview of critical appraisal of the risk of bias, applicability, and reporting transparency of included studies using the PROBAST tool and TRIPOD statement.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration number CRD42021256416.

Soft robotics-enabled large animal model of HFpEF hemodynamics for device testing

Heart failure with preserved ejection fraction (HFpEF) is a major challenge in cardiovascular medicine, accounting for approximately 50% of all cases of heart failure. Due to the lack of effective therapies for this condition, the mortality associated with HFpEF remains higher than that of most cancers. Despite the ongoing efforts, no medical device has yet received FDA approval. This is largely due to the lack of an in vivo model of the HFpEF hemodynamics, resulting in the inability to evaluate device effectiveness in vivo prior to clinical trials. Here, we describe the development of a highly tunable porcine model of HFpEF hemodynamics using implantable soft robotic sleeves, where controlled actuation of a left ventricular and an aortic sleeve can recapitulate changes in ventricular compliance and afterload associated with a broad spectrum of HFpEF hemodynamic phenotypes. We demonstrate the feasibility of the proposed model in preclinical testing by evaluating the hemodynamic response of the model post-implantation of an interatrial shunt device, which was found to be consistent with findings from in silico studies and clinical trials. This work addresses several of the limitations associated with previous models of HFpEF, such as their limited hemodynamic fidelity, elevated costs, lengthy development time, and low throughput. By showcasing exceptional versatility and tunability, the proposed platform has the potential to revolutionize the current approach for HFpEF device development and selection, with the goal of improving the quality of life for the 32 million people affected by HFpEF worldwide.

Aging Model for Analyzing Drug-Induced Proarrhythmia Risks Using Cardiomyocytes Differentiated from Progeria-Patient-Derived Induced Pluripotent Stem Cells

Among various cardiac safety concerns, proarrhythmia risks, including QT prolongation leading to Torsade de Pointes, is one of major cause for drugs being withdrawn (~45% 1975-2007). Preclinical study requires the evaluation of proarrhythmia using in silico, in vitro, and/or animal models. Considering that the primary consumers of prescription drugs are elderly patients, applications of "aging-in-a-dish" models would be appropriate for screening proarrhythmia risks. However, acquiring such models, including cardiomyocytes (CMs) derived from induced pluripotent stem cells (iPSCs), presents extensive challenges. We proposed the hypothesis that CMs differentiated from iPSCs derived from Hutchinson-Gilford progeria syndrome (HGPS, progeria) patients, an ultra-rare premature aging syndrome, can mimic the phenotypes of aging CMs. Our objective, therefore, was to examine this hypothesis by analyzing the response of 11 reference compounds utilized by the Food and Drug Administration (FDA)'s Comprehensive in vitro Proarrhythmia Assay (CiPA) using progeria and control CMs. As a sensitive surrogate marker of modulating cardiac excitation-contraction coupling, we evaluated drug-induced changes in calcium transient (CaT). We observed that the 80% CaT peak duration in the progeria CMs (0.98 ± 0.04 s) was significantly longer than that of control CMs (0.70 ± 0.05 s). Furthermore, when the progeria CMs were subjected to four doses of 11 compounds from low-, intermediate-, and high-risk categories, they demonstrated greater arrhythmia susceptibility than control cells, as shown through six-parameter CaT profile analyses. We also employed the regression analysis established by CiPA to classify the 11 reference compounds and compared proarrhythmia susceptibilities between the progeria and control CMs. This analysis revealed a greater proarrhythmia susceptibility in the progeria CMs compared to the control CMs. Interestingly, in both CMs, the compounds categorized as low risk did not exceed the safety risk threshold of 0.8. In conclusion, our study demonstrates increased proarrhythmia sensitivity in progeria CMs when tested with reference compounds. Future studies are needed to analyze underlying mechanisms and further validate our findings using a larger array of reference compounds.

20-year trends in multimorbidity by race/ethnicity among hospitalized patient populations in the United States

BACKGROUND

The challenges presented by multimorbidity continue to rise in the United States. Little is known about how the relative contribution of individual chronic conditions to multimorbidity has changed over time, and how this varies by race/ethnicity. The objective of this study was to describe trends in multimorbidity by race/ethnicity, as well as to determine the differential contribution of individual chronic conditions to multimorbidity in hospitalized populations over a 20-year period within the United States.

METHODS

This is a serial cross-sectional study using the Nationwide Inpatient Sample (NIS) from 1993 to 2012. We identified all hospitalized patients aged ≥ 18 years old with available data on race/ethnicity. Multimorbidity was defined as the presence of 3 or more conditions based on the Elixhauser comorbidity index. The relative change in the proportion of hospitalized patients with multimorbidity, overall and by race/ethnicity (Black, White, Hispanic, Asian/Pacific Islander, Native American) were tabulated and presented graphically. Population attributable fractions were estimated from modified Poisson regression models adjusted for sex, age, and insurance type. These fractions were used to describe the relative contribution of individual chronic conditions to multimorbidity over time and across racial/ethnic groups.

RESULTS

There were 123,613,970 hospitalizations captured within the NIS between 1993 and 2012. The prevalence of multimorbidity increased in all race/ethnic groups over the 20-year period, most notably among White, Black, and Native American populations (+ 29.4%, + 29.7%, and + 32.0%, respectively). In both 1993 and 2012, Black hospitalized patients had a higher prevalence of multimorbidity (25.1% and 54.8%, respectively) compared to all other race/ethnic groups. Native American populations exhibited the largest overall increase in multimorbidity (+ 32.0%). Furthermore, the contribution of metabolic diseases to multimorbidity increased, particularly among Hispanic patients who had the highest population attributable fraction values for diabetes without complications (15.0%), diabetes with complications (5.1%), and obesity (5.8%).

CONCLUSIONS

From 1993 to 2012, the secular increases in the prevalence of multimorbidity as well as changes in the differential contribution of individual chronic conditions has varied substantially by race/ethnicity. These findings further elucidate the racial/ethnic gaps prevalent in multimorbidity within the United States.

PRIOR PRESENTATIONS

Preliminary finding of this study were presented at the Society of General Internal Medicine (SGIM) Annual Conference, Washington, DC, April 21, 2017.

Racial Differences in Quality of Life in Patients With Heart Failure Treated With Sodium-Glucose Cotransporter 2 Inhibitors: A Patient-Level Meta-Analysis of the CHIEF-HF, DEFINE-HF, and PRESERVED-HF Trials

BACKGROUND

Health status outcomes, including symptoms, function, and quality of life, are worse for Black compared with White patients with heart failure. Sodium-glucose cotransporter 2 inhibitors (SGLT2is) reduce cardiovascular mortality and improve health status in patients with heart failure, but whether the health status benefit of SGLT2is is similar across races is not established. The objective of this study was to compare the treatment effect of SGLT2is (versus placebo) on health status for Black compared with White patients with heart failure.

METHODS

We combined patient-level data from 3 randomized clinical trials of SGLT2is: DEFINE-HF (Dapagliflozin Effect on Symptoms and Biomarkers in Patients With Heart Failure; n=263), PRESERVED-HF (Dapagliflozin in Preserved Ejection Fraction Heart Failure; n=324), and CHIEF-HF (A Study on Impact of Canagliflozin on Health Status, Quality of Life, and Functional Status in Heart Failure; n=448). These 3 United States-based trials enrolled a substantial proportion of Black patients, and each used the Kansas City Cardiomyopathy Questionnaire (KCCQ) to measure health status at baseline and after 12 weeks of treatment. Among 1035 total participants, selecting self-identified Black and White patients with complete information yielded a final analytic cohort of 935 patients. The primary endpoint was KCCQ Clinical Summary score. Twelve-week change in KCCQ with SGLT2is versus placebo was compared between Black and White patients by testing the interaction between race and treatment using multivariable linear regression models adjusted for trial, baseline KCCQ (as a restricted cubic spline), race, and treatment. The data that support the findings of this study are available from the corresponding author upon reasonable request.

RESULTS

Among 935 participants, 236 (25%) self-identified as Black, and 469 (50.2%) were treated with an SGLT2i. Treatment with an SGLT2i, compared with placebo, resulted in KCCQ Clinical Summary score improvements at 12 weeks of +4.0 points (95% CI, 1.7-6.3; P=0.0007) in White patients and +4.7 points (95% CI, 0.7-8.7; P=0.02) in Black patients, with no significant interaction by race and treatment (P=0.76). Other KCCQ scales showed similar results.

CONCLUSIONS

Treatment with an SGLT2i resulted in consistent and significant improvements in health status for both Black and White patients with heart failure.

Health-related quality of life and its associated factors among outpatients with heart failure: a cross-sectional study

BACKGROUND

Heart Failure (HF) is a chronic disease associated with life-limiting symptoms that could negatively impact patients' health-related quality of life (HRQOL). This study aimed to evaluate HRQOL and explore the factors associated with poor HRQOL among patients with HF in Jordan.

METHODS

This cross-sectional study used the validated Arabic version of the Minnesota Living with Heart Failure Questionnaire to assess HRQOL in outpatients with HF visiting cardiology clinics at two public hospitals in Jordan. Variables were collected from medical records and custom-designed questionnaires, including socio-demographics, biomedical variables, and disease and medication characteristics. Ordinal regression analysis was used to explore variables associated with poor HRQOL among HF patients.

RESULTS

Ordinal regression analysis showed that the number of HF medications (P < 0.05) and not taking a loop diuretic (P < 0.05) significantly increased HRQOL, while the number of other chronic diseases (P < 0.05), stage III/IV of HF (P < 0.01), low monthly income (P < 0.05), and being unsatisfied with the prescribed medications (P < 0.05) significantly decreased HRQOL of HF patients.

CONCLUSIONS

Although the current study demonstrated low HRQOL among patients with HF in Jordan, HRQOL has a considerable opportunity for improvement in those patients. Variables identified in the present study, including low monthly income, higher New York Heart Association (NYHA) classes, a higher number of comorbidities, and/or taking a loop diuretic, should be considered in future intervention programs, aiming to improve HRQOL in patients with HF.

Depression among Patients with an Implanted Left Ventricular Assist Device: Uncovering Pathophysiological Mechanisms and Implications for Patient Care

Depression is a common and devastating mental illness associated with increased morbidity and mortality, partially due to elevated rates of suicidal attempts and death. Select patients with end-stage heart failure on a waiting-list for a donor heart undergo left ventricular assist device (LVAD) implantation. The LVAD provides a circulatory flow of oxygenated blood to the body, mimicking heart functionality by operating on a mechanical technique. LVAD improves functional capacity and survivability among patients with end-stage heart failure. However, accumulating data suggests that LVAD recipients suffer from an increased incidence of depression and suicide attempts. There is scarce knowledge regarding the pathological mechanism and appropriate treatment approach for depressed LVAD patients. This article summarizes the current evidence on the association between LVAD implantation and occurrence of depression, suggesting possible pathological mechanisms underlying the device-associated depression and reviewing the current treatment strategies. The summarized data underscores the need for a rigorous pre-(LVAD)-implantation psychiatric evaluation, continued post-implantation mental health assessment, and administration of antidepressant treatment as necessary.

Financial burden of heart failure in Malaysia: A perspective from the public healthcare system

BACKGROUND

Estimating and evaluating the economic burden of HF and its impact on the public healthcare system is necessary for devising improved treatment plans in the future. The present study aimed to determine the economic impact of HF on the public healthcare system.

METHOD

The annual cost of HF per patient was estimated using unweighted average and inverse probability weighting (IPW). Unweight average estimated the annual cost by considering all observed cases regardless of the availability of all the cost data, while IPW calculated the cost by weighting against inverse probability. The economic burden of HF was estimated for different HF phenotypes and age categories at the population level from the public healthcare system perspective.

RESULTS

The mean (standard deviation) annual costs per patient calculated using unweighted average and IPW were USD 5,123 (USD 3,262) and USD 5,217 (USD 3,317), respectively. The cost of HF estimated using two different approaches did not differ significantly (p = 0.865). The estimated cost burden of HF in Malaysia was USD 481.9 million (range: USD 31.7 million- 1,213.2 million) per year, which accounts for 1.05% (range: 0.07%-2.66%) of total health expenditure in 2021. The cost of managing patients with heart failure with reduced ejection fraction (HFrEF) accounted for 61.1% of the total financial burden of HF in Malaysia. The annual cost burden increased from USD 2.8 million for patients aged 20-29 to USD 142.1 million for those aged 60-69. The cost of managing HF in patients aged 50-79 years contributed 74.1% of the total financial burden of HF in Malaysia.

CONCLUSION

A large portion of the financial burden of HF in Malaysia is driven by inpatient costs and HFrEF patients. Long-term survival of HF patients leads to an increase in the prevalence of HF, inevitably increasing the financial burden of HF.

Cost-Effectiveness of Dapagliflozin vs Empagliflozin for Treating Heart Failure With Reduced Ejection Fraction in the United States

PURPOSE

Evidence suggests that adding dapagliflozin to the prior standard of care is cost-effective compared with the standard of care alone. The latest guideline by the American Heart Association/American College of Cardiology/Heart Failure Society of America now recommends the use of sodium-glucose cotransporter 2 (SGLT2) inhibitors for patients with heart failure with reduced ejection fraction (HFrEF). However, the relative cost-effectiveness of different SGLT2 inhibitors, including dapagliflozin and empagliflozin, has not been fully characterized. Therefore, we conducted a cost-effectiveness analysis to compare dapagliflozin and empagliflozin in patients with HFrEF from the US health care perspective.

METHODS

To compare the cost-effectiveness of dapagliflozin and empagliflozin in treating HFrEF, we used a state-transition Markov model. This model was used to estimate the expected lifetime costs, quality-adjusted life years (QALYs), and the incremental cost-effectiveness ratio (ICER) for both medications. The model incorporated patients who were 65 years of age at entry and simulated their health outcomes over a lifetime horizon. The perspective of the analysis was based on the US health care system. To determine the health state transition probabilities, we used a network meta-analysis. All future costs and QALYs were discounted at an annual rate of 3%, and the costs were presented in 2022 US dollars.

FINDINGS

The base case analysis found that the incremental expected lifetime cost of treating patients with dapagliflozin vs empagliflozin was $37,684, resulting in an ICER of $44,763 per QALY. A price threshold analysis indicated that for empagliflozin to be the most cost-effective SGLT2 inhibitor at a willingness-to-pay threshold of $50,000 per QALY, it may require a 12% discount on its current annual prices.

IMPLICATIONS

The findings of this study indicate that dapagliflozin may offer greater lifetime economic value when compared with empagliflozin. Given that the current clinical practice guideline does not recommend one SGLT2 inhibitor over the other, it is essential to implement scalable strategies to ensure affordable access to both medications. By doing so, patients and health care practitioners can make informed decisions about their treatment options without being constrained by financial barriers.

Lipoprotein(a), family history of cardiovascular disease, and incidence of heart failure

Lipoprotein(a) (Lp(a)) is a largely genetically determined biomarker for cardiovascular disease (CVD), while its potential interplay with family history (FHx) of CVD, a measure of both genetic and environmental exposures, remains unclear. We examined the associations of Lp(a) in terms of circulating concentration or polygenetic risk score (PRS), and FHx of CVD with risk of incident heart failure (HF). Included were 299,158 adults from the UK Biobank without known HF and CVD at baseline. Hazards ratios (HRs) and 95% Cls were estimated by Cox regression models adjusted for traditional risk factors defined by the Atherosclerosis Risk in Communities study HF risk score. During the 11.8-year follow-up, 5,502 incidents of HF occurred. Higher levels of circulating Lp(a), Lp(a) PRS, and positive FHx of CVD were associated with higher risks of HF. Compared with individuals who had lower circulating Lp(a) and no FHx, HRs (95% CIs) of HF were 1.36 (1.25, 1.49), 1.31 (1.19, 1.43), and 1.42 (1.22, 1.67) for those with higher Lp(a) and a positive history of CVD for all family members, parents, and siblings, respectively; similar results were observed by using Lp(a) PRS. The risk estimates for HF associated with elevated Lp(a) and positive FHx were attenuated after excluding those with incident myocardial infarction (MI) during follow-up. Lp(a) and FHx of CVD were independent risk factors for incident HF, and the highest risk of HF was observed among individuals with both risk factors. The association may be partly mediated by myocardial infarction.

Treating Iron Deficiency (ID) Anemia in Heart Failure (HF) Patients with IV Iron: A Meta-Analysis

Findings on the effects of iron on heart failure (HF) hospitalizations and mortality among patients with iron deficiency (ID) and HF remain conflicting across different studies. We performed a meta-analysis of clinical trials assessing the clinical, hematic and cardiovascular benefits of treating ID in HF patients. We completed a systematic search for studies comparing IV iron to placebo in HF patients with ID. The primary outcomes were rates of HF hospitalization and all-cause mortality. Secondary outcomes included change in hematic values, New York Heart Association (NYHA) class and ejection fraction. We applied a random-effects model with planned sensitivity analyses of studies with skewed effect sizes. Nine studies were included with a total of 2,261 patients. Analysis revealed that treatment of HF patients with IV iron replacement significantly reduced the odds of HF hospitalization (odds ratio (OR): 0.44; 95% confidence interval (CI): 0.24 to 0.78; p=0.005, I2=67%),) but did not significantly impact all-cause mortality compared to placebo (OR: 0.89; 95%, CI: 0.67 to 1.19; p=0.44, I2: 0%). Analysis showed that IV iron treatment group had significantly higher serum ferritin, transferrin saturation and hemoglobin (Hb) levels. They also had lower NYHA class -1.90 (95% CI (-2.91 to -0.89); p<0.001, I2:89%) with higher ejection fraction 0.50 (95% CI (0.09 to 0.90) p=0.016, I2:86%). Treatment with IV iron in HF patients with ID is associated with a significant reduction of HF hospitalization but no effects on all-cause mortality. There were also significant increases in hematic values and ejection fraction with a reduction in NYHA class.

Prognostic Role of Metabolic Exercise Testing in Heart Failure

Heart failure is a clinical syndrome with significant heterogeneity in presentation and severity. Serial risk-stratification and prognostication can guide management decisions, particularly in advanced heart failure, when progression toward advanced therapies or end-of-life care is warranted. Each currently utilized prognostic marker carries its own set of challenges in acquisition, reproducibility, accuracy, and significance. Left ventricular ejection fraction is foundational for heart failure syndrome classification after clinical diagnosis and remains the primary parameter for inclusion in most clinical trials; however, it does not consistently correlate with symptoms and functional capacity, which are also independently prognostic in this patient population. Utilizing the left ventricular ejection fraction as the sole basis of prognostication provides an incomplete characterization of this condition and is prone to misguide medical decision-making when used in isolation. In this review article, we survey and exposit the important role of metabolic exercise testing across the heart failure spectrum, as a complementary diagnostic and prognostic modality. Metabolic exercise testing, also known as cardiopulmonary exercise testing, provides a comprehensive evaluation of the multisystem (i.e., neurological, respiratory, circulatory, and musculoskeletal) response to exercise performance. These differential responses can help identify the predominant contributors to exercise intolerance and exercise symptoms. Additionally, the aerobic exercise capacity (i.e., oxygen consumption during exercise) is directly correlated with overall life expectancy and prognosis in many disease states. Specifically in heart failure patients, metabolic exercise testing provides an accurate, objective, and reproducible assessment of the overall circulatory sufficiency and circulatory reserve during physical stress, being able to isolate the concurrent chronotropic and stroke volume responses for a reliable depiction of the circulatory flow rate in real time.

Prognostic Value of Plasma Catestatin Concentration in Patients with Heart Failure with Reduced Ejection Fraction in Two-Year Follow-Up

The primary objective of the study was to evaluate the prognostic value of measuring plasma catestatin (CST) concentration in patients with heart failure with reduced ejection fraction (HFrEF) as a predictor of unplanned hospitalization and all-cause death independently and as a composite endpoint at 2-year follow-up. The study group includes 122 hospitalized Caucasian patients in NYHA classes II to IV. Patients who died during the 24-month follow-up period (n = 44; 36%) were significantly older on the day of enrollment, were more likely to be in a higher NYHA class, had lower TAPSE, hemoglobin concentration, hematocrit, and platelet count, higher concentrations of CST, NT-proBNP, troponin T, creatinine, and glucose, and higher red cell distribution width value and leukocyte and neutrocyte count than patients who survived the follow-up period. Plasma catestatin concentration increased with NYHA class (R = 0.58; p <0.001) and correlated significantly with blood NT-proBNP concentration (R = 0.44; p <0.001). We showed that higher plasma catestatin concentration increased the risk of all-cause death by more than five times. Plasma CST concentration is a valuable prognostic parameter in predicting death from all causes and unplanned hospitalization in patients with HFrEF.

Association between neutrophil percentage-to-albumin ratio (NPAR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and long-term mortality in community-dwelling adults with heart failure: evidence from US NHANES 2005-2016

BACKGROUND

Heart failure (HF) continues to be the major cause of hospitalizations. Despite numerous significant therapeutic progress, the mortality rate of HF is still high. This longitudianl cohort study aimed to investigate the associations between hematologic inflammatory indices neutrophil percentage-to-albumin ratio (NPAR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and all-cause mortality in community-dwelling adults with HF.

METHODS

Adults aged 20 and older with HF in the US National Health and Nutrition Examination Survey (NHANES) database 2005-2016 were included and were followed through the end of 2019. Univariate and multivariable Cox regression analyses were performed to determine the associations between the three biomarkers and all-cause mortality. The receiver operating characteristics (ROC) curve analysis was conducted to evaluate their predictive performance on mortality.

RESULTS

A total of 1,207 subjects with HF were included, representing a population of 4,606,246 adults in the US. The median follow-up duration was 66.0 months. After adjustment, the highest quartile of NPAR (aHR = 1.81, 95%CI: 1.35, 2.43) and NLR (aHR = 1.59, 95%CI: 1.18, 2.15) were significantly associated with increased mortality risk compared to the lowest quartile during a median follow-up duration of 66.0 months. Elevated PLR was not associated with mortality risk. The area under the ROC curve (AUC) of NPAR, NLR, and PLR in predicting deaths were 0.61 (95%CI: 0.58, 0.65), 0.64 (95%CI: 0.6, 0.67), and 0.58 (95%CI:0.55, 0.61), respectively.

CONCLUSIONS

In conclusion, elevated NPAR and NLR but not PLR are independently associated with increased all-cause mortality among community-dwelling individuals with HF. However, the predictive performance of NPAR and NLR alone on mortality was low.

Phosphoproteomic and proteomic profiling in post-infarction chronic heart failure

Background: Post-infarction chronic heart failure is the most common type of heart failure. Patients with chronic heart failure show elevated morbidity and mortality with limited evidence-based therapies. Phosphoproteomic and proteomic analysis can provide insights regarding molecular mechanisms underlying post-infarction chronic heart failure and explore new therapeutic approaches. Methods and results: Global quantitative phosphoproteomic and proteomic analysis of left ventricular tissues from post-infarction chronic heart failure rats were performed. A total of 33 differentially expressed phosphorylated proteins (DPPs) and 129 differentially expressed proteins were identified. Bioinformatic analysis indicated that DPPs were enriched mostly in nucleocytoplasmic transport and mRNA surveillance pathway. Bclaf1 Ser658 was identified after construction of Protein-Protein Interaction Network and intersection with Thanatos Apoptosis Database. Predicted Upstream Kinases of DPPs based on kinase-substrate enrichment analysis (KSEA) app showed 13 kinases enhanced in heart failure. Proteomic analysis showed marked changes in protein expression related to cardiac contractility and metabolism. Conclusion: The present study marked phosphoproteomics and proteomics changes in post-infarction chronic heart failure. Bclaf1 Ser658 might play a critical role in apoptosis in heart failure. PRKAA1, PRKACA, and PAK1 might serve as potential therapeutic targets for post-infarction chronic heart failure.

HFrEF subphenotypes based on 4210 repeatedly measured circulating proteins are driven by different biological mechanisms

BACKGROUND

HFrEF is a heterogenous condition with high mortality. We used serial assessments of 4210 circulating proteins to identify distinct novel protein-based HFrEF subphenotypes and to investigate underlying dynamic biological mechanisms. Herewith we aimed to gain pathophysiological insights and fuel opportunities for personalised treatment.

METHODS

In 382 patients, we performed trimonthly blood sampling during a median follow-up of 2.1 [IQR:1.1-2.6] years. We selected all baseline samples and two samples closest to the primary endpoint (PEP; composite of cardiovascular mortality, HF hospitalization, LVAD implantation, and heart transplantation) or censoring, and applied an aptamer-based multiplex proteomic approach. Using unsupervised machine learning methods, we derived clusters from 4210 repeatedly measured proteomic biomarkers. Sets of proteins that drove cluster allocation were analysed via an enrichment analysis. Differences in clinical characteristics and PEP occurrence were evaluated.

FINDINGS

We identified four subphenotypes with different protein profiles, prognosis and clinical characteristics, including age (median [IQR] for subphenotypes 1-4, respectively:70 [64, 76], 68 [60, 79], 57 [47, 65], 59 [56, 66]years), EF (30 [26, 36], 26 [20, 38], 26 [22, 32], 33 [28, 37]%), and chronic renal failure (45%, 65%, 36%, 37%). Subphenotype allocation was driven by subsets of proteins associated with various biological functions, such as oxidative stress, inflammation and extracellular matrix organisation. Clinical characteristics of the subphenotypes were aligned with these associations. Subphenotypes 2 and 3 had the worst prognosis compared to subphenotype 1 (adjHR (95%CI):3.43 (1.76-6.69), and 2.88 (1.37-6.03), respectively).

INTERPRETATION

Four circulating-protein based subphenotypes are present in HFrEF, which are driven by varying combinations of protein subsets, and have different clinical characteristics and prognosis.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT01851538https://clinicaltrials.gov/ct2/show/NCT01851538.

FUNDING

EU/EFPIA IMI2JU BigData@Heart grant n°116074, Jaap Schouten Foundation and Noordwest Academie.

Impact of sleep apnoea on 30 day hospital readmission rate and cost in heart failure with reduced ejection fraction

AIMS

In this study, we estimated the 30 day all-cause and heart failure-specific readmission rates, predictors, mortality, and hospitalization costs in patients with obstructive sleep apnoea admitted with acute decompensated heart failure with reduced ejection fraction.

METHODS AND RESULTS

This is a retrospective cohort study using the Agency of Healthcare Research and Quality's National Readmission Database for the year 2019. The primary outcome was the 30 day all-cause hospital readmission rate. The secondary outcomes were (i) in-hospital mortality rate for index admissions; (ii) 30 day mortality rate for index hospitalizations; (iii) the five most common principal diagnosis for readmission; (iv) readmission in-hospital mortality rate; (v) length of hospital stay; (vi) independent risk factors for readmission; and (vii) hospitalization costs. We identified 6908 hospitalizations that met our study definition. The mean patient age was 62.8 years, and women comprised only 27.6% of patients. The 30 day all-cause readmission rate was 23.4%. 48.9% of readmissions were due to decompensated heart failure. The in-hospital mortality rate during readmissions was significantly higher than that of the index admission (5.6% vs. 2.4%; P < 0.05). The mean length of stay for patients during index admissions was 6.5 days (6.06-7.02), while during readmissions, it was 8.5 days (7.4-9.6; P < 0.05). The mean total hospitalization charges at index admissions were $78 438 (68 053-88 824), while during readmissions, they were higher at $124 282 (90 906-157 659; P < 0.05). The mean total cost of hospitalization during index admissions was $20 535 (18 311-22 758), while at readmissions, it was higher at $29 954 (24 041-35 867; P < 0.05). The total hospital charges for all 30 day readmissions were $195 million, and total hospital costs was $46.9 million. The variables found to be associated with increased rate of readmissions were patients with Medicaid insurance, higher Charlson co-morbidity Index, and longer length of stay. The variables associated with lower rate of readmissions were prior percutaneous coronary intervention and patients with private insurance.

CONCLUSIONS

In patients with obstructive sleep apnoea admitted with heart failure with reduced ejection fraction, we found a substantial all-cause readmission rate of 23.4% with heart failure readmission constituting about 48.9% of readmissions. Readmissions were associated with higher mortality and resource use.

Prognostic impact of serum chloride concentrations in acute heart failure patients: A systematic Rreview and meta-analysis

OBJECTIVE

Acute heart failure (AHF) is a common disease in the emergency departments. Its occurrence is often accompanied by electrolyte disorders, but little attention is paid to chloride ion. Recent studies have shown that hypochloremia was associated with poor prognosis of AHF. Therefore, this meta-analysis aimed to assess the incidence of hypochloremia and the impact of the reduction of serum chloride on the prognosis of AHF patients.

METHODS

We searched Cochrane Library, Web of science, PubMed, Embase databases and searched the relevant studies on chloride ion and AHF prognosis. The search time is from the establishment of the database to December 29, 2021. Two researchers screened the literature and extracted data independently. The quality of the included literature was evaluated using Newcastle-Ottawa Scale (NOS) scale. The effect amount is expressed as hazard ratio (HR) or relative risk (RR) and 95% confidence interval (CI). Review Manager 5.4.1 software for was used to perform the meta-analysis.

RESULTS

Seven studies involving 6787 AHF patients were included in meta-analysis. Meta-analysis revealed that the incidence of hypochloremia in AHF patients at admission was 17% (95% CI: 0.11-0.22); One mmol /L decrease in serum chloride at admission was associated with 6% increased risk of all-cause death of AHF patients (HR = 1.06, 95% CI: 1.04-1.08, P < 0.00001); Compared with the non-hypochloremia group, the risk of all-cause death in the hypochloremia group increased by 1.71 times (RR = 1.71, 95% CI: 1.45-2.02, P < 0.00001), the risk of all-cause death in the progressive hypochloremia(development of hypochloremia after admission) group increased by 2.24 times (HR = 2.24, 95% CI: 1.72-2.92, P < 0.00001), and the risk of all-cause death in the persistent hypochloremia (hypochloremia both on admission and at discharge) group increased by 2.80 times (HR = 2.80, 95% CI: 2.10-3.72, P < 0.00001).

CONCLUSION

The available evidence shows that the decrease of chloride ion at admission is associated with poor prognosis of AHF patients, and the prognosis of persistent hypochloremia is worse.Some outcome indicators(progressive hypochloremia, persistent hypochloremia, and composite of death + HF hospitalization)are as few as 2 studies in the literature, and the results should be interpreted carefully.

Reduced heart failure-related healthcare costs with Furoscix versus in-hospital intravenous diuresis in heart failure patients: the FREEDOM-HF study

Aim: Compare heart failure (HF) costs of Furoscix use at home compared with inpatient intravenous (IV) diuresis. Patients & methods: Prospective, case control study of chronic HF patients presenting to emergency department (ED) with worsening congestion discharged to receive Furoscix 80 mg/10 ml 5-h subcutaneous infusion for ≤7 days. 30-day HF-related costs in Furoscix group derived from commercial claims database compared with matched historical patients hospitalized for <72 h. Results: Of 24 Furoscix patients, 1 (4.2%) was hospitalized in 30-day period. 66 control patients identified and were well-matched for age, sex, ejection fraction (EF), renal function and other comorbidities. Furoscix patients had reduced mean per patient HF-related healthcare cost of $16,995 (p < 0.001). Conclusion: Furoscix use was associated with significant reductions in 30-day HF-related healthcare costs versus matched hospitalized controls.

Recruitment Strategies of a Decentralized Randomized Placebo Controlled Clinical Trial: The Canagliflozin Impact on Health Status, Quality of Life and Functional Status in Heart Failure (CHIEF-HF) Trial

BACKGROUND

There has been growing Interest in patient-centered clinical trials using mobile technologies to reduce the need for in-person visits. The CHIEF-HF (Canagliflozin Impact on Health Status, Quality of Life and Functional Status in Heart Failure) trial was designed as a double-blind, randomized, fully decentralized clinical trial (DCT) that identified, consented, treated, and followed participants without any in-person visits. Patient-reported questionnaires were the primary outcome, which were collected by a mobile application. To inform future DCTs, we sought to describe the strategies used in successful trial recruitment.

METHODS

This article describes the operational structure and novel strategies employed in a completely DCT by summarizing the recruitment, enrollment, engagement, retention, and follow-up processes used in the execution of the trial at 18 centers.

RESULTS

A total of 18 sites contacted 130,832 potential participants, of which 2572 (2.0%) opened a hyperlink to the study website, completed a brief survey, and agreed to be contacted for potential inclusion. Of these, 1333 were eligible, and 658 consented; there were 182 screen failures, due primarily to baseline Kansas City Cardiomyopathy Questionnaire scores' not meeting inclusion criteria, resulting in 476 participants' being enrolled (18.5%). There was significant site-level variation in the number of patients invited (median = 2976; range 73-46,920) and in those agreeing to be contacted (median = 2.4%; range 0.05%-16.4%). At the site with the highest enrollment, patients contacted by electronic medical record portal messaging were more likely to opt into the study successfully than those contacted by e-mail alone (7.8% vs 4.4%).

CONCLUSIONS

CHIEF-HF used a novel design and operational structure to test the efficacy of a therapeutic treatment, but marked variability across sites and strategies for recruiting participants was observed. This approach may be advantageous for clinical research across a broader range of therapeutic areas, but further optimization of recruitment efforts is warranted.

REGISTRATION

NCT04252287 https://clinicaltrials.gov/ct2/show/NCT04252287.

The Impact of Cocaine Use and the Obesity Paradox in Patients With Heart Failure With Reduced Ejection Fraction Due to Non-ischemic Cardiomyopathy

Background Obesity and illicit drugs are independent risk factors for developing heart failure (HF). However, recent studies have suggested that patients who already have HF and are obese have better clinical outcomes. We aim to study the effect of cocaine use on this obesity paradox phenomenon as it pertains to HF readmissions. Methodology In a retrospective chart analysis, we reviewed patients with a diagnosis of HF with reduced ejection fraction (HFrEF) admitted to Metropolitan Hospital in New York. We studied the association between body mass index (BMI) categories, namely, non-obese (<30 kg/m2) and obese (≥30 kg/m2), cocaine use, and the primary outcome (time to readmission for HF within 30 days after discharge). The interaction between cocaine and obesity status and its association with the primary outcome was also assessed. Results A total of 261 patients were identified. Non-obese status and cocaine use were associated with an increased hazard of readmission in 30 days (hazard ratio (HR) = 2.28, p = 0.049 and HR = 3.12, p = 0.004, respectively). Furthermore, cocaine users who were non-obese were over six times more likely to be re-admitted in 30 days compared to non-cocaine users who were obese (HR = 6.45, p = 0.0002). Conclusions Non-obese status and continued use of cocaine have a negative additive effect in impacting HF readmissions.