HF-related Mortality Research Articles

Abstract 4137718: Coronary Artery Calcium for Risk Stratification of Heart Failure Mortality

Background: There is increasing interest in predicting heart failure (HF), a major cause of morbidity and mortality that exerts a significant financial burden. The role of coronary artery calcium (CAC), an accessible and inexpensive test, in predicting long-term HF mortality amongst asymptomatic adults remains unknown. Objectives: To determine if CAC burden is associated with HF-related mortality in the primary prevention population. Methods: The study included 66,636 primary prevention patients from the Coronary Artery Calcium Consortium. Multivariable competing risks regression was used to assess the association between CAC and HF-related mortality adjusting for demographics and traditional risk factors. Results: The mean age was 54.4 years, 67% male, 89% white, and 55% had CAC >0. A total of 260 HF-related mortality events were observed during a median follow up of 12.5 years, 75.3% of which occurred among those with a baseline CAC score >100. Compared with a CAC = 0, there was a stepwise higher risk (P < 0.005) of HF mortality for CAC 1-100 (subdistribution hazard ratio [SHR]: 2.27; 95% CI: 1.3-3.99), 100-400 (SHR: 3.68; 95% CI 2.1-6.43), and >400 (SHR: 7.05; 95% CI 4.05-12.29). This increasing risk of HF mortality across higher CAC scores persisted across age groups, sex, and in the intermediate and high-risk groups as calculated by the pooled cohort equation (PCE) and the PREVENT equation. Conclusions: Higher CAC is associated with increasing incidence of long-term HF-related mortality in the primary prevention population, particularly intermediate and high-risk patients. Early preventive approaches in patients with high CAC must focus on preventing heart failure and ASCVD with lifestyle changes and medications.

Abstract 4117856: Effects of a Nurse-led Common-sense Model of Self-regulation-Based Heart Failure Self-care Program on Patient Outcomes: A Randomized Controlled Trial

Introduction: Guidelines have recognized the critical role of self-care in heart failure (HF), but people with HF do not adequately practice self-care. The Common-Sense Model (CSM) of Self-Regulation is a widely used theoretical framework for promoting behavior change and improving disease prognosis among patients. However, studies on the effects of the application of this model among people with HF are limited and present mixed results. Aims: To examine the effects of a nurse-led CSM of Self-Regulation-based self-care intervention on illness perceptions, self-care behaviors, self-care self-efficacy, self-care behaviors, health-related quality of life, depression, anxiety, symptom burden, sleep quality, healthcare service utilization, and mortality among people with HF. Methods: A randomized controlled trial was conducted. Participants were recruited from a university-affiliated hospital and randomized at a 1:1 ratio into the intervention or the control groups. Participants in the intervention group received a 6-week nurse-led CSM of Self-Regulation-based self-care program and usual care. Control group participants only received the usual care. Outcomes of interest were measured at baseline, 6 weeks (T1), and 3 months (T2) after enrollment. The generalized estimating equations model and Mann-Whitney U test were used to examine the intervention effects on the study outcomes. Results: 138 subjects were enrolled in the study between March and May 2023. Participants in the intervention showed statistically greater improvements in illness perceptions, self-care self-efficacy, self-care behaviors, health-related quality of life, depression, symptom burden, and sleep quality compared with the controls at T1 and T2. We also observed a statistically significant reduction in the number of HF-related unscheduled outpatient department visits in the intervention group compared to the control group at T2. However, no significant differences were found in anxiety, number of HF-related hospital readmissions, length of HF-related hospital stays, number of HF-related emergency department visits, or HF-related mortality between the study groups at T1 and T2. Conclusion: Our program generates favorable effects on promoting behavior change and improving health outcomes among people with HF. It also fills the knowledge gaps around the application of CSM of Self-Regulation in people with HF and provides more empirical evidence supporting the effectiveness of nurse-led interventions.

Abstract 4122048: Disparities in Heart Failure-Related Mortality Among Reproductive-Aged Women in the United States from 1999 to 2019

Introduction: Heart failure (HF) majorly affects the elderly, but can also affect the younger population. This study aims to examine the trends of HF-related deaths among reproductive-aged women in the United States (US). Method: We conducted a retrospective analysis using the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database, extracting data through ICD-10 codes I11, I13.0, I13.2, and I50 to find HF-related deaths among women aged 15-44 from 1999 to 2019. We examined demographic disparities in HF mortality rates over time, considering age, ethnicity, and geographic areas. Results were reported as age-adjusted mortality rate (AAMR) and 95% confidence interval (CI). Joinpoint regression assessed trend changes and annual percentage change (APC). Results: Between 1999 and 2019, a total of 43,683 women aged 15-44 died from HF in the US, with an AAMR of 3.5 per 100,000 (95% CI: 3.5-3.5). The AAMR increased from 2.6 in 1999 to 4.8 in 2019. Non-Hispanic Black women had the highest AAMR at 10.2, while Hispanics had the lowest at 1.8. Geographically, the South was the most affected region with an AAMR of 4.6, contributing to nearly half (48.9%) of all deaths. States including Massachusetts, Oregon, New Hampshire, and Minnesota had the lowest AAMRs. Rural areas showed a higher AAMR compared to urban areas (4.4 Vs. 3.3). The age group (35-44) accounted for the majority of deaths (73.7%). Conclusion: HF-related mortality among reproductive-aged women increased from 1999 to 2019, with the highest burden among non-Hispanic Black women and those in the Southern region. Enhancing access to care, particularly in rural areas, and implementing targeted prevention programs are vital to reducing mortality rates.

Abstract 4138433: Prevalence, Clinical Characteristics, and Outcomes in Heart Failure with Improved Ejection Fraction by Chronological Age

Background: HF incidence increases with age. Modern treatments have led to more patients recovering LVEF, classified as HF with improved ejection fraction (HFimpEF). However, the age-related epidemiology and prognosis of HFimpEF remain unclear. Hypothesis: Compared to younger patients, older patients will have lower rates of HFimpEF after incident HFrEF and higher rates of HF-related morbidity and mortality. Aims: To describe the clinical characteristics and outcomes in HFimpEF across the age spectrum within a healthcare delivery system in the US. Methods: We identified adults ≥18 years with incident HFrEF (LVEF≤40%) between 2013-2018 within Kaiser Permanente Northern California (KPNC), a healthcare system serving 4.5 million members. HFimpEF was defined as baseline LVEF <40% with subsequent >10% improvement to >40%. HFimpEF incidence was assessed by baseline age categories (<50, 50-64, 65-79, ≥80 years [yrs]). Rates of worsening HF (WHF) events (i.e. HF-related hospitalization, ED, or outpatient visits) were compared between HFimpEF and persistent HFrEF patients across age using Cox proportional hazards models adjusted for sex and EF at the time of incident HFrEF, including potential interaction by age modeled continuously (cubic splines with 3 knots). Data: Among 12,639 adults with incident HFrEF, 33% experienced HFimpEF, with lower rates at older ages: 42% (<50 yrs), 41% (50-64 yrs), 35% (65-79 yrs) and 18% (≥80 yrs). Among patients with HFimpEF alive at 1-year post-HFrEF (N=9954), WHF incidence (per 100 p-y) remained high (10.7) in younger (<50 yrs) patients and increased by age: 14.5 (50-64 yrs), 21.6 (65-79 yrs), and 33.7 (≥80 yrs)(P <0.001 for trend; Figure, Panel A). Patients with HFimpEF, compared to those with persistent HFrEF, had lower adjusted rates of WHF across the spectrum of age (pinteraction by age < 0.001; Figure, Panel B). Conclusion: HFimpEF is common within a year of incident HFrEF, more prevalent in younger patients, and is associated with significant residual clinical risk. Compared to persistent HFrEF, improvements in LVEF are associated with a lower risk of WHF or death. Additional research is needed to understand HF symptom burden and medical therapy use in this population.

Left ventricular diastolic dysfunction worsens prognosis in patients with heart failure due to dilated cardiomyopathy.

The prognostic significance of left ventricular (LV) diastolic dysfunction (LVDD) severity in patients with dilated cardiomyopathy (DCM) remains uncertain. This study aimed to evaluate the association of LVDD severity and elevated left atrial pressure (eLAP) with patient outcomes in stable, non-acutely decompensated patients with DCM. This single-centre, retrospective, observational study involved 740 DCM patients (either inpatients or outpatients) managed at our tertiary cardiac centre between 2010 and 2021. Due to incomplete data, 96 patients were excluded. LVDD and eLAP were assessed using echocardiography according to the 2016 guidelines of the European Association of Cardiovascular Imaging (EACVI). The primary outcomes were all-cause mortality and heart failure (HF)-related mortality. The final cohort comprised of 644 DCM patients [mean age: 52±12years, LV ejection fraction (LVEF): 26±10%]. Over a median follow-up period of 41 (18.5-66.7) months, 105 (16.3%) patients died: 8 (5.3%) patients in the normal left atrial pressure (nLAP) group and 97 (19.6%) patients in the eLAP group. eLAP was identified as an independent prognostic factor for both all-cause mortality [hazard ratio (HR) 2.0; 95% confidence interval (CI) 1.1-3.7; P=0.01] and HF-related mortality (HR 2.5; 95% CI 1.01-6.5; P=0.04), even after adjusting for LVEF and atrial fibrillation (AF) presence. Additionally, HF-related mortality rates were significantly higher in patients with moderate to severe LVDD compared with those with mild LVDD [5 (3.3%) vs. 67 (13.6%), P<0.05]. This study's findings highlight the importance of assessing the severity of LVDD in patients with DCM, which provides incremental prognostic information over LVEF.

Coronary Artery Calcium for Risk Stratification of Heart Failure Mortality: The Coronary Artery Calcium Consortium.

There is increasing interest in predicting heart failure (HF), a major cause of morbidity and mortality with a significant financial burden. The role of coronary artery calcium (CAC), an accessible and inexpensive test, in predicting long-term HF mortality amongst asymptomatic adults remains unknown. We aim to determine if CAC burden is associated with HF-related mortality in the CAC Consortium. The study included 66,636 primary prevention patients from the CAC Consortium. Multivariable competing risks regression was used to assess the association between CAC and HF-related mortality adjusting for demographics and traditional risk factors. The mean age was 54.4 years, 67% male, 89% white, and 55% had CAC >0. 260 HF-related mortality events were observed during a median follow up of 12.5 years, 75.3% occurred among those with a baseline CAC score >100. Compared with CAC = 0, there was a stepwise higher risk (P < 0.005) of HF mortality for CAC 1-100 (subdistribution hazard ratio [SHR]: 2.27; 95% CI: 1.3-3.99), 100-400 (SHR: 3.68; 95% CI 2.1-6.43), and >400 (SHR: 7.05; 95% CI 4.05-12.29). This increasing risk of HF mortality across higher CAC scores persisted across age groups, sex, and in the intermediate and high-risk groups as calculated by the pooled cohort (PCE) and PREVENT equations. Higher CAC is associated with increasing incidence of long-term HF-related mortality in the primary prevention population, particularly intermediate and high-risk patients. Early preventive approaches in patients with high CAC must focus on preventing heart failure and ASCVD with lifestyle changes and medications.

IGF-1 levels in the general population, heart failure patients, and individuals with acromegaly: differences and projections from meta-analyses-a dual perspective.

The complex relationship between insulin-like growth factor 1 (IGF-1) levels and heart failure (HF) is not fully understood, particularly across different populations and conditions. This meta-analysis aims to elucidate the dual perspectives of IGF-1 levels in the general population, HF patients, and individuals with treatment-naïve acromegaly, highlighting IGF-1 as a biomarker and potential therapeutic target in HF management. Studies were searched across multiple electronic databases up to January 2024 and independently identified by reviewers. The outcomes were analyzed using RevMan 5.4 and STATA 15. A total of 25 articles were ultimately included in the analysis. Six studies compared IGF-1 levels between HF patients and non-HF controls, revealing significantly lower IGF-1 levels in HF patients (mean difference -20.93; 95% CI -37.88 to -3.97; p = 0.02). This reduction was consistent across various HF subtypes and severities. In addition, individuals with intermediate IGF-1 levels had a lower risk of developing HF [risk ratio (RR) 0.78; 95% CI 0.74-0.83; p < 0.01] and HF-related mortality (RR 0.98; 95% CI 0.97, 0.99; p < 0.01) compared to those with low IGF-1 levels, suggesting a protective role for maintaining adequate IGF-1 levels. Conversely, treatment-naïve acromegaly patients, characterized by excessively high IGF-1 levels, showed a significantly higher incidence of both diastolic HF [odds ratio (OR) 9.08; 95% CI 6.20-13.29; p < 0.01] and systolic HF (OR 13.1; 95% CI 6.64-25.84; p < 0.01), implicating supraphysiological IGF-1 levels in adverse cardiac outcomes. Our meta-analysis highlights the complex interplay between IGF-1 levels and HF. We found that reduced IGF-1 levels are commonly observed in HF patients and are associated with an increased risk of HF and higher HF-related mortality. Conversely, excessively high levels, as observed in acromegaly, are linked to a higher incidence of HF. Based on these results, it is recommended that cardiac function be closely monitored in patients with reduced IGF-1 levels and in those with acromegaly. These findings suggest that IGF-1 could hold potential prognostic value for risk stratification in HF.

Trends in heart failure mortality in Sweden between 1997 and 2022.

Data from US have shown a reversal in the improvement of heart failure (HF)-related mortality over the last ~10 years. It is unknown whether these trends generalize to European universal healthcare systems. We assessed temporal trends in (i) HF-related mortality in the overall national population; and (ii) all-cause mortality following an incident HF diagnosis, overall and stratified by ejection fraction (EF), in Sweden between 1997 and 2022. Annual mortality rates with a HF diagnosis as underlying cause were extracted from the Cause of Death Register. All-cause mortality following incident HF was assessed in two HF cohorts derived from the National Patient Register (NPR) and the Swedish HF Registry (SwedeHF). Temporal trends were presented as average annual percentage change (AAPC). Between 1997 and 2022, age-adjusted HF-related mortality in the general population declined from 33.4 to 23.8 per 100 000 individuals (AAPC -2.15%, p < 0.001). In the HF cohort from NPR (n = 423 092), all-cause mortality at 1, 3, and 5 years following a first diagnosis of HF was 25%, 46%, and 58%, respectively, in 2022; 1-year mortality declined (AAPC -1.10%, p < 0.001) over time regardless of age or sex. In SwedeHF (n = 63 753), the decline in 1-year mortality was less steep with increasing EF (AAPC -2.64%, p < 0.001; -2.30%, p = 0.062; and -2.16%, p = 0.032 in EF <40%, 40-49%, and ≥50%, respectively). Heart failure-related mortality has declined over the last ~25 years in Sweden. All-cause mortality in patients with HF has also declined, more in HF with reduced than preserved EF, mirroring the different availability of life-saving treatments across the EF spectrum.

Time-varying cox model for heart failure prediction in phospholamban p.(Arg14del)-positive individuals

Abstract Background Phospholamban (PLN) p.(Arg14del)-positive individuals are at risk for developing severe heart failure (HF), yet a comprehensive risk model for this outcome is missing. Our PLN registry contains longitudinal data which enables us to capture dynamic changes in covariables over time, while prior prediction models rely on baseline clinical information which may change over time. Using this longitudinal clinical information will enhance the accuracy of HF prediction and may aid patients selection for future (gene)therapy. Purpose The aim of this study is to develop a dynamic HF risk prediction model for PLN p.(Arg14del)-positive individuals. Method Data were collected of 594 PLN p.(Arg14del)-positive individuals who had no documented history of HF or myocardial infarction at time of the first echocardiography. We incorporated two time-dependent covariates in our time-varying Cox regression model: longitudinal individual predicted left ventricular ejection fraction (LVEF) and longitudinal individual predicted relative risk for major ventricular arrhythmia (VA). Predicted LVEF values were derived using observed LVEF values in a linear mixed-effect model, while the relative risk for major VA was predicted using a Cox regression model with major VA as the outcome. These time-dependent covariates were included in the time-varying Cox regression along with baseline covariables age at inclusion and previous major VA. The results were validated using 5-fold cross-validation. Results Over a median follow-up period of 3.6 years (interquartile range 1.4-6.8), 77 (13%) individuals developed HF, defined as a composite endpoint of HF hospitalisation, implantation of left ventricular assist device, heart transplantation and HF-related mortality. Our time-varying Cox regression model demonstrated a robust 5-year mean C-statistic of 0.904 (95% CI 0.901-0.908). The hazard ratio for time-dependent LVEF predictions was 0.89 per % LVEF increase (95% CI 0.87-0.91, p &amp;lt;0.001) and for time-dependent relative major VA risk predictions 3.59 (95% CI 1.49-8.69, p = 0.005). Regarding baseline covariates, age at inclusion had a hazard ratio of 1.01 (95% CI 0.99-1.03, p = 0.47) and previous major VA 0.48 (95% CI 0.21-1.1, p = 0.08). Combining the hazard ratios of time-dependent predicted relative risk for major VA and major VA in history results in a hazard ratio of 1.73. Conclusion Our study introduces a novel time-varying Cox regression model for the individual prediction of heart failure events in PLN p.(Arg14del)-positive individuals which may aid patient selection for future (gene)therapy. Results demonstrate robust predictive performance (C-statistic of 0.904, 95% CI 0.901-0.908), highlighting the significance of incorporating longitudinal data for enhanced prediction accuracy.

Effect of physical activity level on the association of LBBB, heart failure, and mortality

Abstract Background The beneficial effect of physical activity (PA) on adverse cardiovascular outcomes in patients with heart failure (HF) and left bundle branch block (LBBB) is well established. Yet, the impact of PA on individuals with LBBB without evident HF remains unexplored. Our objective is to investigate how PA modifies the outcomes of new-onset LBBB patients concerning HF-related hospitalizations and mortality. Methods Among the UK Biobank participants without a diagnosis of HF, we identified individuals with new-onset LBBB and available PA quantification. Patients were dichotomized into normal QRS and LBBB groups, following by stratification according to summed minutes of PA per week. The primary outcome was all-cause mortality, and HF-related hospitalizations. Cox proportional hazard model and Kaplan-Meier survival analysis were applied. Results The final cohort comprised 367,934 individuals, with a mean age of 56.6±8.2 years and 47% male. Among them, 3,427 (0.9%) developed new-onset LBBB, characterized by advanced age, male predominance, and higher rates of comorbidities. Median summed PA minutes per week were 100 (IQR: 125-180), with no significant difference between normal QRS and LBBB patients. Over a median follow-up of 13.8 years (IQR: 13-14.5), 26,304 patients (7.15%) died. Kaplan-Meier analysis revealed higher mortality risk with reduced PA level and/or LBBB (log-rank p&amp;lt;0.001 for both). Multivariate Cox analysis adjusted for age, sex, and comorbidities showed LBBB patients had over 3.5-fold increased risk of death (HR 3.67, 95% CI 3.39-3.97, p&amp;lt;0.001) compared to normal QRS. The association of LBBB with mortality was modified by weekly PA minutes; those with &amp;lt;150 minutes had nearly 40% higher risk compared to those with ≥150 minutes (HR 3.78, 95% CI 3.43–4.15, p&amp;lt;0.001; HR 3.4, 95% CI 2.93–3.95, p&amp;lt;0.001; p for interaction=0.035). The protective effect of PA was 6% among normal QRS patients, compared to 22% among individuals with LBBB (HR 0.94, 95% CI 0.91 – 0.96, p&amp;lt;0.001 vs. HR 0.78, 95% CI 0.66 – 0.93, p=0.004). Similar findings were observed for HF hospitalizations. Conclusions Although the correlation between LBBB and adverse cardiovascular outcomes remained consistent across both levels of physical activity (PA), it was more pronounced among patients with low PA levels. When assessing the risk in patients with newly diagnosed LBBB, particular attention should be directed towards their PA status.

Time taken for cardiology care and one-year results for primary care physicians' referrals for cardiology consultation in heart failure patients: clinical implications for heart failure management

Abstract Background and Purpose The clinical trajectory of patients with heart failure (HF) is characterised by frequent episodes of decompensation requiring urgent medical assistance, hospitalisations, and an increased risk of mortality. HF clinical guidelines recommend early visits by health professionals after hospital discharge, yet little evidence exists regarding the associations between delayed medical attention and outcomes in HF patients. To assess the clinical impact of the time taken to receive cardiology care for referrals from primary care physicians (PCPs) to a cardiology department in HF patients, we selected 6,859 HF patients who visited the cardiology service at least once between 2010 and 2021. Methods Using an interrupted time series regression model, we analysed the impact of integrating e-consultations into the healthcare model (implemented in 2013) and evaluated the time taken to receive cardiology care, as well as all-cause, cardiovascular (CV), and HF-related hospital admissions and mortality. The primary objective of this analysis was to examine the associations between delays in cardiology care following a PCP referral and 1-year outcomes (HF-related, cardiovascular, and total hospitalisations; and HF-related, cardiovascular, and total mortality). Results Almost 50% were women, and the mean age was 77.8 years. Arterial hypertension (79.6%), diabetes (34%), atrial fibrillation (51.4%), ischemic heart disease (20.4%), and cerebrovascular disease were the most prevalent comorbidities. The mean time from PCP referral to cardiology consultation in the overall population was 22.3 days: &amp;lt;8 days in 53.9%, 8-14 days in 17.1%, 15-30 days in 15.9%, and &amp;gt;30 days in 13.0% of patients, respectively. One year after cardiology consultation, 68.6% of patients required assistance in an Emergency Department; 22.5% were hospitalised for any cause, 14.9% for cardiovascular reasons, and 9.2% for HF-related issues. Moreover, total mortality at 1-year was 8.6%, comprising 4.3% cardiovascular mortality and 1.3% HF-related deaths. Multivariate analysis of the relationship between the time taken to receive cardiology care and 1-year outcomes revealed a significant increased risk associated with a longer delay in cardiology assistance, particularly evident in the subgroup of patients with previous hospital admissions due to worsening HF (see Table). Conclusions Throughout the follow-up period, a reduced time taken to receive care was independently associated with better 1-year outcomes. We believe that our experience can contribute to the development of a more efficient ambulatory care pathway for HF patients, especially those at high risk, such as those with a history of hospitalisation due to worsening events. Our findings further support the clinical guideline recommendation for early contact by health professionals following hospital discharge, extending it to include PCP referrals for cardiology consultations.

The chronobiology of human heart failure: clinical implications and therapeutic opportunities.

Circadian variation in cardiovascular and metabolic dynamics arises from interactions between intrinsic rhythms and extrinsic cues. By anticipating and accommodating adaptation to awakening and activity, their synthesis maintains homeostasis and maximizes efficiency, flexibility, and resilience. The dyssynchrony of cardiovascular load and energetic capacity arising from attenuation or loss of such rhythms is strongly associated with incident heart failure (HF). Once established, molecular, neurohormonal, and metabolic rhythms are frequently misaligned with each other and with extrinsic cycles, contributing to HF progression and adverse outcomes. Realignment of biological rhythms via lifestyle interventions, chronotherapy, and time-tailored autonomic modulation represents an appealing potential strategy for improving HF-related morbidity and mortality.

Trends in cancer and heart failure related mortality in adult US population: A CDC WONDER database analysis from 1999 to 2020

BackgroundWith the advent of novel chemotherapy, survival of patients with cancer has improved. However, people with cancer have an increased risk of heart failure (HF). Conversely, HF-related mortality may undermine survival among people with cancer. We aim to analyze the trends of mortality in people with HF and cancer in the adult US population. MethodsWe conducted an examination of death certificates sourced from the CDC WONDER (Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research) database, from the years 1999 to 2020. Mortality in adults with HF and cancer was assessed. Age-adjusted mortality rates (AAMRs) per 100,000 persons and annual percent change were reported. ResultsBetween 1999 and 2020, 621,783 deaths occurred from HF in people with cancer. The AAMR declined from 16.4 in 1999 to 11.9 in 2017, after which an increase to 14.5 was observed in 2020. Men had consistently higher overall AAMR as compared to women (men = 18.1 vs women = 9.9). Similar AAMR was observed between non-Hispanic (NH) Blacks/African Americans (13.9) and NH Whites (13.3), with lower in American Indian/Alaska Native (9.6) and Hispanics (7.4). Asian/Pacific Islanders reported the lowest AAMR (5.7). The Midwestern region reported the highest AAMR (14.8). We observed the highest AAMR amongst the older population (61.4). ConclusionThe mortality rates of people with HF and cancer are increasing in the adult U.S. population. This underscores the need for increased screening, aggressive management, and subsequent surveillance of people at risk or with manifested HF in people with cancer.

Effects of Social Isolation and Loneliness on Heart Failure Self-care: A Cross-sectional Analysis.

Patients with heart failure (HF) who engage in effective HF self-care have better quality of life, and lower risks of all-cause and HF-related hospital readmission and mortality. It is unclear whether social isolation and loneliness, which are prevalent among patients with HF and known to affect other self-care behaviors, can predict HF self-care. The aim was to explore the relationship between social isolation, loneliness, and HF self-care. This was a cross-sectional secondary analysis (n = 49) of the GEtting iNTo Light Exercise for HF randomized controlled trial, a 6-month home-based live group gentle exercise intervention for patients with HF. Measures included the following: 6-item Lubben Social Network Scale for social isolation, Patient-Reported Outcomes Measurement Information System Social Isolation survey for loneliness, Self-Care of Heart Failure Index, and Patient-Reported Outcomes Measurement Information System Depression survey. Multiple linear regression modeling was used to examine the relationships of 4 HF self-care processes to social isolation and loneliness, adjusting for depression and grouping (control group or intervention group). Scores indicating less social isolation predicted higher self-care maintenance (B = 0.937, P = .015), monitoring (B = 0.799, P = .041), and management (B = 1.812, P < .001). Loneliness did not predict HF self-care. To our knowledge, this is the first study to predict HF self-care using distinct measures for social isolation and loneliness. Patients who were less socially isolated engaged in better HF self-care; loneliness had no relationship with HF self-care. Prospective studies are needed to investigate causal relationships between social isolation and HF-self-care engagement to determine the effect on outcomes such as hospital readmission and mortality.

Non-cardiac comorbidities in heart failure: an update on diagnostic and management strategies.

Managing non-cardiac comorbidities in heart failure (HF) requires a tailored approach that addresses each patient's specific conditions and needs. Regular communication and coordination among healthcare providers is crucial to providing the best possible care for these patients. Poorly controlled hypertension contributes to left ventricular remodeling and diastolic dysfunction, emphasizing the importance of optimal blood pressure control while avoiding adverse effects. Among HF patients with diabetes, SGLT2 inhibitors and mineralocorticoid receptor antagonists have shown promise in reducing HF-related morbidity and mortality. Chronic kidney disease exacerbates HF and vice versa, forming the vicious cardiorenal syndrome, so disease-modifying therapies should be maintained in HF patients with comorbid CKD, even with transient changes in kidney function. Anemia in HF patients may be multifactorial, and there is growing evidence for the benefit of intravenous iron supplementation in HF patients with iron deficiency with or without anemia. Obesity, although a risk factor for HF, paradoxically offers a better prognosis once HF is established, though developing treatment strategies may improve symptoms and cardiac performance. In HF patients with stroke and atrial fibrillation, anticoagulation therapy is recommended. Among HF patients with sleep-disordered breathing, continuous positive airway pressure may improve sleep quality. Chronic obstructive pulmonary disease often coexists with HF, and many patients can tolerate cardioselective beta-blockers. Cancer patients with comorbid HF require careful consideration of cardiotoxicity risks associated with cancer therapies. Depression is underdiagnosed in HF patients and significantly impacts prognosis. Cognitive impairment is prevalent in HF patients and impacts their self-care and overall quality of life.

Demographic trends of cardiorenal and heart failure deaths in the United States, 2011-2020.

Heart failure (HF) and kidney disease frequently co-occur, increasing mortality risk. The cardiorenal syndrome results from damage to either the heart or kidney impacting the other organ. The epidemiology of cardiorenal syndrome among the general population is incompletely characterized and despite shared risk factors with HF, differences in mortality risk across key demographics have not been well described. Thus, the primary goal of this study was to analyze annual trends in cardiorenal-related mortality, evaluate if these trends differed by age, sex, and race or ethnicity, and describe these trends against a backdrop of HF mortality. The Centers for Disease Control and Prevention Wide-ranging ONline Data for Epidemiologic Research database was used to examine cardiorenal- and HF-related mortality in the US between 2011and 2020. International Classification of Diseases, 10 Revision codes were used to classify cardiorenal-related deaths (I13.x) and HF-related deaths (I11.0, I13.0, I13.2, and I50.x), among decedents aged 15 years or older. Decedents were further stratified by age group, sex, race, or ethnicity. Crude and age-adjusted mortality rates (AAMR) per 100,000 persons were calculated. A total of 97,135 cardiorenal-related deaths and 3,453,655 HF-related deaths occurred. Cardiorenal-related mortality (AAMR, 3.26; 95% CI: 3.23-3.28) was significantly lower than HF-related mortality (AAMR, 115.7; 95% CI: 115.6-115.8). The annual percent change (APC) was greater and increased over time for cardiorenal-related mortality (2011-2015: APC, 7.1%; 95% CI: 0.7-13.9%; 2015-2020: APC, 19.7%, 95% CI: 16.3-23.2%), whereas HF-related mortality also increased over that time period, but at a consistently lower rate (2011-2020: APC, 2.4%; 95% CI: 1.7-3.1%). Mortality was highest among older and male decedents for both causes. Cardiorenal-related deaths were more common in non-Hispanic or Latino Blacks compared to Whites, but similar rates were observed for HF-related mortality. A larger proportion of cardiorenal-related deaths, compared to HF-related deaths, listed cardiorenal syndrome as the underlying cause of death (67.0% vs. 1.2%). HF-related deaths substantially outnumber cardiorenal-related deaths; however, cardiorenal-related deaths are increasing at an alarming rate with the highest burden among non-Hispanic or Latino Blacks. Continued surveillance of cardiorenal-related mortality trends is critical and future studies that contain detailed biomarker and social determinants of health information are needed to identify mechanisms underlying differences in mortality trends.

Titration of Medications After Acute Heart Failure Is Safe, Tolerated, and Effective Regardless of Risk

BackgroundGuideline-directed medical therapy (GDMT) decisions may be less affected by single patient variables such as blood pressure or kidney function and more by overall risk profile. In STRONG-HF (Safety, tolerability and efficacy of up-titration of guideline-directed medical therapies for acute heart failure), high-intensity care (HIC) in the form of rapid uptitration of heart failure (HF) GDMT was effective overall, but the safety, tolerability and efficacy of HIC across the spectrum of HF severity is unknown. Evaluating this with a simple risk-based framework offers an alternative and more clinically translatable approach than traditional subgroup analyses. ObjectivesThe authors sought to assess safety, tolerability, and efficacy of HIC according to the simple, powerful, and clinically translatable MAGGIC (Meta-Analysis Global Group in Chronic) HF risk score. MethodsIn STRONG-HF, 1,078 patients with acute HF were randomized to HIC (uptitration of treatments to 100% of recommended doses within 2 weeks of discharge and 4 scheduled outpatient visits over the 2 months after discharge) vs usual care (UC). The primary endpoint was the composite of all-cause death or first HF rehospitalization at day 180. Baseline HF risk profile was determined by the previously validated MAGGIC risk score. Treatment effect was stratified according to MAGGIC risk score both as a categorical and continuous variable. ResultsAmong 1,062 patients (98.5%) with complete data for whom a MAGGIC score could be calculated at baseline, GDMT use at baseline was similar across MAGGIC tertiles. Overall GDMT prescriptions achieved for individual medication classes were higher in the HIC vs UC group and did not differ by MAGGIC risk score tertiles (interaction nonsignificant). The incidence of all-cause death or HF readmission at day 180 was, respectively, 16.3%, 18.9%, and 23.2% for MAGGIC risk score tertiles 1, 2, and 3. The HIC arm was at lower risk of all-cause death or HF readmission at day 180 (HR: 0.66; 95% CI: 0.50-0.86) and this finding was robust across MAGGIC risk score modeled as a categorical (HR: 0.51; 95% CI: 0.62-0.68 in tertiles 1, 2, and 3; interaction nonsignificant) for all comparisons and continuous (interaction nonsignificant) variable. The rate of adverse events was higher in the HIC group, but this observation did not differ based on MAGGIC risk score tertile (interaction nonsignificant). ConclusionsHIC led to better use of GDMT and lower HF-related morbidity and mortality compared with UC, regardless of the underlying HF risk profile. (Safety, Tolerability and Efficacy of Rapid Optimization, Helped by NT-proBNP testinG, of Heart Failure Therapies [STRONG-HF]; NCT03412201)

Heart Failure-Related Death in Subjects With Atrial Fibrillation in the United States, 1999 to 2020.

Population-based data on heart failure (HF)-related death in patients with atrial fibrillation (AF) are lacking. We assessed HF-related death in people with AF in the United States over the past 21 years and examined differences by age, sex, race, ethnicity, urbanization, and census region. Data were extracted from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research to determine trends in age-adjusted mortality rates per 100 000 people, due to HF-related death among subjects with AF aged ≥15 years. To calculate nationwide annual trends, we assessed the average annual percent change (AAPC) and annual percent change with relative 95% CIs using joinpoint regression. Between 1999 and 2020, 916 685 HF-related deaths (396 205 men and 520 480 women) occurred among US adults having a concomitant AF. The overall age-adjusted mortality rates increased (AAPC: +4.1% [95% CI, 3.8-4.4]; P<0.001), especially after 2011 (annual percent change, +6.8% [95% CI, 6.2-7.4]; P<0.001) in men (AAPC, +4.8% [95% CI, 4.4-5.1]; P<0.001), in White subjects (AAPC: +4.2% [95% CI, 3.9 to 4.6]; P<0.001) and in subjects aged <65 years (AAPC: +7.5% [95% CI, 6.7-8.4]; P<0.001). The higher percentage of deaths were registered in the South (32.8%). During the first year of the COVID-19 pandemic, a significant excess in HF-related deaths among patients with AF aged >65 years was observed. A worrying increase in the HF-related mortality rate among patients with AF has been observed in the United States over the past 2 decades.

Age-stratified profiles and outcomes of patients with heart failure with preserved ejection fraction.

This study aimed to elucidate age-stratified clinical profiles and outcomes in patients with heart failure (HF) with preserved left ventricular ejection fraction (LVEF) (HFpEF). The Chronic Heart Failure Registry and Analysis in the Tohoku District-2 (CHART-2) Study included 2824 consecutive HFpEF patients with LVEF≥50% (mean age 69.0±12.3years; 67.7% male) with a median follow-up of 9.8years. We stratified them into five age groups: ≤54 (N=349, 12.4%), 55-64 (N=529, 18.7%), 65-74 (N=891, 31.6%), 75-84 (N=853, 30.2%), and ≥85years (N=202, 7.2%), and we categorized these age groups into younger (≤64years) and older (≥65years) groups. We compared the clinical profiles and outcomes of HFpEF patients across age groups. Younger HFpEF groups exhibited a male predominance, elevated body mass index (BMI), and poorly controlled diabetes (haemoglobin A1c>7.0%). Older HFpEF groups were more likely to be female with multiple comorbidities, including coronary artery disease, hypertension, renal impairment, and atrial fibrillation. The positive association between elevated BMI and HFpEF was more pronounced with lower classes of age from ≥85 to ≤54years, especially in males. With higher classes of age from ≤54 to ≥85years, mortality rates increased, and HF death became proportionally more prevalent (Ptrend<0.001), whereas sudden cardiac death (SCD) exhibited the opposite trend (Ptrend=0.002). Poorly controlled diabetes emerged as the only predictor of SCD in the younger groups (adjusted hazard ratio 4.26; 95% confidence interval 1.45-12.5; P=0.008). Multiple comorbidities were significantly associated with an increased risk of HF-related mortality in the older groups. Younger HFpEF patients (≤64years) exhibit a male predominance, elevated BMI, and poorly controlled diabetes, highlighting the importance of glycaemic control in reducing SCD risk. Older HFpEF patients (≥65years) are more likely to be female, with multiple comorbidities linked to an increased risk of HF-related mortality. These findings underscore the need for physicians to recognize age-related, distinct HFpEF phenotypes for personalized patient management.

Harnessing the Synergy of SGLT2 Inhibitors and Continuous Ketone Monitoring (CKM) in Managing Heart Failure among Patients with Type 1 Diabetes.

Heart failure (HF) management in type 1 diabetes (T1D) is particularly challenging due to its increased prevalence and the associated risks of hospitalization and mortality, driven by diabetic cardiomyopathy. Sodium-glucose cotransporter-2 inhibitors (SGLT2-is) offer a promising avenue for treating HF, specifically the preserved ejection fraction variant most common in T1D, but their utility is hampered by the risk of euglycemic diabetic ketoacidosis (DKA). This review investigates the potential of SGLT2-is in T1D HF management alongside emergent Continuous Ketone Monitoring (CKM) technology as a means to mitigate DKA risk through a comprehensive analysis of clinical trials, observational studies, and reviews. The evidence suggests that SGLT2-is significantly reduce HF hospitalization and enhance cardiovascular outcomes. However, their application in T1D patients remains limited due to DKA concerns. CKM technology emerges as a crucial tool in this context, offering real-time monitoring of ketone levels, which enables the safe incorporation of SGLT2-is into treatment regimes by allowing for early detection and intervention in the development of ketosis. The synergy between SGLT2-is and CKM has the potential to revolutionize HF treatment in T1D, promising improved patient safety, quality of life, and reduced HF-related morbidity and mortality. Future research should aim to employ clinical trials directly assessing this integrated approach, potentially guiding new management protocols for HF in T1D.