Multimorbidity in heart failure: a community perspective

Heart failure with preserved ejection fraction: The role of inflammation

Heart failure (HF) is a debilitating clinical syndrome affecting 64.3 million patients worldwide. More than 50% of HF cases are attributed to HF with preserved ejection fraction (HFpEF), an entity growing in prevalence and mortality. Although recent breakthroughs reveal the prognostic benefits of sodium-glucose co-transporter 2 inhibitors (SGLT2i) in HFpEF, there is still a lack of effective pharmacological therapy available. This highlights a major gap in medical knowledge that must be addressed. Current evidence attributes HFpEF pathogenesis to an interplay between cardiometabolic comorbidities, inflammation, and renin-angiotensin-aldosterone-system (RAAS) activation, leading to cardiac remodelling and diastolic dysfunction. However, conventional RAAS blockade has demonstrated limited benefits in HFpEF, which emphasises that alternative therapeutic targets should be explored. Presently, there is limited literature examining the use of anti-inflammatory HFpEF therapies despite growing evidence supporting its importance in disease progression. Hence, this review aims to explore current perspectives on HFpEF pathogenesis, including the importance of inflammation-driven cardiac remodelling and the therapeutic potential of anti-inflammatory therapies.

Identification of novel biomarkers, shared molecular signatures and immune cell infiltration in heart and kidney failure by transcriptomics

Introduction

Heart failure (HF) and kidney failure (KF) are closely related conditions that often coexist, posing a complex clinical challenge. Understanding the shared mechanisms between these two conditions is crucial for developing effective therapies.

Methods

This study employed transcriptomic analysis to unveil molecular signatures and novel biomarkers for both HF and KF. A total of 2869 shared differentially expressed genes (DEGs) were identified in patients with HF and KF compared to healthy controls. Functional enrichment analysis was performed to explore the common mechanisms underlying these conditions. A protein-protein interaction (PPI) network was constructed, and machine learning algorithms, including Random Forest (RF), Support Vector Machine-Recursive Feature Elimination (SVM-RFE), and Least Absolute Shrinkage and Selection Operator (LASSO), were used to identify key signature genes. These genes were further analyzed using Gene Set Variation Analysis (GSVA) and Gene Set Enrichment Analysis (GSEA), with their diagnostic values validated in both training and validation sets. Molecular docking studies were conducted. Additionally, immune cell infiltration and correlation analyses were performed to assess the relationship between immune responses and the identified biomarkers.

Results

The functional enrichment analysis indicated that the common mechanisms are associated with cellular homeostasis, cell communication, cellular replication, inflammation, and extracellular matrix (ECM) production, with the PI3K-Akt signaling pathway being notably enriched. The PPI network revealed two key protein clusters related to the cell cycle and inflammation. CDK2 and CCND1 were identified as signature genes for both HF and KF. Their diagnostic value was validated in both training and validation sets. Additionally, docking studies with CDK2 and CCND1 were performed to evaluate potential drug candidates. Immune cell infiltration and correlation analyses highlighted the immune microenvironment, and that CDK2 and CCND1 are associated with immune responses in HF and KF.

Discussion

This study identifies CDK2 and CCND1 as novel biomarkers linking cell cycle regulation and inflammation in heart and kidney failure. These findings offer new insights into the molecular mechanisms of HF and KF and present potential targets for diagnosis and therapy.

Pathophysiological insights into HFpEF from studies of human cardiac tissue

Heart failure with preserved ejection fraction (HFpEF) is a major, worldwide health-care problem. Few therapies for HFpEF exist because the pathophysiology of this condition is poorly defined and, increasingly, postulated to be diverse. Although perturbations in other organs contribute to the clinical profile in HFpEF, altered cardiac structure, function or both are the primary causes of this heart failure syndrome. Therefore, studying myocardial tissue is fundamental to improve pathophysiological insights and therapeutic discovery in HFpEF. Most studies of myocardial changes in HFpEF have relied on cardiac tissue from animal models without (or with limited) confirmatory studies in human cardiac tissue. Animal models of HFpEF have evolved based on theoretical HFpEF aetiologies, but these models might not reflect the complex pathophysiology of human HFpEF. The focus of this Review is the pathophysiological insights gained from studies of human HFpEF myocardium. We outline the rationale for these studies, the challenges and opportunities in obtaining myocardial tissue from patients with HFpEF and relevant comparator groups, the analytical approaches, the pathophysiological insights gained to date and the remaining knowledge gaps. Our objective is to provide a roadmap for future studies of cardiac tissue from diverse cohorts of patients with HFpEF, coupling discovery biology with measures to account for pathophysiological diversity.

Race, Social Determinants of Health, and Comorbidity Patterns Among Participants with Heart Failure in the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study

Background

Among individuals with heart failure (HF), racial differences in comorbidities may be mediated by social determinants of health (SDOH).

Methods

Black and White US community-dwelling participants in the REasons for Geographic and Racial Differences in Stroke (REGARDS) study aged ≥ 45 years with an adjudicated HF hospitalization between 2003 and 2017 were included in this cross-sectional analysis. We assessed whether higher prevalence of comorbidities in Black participants compared to White participants were mediated by SDOH in socioeconomic, environment/housing, social support, and healthcare access domains, using the inverse odds weighting method.

Results

Black (n = 240) compared to White (n = 293) participants with HF with preserved ejection fraction (HFpEF) had higher prevalence of diabetes [1.38 (95% CI: 1.18 - 1.61)], chronic kidney disease [1.21 (95% CI: 1.01 - 1.45)], and anemia [1.33 (95% CI: 1.02 - 1.75)] and lower prevalence of atrial fibrillation [0.80 (95% CI: (0.65 - 0.98)]. Black (n = 314) compared to White (n = 367) participants with HF with reduced ejection fraction (HFrEF) had higher prevalence of hypertension [1.04 (95% CI: 1.02 - 1.07)] and diabetes [1.26 (95% CI: 1.09 - 1.45)] and lower prevalence of coronary artery disease [0.86 (95% CI: 0.78 - 0.94)] and atrial fibrillation [0.70 (95% CI: 0.58 - 0.83)]. Socioeconomic status explained 14.5%, 26.5% and 40% of excess diabetes, anemia, and chronic kidney disease among Black adults with HFpEF; however; mediation was not statistically significant and no other SDOH substantially mediated differences in comorbidity prevalence.

Conclusions

Socioeconomic status partially mediated excess diabetes, anemia, and chronic kidney disease experienced by Black adults with HFpEF, but differences in other comorbidities were not explained by other SDOH examined.

Multimorbidity in Incident Heart Failure: Characterisation and Impact on 1-Year Outcomes

Background/Objectives: Heart failure (HF) is usually accompanied by other comorbidities, which, altogether, have a major impact on patients and healthcare systems. Our aim was to analyse the demographic and clinical characteristics of incident HF patients and the effect of comorbidities on one-year health outcomes. Methods: This was an observational, retrospective, population-based study of incident HF patients between 2014 and 2018 in the EpiChron Cohort, Spain. The included population contained all primary and hospital care patients with a diagnosis of HF. All chronic diseases in their electronic health records were pooled into three comorbidity clusters (cardiovascular, mental, other physical). These comorbidity groups and the health outcomes were analysed until 31 December 2018. A descriptive analysis was performed. Cox regression models and survival curves were calculated to determine the hazard risk (HR) of all-cause mortality, all-cause and HF-related hospital admissions, hospital readmissions, and emergency room visits for each comorbidity group. Results: In total, 13,062 incident HF patients were identified (mean age = 82.0 years; 54.8% women; 93.7% multimorbid; mean of 4.52 ± 2.06 chronic diseases). After one-year follow-up, there were 3316 deaths (25.3%) and 4630 all-cause hospitalisations (35.4%). After adjusting by gender, age, and inpatient/outpatient status, the mental cluster was associated (HR; 95% confidence interval) with a higher HR of death (1.08; 1.01-1.16) and all-cause hospitalisation (1.09; 1.02-1.16). Conclusions: Cardiovascular comorbidities are the most common and studied ones in HF patients; however, they are not the most strongly associated with negative impacts on health outcomes in these patients. Our findings suggest the importance of a holistic and integral approach in the care of HF patients and the need to take into account the entire spectrum of comorbidities for improving HF management in clinical practice.

Epidemiology of Heart Failure and the Discovery of the Cardioprotective Effects of SGLT2 Inhibitors

In this video, Javed Butler, MD, introduces the series on the use of SGLT2 inhibitors in heart failure. He discusses the epidemiology of heart failure and the effects of SGLT2 inhibitors on heart failure outcomes. Jonathan Rich, MD, joins to summarize the effects of SGLT2 inhibitors from dedicated trials in patients with heart failure.

The impact of multimorbidity and functional limitation on quality of life in patients with heart failure: A multi-site study

BACKGROUND

Multimorbidity and functional limitation are associated with poor outcomes in heart failure (HF). However, the individual and combined effect of these on health-related quality of life in patients with HF is not well understood.

METHODS

Patients aged ≥30 years with two or more HF diagnostic codes and one or more HF-related prescription drugs from four U.S. institutions were mailed a survey to measure patient-centric factors including functional status (activities of daily living [ADLs]) and health-related quality of life (PROMIS-29 Health Profile). Patients with HF from January 1, 2013 to February 1, 2018 were included. Multimorbidity was defined as ≥2 non-cardiovascular comorbidities; functional limitation as any limitation in at least one of eight ADLs. Patients were categorized into four groups by multimorbidity (Yes/No) and functional limitation (Yes/No). We dichotomized the PROMIS-29 sub-scale scores at the median and calculated odd ratios for the four multimorbidity/functional limitation groups.

RESULTS

A total of 3330 patients with HF returned the survey (response rate 31%); 3020 completed the questions of interest and were retained. Among these patients (45% female; mean age 73 [standard deviation: 12] years), 29% had neither multimorbidity nor functional limitation, 24% had multimorbidity only, 22% had functional limitation only, and 25% had both. After adjustment, having functional limitation only was associated with higher anxiety (odds ratio [OR]: 3.44, 95% confidence interval [CI]: 2.66-4.45), depression (OR: 3.11, 95% CI: 2.39-4.06), and fatigue (OR: 4.19, 95% CI: 3.25-5.40); worse sleep (OR: 2.14, 95% CI: 1.69-2.72) and pain (OR: 6.73, 95% CI: 5.15-8.78); and greater difficulty with social activities (OR: 9.40, 95% CI: 7.19-12.28) compared with having neither. Results were similar for having both multimorbidity and functional limitation.

CONCLUSION

Patients with only functional limitation have similar poor health-related quality of life scores as those with both multimorbidity and functional limitation, underscoring the important role that physical functioning plays in the well-being of patients with HF.

Heart failure with mildly reduced and preserved ejection fraction: A review of disease burden and remaining unmet medical needs within a new treatment landscape

This review provides a comprehensive overview of heart failure with mildly reduced and preserved ejection fraction (HFmrEF/HFpEF), including its definition, diagnosis, and epidemiology; clinical, humanistic, and economic burdens; current pharmacologic landscape in key pharmaceutical markets; and unmet needs to identify key knowledge gaps. We conducted a targeted literature review in electronic databases and prioritized articles with valuable insights into HFmrEF/HFpEF. Overall, 27 randomized controlled trials (RCTs), 66 real-world evidence studies, 18 clinical practice guidelines, and 25 additional publications were included. Although recent heart failure (HF) guidelines set left ventricular ejection fraction thresholds to differentiate categories, characterization and diagnosis criteria vary because of the incomplete disease understanding. Recent epidemiological data are limited and diverse. Approximately 50% of symptomatic HF patients have HFpEF, more common than HFmrEF. Prevalence varies with country because of differing definitions and study characteristics, making prevalence interpretation challenging. HFmrEF/HFpEF has considerable mortality risk, and the mortality rate varies with study and patient characteristics and treatments. HFmrEF/HFpEF is associated with considerable morbidity, poor patient outcomes, and common comorbidities. Patients require frequent hospitalizations; therefore, early intervention is crucial to prevent disease burden. Recent RCTs show promising results like risk reduction of composite cardiovascular death or HF hospitalization. Costs data are scarce, but the economic burden is increasing. Despite new drugs, unmet medical needs requiring new treatments remain. Thus, HFmrEF/HFpEF is a growing global healthcare concern. With improving yet incomplete understanding of this disease and its promising treatments, further research is required for better patient outcomes.

A large, multi-center survey assessing health, social support, literacy, and self-management resources in patients with heart failure

BACKGROUND

Most patients with heart failure (HF) have multimorbidity which may cause difficulties with self-management. Understanding the resources patients draw upon to effectively manage their health is fundamental to designing new practice models to improve outcomes in HF. We describe the rationale, conceptual framework, and implementation of a multi-center survey of HF patients, characterize differences between responders and non-responders, and summarize patient characteristics and responses to the survey constructs among responders.

METHODS

This was a multi-center cross-sectional survey study with linked electronic health record (EHR) data. Our survey was guided by the Chronic Care Model to understand the distribution of patient-centric factors, including health literacy, social support, self-management, and functional and mental status in patients with HF. Most questions were from existing validated questionnaires. The survey was administered to HF patients aged ≥ 30 years from 4 health systems in PCORnet® (the National Patient-Centered Clinical Research Network): Essentia Health, Intermountain Health, Mayo Clinic, and The Ohio State University. Each health system mapped their EHR data to a standardized PCORnet Common Data Model, which was used to extract demographic and clinical data on survey responders and non-responders.

RESULTS

Across the 4 sites, 10,662 patients with HF were invited to participate, and 3330 completed the survey (response rate: 31%). Responders were older (74 vs. 71 years; standardized difference (95% CI): 0.18 (0.13, 0.22)), less racially diverse (3% vs. 12% non-White; standardized difference (95% CI): -0.32 (-0.36, -0.28)), and had higher prevalence of many chronic conditions than non-responders, and thus may not be representative of all HF patients. The internal reliability of the validated questionnaires in our survey was good (range of Cronbach's alpha: 0.50-0.96). Responders reported their health was generally good or fair, they frequently had cardiovascular comorbidities, > 50% had difficulty climbing stairs, and > 10% reported difficulties with bathing, preparing meals, and using transportation. Nearly 80% of patients had family or friends sit with them during a doctor visit, and 54% managed their health by themselves. Patients reported generally low perceived support for self-management related to exercise and diet.

CONCLUSIONS

More than half of patients with HF managed their health by themselves. Increased understanding of self-management resources may guide the development of interventions to improve HF outcomes.

Review of the National Institute for Health and Care Excellence guidelines on chronic heart failure

Guidelines are more accessible than ever and represent an important tool in clinical practice. The National Institute for Health and Care Excellence (NICE) has developed recommendations for heart failure diagnosis and management based not only on morbidity and mortality trial outcome data but also in-depth economic analysis, with a focus on generalisability to UK National Health Service clinical practice. There is broad consistency in structure and content between NICE guidelines and those produced by major cardiovascular organisations such as the American College of Cardiology/American Heart Association and the European Society of Cardiology. However, important differences do exist-largely attributable to publication timing-a factor that is enhanced by the rapid pace of heart failure research. This article reviews the most recent iteration of NICE chronic heart failure guidelines and compares them with major guidelines on an international scale. Variations in recommendations will be explored including implications for NICE guideline updates in the future.

Efficacy of Guideline-Directed Medical Therapy in Heart Failure Patients With and Without Chronic Kidney Disease: A Meta-Analysis of 63,677 Patients

BACKGROUND

Chronic kidney disease (CKD) coexists in up to 50% of heart failure (HF) patients, affecting both those with reduced ejection fraction (HFrEF) and those with preserved ejection fraction (HFpEF). Although the efficacy of several guideline-directed medical therapies (GDMT) has been well established, the treatment recommendations are similar for those patients with HF with and without CKD. We aimed to investigate the efficacy of GDMT in patients with HF with versus those without CKD.

METHOD

This systematic review and meta-analysis included randomised controlled trials that compared the efficacy of GDMT (angiotensin-converting enzyme inhibitor [ACE-I], beta blocker, sodium-glucose cotransporter-2 inhibitor, mineralocorticoid receptor antagonist, angiotensin receptor-neprilysin inhibitor) in patients with HF with and without CKD. The primary outcome was the composite of cardiovascular death and HF hospitalisation. Risk ratios (RR) were pooled using random-effects meta-analysis.

RESULTS

A total of 19 trials (15 trials in HFrEF and four trials in HFpEF) enrolling 63,677 (38% had CKD) participants were included. Among HFrEF patients, GDMT reduced the primary endpoint in those with CKD (RR 0.77, 95% confidence interval [CI] 0.72-0.82) and without CKD (RR 0.79, 95% CI 0.74-0.84). Among HFpEF patients, the pooled summary RR for GDMT reducing the primary endpoint was 0.82 (95% CI 0.74-0.91) among those with CKD and 0.88 (95% CI 0.77-0.99) among those without CKD. There was no significant difference in the efficacy of GDMT in head-to-head comparisons between those with and without CKD in HFrEF (ratio of RR 0.97, 95% CI 0.88-1.06) and HFpEF (ratio of RR 0.94, 95% CI 0.80-1.11).

CONCLUSIONS

Among patients with HF, GDMT had a consistent effect in reducing adverse cardiovascular events in those with and without CKD. Future studies should investigate the best strategy to ensure patients with HF with CKD receive and tolerate GDMT when indicated.

Prognostic impact of chronic obstructive pulmonary disease in patients with heart failure with mildly reduced ejection fraction

BACKGROUND

The aging population has led to a significant increase in heart failure (HF) patients. Related to demographic changes, the burden with comorbidities was shown to increase in patients with HF. Whereas chronic obstructive pulmonary disease (COPD) was yet demonstrated to be associated with adverse outcomes in patients with HF, the prognostic impact of COPD in HF with mildly reduced ejection fraction (HFmrEF) has not yet been clarified.

OBJECTIVE

The study investigates the prognostic impact of COPD in patients hospitalized with HFmrEF.

METHODS

Consecutive patients with HFmrEF were retrospectively included at one institution from 2016 to 2022. Patients with COPD were compared to patients without with regard to the primary endpoint all-cause mortality at 30 months (median follow-up). Secondary endpoints comprised in-hospital mortality, HF-related re-hospitalization, cardiac re-hospitalization and major adverse cardiac and cerebrovascular events (MACCE) at 30 months.

RESULTS

A total of 2184 patients with HFmrEF were included with a prevalence of COPD of 12.0 %. Patients with COPD were older (median 77 vs. 75 years; p = 0.025), had increased burden of cardiovascular comorbidities and more advanced HF symptoms. At 30 months, patients with COPD had an increased risk of all-cause mortality compared to patients without (45 % vs. 30 %; HR = 1.667; 95 % CI 1.366-2.034; p = 0.001), alongside with a higher risk of re-hospitalization for worsening HF (20 % vs. 12 %; HR = 1.658; 95 % CI 1.218-2.257; p = 0.001).

CONCLUSION

COPD is independently associated with adverse outcomes in patients hospitalized with HFmrEF.

Circulating ketone bodies and mortality in heart failure: a community cohort study

Background

The relationship between ketone bodies (KB) and mortality in patients with heart failure (HF) syndrome has not been well established.

Objectives

The aim of this study is to assess the distribution of KB in HF, identify clinical correlates, and examine the associations between plasma KB and all-cause mortality in a population-based HF cohort.

Methods

The plasma KB levels were measured by nuclear magnetic resonance spectroscopy. Multivariable linear regression was used to examine associations between clinical correlates and KB levels. Proportional hazard regression was employed to examine associations between KB (represented as both continuous and categorical variables) and mortality, with adjustment for several clinical covariates.

Results

Among the 1,382 HF patients with KB measurements, the median (IQR) age was 78 (68, 84) and 52% were men. The median (IQR) KB was found to be 180 (134, 308) μM. Higher KB levels were associated with advanced HF (NYHA class III-IV) and higher NT-proBNP levels (both P < 0.001). The median follow-up was 13.9 years, and the 5-year mortality rate was 51.8% [95% confidence interval (CI): 49.1%-54.4%]. The risk of death increased when KB levels were higher (HRhigh vs. low group 1.23; 95% CI: 1.05-1.44), independently of a validated clinical risk score. The association between higher KB and mortality differed by ejection fraction (EF) and was noticeably stronger among patients with preserved EF.

Conclusions

Most patients with HF exhibited KB levels that were consistent with those found in healthy adults. Elevated levels of KB were observed in patients with advanced HF. Higher KB levels were found to be associated with an increased risk of death, particularly in patients with preserved EF.

Wild and cultivated olive trees: Nutraceutical insights of extra virgin olive oils in cardiovascular and ocular diseases

Extra virgin olive oil (EVOO) from Olea europaea (cultivated olive tree) and the oil obtained from the wild olive variety or acebuche (ACE oil from Olea oleaster) contain an extraordinary number of bioactive molecules. These include oleic acid, sterols, tocopherols, triterpene compounds, and polyphenols. Both oils are known for their healthy properties and are considered to be a nutraceutical tool against cardiovascular diseases, including arterial hypertension, preeclampsia, and ocular diseases such as glaucoma or diabetic retinopathy. The benefits of EVOO and ACE oil stem from their anti-inflammatory, antioxidant, and anti-cancer properties. They also have potential as prebiotic compounds. In this update, we synthesise and illustrate the various characteristics and beneficial effects of olive oils from different varieties of olive trees, with special emphasis on Olea oleaster, also known as Olea europaea, L. var. sylvestris.

Scoping Review of Measures of Comorbidities in Heart Failure

BACKGROUND

Comorbidities are risk factors for poor clinical outcomes in patients with heart failure. However, no consensus has been reached on how to assess comorbidities related to clinical outcomes in patients with heart failure.

OBJECTIVE

The aims of this study were to review (1) how comorbidities have been assessed, (2) what chronic conditions have been identified as comorbidities and (3) the rationale for choosing the comorbidity instruments and/or specific comorbidities when exploring clinical outcomes in patients with heart failure.

METHODS

The clinical outcomes of interest were mortality, hospitalization, quality of life, and self-care. Three electronic databases and reference list searches were used in the search.

RESULTS

In this review, we included 39 articles using 3 different ways to assess comorbidities in the relationship with clinical outcomes: using an instrument (ie, Charlson Comorbidity Index), disease count, and including individual comorbidities. A total of 90 comorbidities were investigated in the 39 articles; however, definitions and labels for the diseases were inconsistent across the studies. More than half of the studies (n = 22) did not provide a rationale for selecting the comorbidity instruments and/or all of the specific comorbidities. Some of the rationale for choosing the instruments and/or specific comorbidities was inappropriate.

CONCLUSIONS

We found several issues related to measuring comorbidities when examining clinical outcomes in patients with heart failure. Researchers need to consider these methodological issues when measuring comorbidities in patients with heart failure. Further efforts are needed to develop guidelines on how to choose proper measures for comorbidities.

Development and Validation of a Protein Risk Score for Mortality in Heart Failure : A Community Cohort Study

BACKGROUND

Heart failure (HF) is a complex clinical syndrome with high mortality. Current risk stratification approaches lack precision. High-throughput proteomics could improve risk prediction. Its use in clinical practice to guide the management of patients with HF depends on validation and evidence of clinical benefit.

OBJECTIVE

To develop and validate a protein risk score for mortality in patients with HF.

DESIGN

Community-based cohort.

SETTING

Southeast Minnesota.

PARTICIPANTS

Patients with HF enrolled between 2003 and 2012 and followed through 2021.

MEASUREMENTS

A total of 7289 plasma proteins in 1351 patients with HF were measured using the SomaScan Assay (SomaLogic). A protein risk score was derived using least absolute shrinkage and selection operator regression and temporal validation in patients enrolled between 2003 and 2007 (development cohort) and 2008 and 2012 (validation cohort). Multivariable Cox regression was used to examine the association between the protein risk score and mortality. The performance of the protein risk score to predict 5-year mortality risk was assessed using calibration plots, decision curves, and relative utility analyses and compared with a clinical model, including the Meta-Analysis Global Group in Chronic Heart Failure mortality risk score and N-terminal pro-B-type natriuretic peptide.

RESULTS

The development (n = 855; median age, 78 years; 50% women; 29% with ejection fraction <40%) and validation cohorts (n = 496; median age, 76 years; 45% women; 33% with ejection fraction <40%) were mostly similar. In the development cohort, 38 unique proteins were selected for the protein risk score. Independent of ejection fraction, the protein risk score demonstrated good calibration, reclassified mortality risk particularly at the extremes of the risk distribution, and showed greater clinical utility compared with the clinical model.

LIMITATION

Participants were predominantly of European ancestry, potentially limiting the generalizability of the findings to different patient populations.

CONCLUSION

Validation of the protein risk score demonstrated good calibration and evidence of predicted benefits to stratify the risk for death in HF superior to that of clinical methods. Further studies are needed to prospectively evaluate the score's performance in diverse populations and determine risk thresholds for interventions.

PRIMARY FUNDING SOURCE

Division of Intramural Research at the National Heart, Lung, and Blood Institute of the National Institutes of Health.

Role of exercise therapy and cardiac rehabilitation in heart failure

Heart failure (HF) is a common cause of hospitalization and death, and the hallmark symptoms of HF, including dyspnea, fatigue, and exercise intolerance, contribute to poor patient quality of life (QoL). Cardiac rehabilitation (CR) is a comprehensive disease management program incorporating exercise training, cardiovascular risk factor management, and psychosocial support. CR has been demonstrated to effectively improve patient functional status and QoL among patients with HF. However, CR participation among patients with HF is poor. This review details the mechanisms of dyspnea and exercise intolerance among patients with HF, the physiologic and clinical improvements observed with CR, and the key components of a CR program for patients with HF. Furthermore, unmet needs and future strategies to improve patient participation and engagement in CR for HF are reviewed.

Predictors of All-Cause 30-Day Readmissions in Patients with Heart Failure at an Urban Safety Net Hospital: The Importance of Social Determinants of Health and Mental Health

Introduction

Heart failure (HF) is a frequent cause of readmissions. Despite caring for underresourced patients and dependence on government funding, safety net hospitals frequently incur penalties for failing to meet pay-for-performance readmission metrics. Limited research exists on the causes of HF readmissions in safety net hospitals. Therefore, we sought to investigate predictors of 30-day all-cause readmission in HF patients in the safety net setting.

Methods

We performed a retrospective chart review of patients admitted for HF from October 2018 to April 2019. We extracted data on demographics and medical comorbidities and performed patient-specific review of social determinants and mental health in 4 domains: race/ethnicity, housing status, substance use, and mental illness. Multivariable Poisson regression modeling was employed to evaluate associations with 30-day all-cause readmission.

Results

The study population included 290 patients, among whom the mean age was 59 years and 71% (n = 207) were male; 42% (120) were Black/African American (AA), 22% (64) were Hispanic/Latino, and 96% (278) had public insurance; 28% (79) were not housed, 19% (56) had a diagnosis of mental illness, and active substance use was common. The 30-day readmission rate was 25.5% (n = 88). Factors that were associated with increased risk of readmission included self-identifying as Black/AA (relative risk 2.28, 95% confidence interval 1.00-5.20) or Hispanic/Latino (2.53, 1.07-6.00), experiencing homelessness (2.07, 1.21-3.56), living in a shelter (3.20, 1.27-8.02), or intravenous drug use (IVDU) (2.00, 1.08-3.70).

Conclusion

Race/ethnicity, housing status, and substance use were associated with increased risk of 30-day all-cause readmission in HF patients in a safety net hospital. In contrast to prior studies, medical comorbidities were not associated with increased risk of readmission.

Multimorbidity in patients with acute heart failure across world regions and country income levels (REPORT-HF): a prospective, multicentre, global cohort study

BACKGROUND

Multimorbidity (two or more comorbidities) is common among patients with acute heart failure, but comprehensive global information on its prevalence and clinical consequences across different world regions and income levels is scarce. This study aimed to investigate the prevalence of multimorbidity and its effect on pharmacotherapy and prognosis in participants of the REPORT-HF study.

METHODS

REPORT-HF was a prospective, multicentre, global cohort study that enrolled adults (aged ≥18 years) admitted to hospital with a primary diagnosis of acute heart failure from 358 hospitals in 44 countries on six continents. Patients who currently or recently participated in a clinical treatment trial were excluded. Follow-up data were collected at 1-year post-discharge. The primary outcome was 1-year post-discharge mortality. All patients in the REPORT-HF cohort with full data on comorbidities were eligible for the present study. We stratified patients according to the number of comorbidities, and countries by world region and country income level. We used one-way ANOVA, χ2 test, or Mann-Whitney U test for comparisons between groups, as applicable, and Cox regression to analyse the association between multimorbidity and 1-year mortality.

FINDINGS

Between July 23, 2014, and March 24, 2017, 18 553 patients were included in the REPORT-HF study. Of these, 18 528 patients had full data on comorbidities, of whom 11 360 (61%) were men and 7168 (39%) were women. Prevalence rates of multimorbidity were lowest in southeast Asia (72%) and highest in North America (92%). Fewer patients from lower-middle-income countries had multimorbidity than patients from high-income countries (73% vs 85%, p<0·0001). With increasing comorbidity burden, patients received fewer guideline-directed heart failure medications, yet more drugs potentially causing or worsening heart failure. Having more comorbidities was associated with worse outcomes: 1-year mortality increased from 13% (no comorbidities) to 26% (five or more comorbidities). This finding was independent of common baseline risk factors, including age and sex. The population-attributable fraction of multimorbidity for mortality was higher in high-income countries than in upper-middle-income or lower-middle-income countries (for patients with five or more comorbidities: 61% vs 27% and 31%, respectively).

INTERPRETATION

Multimorbidity is highly prevalent among patients with acute heart failure across world regions, especially in high-income countries, and is associated with higher mortality, less prescription of guideline-directed heart failure pharmacotherapy, and increased use of potentially harmful medications.

FUNDING

Novartis Pharma.

TRANSLATIONS

For the Arabic, French, German, Hindi, Mandarin, Russian and Spanish translations of the abstract see Supplementary Materials section.

Performance of the ACC/AHA Pooled Cohort Cardiovascular Risk Equations in Clinical Practice

BACKGROUND

The performance of the American College of Cardiology/American Heart Association pooled cohort equation (PCE) for atherosclerotic cardiovascular disease (ASCVD) in real-world clinical practice has not been evaluated extensively.

OBJECTIVES

The goal of this study was to test the performance of PCE to predict ASCVD risk in the community, and determine if including individuals with values outside the PCE range (ie, age, blood pressure, cholesterol) or statin therapy initiation over follow-up would significantly affect PCE predictive capabilities.

METHODS

The PCE was validated in a community-based cohort of consecutive patients who sought primary care in Olmsted County, Minnesota, between 1997 and 2000, followed-up through 2016. Inclusion criteria were similar to those of PCE derivation. Patient information was ascertained by using the record linkage system of the Rochester Epidemiology Project. ASCVD events (nonfatal and fatal myocardial infarction and ischemic stroke) were validated in duplicate. Calculated and observed ASCVD risk and c-statistics were compared across predefined groups.

RESULTS

This study included 30,042 adults, with a mean age of 48.5 ± 12.2 years; 46% were male. Median follow-up was 16.5 years, truncated at 10 years for this analysis. Mean ASCVD risk was 5.6% ± 8.73%. There were 1,555 ASCVD events (5.2%). The PCE revealed good performance overall (c-statistic 0.78) and in sex and race subgroups; it was highest among non-White female subjects (c-statistic 0.81) and lowest in White male subjects (c-statistic 0.77). Out-of-range values and initiation of statin medication did not affect model performance.

CONCLUSIONS

The PCE performed well in a community cohort representing real-world clinical practice. Values outside PCE ranges and initiation of statin medication did not affect performance. These results have implications for the applicability of current strategies for the prevention of ASCVD.

A nationwide study of temporal trends of cause-specific hospital readmissions in patients with heart failure

AIMS

The impact of hospital readmissions on the outcomes of heart failure (HF) patients is well known. However, data on temporal trends of cause-specific hospital readmissions in these patients are limited.

METHODS AND RESULTS

From 1987 to 2014, we identified and followed up for 1 year 608 135 patients ≥18 years hospitalized with HF according to the International Classification of Diseases (ICD) 9 and 10 from the National Inpatient Register. Readmissions for cardiovascular (CVD) and non-CVD causes and co-morbidities were defined according to ICD-9 and ICD-10 codes. We analysed trends in the incidence rate of readmissions, the median time to the first rehospitalization, and the time to readmission, stratified by sex, age groups and cause of rehospitalization using linear regression. During our study, 1 year all-cause mortality decreased (β = -4.93, P < 0.0001), but the incidence rate of readmissions per 1000 person-years remained unchanged. The readmission rate for CVD causes decreased; in contrast, the readmission rate increased across all age and sex groups for non-CVD causes. Analysing the patients by study periods (1987-1997, 1998-2007 and 2008-2014), CVD and non-CVD co-morbidities had a statistically significant increasing trend (P < 0.001). The median time in hospital decreased and the median time to the first readmission were almost unchanged.

CONCLUSIONS

Contrary to a declining mortality rate, the incidence rate of readmissions saw no change, possibly because of divergent trends in cause-specific readmissions. An increasing rate of readmissions for non-CVD causes underscores the importance of optimising multimorbidity management to reduce the risk of readmissions in patients with HF.

Advance directive screening among veterans with incident heart failure: Comparisons among people aging with and without HIV

BACKGROUND

Heart failure (HF) is common among people aging with HIV (PWH) and without HIV (PWoH). Despite the poor prognosis for HF, advance directives (AD) completion is low but has not been compared among PWH and PWoH.

OBJECTIVES

Determine the prevalence and predictors of AD screening among PWH and PWoH with incident HF.

METHODS

We included Veterans with an incident HF diagnosis code from 2013-2018 in the Veterans Aging Cohort Study (VACS) without prior AD screening. Health records were reviewed for AD screening note titles within -30 days to 1-year post-HF diagnosis. Analyses were stratified by HIV status. Trends in annual AD screening were evaluated with the Cochran-Mantel-Haenszel test. The associations of AD screening with demographics, disease severity (Charlson Comorbidity Index, VACS 2.0 Index), and healthcare encounters (cardiology, palliative care, hospitalization) were evaluated with Cox proportional hazards regression.

RESULTS

HF was diagnosed in 4516 Veterans (28.2% PWH, 71.8% PWoH). Annual AD screening rates increased in both groups (Ptrend<0.0001) and aggregate rates were higher among PWH than PWoH (53.5% vs. 48.2%, p=.001). In both groups, the likelihood of AD screening increased with greater disease severity, palliative care contact, and hospitalization (HR range=1.04-3.32, all p≤.02) but not with cardiology contact (p≥.53).

CONCLUSIONS

AD screening rates after incident HF remain suboptimal but increased over time and were higher in PWH. Future quality improvement and implementation efforts should aim for universal AD screening with incident HF diagnosis, initiated by providers skilled in discussing AD, including in the cardiology subspecialty setting.

Impact of multimorbidity on mortality in heart failure with reduced ejection fraction: which comorbidities matter most? An analysis of PARADIGM-HF and ATMOSPHERE

AIMS

Multimorbidity, the coexistence of two or more chronic conditions, is synonymous with heart failure (HF). How risk related to comorbidities compares at individual and population levels is unknown. The aim of this study is to examine the risk related to comorbidities, alone and in combination, both at individual and population levels.

METHODS AND RESULTS

Using two clinical trials in HF - the Prospective comparison of ARNI (Angiotensin Receptor-Neprilysin Inhibitor) with ACEI (Angiotensin-Converting Enzyme Inhibitor) to Determine Impact on Global Mortality and morbidity in HF trial (PARADIGM-HF) and the Aliskiren Trial to Minimize Outcomes in Patients with Heart Failure trials (ATMOSPHERE) - we identified the 10 most common comorbidities and examined 45 possible pairs. We calculated population attributable fractions (PAF) for all-cause death and relative excess risk due to interaction with Cox proportional hazard models. Of 15 066 patients in the study, 14 133 (93.7%) had at least one and 11 867 (78.8%) had at least two of the 10 most prevalent comorbidities. The greatest individual risk among pairs was associated with peripheral artery disease (PAD) in combination with stroke (hazard ratio [HR] 1.73; 95% confidence interval [CI] 1.28-2.33) and anaemia (HR 1.71; 95% CI 1.39-2.11). The combination of chronic kidney disease (CKD) and hypertension had the highest PAF (5.65%; 95% CI 3.66-7.61). Two pairs demonstrated significant synergistic interaction (atrial fibrillation with CKD and coronary artery disease, respectively) and one an antagonistic interaction (anaemia and obesity).

CONCLUSIONS

In HF, the impact of multimorbidity differed at the individual patient and population level, depending on the prevalence of and the risk related to each comorbidity, and the interaction between individual comorbidities. Patients with coexistent PAD and stroke were at greatest individual risk whereas, from a population perspective, coexistent CKD and hypertension mattered most.

Predictors of early heart failure rehospitalization among older adults with preserved and reduced ejection fraction: A review and derivation of a conceptual model

BACKGROUND

Heart failure (HF) is prevalent among older adults who suffer with either heart failure preserved ejection fraction (HFpEF) or heart failure reduced ejection fraction (HFrEF) and have a high rate of early HF rehospitalization. Preventing early rehospitalization is complex because of major differences between the two subtypes of HF as well as inadequate predictive models to identify key contributing factors.

OBJECTIVE

To present research addressing relationships between selected clinical, hemodynamic, social factors, and early (≤ 60-day) HF rehospitalization in older adults with HFpEF and HFrEF, derive a conceptual model of predictors of rehospitalization, and understand to what extent the literature addresses these predictors among older women.

METHODS

Four computerized databases were searched for research addressing clinical, hemodynamic, and social factors relevant to early HF rehospitalization and older adults post index hospitalization for HF.

RESULTS

21 full-text articles were included in the final review and organized thematically. Most studies focused on early (≤ 30-day) HF rehospitalizations, with limited attention given to the 31 to 60-day period. Specific clinical, hemodynamic, and social factors which influenced early HF rehospitalization were identified. The existing literature confirms that risk predictors or their combinations which influence early (≤ 60-day) HF rehospitalization after an index HF hospitalization remains inconsistent. Further, the literature fails to capture the influence of these predictors solely among older women. A conceptual model of risk predictors is proposed for clinical intervention.

CONCLUSION

Further evaluation to understand risk predictors of early (31 to 60-day) HF rehospitalizations among older women is needed.

Chronic Kidney Disease as a Comorbidity in Heart Failure

Heart failure (HF) is one of the greatest problems in healthcare and it often coexists with declining renal function. The pathophysiology between the heart and the kidneys is bidirectional. Common mechanisms leading to the dysfunction of these organs result in a vicious cycle of cardiorenal deterioration. It is also associated with difficulties in the treatment of aggravating HF and chronic kidney disease (CKD) and, as a consequence, recurrent hospitalizations and death. As the worsening of renal function has an undeniably negative impact on the outcomes in patients with HF, searching for new treatment strategies and identification of biomarkers is necessary. This review is focused on the pathomechanisms in chronic kidney disease in patients with HF and therapeutic strategies for co-existing CKD and HF.

Comorbidities complicating heart failure: changes over the last 15 years

AIMS

Management of comorbidities represents a critical step in optimal treatment of heart failure (HF) patients. However, minimal attention has been paid whether comorbidity burden and their prognostic value changes over time. Therefore, we examined the association between comorbidities and clinical outcomes in HF patients between 2002 and 2017.

METHODS AND RESULTS

The 2002-HF cohort consisted of patients from The Coordinating Study Evaluating Outcomes of Advising and Counseling in Heart Failure (COACH) trial (n = 1,032). The 2017-HF cohort were outpatient HF patients enrolled after hospitalization for HF in a tertiary referral academic hospital (n = 382). Kaplan meier and cox regression analyses were used to assess the association of comorbidities with HF hospitalization and all-cause mortality. Patients from the 2017-cohort were more likely to be classified as HF with preserved ejection fraction (24 vs 15%, p < 0.001), compared to patients from the 2002-cohort. Comorbidity burden was comparable between both cohorts (mean of 3.9 comorbidities per patient) and substantially increased with age. Higher comorbidity burden was significantly associated with a comparable increased risk for HF hospitalization and all-cause mortality (HR 1.12 [1.02-1.22] and HR 1.18 [1.05-1.32]), in the 2002- and 2017-cohort respectively. When assessing individual comorbidities, obesity yielded a statistically higher prognostic effect on outcome in the 2017-cohort compared to the 2002-HF cohort (p for interaction 0.026).

CONCLUSION

Despite major advances in HF treatment over the past decades, comorbidity burden remains high in HF and influences outcome to a large extent. Obesity emerges as a prominent comorbidity, and efforts should be made for prevention and treatment. Created with BioRender.com.

Accuracy of the electronic health record's problem list in describing multimorbidity in patients with heart failure in the emergency department

Patients with heart failure (HF) often suffer from multimorbidity. Rapid assessment of multimorbidity is important for minimizing the risk of harmful drug-disease and drug-drug interactions. We assessed the accuracy of using the electronic health record (EHR) problem list to identify comorbid conditions among patients with chronic HF in the emergency department (ED). A retrospective chart review study was performed on a random sample of 200 patients age ≥65 years with a diagnosis of HF presenting to an academic ED in 2019. We assessed participant chronic conditions using: (1) structured chart review (gold standard) and (2) an EHR-based algorithm using the problem list. Chronic conditions were classified into 37 disease domains using the Agency for Healthcare Research Quality's Elixhauser Comorbidity Software. For each disease domain, we report the sensitivity, specificity, positive predictive value, and negative predictive of using an EHR-based algorithm. We calculated the intra-class correlation coefficient (ICC) to assess overall agreement on Elixhauser domain count between chart review and problem list. Patients with HF had a mean of 5.4 chronic conditions (SD 2.1) in the chart review and a mean of 4.1 chronic conditions (SD 2.1) in the EHR-based problem list. The five most prevalent domains were uncomplicated hypertension (90%), obesity (42%), chronic pulmonary disease (38%), deficiency anemias (33%), and diabetes with chronic complications (30.5%). The positive predictive value and negative predictive value of using the EHR-based problem list was greater than 90% for 24/37 and 32/37 disease domains, respectively. The EHR-based problem list correctly identified 3.7 domains per patient and misclassified 2.0 domains per patient. Overall, the ICC in comparing Elixhauser domain count was 0.77 (95% CI: 0.71-0.82). The EHR-based problem list captures multimorbidity with moderate-to-good accuracy in patient with HF in the ED.

Activities of Daily Living and Outcomes in Patients with Advanced Heart Failure

BACKGROUND

Functional debility is associated with worse outcomes in the general heart failure population, but the prevalence of difficulty with activities of daily living and clinical significance once patients develop advanced heart failure requires further examination.

METHODS

This was a population-based, retrospective cohort study of Olmsted County, Minnesota adults with advanced heart failure from 2007-2018. Difficulty with 9 activities of daily living was assessed by questionnaire. Predictors of difficulty were assessed by a proportional odds model. Associations of difficulty with activities of daily living with mortality and hospitalization were examined using Cox and Andersen-Gill models.

RESULTS

Among 765 patients with advanced heart failure, 565 (73.9%) reported difficulty with activities of daily living at diagnosis. Of those, 257 (45%) had moderate and 148 (26%) had severe difficulty. Independent predictors of difficulty included female sex (odds ratio [OR] 1.73; 95% confidence interval [CI], 1.26-2.36; P = .001), older age (OR per 10-year increase 1.17; 95% CI, 1.05-1.31; P = .005), dementia (OR 1.85; 95% CI, 1.06-3.24; P = .031), depression (OR 1.75; 95% CI, 1.28-2.40; P = .001), and morbid obesity (OR 1.49; 95% CI, 1.04-2.13; P = .031). Estimated 2-year mortality was 61.5%, 64.2%, and 67.6% in patients with no/minimal, moderate, and severe difficulty, respectively. The adjusted hazard ratios (95% CI) for death were 1.08 (0.90-1.28) and 1.17 (0.95-1.43) for moderate and severe difficulty, respectively, vs no/minimal difficulty (P = .33). There were no statistically significant associations of difficulty with activities of daily living and hospitalization risks.

CONCLUSIONS

Most patients with advanced heart failure have difficulty completing activities of daily living and are at high risk of mortality regardless of impairment in activities of daily living.

Clusters of Comorbidities in the Short-Term Prognosis of Acute Heart Failure among Elderly Patients: A Retrospective Cohort Study

Background and Objectives: Elderly patients affected by acute heart failure (AHF) often show different patterns of comorbidities. In this paper, we aimed to evaluate how chronic comorbidities cluster and which pattern of comorbidities is more strongly related to in-hospital death in AHF. Materials and Methods: All patients admitted for AHF to an Internal Medicine Department (01/2015−01/2019) were retrospectively evaluated; the main outcome of this study was in-hospital death during an admission for AHF; age, sex, the Charlson comorbidity index (CCI), and 17 different chronic pathologies were investigated; the association between the comorbidities was studied with Pearson’s bivariate test, considering a level of p ≤ 0.10 significant, and considering p < 0.05 strongly significant. Thus, we identified the clusters of comorbidities associated with the main outcome and tested the CCI and each cluster against in-hospital death with logistic regression analysis, assessing the accuracy of the prediction with ROC curve analysis. Results: A total of 459 consecutive patients (age: 83.9 ± 8.02 years; males: 56.6%). A total of 55 (12%) subjects reached the main outcome; the CCI and 16 clusters of comorbidities emerged as being associated with in-hospital death from AHF. Of these, CCI and six clusters showed an accurate prediction of in-hospital death. Conclusions: Both the CCI and specific clusters of comorbidities are associated with in-hospital death from AHF among elderly patients. Specific phenotypes show a greater association with a worse short-term prognosis than a more generic scale, such as the CCI.

Sex differences and related estrogenic effects in heart failure with preserved ejection fraction

Heart failure with preserved ejection fraction (HFpEF) is an essential subtype of heart failure accounting for 40% of the total. However, the related pathological mechanism and drug therapy research have been stagnant for a long time. The direct cause of this dilemma is the heterogeneity of HFpEF. And some researchers believe that there is no common pathway to reach the origin of HFpEF; others argue that there is an unidentified unified pathophysiological process hidden beneath the ice surface. Aside from the debate, a series of clinical studies have shown that hypertension and obesity play a fundamental role in the pathogenesis of HFpEF. These results imply that there may be two parallel pathological processes interweaved in one disease, manifested as multiple coexistent pathological phenomena, like a shadow. Meanwhile, the prevalence of HFpEF in women is higher than in men in any given age group, especially prominent in elderly patients. These pathological processes and epidemiological data reflect gender differences, reminding us to shift our attention to estrogen. This article will review the parallel pathogenesis of HFpEF, and also introduce sex differences and the potential effect of estrogen in this condition below.

Natural Language Processing for Computer-Assisted Chart Review to Assess Documentation of Substance use and Psychopathology in Heart Failure Patients Awaiting Cardiac Resynchronization Therapy

CONTEXT

Advanced heart failure (HF) patients often experience distressing psychological symptoms, frequently meeting diagnostic criteria for psychological disorders, including anxiety, depression, and substance use disorder. Patients with device-based HF therapies have added risk for psychological disorders, with consequences for their physiological functioning, including adverse cardiac outcomes.

OBJECTIVES

This study used natural language processing (NLP) for computer-assisted chart review to assess documentation of mental health and substance use in HF patients awaiting cardiac resynchronization therapy (CRT), a device-based HF therapy.

METHODS

We applied NLP to clinical notes from electronic health records (EHR) of 965 consecutive patients, with 9821 total clinical notes, at two academic medical centers between 2004 and 2015. We developed and validated a keyword library capturing terms related to mental health and substance use, while balancing specificity and sensitivity.

RESULTS

Mean age was 71.6 years (SD = 11.8), 78% male, and 87% non-Hispanic White. Of the 544 patients (56.4%) with documentation of mental health history, 9.7% had their mental health assessed and 6.6% had a plan documented. Of the 773 patients (80.1%) with documentation of substance use history, 10 (1.0%) had an assessment, and 3 (0.3%) had a plan.

CONCLUSION

Despite clinical recommendations and standards of care, clinicians are under documenting assessments and plans prior to CRT. Future research should develop an algorithm to prompt clinicians to document this content. Such quality improvement efforts may ensure adherence to standards of care and clinical guidelines.

Heart failure and the risk of left atrial thrombus formation in patients with atrial fibrillation or atrial flutter

AIMS

The aim of the study was to evaluate the prevalence of left atrial thrombus (LAT) on transoesophageal echocardiography (TOE) in patients with atrial fibrillation or atrial flutter (AF/AFl) with reference to the presence of heart failure (HF) and its subtypes.

METHODS AND RESULTS

The research is a sub-study of the multicentre, prospective, observational Left Atrial Thrombus on Transoesophageal Echocardiography (LATTEE) registry, which comprised 3109 consecutive patients with AF/AFl undergoing TOE prior to direct current cardioversion or catheter ablation. TOE parameters, including presence of LAT, were compared between patients with and without HF and across different subtypes of HF, including HF with preserved (HFpEF), mid-range (HFmrEF), and reduced ejection fraction (HFrEF). HF was diagnosed in 1336 patients (43%). HF patients had higher prevalence of LAT than non-HF patients (12.8% vs. 4.4%; P < 0.001). LAT presence increased with more advanced type of systolic dysfunction (HFpEF vs. HFmrEF vs. HFrEF: 7.4% vs. 10.5% vs. 20.3%; P < 0.001). Univariate analysis revealed that HFrEF (odds ratio [OR] 4.13; 95% confidence interval [95% CI]: 3.13-5.46), but not HFmrEF or HFpEF, was associated with the presence of LAT. Multivariable logistic regression indicated that lower left ventricular ejection fraction (OR per 1%: 0.94; 95% CI 0.93-0.95) was an independent predictor of LAT formation. Receiver operator characteristic analysis showed LVEF ≤48% adequately predicted increased risk of LAT presence (area under the curve [AUC] 0.74; P < 0.0001).

CONCLUSION

The diagnosis of HFrEF, but neither HFmrEF nor HFpEF, confers a considerable risk of LAT presence despite widespread utilization of adequate anticoagulation.

Contemporary use of SGLT2 inhibitors in heart failure patients with diabetes mellitus: a comparison of DPP4 inhibitors in a nationwide electric health database of the superaged society

BACKGROUND

There is a lack of recent data reflecting the actual use of sodium-glucose cotransporter-2 (SGLT2) inhibitors for heart failure (HF) and type 2 diabetes (DM) in the superaged society. The present study investigated the association between the use of SGLT2 inhibitors and one-year prognosis in patients hospitalized across a broad spectrum of HF patients with DM in the superaged society using the Nationwide Electric Health Database in Japan.

METHODS

The patients hospitalized with the first episode of acute HF were identified from the National Database of Health Insurance Claims and Specific Health Checkups of Japan between April 2014 and March 2019. A cohort of 2,277 users of SGLT2 inhibitors and 41,410 users of the active comparator, dipeptidyl peptidase-4 (DPP4) inhibitors were compared. A propensity score-matched cohort study of 2,101 users of each inhibitor was also conducted. A multivariable multilevel mixed-effects survival model was conducted with adjustments, and hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated.

RESULTS

Among 300,398 patients discharged with HF in 4,176 hospitals, 216,016 (71.9%) were 75 years or older, and 60,999 (20.3%) took antidiabetic medications. Among them, the patients treated with SGLT2 inhibitors were younger and had a more severe status than those treated with DPP4 inhibitors. Kaplan-Meier analysis showed that patients treated with SGLT2 inhibitors had a lower mortality risk and HF readmission. In propensity-matched cohorts, SGLT2 inhibitor use was associated with a lower risk of mortality and HF readmission than DPP-4 inhibitor use (HR [95% CI]; 0.70 [0.56, 0.89] and 0.52 [0.45, 0.61], respectively). Very elderly (≥ 75 years) patients showed similar results. Favorable effects were also observed across all age groups, including ≥ 75 years, in patients with coronary artery disease or atrial fibrillation and with concomitant β-blocker, diuretics, or insulin.

CONCLUSION

The use of SGLT2 inhibitors at discharge was associated with a lower risk of one-year mortality and HF readmission in patients across a broad spectrum of HF with DM in the superaged society. The findings further support the benefits of using SGLT2 inhibitors in very elderly HF care and complement the current evidence.

Multispecialty multidisciplinary input into comorbidities along with treatment optimisation in heart failure reduces hospitalisation and clinic attendance

Aims

Heart failure (HF) is associated with comorbidities which independently influence treatment response and outcomes. This retrospective observational study (January 2020–June 2021) analysed the impact of monthly HF multispecialty multidisciplinary team (MDT) meetings to address management of HF comorbidities and thereby on provision, cost of care and HF outcomes.

Methods

Patients acted as their own controls, with outcomes compared for equal periods (for each patient) pre (HF MDT) versus post-MDT (multispecialty) meeting. The multispecialty MDT comprised HF cardiologists (primary, secondary, tertiary care), HF nurses, nephrologist, endocrinologist, palliative care, chest physician, pharmacist, clinical pharmacologist and geriatrician. Outcome measures were (1) all-cause hospitalisations, (2) outpatient clinic attendances and (3) cost.

Results

334 patients (mean age 72.5±11 years) were discussed virtually through MDT meetings and follow-up duration was 13.9±4 months. Mean age-adjusted Charlson Comorbidity Index was 7.6±2.1 and Rockwood Frailty Score 5.5±1.6. Multispecialty interventions included optimising diabetes therapy (haemoglobin A1c-HbA1c pre-MDT 68±11 mmol/mol vs post-MDT 61±9 mmol/mol; p<0.001), deprescribing to reduce anticholinergic burden (pre-MDT 1.85±0.4 vs 1.5±0.3 post-MDT; p<0.001), initiation of renin–angiotensin aldosterone system inhibitors in HF with reduced ejection fraction (HFrEF) with advanced chronic kidney disease (9% pre vs 71% post-MDT; p<0.001). Other interventions included potassium binders, treatment of anaemia, falls assessment, management of chest conditions, day-case ascitic, pleural drains and palliative support. Total cost of funding monthly multispecialty meetings was £32 400 and resultant 64 clinic appointments cost £9600. The post-MDT study period was associated with reduction in 481 clinic appointments (cost saving £72150) and reduced all-cause hospitalisations (pre-MDT 1.1±0.4 vs 0.6±0.1 post-MDT; p<0.001), reduction of 1586 hospital bed-days and cost savings of £634 400. Total cost saving to the healthcare system was £664 550.

Conclusion

HF multispecialty virtual MDT model provides integrated, holistic care across all healthcare tiers for management of HF and associated comorbidities. This approach is associated with reduced clinic attendances and all-cause hospitalisations, leading to significant cost savings.

Sauver J, Bielinski SJ, Chamberlain AM, Weston SA, Jiang R, Roger VL. Alzheimer's disease and related dementias and heart failure: A community study

BACKGROUND

Cognitive function is essential to effective self-management of heart failure (HF). Alzheimer's disease and Alzheimer's disease-related dementias (AD/ADRD) can coexist with HF, but its exact prevalence and impact on health care utilization and death are not well defined.

METHODS

Residents from 7 southeast Minnesota counties with a first-ever diagnosis code for HF between January 1, 2013 and December 31, 2018 were identified. Clinically diagnosed AD/ADRD was ascertained using the Centers for Medicare and Medicaid (CMS) Chronic Conditions Data Warehouse algorithm. Patients were followed through March 31, 2020. Cox and Andersen-Gill models were used to examine associations between AD/ADRD (before and after HF) and death and hospitalizations, respectively.

RESULTS

Among 6336 patients with HF (mean age [SD] 75 years [14], 48% female), 644 (10%) carried a diagnosis of AD/ADRD at index HF diagnosis. The 3-year cumulative incidence of AD/ADRD after HF diagnosis was 17%. During follow-up (mean [SD] 3.2 [1.9] years), 2618 deaths and 15,475 hospitalizations occurred. After adjustment, patients with AD/ADRD before HF had nearly a 2.7 times increased risk of death, but no increased risk of hospitalization compared to those without AD/ADRD. When AD/ADRD was diagnosed after the index HF date, patients experienced a 3.7 times increased risk of death and a 73% increased risk of hospitalization compared to those who remain free of AD/ADRD.

CONCLUSIONS

In a large, community cohort of patients with incident HF, the burden of AD/ADRD is quite high as more than one-fourth of patients with HF received a diagnosis of AD/ADRD either before or after HF diagnosis. AD/ADRD markedly increases the risk of adverse outcomes in HF underscoring the need for future studies focused on holistic approaches to improve outcomes.

Multimorbidity, guideline-directed medical therapies, and associated outcomes among hospitalized heart failure patients

Aims

Multimorbidity is common among heart failure (HF) patients and may attenuate guideline‐directed medical therapy (GDMT). Multimorbid patients are under‐represented in clinical trials; therefore, the effect of multimorbidity clustering on the prognosis of HF patients remains unknown. We evaluated the prevalence of multimorbidity clusters among consecutively registered hospitalized HF patients and assessed whether GDMT attenuated outcomes.

Methods and results

We examined 1924 hospitalized HF patients with reduced left ventricular ejection fraction (<50%) in a multicentre registry (West Tokyo HF Registry: WET‐HF). Ten comorbid conditions in the WET‐HF were abstracted: coronary artery disease, atrial fibrillation, stroke, anaemia, chronic obstructive pulmonary disease, renal dysfunction, obesity, hypertension, dyslipidaemia, and diabetes. Patients were divided into three groups (0–2: n = 451; 3–4: n = 787; and ≥5: n = 686) based on the number of comorbid conditions. The primary composite endpoint was all‐cause mortality and HF rehospitalization. The most prevalent comorbidities were renal dysfunction (67.9%), hypertension (66.0%), and anaemia (53.8%). Increased comorbidity was associated with increased adverse outcomes [3–4: hazard ratio (HR) 1.42, 95% confidence interval (CI) 1.13–1.77, P = 0.003; ≥5: HR 2.12, 95%CI 1.69–2.65, P < 0.001; and reference: 0–2] and lower GDMT prescription rate (0–2: 69.2%; 3–4: 57.7%; and ≥5: 57.6%). GDMT was associated with decreased adverse outcomes; this association was maintained even as the comorbidity burden increased but tended to weaken (0–2: HR 0.53, 95%CI 0.35–0.78; P = 0.001; 3–4: HR 0.82, 95%CI 0.65–1.04, P = 0.095; and ≥5: HR 0.81, 95%CI 0.65–1.00, P = 0.053; P for interaction = 0.156).

Conclusions

Comorbidity clusters were prevalent and associated with poorer outcomes. GDMT remained beneficial regardless of the comorbidity burden but tended to weaken with increasing comorbidity burden. Further research is required to optimize medical care in these patients.

2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines

AIM

The "2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure" replaces the "2013 ACCF/AHA Guideline for the Management of Heart Failure" and the "2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure." The 2022 guideline is intended to provide patient-centric recommendations for clinicians to prevent, diagnose, and manage patients with heart failure.

METHODS

A comprehensive literature search was conducted from May 2020 to December 2020, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (PubMed), EMBASE, the Cochrane Collaboration, the Agency for Healthcare Research and Quality, and other relevant databases. Additional relevant clinical trials and research studies, published through September 2021, were also considered. This guideline was harmonized with other American Heart Association/American College of Cardiology guidelines published through December 2021. Structure: Heart failure remains a leading cause of morbidity and mortality globally. The 2022 heart failure guideline provides recommendations based on contemporary evidence for the treatment of these patients. The recommendations present an evidence-based approach to managing patients with heart failure, with the intent to improve quality of care and align with patients' interests. Many recommendations from the earlier heart failure guidelines have been updated with new evidence, and new recommendations have been created when supported by published data. Value statements are provided for certain treatments with high-quality published economic analyses.

2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure

AIM

The "2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure" replaces the "2013 ACCF/AHA Guideline for the Management of Heart Failure" and the "2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure." The 2022 guideline is intended to provide patient-centric recommendations for clinicians to prevent, diagnose, and manage patients with heart failure.

METHODS

A comprehensive literature search was conducted from May 2020 to December 2020, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (PubMed), EMBASE, the Cochrane Collaboration, the Agency for Healthcare Research and Quality, and other relevant databases. Additional relevant clinical trials and research studies, published through September 2021, were also considered. This guideline was harmonized with other American Heart Association/American College of Cardiology guidelines published through December 2021.

STRUCTURE

Heart failure remains a leading cause of morbidity and mortality globally. The 2022 heart failure guideline provides recommendations based on contemporary evidence for the treatment of these patients. The recommendations present an evidence-based approach to managing patients with heart failure, with the intent to improve quality of care and align with patients' interests. Many recommendations from the earlier heart failure guidelines have been updated with new evidence, and new recommendations have been created when supported by published data. Value statements are provided for certain treatments with high-quality published economic analyses.

Polypharmacy definition and prevalence in heart failure: a systematic review

Polypharmacy and heart failure are becoming increasingly common due to an ageing population and the rise of multimorbidity. Treating heart failure necessitates prescribing of multiple medications, in-line with national and international guidelines predisposing patients to polypharmacy. This review aims to identify how polypharmacy has been defined among heart failure patients in the literature, whether a standard definition in relation to heart failure could be identified and to describe the prevalence. The Healthcare Database Advanced Search (HDAS) was used to search EMBASE, MEDLINE, PubMed, Cinahl and PsychInfo from inception until March 2021. Articles were included of any design, in patients ≥ 18 years old, with a diagnosis of heart failure; that explicitly define and measure polypharmacy. Data were thereafter extracted and described using a narrative synthesis approach. A total of 7522 articles were identified with 22 meeting the inclusion criteria. No standard definition of polypharmacy was identified. The most common definition was that of " ≥ 5 medications." Polypharmacy prevalence was high in heart failure populations, ranging from 17.2 to 99%. Missing or heterogeneous methods for defining heart failure and poor patient cohort characterisation limited the impact of most studies. Polypharmacy, most commonly defined as ≥ 5 medications, is highly prevalent in the heart failure population. There is a need for an internationally agreed definition of polypharmacy, allowing accurate review of polypharmacy issues. Whether an arbitrary numerical cut-off is a suitable definition, rather than medication appropriateness, remains unclear. Further studies are necessary to understand the relationship between polypharmacy with specific types of heart failure and related comorbidities.

The Prognostic Value of Anemia in Patients with Preserved, Mildly Reduced and Recovered Ejection Fraction

Data on the relevance of anemia in heart failure (HF) patients with an ejection fraction (EF) > 40% by subgroup-preserved (HFpEF), mildly reduced (HFmrEF) and the newly defined recovered EF (HFrecEF)-are scarce. Patients with HF symptoms, elevated NT-proBNP, EF ≥ 40% and structural abnormalities were registered in the HFpEF-HFmrEF database. We described the outcome of our HFpEF-HFmrEF cohort by the presence of anemia. Additionally, HFrecEF patients were also selected from HFrEF patients who underwent resynchronization and, as responders, reached 40% EF. Using propensity score matching (PSM), 75 pairs from the HFpEF-HFmrEF and HFrecEF groups were matched by their clinical features. After PMS, we compared the survival of the HFpEF-HFmrEF and HFrecEF groups. Log-rank, uni-and multivariate regression analyses were performed. From 375 HFpEF-HFmrEF patients, 42 (11%) died during the median follow-up time of 1.4 years. Anemia (HR 2.77; 95%CI 1.47-5.23; p < 0.01) was one of the strongest mortality predictors, which was also confirmed by the multivariate analysis (aHR 2.33; 95%CI 1.21-4.52; p = 0.01). Through PSM, the outcomes for HFpEF-HFmrEF and HFrecEF patients with anemia were poor, exhibiting no significant difference. In HFpEF-HFmrEF, anemia was an independent mortality predictor. Its presence multiplied the mortality risk in those with EF ≥ 40%, regardless of HF etiology.

Association of Bipolar Disorder With Major Adverse Cardiovascular Events: A Population-Based Historical Cohort Study

OBJECTIVE

This study aimed to assess the association of bipolar disorder (BD) with risk of major adverse cardiac events (MACEs) after adjusting for established cardiovascular disease (CVD) risk factors.

METHODS

We conducted a population-based historical cohort study using the Rochester Epidemiology Project. Patients older than 30 years with a clinical encounter from 1998 to 2000 with no prior MACE, atrial fibrillation, or heart failure were followed up through March 1, 2016. BD diagnosis was validated by chart review. Cox proportional hazards regression models were adjusted for established CVD risk factors, alcohol use disorder, other substance use disorders (SUDs), and major depressive disorder (MDD).

RESULTS

The cohort included 288 individuals with BD (0.81%) and 35,326 individuals without BD as the reference group (Ref). Median (interquartile range) follow-up was 16.5 (14.6-17.5) years. A total of 5636 MACE events occurred (BD, 59; Ref, 5577). Survival analysis showed an association between BD and MACE (median event-free-survival rates: BD, 0.80; Ref, 0.86; log-rank p = .018). Multivariate regression adjusting for age and sex also yielded an association between BD and MACE (hazard ratio [HR] = 1.93; 95% confidence interval [CI] = 1.43-2.52; p < .001). The association remained significant after further adjusting for smoking, diabetes mellitus, hypertension, high-density lipoprotein cholesterol, and body mass index (HR = 1.66; 95% CI = 1.17-2.28; p = .006), and for alcohol use disorder, SUD, and MDD (HR = 1.56; 95% CI = 1.09-2.14; p = .010).

CONCLUSIONS

In this study, BD was associated with an increased risk of MACE, which persisted after adjusting for established CVD risk factors, SUDs, and MDD. These results suggest that BD is an independent risk factor for major clinical cardiac disease outcomes.

Cost and Value in Contemporary Heart Failure Clinical Guidance Documents

OBJECTIVES

This study sought to evaluate the frequency and nature of cost/value statements in contemporary heart failure (HF) clinical guidance documents (CGDs).

BACKGROUND

In an era of rising health care costs and expanding therapeutic options, there is an increasing need for formal consideration of cost and value in the development of HF CGDs.

METHODS

HF CGDs published by major professional cardiovascular organizations between January 2010 and February 2021 were reviewed for the inclusion of cost/value statements.

RESULTS

Overall, 33 documents were identified, including 5 (15%) appropriate use criteria, 7 (21%) clinical practice guidelines, and 21 (64%) expert consensus documents. Most CGDs (27 of 33; 82%) included at least 1 cost/value statement, and 20 (61%) CGDs included at least 1 cost/value-related citation. Most of these statements were found in expert consensus documents (77.7%). Three (9%) documents reported estimated costs of recommended interventions, but only 1 estimated out-of-pocket cost. Of 179 cost/value-related statements observed, 116 (64.8%) highlighted the economic impact of HF or HF-related care, 6 (3.4%) advocated for cost/value issues, 15 (8.4%) reported gaps in cost/value evidence, and 42 (23.5%) supported clinical guidance recommendations. Over time, patterns of inclusion of statements and citations of cost/value have been largely stable.

CONCLUSIONS

Although most contemporary HF CGDs contain at least 1 cost/value statement, most CGDs focus on the high economic impact of HF and its related care; explicit inclusion of cost/value to support clinical guidance recommendations remains infrequent. These results highlight key opportunities for the integration of formalized cost/value considerations in future HF-focused CGDs.

Cognitive decline and risk of dementia in individuals with heart failure: A systematic review and meta-analysis

AIM

To determine the association between heart failure (HF) and cognitive change and dementia.

METHODS AND RESULTS

Systematic search of three electronic databases was performed and 29 eligible studies involving approximately 3 million participants were identified. Twelve studies examined dementia and 20 cognitive change, but only a subset of studies could be included in the meta-analysis. These findings indicated that HF was not significantly associated with dementia (n=8, hazard ratio [HR] 1.18, 95% confidence interval [CI] [0.93, 1.50]), but increased the risk of cognitive impairment (n=3, HR 1.80, 95%CI [1.14,2.86]) . Additionally, HF was associated with poorer mean cognitive performance in global cognition (Hedges' g -0.73, 95%CI [-1.12, -0.35]), memory (Hedges' g -0.57, 95%CI [-0.72, -0.42]), executive function (Hedges' g -0.58, 95%CI [-0.72, -0.43]), attention/speed (Hedges' g -0.50, 95%CI [-0.63, -0.37]) and language (Hedges' g -0.61, 95%CI [-1.05, -0.17]).

CONCLUSION

Patients with HF perform worse on all cognitive tests, and have an increased risk of cognitive impairment. These findings highlight the need for clinicians to consider cognition as part of routine care for patients with HF.

Heart failure with preserved, mid-range, and reduced ejection fraction across health care settings: an observational study

AIMS

This study aimed to assess the sex-specific distribution of heart failure (HF) with preserved, mid-range, and reduced ejection fraction across three health care settings.

METHODS AND RESULTS

In this descriptive observational study, we retrieved the distribution of HF types [with reduced ejection fraction (HFrEF), mid-range ejection fraction (HFmrEF), and preserved ejection fraction (HFpEF)] for men and women between 65 and 79 years of age in three health care settings from a single country: (i) patients with screening-detected HF in the high-risk community (i.e. those with shortness of breath, frailty, diabetes mellitus, and chronic obstructive pulmonary disease) from four screening studies, (ii) patients with confirmed HF from primary care derived from a single observational study, and (iii) patients with confirmed HF from outpatient cardiology clinics participating in a registry. Among 1407 patients from the high-risk community, 288 had screen-detected HF (15% HFrEF, 12% HFmrEF, 74% HFpEF), and 51% of the screen-detected HF patients were women. In both women (82%) and men (65%), HFpEF was the most prevalent HF type. In the routine general practice population (30 practices, 70 000 individuals), among the 160 confirmed HF cases, 35% had HFrEF, 23% HFmrEF, and 43% HFpEF, and in total, 43% were women. In women, HFpEF was the most prevalent HF type (52%), while in men, this was HFrEF (41%). In outpatient cardiology clinics (n = 34), of the 4742 HF patients (66% HFrEF, 15% HFmrEF, 20% HFpEF), 36% were women. In both women (56%) and men (71%), HFrEF was the most prevalent HF type.

CONCLUSIONS

Both HF types and sex distribution vary considerably in HF patients of 65-79 years of age among health care settings. From the high-risk community through to general practice to the cardiology outpatient setting, there is a shift in HF type from HFpEF to HFrEF and a decrease in the proportion of HF patients that are women.

Heart Failure and Disability in Community-Dwelling Older Adults in the United States-1999 to 2018: Data From National Health and Nutrition Examination Survey

To examine the associations of heart failure (HF) with five domains of disability while controlling for covariates. Subjects with HF and aged ≥ 50 years were selected from the 1999 to 2018 National Health and Nutrition Examination Survey data. Five domains of disability were measured with 19 physical tasks. Logistic regression with adjustment for covariates was conducted. The prevalence of HF in 27,185 adults aged ≥ 50 years was 6.37%. After controlling for demographics and smoking, logistic regression showed that HF was associated with 2.8 to 3.4 times increased odds of all domains of disability compared to adults without HF, but with additional adjustments of covariates, the association was attenuated indicating the mediating effects of covariates. The future study may examine the mediating effects of covariates when intervening difficulties with lower extremity mobility and activities of daily living while considering in community-dwelling older adults with HF.

Additional burden of iron deficiency in heart failure patients beyond the cardio-renal anaemia syndrome: findings from the BIOSTAT-CHF study

Aims

Whereas the combination of anaemia and chronic kidney disease (CKD) has been extensively studied in patients with heart failure (HF), the contribution of iron deficiency (ID) to this dysfunctional interplay is unknown. We aimed to assess clinical associates and pathophysiological pathways related to ID in this multimorbid syndrome.

Methods and results

We studied 2151 patients with HF from the BIOSTAT‐CHF cohort. Patients were stratified based on ID (transferrin saturation <20%), anaemia (World Health Organization definition) and/or CKD (estimated glomerular filtration rate <60 ml/min/1.73 m²). Patients were mainly men (73.3%), with a median age of 70.5 (interquartile range 61.4–78.1). ID was more prevalent than CKD and anaemia (63.3%, 47.2% and 35.6% respectively), with highest prevalence in those with concomitant CKD and anaemia (77.5% vs. 59.3%; p < 0.001). There was a considerable overlap in biomarkers and pathways between patients with isolated ID, anaemia or CKD, or in combination, with processes related to immunity, inflammation, cell survival and cancer amongst the common pathways. Key biomarkers shared between syndromes with ID included transferrin receptor, interleukin‐6, fibroblast growth factor‐23, and bone morphogenetic protein 6. Having ID, either alone or on top of anaemia and/or CKD, was associated with a lower overall summary Kansas City Cardiomyopathy Questionnaire score, an impaired 6‐min walk test and increased incidence of hospitalizations and/or mortality in multivariable analyses (all p < 0.05).

Conclusion

Iron deficiency, CKD and/or anaemia in patients with HF have great overlap in biomarker profiles, suggesting common pathways associated with these syndromes. ID either alone or on top of CKD and anaemia is associated with worse quality of life, exercise capacity and prognosis of patients with worsening HF.

Sex-specific associations of body composition measures with cardiac function and structure after 8 years of follow-up

We investigated the prospective associations of body composition with cardiac structure and function and explored effect modification by sex and whether inflammation was a mediator in these associations. Total body (BF), trunk (TF) and leg fat (LF), and total lean mass (LM) were measured at baseline by a whole body DXA scan. Inflammatory biomarkers and echocardiographic measures were determined both at baseline and follow-up in the Hoorn Study (n = 321). We performed linear regression analyses with body composition measures as determinant and left ventricular ejection fraction (LVEF), left ventricular mass index (LVMI) or left atrial volume index (LAVI) at follow-up as outcome. Additionally, we performed mediation analysis using inflammation at follow-up as mediator. The study population was 67.7 ± 5.2 years and 50% were female. After adjustment, BF, TF and LF, and LM were associated with LVMI with regression coefficients of 2.9 (0.8; 5.1)g/m^2.7, 2.3 (0.6; 4.0)g/m^2.7, 2.0 (0.04; 4.0)g/m^2.7 and − 2.9 (− 5.1; − 0.7)g/m^2.7. Body composition measures were not associated with LVEF or LAVI. These associations were not modified by sex or mediated by inflammation. Body composition could play a role in the pathophysiology of LV hypertrophy. Future research should focus on sex differences in regional adiposity in relation with diastolic dysfunction.