Risk factors for heart failure in the elderly: a prospective community-based study

A systematic review and meta-analysis of mortality in chronic Chagas cardiomyopathy versus other cardiomyopathies: higher risk or fiction?

INTRODUCTION AND OBJECTIVES

Although multiple studies suggest that chronic Chagas cardiomyopathy (CCC) has higher mortality than other cardiomyopathies, the absence of meta-analyses supporting this perspective limits the possibility of generating robust conclusions. The aim of this study was to systematically evaluate the current evidence on mortality risk in CCC compared with that of other cardiomyopathies.

METHODS

PubMed/Medline and EMBASE were searched for studies comparing mortality risk between patients with CCC and those with other cardiomyopathies, including in the latter nonischemic cardiomyopathy (NICM), ischemic cardiomyopathy, and non-Chagas cardiomyopathy (nonCC). A random-effects meta-analysis was performed to combine the effects of the evaluated studies.

RESULTS

A total of 37 studies evaluating 17 949 patients were included. Patients with CCC had a significantly higher mortality risk compared with patients with NICM (HR, 2.04; 95%CI, 1.60-2.60; I2, 47%; 8 studies) and non-CC (HR, 2.26; 95%CI, 1.65-3.10; I2, 71%; 11 studies), while no significant association was observed compared with patients with ischemic cardiomyopathy (HR, 1.72; 95%CI, 0.80-3.66; I2, 69%; 4 studies) in the adjusted-measures meta-analysis.

CONCLUSIONS

Patients with CCC have an almost 2-fold increased mortality risk compared with individuals with heart failure secondary to other etiologies. This finding highlights the need for effective public policies and targeted research initiatives to optimally address the challenges of CCC.

Empagliflozin to elderly and obese patients with increased risk of developing heart failure: Study protocol for the Empire Prevent trial program

INTRODUCTION

Sodium-glucose cotransporter 2 (SGLT2) inhibitors have previously demonstrated cardioprotective properties in patients with type 2 diabetes, suggesting a preventive effect on heart failure (HF). The Empire Prevent trial program investigates the therapeutic potential for HF prevention by evaluating the cardiac, metabolic, and renal effects of the SGLT2 inhibitor empagliflozin in patients with increased risk of developing HF, but without diabetes or established HF.

METHODS

The Empire Prevent trial program is an investigator-initiated, double-blind, randomized clinical trial program including elderly and obese patients (60-84 years, body mass index >28 kg/m2) with at least one manifestation of hypertension, cardiovascular or chronic kidney disease, but no history of diabetes or HF. The aims are to investigate the effects of empagliflozin on 1) physical capacity and left ventricular and atrial structural changes with peak oxygen consumption and left ventricular mass as primary endpoints (Empire Prevent Cardiac), and 2) cardiac-adipose tissue interaction and volume homeostasis with primary endpoints of changes in epicardial adipose tissue and estimated extracellular volume (Empire Prevent Metabolic). At present, 138 of 204 patients have been randomized in the Empire Prevent trial program. Patients are randomized 1:1 to 180 days treatment with empagliflozin 10 mg daily or placebo, while undergoing a comprehensive examination program at baseline and follow-up.

DISCUSSION

The Empire Prevent trial program will mark the first step towards elucidating the potential of SGLT2 inhibition for HF prevention in an outpatient setting in elderly and obese patients with increased risk of developing HF, but with no history of diabetes or established HF. Furthermore, the Empire Prevent trial program will supplement the larger event-driven trials by providing mechanistic insights to the beneficial effects of SGLT2 inhibition.

TRIAL REGISTRATION

Both parts of the trial program have been registered on September 13th 2021 (Clinical Trial Registration numbers: NCT05084235 and NCT05042973) before enrollment of the first patient. All patients will provide oral and written informed consent. The trial is approved by The Regional Committee on Health Research Ethics and the Danish Medicines Agency. Data will be disseminated through scientific meetings and peer-reviewed journals irrespective of outcome.

Incidence of atrial and ventricular arrhythmias in obese patients with heart failure with reduced ejection fraction treated with sacubitril/valsartan

AIM

To compare clinical outcomes among patients with heart failure and reduced ejection fraction (HFrEF) according to body mass index (BMI) after initiating treatment with an angiotensin-receptor neprilysin inhibitor (ARNI).

METHODS

We gathered data from 2016 to 2020 at the University Medical Center Mannheim; 208 consecutive patients were divided into two groups according to BMI (< 30 kg/m2 ; n = 116, ≥ 30 kg/m2 ; n = 92). Clinical outcomes, including mortality rate, all-cause hospitalizations and congestion, were systematically analysed.

RESULTS

At the 12-month follow-up, the mortality rate was similar in both groups (7.9% in BMI < 30 kg/m2 vs. 5.6% in BMI ≥ 30 kg/m2 ; P = .76). All-cause hospitalization before ARNI treatment was comparable in both groups (63.8% in BMI < 30 kg/m2 vs. 57.6% in BMI ≥ 30 kg/m2 ; P = .69). After ARNI treatment, the hospitalization rate was also comparable in both groups at the 12-month follow-up (52.2% in BMI < 30 kg/m2 vs. 53.7% in BMI ≥ 30 kg/m2 ; P = .73). Obese patients experienced more congestion compared with non-obese patients at follow-up, without statistical significance (6.8% in BMI < 30 kg/m2 vs. 15.5% in BMI ≥ 30 kg/m2 ; P = .11). Median left ventricular ejection fraction (LVEF) improved in both groups, but significantly more in non-obese compared with obese patients at the 12-month follow-up (from 26% [3%-45%] [min.-max.] vs. 29% [10%-45%] [min.-max.] [P = .56] to 35.5% [15%-59%] [min.-max.] vs. 30% [13%-50%] [min.-max.] [P = .03], respectively). The incidence of atrial fibrillation (AF), non-sustained (ns) and sustained ventricular tachycardia (VT) and ventricular fibrillation (VF) was less in non-obese than in obese patients after initiation of sacubitril/valsartan at the 12-month follow-up (AF: 43.5% vs. 53.7%; P = .20; nsVT: 9.8% vs. 28.4%; P = .01; VT: 14.1% vs. 17.9%; P = .52; VF: 7.6% vs. 13.4%; P = .23).

CONCLUSIONS

The incidence of congestion in obese patients was higher compared with non-obese patients. LVEF improved significantly more in non-obese compared with obese HFrEF patients. Furthermore, AF and the ventricular tachyarrhythmia rate were revealed more in obesity compared with those without obesity at the 12-month follow-up.

Body Composition and Risk of Incident Heart Failure in 1 Million Adults: A Systematic Review and Dose-Response Meta-Analysis of Prospective Cohort Studies

Background The aim of this systematic review was to quantify the associations between body composition measures and risk of incident heart failure (HF) and its subtypes in the general population. Methods and Results We searched Medline, Embase, and Global Health databases from each database inception to January 19, 2023 for prospective studies reporting on body composition and HF risk. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The Newcastle-Ottawa scale was used to assess the risk of bias of included studies. Fixed-effects models were used for meta-analysis. Thirty-five studies were included (ntotal=1 137 044; ncases=34 422). Summary relative risk (RR) per 5-kg/m2 higher body mass index was 1.42 (95% CI, 1.40-1.42; 𝜁2=0.02, I2=94.4%), 1.28 (95% CI, 1.26-1.31; 𝜁2=0.01, I2=75.8%) per 10-cm higher waist circumference, and 1.33 (95% CI, 1.28-1.37; 𝜁2=0.04, I2=94.9%) per 0.1-unit higher waist-hip ratio. Pooled estimates of the few studies that reported on regional fat suggested significant positive association between HF risk and both visceral fat (RR, 1.08 [95% CI, 1.04-1.12]) and pericardial fat (RR, 1.08 [95% CI, 1.06-1.10]). Among HF subtypes, associations were stronger for HF with preserved ejection fraction than HF with reduced ejection fraction. No study reported on lean mass. Conclusions Pooled data suggested strong associations between adiposity and HF. The association with adiposity is stronger for HF with preserved ejection fraction than HF with reduced ejection fraction, indicating that different mechanisms may be at play in etiopathogenesis of HF subtypes. Future studies are needed to investigate role of regional fat mass and lean mass in HF risk. Registration Information REGISTRATION: URL: www.crd.york.ac.uk/prospero/. Unique identifier: CRD42020224584.

Depression is associated with heart failure in patients with type 2 diabetes mellitus

Background

Type 2 diabetes mellitus (T2DM) is associated with an increased risk of heart failure (HF). Depression, a common comorbidity of T2DM, may further increase the risk of heart failure (HF). We investigated the association between depression and incident HF in patients with T2DM.

Methods and results

Depressive symptoms were assessed in the ACCORD Health-Related Quality of Life study participants at baseline, 12, 36, and 48 months using the nine-item Patient Health Questionnaire (PHQ-9). The severity of depressive symptoms was categorized as none (0-4 points), mild (5-9 points), or moderate-severe (10-24 points). Cox regression with PHQ-9 as a time-dependent covariate was used to assess the association between depression and incident HF. During the median follow-up of 8.1 years, 104 participants developed HF (incidence: 7.1/1,000 person-years). Half of the participants with moderate-severe depression were relieved and a significant percentage of participants without depression or with mild depression worsened to mild or moderate-severe depression during the follow-up period, respectively. Each unit increase in the PHQ-9 score was associated with a 5% higher risk of HF (hazard ratio [HR]:1.05, 95% confidence interval [CI]: 1.01-1.10). Patients with depression ever (HR: 2.23, 95% CI: 1.25-3.98) or persistent depression (HR: 2.13, 95% CI: 1.05-4.44) had a higher risk of HF than those without depression ever.

Conclusion

Depressive symptoms change greatly in T2DM patients, depressive symptoms are an independent risk factor for HF. These results reinforce the importance of continuous evaluation and management of mental health status in T2DM patients with high HF risk.

Medical therapies for prevention of cardiovascular and renal events in patients with atrial fibrillation and diabetes mellitus

Atrial fibrillation (AF), type 2 diabetes mellitus (DM), and chronic kidney disease (CKD) are three global epidemics with significant effects on morbidity and mortality. Diabetes is a risk factor for AF, and a risk factor for thromboembolism, comorbidity, and mortality when AF is present. The pathophysiology of diabetes-related AF and interrelationships with cardiovascular events and renal events is not fully understood but is in part related to structural, electrical, electromechanical, and autonomic remodelling. The current practice guidelines offer limited recommendations on the management of patients with AF (or risk of AF) and diabetes with its own heterogeneity for the prevention of cardiovascular and renal events. This document discusses possible clinical approaches for these patients. In the last decade, there have been major improvements for the prevention of stroke in AF patients with direct oral anticoagulants, which are preferable to vitamin K antagonists for stroke prevention in DM. Because of the increased risk rate for several cardiovascular adverse events in diabetic patients, a similar relative risk reduction generally translates into greater absolute risk reduction in the diabetic population. Recent trials with non-insulin diabetes drugs using glucagon-like peptide-1 agonists and sodium-glucose cotransporter-2 inhibitors showed a significant reduction for the risk of major adverse cardiovascular events in patients with type 2 DM. Sodium-glucose cotransporter-2 inhibitors also showed a large reduction in hospitalization for heart failure and renal events, which need to be more completely evaluated in patients with AF. Mechanisms, risks, and optimal management of AF patients with DM who have or are under risk of developing heart failure or CKD are also discussed in this document. The benefits of medical therapies for these patients still need to be put into perspective, and gaps in evidence on some of these issues are likely to be addressed in future years.

Xbp1s-FoxO1 axis governs lipid accumulation and contractile performance in heart failure with preserved ejection fraction

Heart failure with preserved ejection fraction (HFpEF) is now the dominant form of heart failure and one for which no efficacious therapies exist. Obesity and lipid mishandling greatly contribute to HFpEF. However, molecular mechanism(s) governing metabolic alterations and perturbations in lipid homeostasis in HFpEF are largely unknown. Here, we report that cardiomyocyte steatosis in HFpEF is coupled with increases in the activity of the transcription factor FoxO1 (Forkhead box protein O1). FoxO1 depletion, as well as over-expression of the Xbp1s (spliced form of the X-box-binding protein 1) arm of the UPR (unfolded protein response) in cardiomyocytes each ameliorates the HFpEF phenotype in mice and reduces myocardial lipid accumulation. Mechanistically, forced expression of Xbp1s in cardiomyocytes triggers ubiquitination and proteasomal degradation of FoxO1 which occurs, in large part, through activation of the E3 ubiquitin ligase STUB1 (STIP1 homology and U-box-containing protein 1) a novel and direct transcriptional target of Xbp1s. Our findings uncover the Xbp1s-FoxO1 axis as a pivotal mechanism in the pathogenesis of cardiometabolic HFpEF and unveil previously unrecognized mechanisms whereby the UPR governs metabolic alterations in cardiomyocytes.

Hemodynamic Effects of Sacubitril-Valsartan Versus Enalapril in Patients With Heart Failure in the EVALUATE-HF Study: Effect Modification by Left Ventricular Ejection Fraction and Sex

BACKGROUND

Treatment with sacubitril-valsartan reduces mortality and heart failure (HF) events in HF with reduced ejection fraction and may reduce HF hospitalization in women with HF with preserved ejection fraction.

METHODS

EVALUATE-HF randomized 464 participants (109 women) with HF with reduced ejection fraction to sacubitril-valsartan or enalapril for 12 weeks. Documented left ventricular ejection fraction (LVEF) ≤0.40 within the prior 12 months was required, although core laboratory LVEF>0.40 was permitted. Assessments of aortic stiffness (pulse pressure and characteristic impedance, Z_c) were performed at baseline and at trough and 4 hours postdose at weeks 4 and 12.

RESULTS

In models of change from baseline adjusted for baseline value, treatment with sacubitril-valsartan produced greater overall reductions in mean arterial pressure (treatment group difference, -3.0±0.8 mm Hg, P<0.001) and pulse pressure (-3.0±0.8 mm Hg, P<0.001). Postdose reductions in Z_c were greater in the sacubitril-valsartan group (-16±6 dyne×second/cm⁵, P=0.012). Post hoc analyses found evidence of effect modification by LVEF (interaction P=0.036). With LVEF<0.40, postdose reductions in Z_c were greater in the sacubitril-valsartan group (trough, -3±8 dyne×second/cm⁵ versus post-dose, -17±8 dyne×second/cm⁵; interaction P=0.024) with no sex difference (treatment×sex interaction, P=0.3). With LVEF≥0.40, treatment with sacubitril-valsartan was associated with greater overall reductions in Z_c in women (women, -80±21 dyne×second/cm⁵ versus men, -20±13 dyne×second/cm⁵; interaction P=0.019).

CONCLUSIONS

In prespecified analyses that include pre- and postdose assessments at 4 and 12 weeks, treatment with sacubitril-valsartan was associated with greater postdose reductions in aortic Z_c. In a post hoc analysis, sacubitril-valsartan was associated with sustained reductions in Z_c in women with LVEF≥0.40. Registration: URL: https://www.clinicaltrials.gov; Unique Identifier: NCT02874794.

Bi-directional association between depression and HF: An electronic health records-based cohort study

Objective:

To determine whether a bi-directional relationship exists between depression and HF within a single population of individuals receiving primary care services, using longitudinal electronic health records (EHRs).

Methods:

This retrospective cohort study utilized EHRs for adults who received primary care services within a large healthcare system in 2006. Validated EHR-based algorithms identified 10,649 people with depression (depression cohort) and 5,911 people with HF (HF cohort) between January 1, 2006 and December 31, 2018. Each person with depression or HF was matched 1:1 with an unaffected referent on age, sex, and outpatient service use. Each cohort (with their matched referents) was followed up electronically to identify newly diagnosed HF (in the depression cohort) and depression (in the HF cohort) that occurred after the index diagnosis of depression or HF, respectively. The risks of these outcomes were compared (vs. referents) using marginal Cox proportional hazard models adjusted for 16 comorbid chronic conditions.

Results:

2,024 occurrences of newly diagnosed HF were observed in the depression cohort and 944 occurrences of newly diagnosed depression were observed in the HF cohort over approximately 4–6 years of follow-up. People with depression had significantly increased risk for developing newly diagnosed HF (HR 2.08, 95% CI 1.89–2.28) and people with HF had a significantly increased risk of newly diagnosed depression (HR 1.34, 95% CI 1.17–1.54) after adjusting for all 16 comorbid chronic conditions.

Conclusion:

These results provide evidence of a bi-directional relationship between depression and HF independently of age, sex, and multimorbidity from chronic illnesses.

[Diagnosis, Prevention and Treatment of Cardiovascular Disease in People with Diabetes and Prediabetes]

Diagnosis, Prevention and Treatment of Cardiovascular Disease in People with Diabetes and Prediabetes Abstract. Diabetes is associated with an increased cardiovascular risk. In addition to optimizing glycemia, timely diagnosis and stringent control of cardiovascular risk factors is essential for individuals with diabetes. Therapeutic options include lifestyle-optimization, individualized drug therapy and targeted treatment of concomitant or secondary cardiovascular disease. Cardiovascular disease occurs more often in individuals with diabetes and includes heart failure, atrial fibrillation, coronary heart disease and sudden cardiac death. The correct choice of antidiabetic drugs and interventions can control cardiovascular risk factors, reduce cardiovascular risk and treat concomitant or secondary diseases in a targeted manner. This review is intended to provide guidance on diagnosis, treatment and choice of therapy for individuals with type 2 diabetes without and with concomitant or secondary cardiovascular disease.

How Diabetes and Heart Failure Modulate Each Other and Condition Management

Heart failure (HF) and diabetes mellitus (DM) confer considerable burden on the health care system. Although these often occur together, DM can increase risk of HF, whereas HF can accelerate complications of DM. HF is a clinical syndrome resulting from systolic or diastolic impairment caused by ischemic, nonischemic (eg, DM), or other etiologies. HF exists along a spectrum from stage A (ie, persons at risk of DM) to stage D (ie, refractory HF from end-stage DM cardiomyopathy [DMCM]). HF is further categorized by reduced, midrange, and preserved ejection fraction (EF). In type 2 DM, the most prevalent form of DM, several pathophysiological mechanisms (eg, insulin resistance and hyperglycemia) can contribute to myocardial damage, leading to DMCM. Management of HF and DM and patient outcomes are guided by EF and drug efficacy. In this review, we focus on the interplay between HF and DM on disease pathophysiology, management, and patient outcomes. Specifically, we highlight the role of novel antihyperglycemic (eg, sodium glucose cotransporter 2 inhibitors) and HF therapies (eg, renin-angiotensin-aldosterone system inhibitors) on HF outcomes in patients with DM and HF.

Depression as a Risk Factor for Developing Heart Failure: A Meta-Analysis of Prospective Cohort Studies

BACKGROUND

The associations of depression with incident heart failure (HF) risk based on epidemiological studies have been inconsistent.

OBJECTIVE

We aimed to quantitatively estimate the relative effect of depression on the development of HF.

METHODS

We performed a systematic review and meta-analysis of cohort studies published between January 1, 1950, and August 31, 2019, from PubMed, Embase, and the Science Citation Index databases. We selected prospective cohort studies reporting the relationship between depression and incident HF. Maximally adjusted hazard ratios and their 95% confidence intervals were combined using a random-effects model. The heterogeneity across studies was calculated by the I statistic. This meta-analysis was registered in PROSPERO (number CRD42020149274).

RESULTS

Six population-based, prospective cohort studies with 4727 HF events among 131 282 participants were eligible for meta-analysis. Compared with participants reporting no depression, those with depression had a 23% increased risk of developing HF (pooled hazard ratio, 1.23; 95% confidence interval, 1.08-1.41). There was no significant heterogeneity across studies (χ = 7.75, df = 5, P = .17, I = 35.5%).

CONCLUSION

Published literature supports a significant association of depression with an increased incidence of HF in the general population.

Cardiovascular Effects of Hypoglycemic Agents in Diabetes Mellitus

BACKGROUND

Despite substantial improvements over the years, diabetes mellitus is still associated with cardiovascular disease, heart failure, and excess mortality.

OBJECTIVE

The objective of this article is to examine existing data on the reduction of cardiovascular morbidity and mortality in diabetes. Control of glycemia, lipid levels, and blood pressure are described in brief. The main scope of this article is, however, to review the glucose-independent cardiovascular effect of antidiabetic pharmacological agents (mainly other than insulin).

METHODS

The article is a narrative review based on recently published reviews and meta-analyses complemented with data from individual trials, when relevant.

RESULTS AND DISCUSSION

Older data suggest a cardioprotective role of metformin (an inexpensive and safe drug); a role to date not convincingly challenged. The cardiovascular effects of thiazolidinediones, sulphonylurea, and glinides are debatable. Recent large-scale cardiovascular outcome trials suggest a neutral profile of dipeptidyl peptidase 4 inhibitors, yet provide compelling evidence of cardioprotective effects of glucagon-like 1 receptor antagonists and sodium-glucose transporter 2 inhibitors.

CONCLUSION

Metformin may have a role in primary and secondary prevention of cardiovascular disease; glucagon-like 1 receptor antagonists and sodium-glucose co-transporter 2 inhibitors play a role in secondary prevention of atherosclerotic cardiovascular disease. Sodium-glucose transporter 2 inhibitors have a role to play in both primary and secondary prevention of heart failure; yet, they carry a small risk of the potentially dangerous adverse effect, euglycemic diabetic ketoacidosis.

Diabetes mellitus and risk of new-onset and recurrent heart failure: a systematic review and meta-analysis

Despite mounting evidence of the positive relationship between diabetes mellitus (DM) and heart failure (HF), the entire context of the magnitude of risk for HF in relation to DM remains insufficiently understood. The principal reason is because new‐onset HF (HF occurring in participants without a history of HF) and recurrent HF (HF re‐occurring in patients with a history of HF) are not discriminated. This meta‐analysis aims to comprehensively and separately assess the risk of new‐onset and recurrent HF depending on the presence or absence of DM. We systematically searched cohort studies that examined the relationship between DM and new‐onset or recurrent HF using EMBASE and MEDLINE (from 1 Jan 1950 to 28 Jul 2019). The risk ratio (RR) for HF in individuals with DM compared with those without DM was pooled with a random‐effects model. Seventy‐four and 38 eligible studies presented data on RRs for new‐onset and recurrent HF, respectively. For new‐onset HF, the pooled RR [95% confidence interval (CI)] of 69 studies that examined HF as a whole [i.e. combining HF with preserved ejection fraction (HFpEF) and HF with reduced ejection fraction (HFrEF)] was 2.14 (1.96–2.34). The large between‐study heterogeneity (I² = 99.7%, P < 0.001) was significantly explained by mean age [pooled RR (95% CI) 2.60 (2.38–2.84) for mean age < 60 years vs. pooled RR (95% CI) 1.95 (1.79–2.13) for mean age ≥ 60 years] (P < 0.001). Pooled RRs (95% CI) of seven and eight studies, respectively, that separately examined HFpEF and HFrEF risk were 2.22 (2.02–2.43) for HFpEF and 2.73 (2.71–2.75) for HFrEF. The risk magnitudes between HFpEF and HFrEF were not significantly different in studies that examined both HFpEF and HFrEF risks (P = 0.86). For recurrent HF, pooled RR (95% CI) of the 38 studies was 1.39 (1.33–1.45). The large between‐study heterogeneity (I² = 80.1%, P < 0.001) was significantly explained by the proportion of men [pooled RR (95% CI) 1.53 (1.40–1.68) for < 65% men vs. 1.32 (1.25–1.39) for ≥65% men (P = 0.01)] or the large pooled RR for studies of only participants with HFpEF [pooled RR (95% CI), 1.73 (1.32–2.26) (P = 0.002)]. Results indicate that DM is a significant risk factor for both new‐onset and recurrent HF. It is suggested that the risk magnitude is large for new‐onset HF especially in young populations and for recurrent HF especially in women or individuals with HFpEF. DM is associated with future HFpEF and HFrEF to the same extent.

Risk Factors for Heart Failure with Preserved or Reduced Ejection Fraction Among Medicare Beneficiaries: Application of Competing Risks Analysis and Gradient Boosted Model

BACKGROUND

The differential impact of various demographic characteristics and comorbid conditions on development of heart failure (HF) with preserved (pEF) and reduced ejection fraction (rEF) is not well studied among the elderly.

METHODS

Using Medicare claims data linked to electronic health records, we conducted an observational cohort study of individuals ≥65 years of age without HF. A Cox proportional hazards model accounting for competing risk of HFrEF and HFpEF incidence was constructed. A gradient-boosted model (GBM) assessed the relative influence (RI) of each predictor in the development of HFrEF and HFpEF.

RESULTS

Among 138,388 included individuals, 9701 developed HF (incidence rate = 20.9 per 1000 person-years). Males were more likely to develop HFrEF than HFpEF (HR = 2.07, 95% CI: 1.81-2.37 vs. 1.11, 95% CI: 1.02-1.20, P for heterogeneity <0.01). Atrial fibrillation and pulmonary hypertension had stronger associations with the risk of HFpEF (HR = 2.02, 95% CI: 1.80-2.26 and 1.66, 95% CI: 1.23-2.22) while cardiomyopathy and myocardial infarction were more strongly associated with HFrEF (HR = 4.37, 95% CI: 3.21-5.97 and 1.94, 95% CI: 1.23-3.07). Age was the strongest predictor across all HF subtypes with RI from GBM >35%. Atrial fibrillation was the most influential comorbidity for the development of HFpEF (RI = 8.4%) while cardiomyopathy was the most influential comorbidity for the development of HFrEF (RI = 20.7%).

CONCLUSION

These findings of heterogeneous relationships between several important risk factors and heart failure types underline the potential differences in the etiology of HFpEF and HFrEF.

Risk Factors for Heart Failure in the Community: Differences by Age and Ejection Fraction

BACKGROUND

Differences in comorbid conditions in patients with heart failure compared with population controls, and whether differences exist by type of heart failure or age, have not been well documented.

METHODS

The prevalence of 17 chronic conditions were obtained in 2643 patients with incident heart failure from 2000 to 2013 and controls matched 1:1 on sex and age from Olmsted County, Minnesota. Logistic regression determined associations of each condition with heart failure.

RESULTS

Among 2643 matched pairs (mean age 76.2 years, 45.6% men), the comorbidities with the largest attributable risk of heart failure were arrhythmia (48.7%), hypertension (28.4%), and coronary artery disease (33.9%); together these explained 73.0% of heart failure. Similar associations were observed for patients with reduced and preserved ejection fraction, with the exception of hypertension. The risk of heart failure attributable to hypertension was 2-fold higher in patients with heart failure with preserved ejection fraction (38.7%) than in patients with heart failure with reduced ejection fraction (17.8%). Hypertension, coronary artery disease, arrhythmia, and diabetes were more strongly associated with heart failure in younger (≤75 years) compared to older (>75 years) persons.

CONCLUSIONS

Patients with heart failure have a higher prevalence of many chronic conditions than controls. Similar associations were observed in patients with reduced and preserved ejection fraction, with the exception of hypertension, which was more strongly associated with heart failure with preserved ejection fraction. Finally, some cardiometabolic risk factors were more strongly associated with heart failure in younger persons, highlighting the importance of optimizing prevention and treatment of risk factors and, in particular, cardiometabolic risk factors.

Incidence of heart failure among diabetic patients with ischemic heart disease: a cohort study

BACKGROUND

In population studies of heart failure (HF), diabetes has been shown to be an independent risk factor. However, the evidence evaluating diabetes mellitus (DM) as an independent risk factor in incident HF in patients with ischemic heart disease (IHD) is scarce. Our study aimed to assess the incidence of HF in diabetic IHD patients compared to non-diabetic IHD patients in Ethiopia.

METHODS

A retrospective cohort study was conducted among 306 patients with IHD followed-up at Tikur Anbessa Specialized Hospital in Addis Ababa, Ethiopia. The IHD patients who did not have HF at baseline were followed for 24 months beginning from November 30, 2015. We assessed the incidence of HF in patients with diabetic IHD versus the non-diabetic IHD. Cox proportional hazards models were used to assess the association between diabetic IHD and HF after controlling for important covariates. Hypertension was examined as a possible effect modifier as well.

RESULTS

The mean age was 56.8 years, 69% were male, and 31% were diabetic. During the 24 months follow-up period, 196 (64.1%) had incident HF. On multivariate Cox regression, DM was significantly associated with incident HF [Hazard Ratio = 2.04, 95% confidence interval (CI): 1.32-3.14, p = 0.001]. Furthermore, when the patients were stratified by hypertension (HTN), DM was associated with worse prognosis, the strongest association being in those with co-existing DM and HTN [HR = 2.57,95% CI =1.66-3.98, p <  0.0001] followed by the presence of DM without HTN [HR 2.27, 95% CI = 1.38-3.71, p = 0.001] (compared to those with neither).

CONCLUSION

DM is the strongest predictor of incident HF, compared to other traditional risk factors, in Ethiopian patients with IHD. Those with both DM and HTN are at the highest risk.

High prevalence of cardiac dysfunction or overt heart failure in 71-year-old men: A 21-year follow-up of "The Study of men born in 1943"

BACKGROUND

Knowledge about long-term risk factors and the prevalence of heart failure stages in general population is limited. We aimed to study the prevalence of cardiac dysfunction and heart failure in 71-year-old men and potential risk factors in the past two decades.

DESIGN

This research was based on a randomized selected population study with longitudinal follow-up.

METHODS

A random sample of men born in 1943 in Gothenburg, Sweden were examined in 1993 (at 50 years of age) and re-examined 21 years later in 2014 (at 71 years of age). Cardiac dysfunction or heart failure was classified into four stages (A-D) according to American Heart Association/American College of Cardiology guidelines on heart failure.

RESULTS

Of the 798 men examined in 1993 (overall cohort), 535 (67%) were re-examined in 2014 (echo cohort). In the echo cohort 122 (23%) men had normal cardiac function, 135 (25%) were at stage A, 207 (39%) men were at stage B, 66 (12%) men were at stage C, and five (1%) men were at stage D. Multivariable logistic regression demonstrated that elevated body mass index at 50 years old was the only independent risk factor for developing heart failure/cardiac dysfunction during the subsequent 21 years. For each unit (1 kg/m²) of increased body mass index, the odds ratio for stages C/D heart failure vs no heart failure/stage A increased by 1.20 (95% confidence interval, 1.11-1.31, p < 0.001), after adjustment for smoking, sedentary life style, systolic blood pressure, diabetes, and hyperlipidemia.

CONCLUSION

In a random sample of men at 71 years of age, half presented with either cardiac dysfunction or clinical heart failure. High body mass index was associated with an increased risk for developing cardiac dysfunction or heart failure over a 21-year period.

Risk of heart failure in a population with type 2 diabetes versus a population without diabetes with and without coronary heart disease

AIMS

To conduct a population-based study comparing age- and sex-specific risk estimates of heart failure (HF) between people with type 2 diabetes and people without diabetes, and to investigate the risks of HF in association with type 2 diabetes in people with various coronary heart diseases (CHDs).

MATERIALS AND METHODS

We used a nationally representative sample (one million people) selected from Taiwan's National Health Insurance (NHI) system. A total of 34 291 patients with type 2 diabetes were identified from ambulatory care claims in 2000, and the same number of age- and sex-matched controls were randomly selected from the registry of NHI beneficiaries in the same year. All study subjects were linked to inpatient claims (2000-2013) to identify the possible admissions for HF. Using a Cox proportional hazard regression model, we compared the relative hazards of HF in relation to type 2 diabetes according to various age and sex stratifications. We also compared the relative hazard of HF between type 2 diabetes and controls, with and without histories of various CHDs and coronary revascularization procedures.

RESULTS

Compared with absence of diabetes (control group), type 2 diabetes was significantly associated with an increased hazard of HF (adjusted hazard ratio [aHR] 1.47, 95% confidence interval [CI] 1.40-1.54]. In both sexes, those with type 2 diabetes aged <45 years had the highest increased hazard of HF, with an aHR of 2.54 (95% CI 1.62-3.98) and 4.12 (95% CI 2.35-7.23) for men and women, respectively. Compared with the control subjects without any CHD, people with type 2 diabetes without prior CHD had increased hazards of HF (aHR 1.54, 95% CI 1.41-1.68, in men and aHR 1.56, 95% CI 1.43-1.71, in women), which were similar to the aHRs for people without diabetes who had histories of heart diseases (aHR 1.60 and 1.55 for men and women, respectively).

CONCLUSIONS

Diabetes mellitus may increase the risk of HF in both men and women, as well as in all age groups, especially in young people. People with type 2 diabetes without CHD had a similarly increased risk of HF to that of control subjects with CHD. Certain coronary revascularization procedures and CHDs, including percutaneous transluminal coronary angiography, coronary artery bypass surgery and acute myocardial infarction, were found to greatly increase risk of HF in people with type 2 diabetes.

A reduction of BMI predicts the risk of rehospitalization and cardiac death in non-obese patients with heart failure

BACKGROUND

Low body mass index (BMI) has been associated with decreased survival in patients with heart failure (HF), although Obesity is an important risk factor for cardiovascular disease. HF patients with a relatively higher BMI tend to live longer, which is known as "Obesity Paradox". However, cardiac cachexia is another determinant of prognosis in HF patients. This study investigated whether a change in BMI is associated with either prognosis or frequency of hospitalizations in patients with HF.

METHODS

We correlated changes in BMI to prognosis and frequency of hospitalizations in patients who were hospitalized for decompensated HF. A total of 971 HF patients were initially evaluated, and 81 patients with repeat HF admissions were included.

RESULTS

The average change in BMI was -0.05 ± 0.15, -0.87 ± 0.56, -1.03 ± 0.34, and -1.97 ± 0.33 in patients who were hospitalized twice, three times, four times, and over five times, respectively. The reduction in BMI correlated with the frequency of hospitalizations (P < 0.01). We compared patients with increased BMI (group I, n = 38) versus decreased BMI (group D, n = 43) between the first and second discharge. The rate of hospitalization in group D was higher than in group I, and group D had a lower survival rate. The reduction of BMI was a significant and independent risk factor for cardiac death (HR, 4.17; 95% CI, 1.53 to 14.6).

CONCLUSIONS

Losing body weight in HF patients was a significant predictive factor of the frequency of hospitalizations and increased mortality.

Diabetes mellitus, blood glucose and the risk of atrial fibrillation: A systematic review and meta-analysis of cohort studies

BACKGROUND

Diabetes and elevated blood glucose have been associated with increased risk of atrial fibrillation in a number of epidemiological studies, however, the findings have not been entirely consistent. We conducted a systematic review and meta-analysis to clarify the association.

MATERIAL AND METHODS

We searched the PubMed and Embase databases for studies of diabetes and blood glucose and atrial fibrillation up to July 18th 2017. Cohort studies were included if they reported relative risk (RR) estimates and 95% confidence intervals (CIs) of atrial fibrillation associated with a diabetes diagnosis, prediabetes or blood glucose. Summary RRs were estimated using a random effects model.

RESULTS

Thirty four studies were included in the meta-analysis of diabetes, pre-diabetes or blood glucose and atrial fibrillation. Thirty two cohort studies (464,229 cases, >10,244,043 participants) were included in the analysis of diabetes mellitus and atrial fibrillation. The summary RR for patients with diabetes mellitus versus patients without diabetes was 1.30 (95% CIs: 1.03-1.66), however, there was extreme heterogeneity, I² = 99.9%) and evidence of publication bias with Begg's test, p < 0.0001. After excluding a very large and outlying study the summary RR was 1.28 (95% CI: 1.22-1.35, I² = 90%, n = 31, 249,772 cases, 10,244,043 participants). The heterogeneity was mainly due to differences in the size of the association between studies and the results persisted in a number of subgroup and sensitivity analyses. The summary RR was 1.20 (95% CI: 1.03-1.39, I² = 30%, n = 4, 2392 cases, 58,547 participants) for the association between prediabetes and atrial fibrillation. The summary RR was 1.11 (95% CI: 1.04-1.18, I² = 61%, n = 4) per 20 mg/dl increase of blood glucose in relation to atrial fibrillation (3385 cases, 247,447 participants) and there was no evidence of nonlinearity, p_nonlinearity = 0.34.

CONCLUSIONS

This meta-analysis suggest that prediabetes and diabetes increase the risk of atrial fibrillation by 20% and 28%, respectively, and there is a dose-response relationship between increasing blood glucose and atrial fibrillation. Any further studies should clarify whether the association between diabetes and blood glucose and atrial fibrillation is independent of adiposity.

Obesity-Related Heart Failure With a Preserved Ejection Fraction: The Mechanistic Rationale for Combining Inhibitors of Aldosterone, Neprilysin, and Sodium-Glucose Cotransporter-2

Obesity-related heart failure with a preserved ejection fraction (HFpEF) is an important phenotype prevalent in the community, especially in people with metabolic disorders (e.g., dyslipidemia, diabetes). These individuals exhibit a marked expansion of plasma volume, but ventricular distensibility is limited, most likely as a result of cardiac microvascular rarefaction acting in concert with myocardial and pericardial fibrosis. Consequently, the increase in plasma volume causes a disproportionate increase in cardiac filling pressures, leading to heart failure, even though systolic ejection is not impaired. The features of this syndrome appear to be related (in part) to the overproduction of adipocyte-derived cell-signaling molecules, including aldosterone and neprilysin. The resulting sodium retention and plasma volume expansion is exacerbated by their mutual actions to promote cardiac and systemic inflammation and fibrosis. Inhibitors of aldosterone, neprilysin, and the sodium-glucose transporter-2 (SGLT2) can ameliorate the plasma volume expansion and pro-inflammatory and profibrotic pathways, potentially opposing the action of diverse adipocytokines. All 3 classes of drugs can reduce the quantity of visceral adipose tissue and ameliorate its abnormal biological properties. This mechanistic framework is supported by the results of large-scale randomized trials with mineralocorticoid receptor antagonists and SGLT2 inhibitors and is being further tested in an ongoing large-scale trial of neprilysin inhibition. The promise of using mineralocorticoid receptor antagonists, neprilysin inhibitors, and SGLT2 inhibitors (alone or in combination) in the management of obesity-related HFpEF suggests that physicians might finally have a phenotype of HFpEF that they can understand and treat.

Association between vitamin D deficiency and heart failure risk in the elderly

AIMS

The aim of this study was to evaluate the association between vitamin D deficiency and risk of heart failure in elderly patients of cardiology outpatient clinics.

METHODS AND RESULTS

A cross-sectional study with an analytical approach was employed. Clinical data were collected from the elderly from August 2015 to February 2016. The dependent variable was the risk of heart failure; the independent variable was vitamin D deficiency; and intervening factors were age, gender, education, ethnicity, hypertension, diabetes mellitus, hypothyroidism, renal failure, dementia, stroke, dyslipidaemia, depression, smoking, alcoholism, obesity, andropause, and cardiac arrhythmia. To analyse the association between vitamin D deficiency and risk of heart failure, we used the bivariate logistic analysis, followed by analysis through the multivariate logistic regression model. Of the 137 elderly, the study found the following: women (75.9%); overweight (48.2%); obese (30.6%); increase in the index waist/hip (88.3%); dyslipidaemia (94.2%) and hypertension (91.2%); coronary artery disease (35.0%); and 27.7% with cardiac arrhythmia or left ventricular hypertrophy. Sixty-five per cent of the elderly were deficient in vitamin D. The risk of heart failure was significantly associated with vitamin D deficiency [odds ratio (OR): 12.19; 95% confidence interval (CI) = 4.23-35.16; P = 0.000], male gender (OR: 15.32; 95% CI = 3.39-69.20, P = 0.000), obesity (OR: 4.17; 95% CI = 1.36-12.81; P = 0.012), and cardiac arrhythmia (OR: 3.69; 95% CI = 1.23-11.11; P = 0.020).

CONCLUSIONS

There was a high prevalence of vitamin D deficiency in the elderly, and the evidence shows a strong association between vitamin D deficiency and increased risk of heart failure in this population.

Predictors of incident heart failure in patients after an acute coronary syndrome: The LIPID heart failure risk-prediction model

BACKGROUND

Coronary heart disease is a major cause of heart failure. Availability of risk-prediction models that include both clinical parameters and biomarkers is limited. We aimed to develop such a model for prediction of incident heart failure.

METHODS

A multivariable risk-factor model was developed for prediction of first occurrence of heart failure death or hospitalization. A simplified risk score was derived that enabled subjects to be grouped into categories of 5-year risk varying from <5% to >20%.

RESULTS

Among 7101 patients from the LIPID study (84% male), with median age 61years (interquartile range 55-67years), 558 (8%) died or were hospitalized because of heart failure. Older age, history of claudication or diabetes mellitus, body mass index>30kg/m², LDL-cholesterol >2.5mmol/L, heart rate>70 beats/min, white blood cell count, and the nature of the qualifying acute coronary syndrome (myocardial infarction or unstable angina) were associated with an increase in heart failure events. Coronary revascularization was associated with a lower event rate. Incident heart failure increased with higher concentrations of B-type natriuretic peptide >50ng/L, cystatin C>0.93nmol/L, D-dimer >273nmol/L, high-sensitivity C-reactive protein >4.8nmol/L, and sensitive troponin I>0.018μg/L. Addition of biomarkers to the clinical risk model improved the model's C statistic from 0.73 to 0.77. The net reclassification improvement incorporating biomarkers into the clinical model using categories of 5-year risk was 23%.

CONCLUSION

Adding a multibiomarker panel to conventional parameters markedly improved discrimination and risk classification for future heart failure events.

Impact of diabetes on heart failure incidence in adults with ischemic heart disease

BACKGROUND

Ischemic heart disease (IHD) is the most potent risk factor for heart failure (HF). Our study aims to evaluate the incremental impact of diabetes on the incidence of HF in individuals with IHD.

METHODS

Data from the NHANES Epidemiologic Follow-Up Study (Baseline: 1971 to 1974) were linked to the facility and mortality files up to 1992. Our analyses were restricted to patients with IHD without prevalent HF at baseline. The cumulative incidence of HF in patients with diabetes and IHD versus those with IHD alone was assessed using failure curves. Cox proportional hazards models were used to control for important covariates. All analyses incorporated the complex sample design by including the weights and clustering variables.

RESULTS

Out of the 14,407 participants, 497 had IHD without prevalent HF and had information about diabetes status. Among these participants, the cumulative incidence of HF was 38.1% for those with diabetes (n=63) and 26.5% in those without diabetes (n=434) (log-rank p-value<0.005). The multivariate hazard ratio (adjusted for age, BMI, alcohol consumption, hypertension, high cholesterol, and smoking) for incident HF for people who had myocardial infarction (MI) and diabetes compared to people who had MI alone was 2.98 (95% CI 1.51, 5.88).

CONCLUSION

Among participants with MI, those with diabetes had a substantially higher incidence of HF than those without diabetes. Based on these findings, practitioners should focus greater attention on patients with diabetes and previous MI in order to potentially prevent incident HF.

Obesity and Cardiometabolic Defects in Heart Failure Pathology

Obesity is a major global epidemic that sets the stage for diverse multiple pathologies, including cardiovascular disease. The obesity-related low-grade chronic inflamed milieu is more pronounced in aging and responsive to cardiac dysfunction in heart failure pathology. Metabolic dysregulation of obesity integrates with immune reservoir in spleen and kidney network. Therefore, an integrative systems biology approach is necessary to delay progressive cardiac alternations. The purpose of this comprehensive review is to largely discuss the impact of obesity on the cardiovascular pathobiology in the context of problems and challenges, with major emphasis on the diversified models, and to study cardiac remodeling in obesity. The information in this article is immensely helpful in teaching advanced undergraduate, graduate, and medical students about the advancement and impact of obesity on cardiovascular health. © 2017 American Physiological Society. Compr Physiol 7:1463-1477, 2017.

Prevalence and risk factors of heart failure in the USA: NHANES 2013 - 2014 epidemiological follow-up study

Background: Heart Failure (HF) is a progressive epidemic associated with considerable morbidity and mortality. Self-reported data from the National Health and Nutrition Examination Survey (NHANES) provides a unique representation of individuals suffering from HF. The purpose of this study is to analyze updated NHANES 2013-2014 data to identify any changes in the prevalence and current risk factors of HF, especially given the novel lifestyles and increased medical awareness of current generations. Methods: NHANES uses a multistage probability sampling design under the Centers for Disease Control and Prevention (CDC). The Student's t-test and Chi-square test/ Fisher's exact test was used for analysis of variables. A multiple logistic regression model was used to identify statistically significant risk factors for HF. Analyses were performed with the use of SAS software, version 9.4. Results: Based on our analysis, the primary risk factor was coronary artery disease followed by hypertension, diabetes mellitus, age ≥ 65 years, and obesity. Conclusion: The findings revealed that despite improved population awareness and advancements in diagnostics and therapeutics, the same risk factors continue to persist. This provided an insight into the path towards which our resources need to be directed, so as to effectively tackle the aforementioned risk factors.

Echocardiographic and Histologic Correlations in Patients with Severe Aortic Stenosis: Influence of Overweight and Obesity

Background

Severe aortic stenosis (AS), leads to pathological left ventricular remodeling that may worsen with concomitant overweight and obesity (OW/O).

Methods

We aimed to prospectively analyze the impact of OW/O on ventricular remodeling in severe AS, by evaluating the percentage of intraendomyocardial fibrosis (PIEF) and the percentage of infiltrating intraendocardial lipid vacuoles (PIELV) and its relationship to global longitudinal strain (GLS) in patients with OW/O.

Results

44 patients with severe AS were included, 13 non-obese (29%) and 31 OW/O (71%), all of them with left ventricular ejection fraction ≥ 55%. GLS was evaluated with 2D speckle tracking. During valve replacement, an endocardial biopsy was obtained, where PIEF and PIELV were analyzed. Patients with higher PIEF and PIELV had greater body mass index (p < 0.0001) and worse GLS (p < 0.0053). A GLS cut-off point < -14% had a sensitivity of 75%, and a specificity of 92.8% to detect important PIEF (AUC: 0.928, 95% confidence interval: 0.798–1.00). On multivariate analysis, OW/O and PIELV were independently associated to the PIEF, and OW/O and PIEF were independently associated to GLS. A high correlation between the amount of PIELV and PIEF were found.

Conclusion

Patients with severe AS and OW/O have greater PIEF and PIELV, suggesting more pathological remodeling. GLS is useful to detect subclinical myocardial injury and is potentially useful for endomyocardial fibrosis detection. The presence of higher PIELF may be a trigger factor for the development of intraendomyocardial fibrosis.

Insulin Signaling and Heart Failure

Heart failure is associated with generalized insulin resistance. Moreover, insulin-resistant states such as type 2 diabetes mellitus and obesity increases the risk of heart failure even after adjusting for traditional risk factors. Insulin resistance or type 2 diabetes mellitus alters the systemic and neurohumoral milieu, leading to changes in metabolism and signaling pathways in the heart that may contribute to myocardial dysfunction. In addition, changes in insulin signaling within cardiomyocytes develop in the failing heart. The changes range from activation of proximal insulin signaling pathways that may contribute to adverse left ventricular remodeling and mitochondrial dysfunction to repression of distal elements of insulin signaling pathways such as forkhead box O transcriptional signaling or glucose transport, which may also impair cardiac metabolism, structure, and function. This article will review the complexities of insulin signaling within the myocardium and ways in which these pathways are altered in heart failure or in conditions associated with generalized insulin resistance. The implications of these changes for therapeutic approaches to treating or preventing heart failure will be discussed.

Body Mass Index, Abdominal Fatness, and Heart Failure Incidence and Mortality: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies

BACKGROUND

Obesity has been associated with increased risk of heart failure, but whether overweight also increases risk is unclear. It is also unclear whether abdominal adiposity is more strongly associated with heart failure risk than general adiposity. We conducted a systematic review and meta-analysis of prospective studies to clarify the strength and shape of the dose-response relationship between general and abdominal adiposity and the risk of heart failure.

METHODS AND RESULTS

PubMed and Embase databases were searched up to October 10, 2014. Summary relative risks were calculated using random-effects models. A total of 28 studies (27 publications) were included. Twenty-three prospective studies with >15 905 incident cases among 647 388 participants were included in the analysis of body mass index and heart failure incidence, and 4 studies were included for heart failure mortality. The summary relative risk for a 5-unit increment in body mass index was 1.41 (95% confidence interval, 1.34-1.47; I(2)=83%) for heart failure incidence and 1.26 (95% confidence interval, 0.85-1.87; I(2)=95%) heart failure mortality. Although the test for nonlinearity was significant (P<0.0001), this appeared to be attributable to a threshold at a body mass index of ≈23 to 24 kg/m(2); however, there was evidence of increased risk even in the overweight body mass index range. The summary relative risk for a 10-cm increase in waist circumference was 1.29 (95% confidence interval, 1.21-1.37; I(2)=89%) and per 0.1-unit increase in waist-to-hip ratio was 1.29 (95% confidence interval, 1.13-1.47; I(2)=82%).

CONCLUSION

Overweight and obesity and abdominal adiposity are associated with increased risk of heart failure.

Deletion of IGF-1 Receptors in Cardiomyocytes Attenuates Cardiac Aging in Male Mice

IGF-1 receptor (IGF-1R) signaling is implicated in cardiac hypertrophy and longevity. However, the role of IGF-1R in age-related cardiac remodeling is only partially understood. We therefore sought to determine whether the deletion of the IGF-1R in cardiomyocytes might delay the development of aging-associated myocardial pathologies by examining 2-year-old male cardiomyocyte-specific IGF-1R knockout (CIGF1RKO) mice. Aging was associated with the induction of IGF-1R expression in hearts. Cardiomyocytes hypertrophied with age in wild-type (WT) mice. In contrast, the cardiac hypertrophic response associated with aging was blunted in CIGF1RKO mice. Concomitantly, fibrosis was reduced in aged CIGF1RKO compared with aged WT hearts. Expression of proinflammatory cytokines such as IL-1α, IL-1β, IL-6, and receptor activator of nuclear factor-κB ligand was increased in aged WT hearts, but this increase was attenuated in aged CIGF1RKO hearts. Phosphorylation of Akt was increased in aged WT, but not in aged CIGF1RKO, hearts. In cultured cardiomyocytes, IGF-1 induced senescence as demonstrated by increased senescence-associated β-galactosidase staining, and a phosphoinositide 3-kinase inhibitor inhibited this effect. Furthermore, inhibition of phosphoinositide 3-kinase significantly prevented the increase in IL-1α, IL-1β, receptor activator of nuclear factor-κB ligand, and p21 protein expression by IGF-1. These data reveal an essential role for the IGF-1-IGF-1R-Akt pathway in mediating cardiomyocyte senescence.

Pharmacist intervention in the prevention of heart failure for high-risk elderly patients in the community

Background

Heart failure has become one of the major causes of hospitalization worldwide. Hypertension, diabetes mellitus and hyperlipidemia are the major causes of heart failure. In order to effectively prevent heart failure, blood pressure, blood glucose and cholesterol levels shall be closely monitored and controlled as well as medication adherence. This study aimed to investigate the role of pharmacist intervention in prevention of heart failure in high risk elderly patients in the community of Hong Kong.

Aim

This study aimed to investigate the role of pharmacist intervention in prevention of heart failure in highrisk elderly patients in the community of Hong Kong.

Methods

This prospective uncontrolled study was conducted between July 2012 and April 2013 with two revisits every 3 to 4 months to review elderly patients’ medication profiles as well as assess their blood pressure (BP), random capillary blood glucose (RCBG) level, cholesterol levels, signs and symptoms of heart failure and the compliance level. The results collected at the baseline data were analyzed and compared with those collected at the last follow-up visit.

Result

A significant increase in number of subjects free of symptoms of heart failure (31.88%, p < 0.001) was found. For chronic disease management, significant reduction in LDL-cholesterol level (-0.86 ± 0.56mmol/L, p = 0.038) and triglyceride level (-1.15 ± 1.09mmol/L, p < 0.001) was observed in overall participants. Yet, no significant reduction in BP level or RCBG level was observed in overall subjects. Significant reduction in mean Morisky Medication Adherence Score (-0.54 ± 1.50, p = 0.005) indicated improvement in medication compliance in participants.

Conclusion

The Pharmacy Outreach service has a significant role in prevention of heart failure, by means of minimizing heart failure symptoms, improving medication compliance and enhancing chronic disease management, particularly cholesterol management in community elderly patients. This study provided a reference for further investigation and evaluation of the role of pharmacists in preventing heart failure in the high-risk community elderly patients.

Electronic supplementary material

The online version of this article (doi:10.1186/s12872-015-0173-3) contains supplementary material, which is available to authorized users.

Altered Levels of Fatty Acids and Inflammatory and Metabolic Mediators in Epicardial Adipose Tissue in Patients With Systolic Heart Failure

BACKGROUND

Adipose tissue has endocrine properties, secreting a wide range of mediators into the circulation, including factors involved in cardiovascular disease. However, little is known about the potential role of adipose tissue in heart failure (HF), and the aim of this study was to investigate epicardial (EAT) and subcutaneous (SAT) adipose tissue in HF patients.

METHODS AND RESULTS

Thirty patients with systolic HF and 30 patients with normal systolic function undergoing thoracic surgery were included in the study. Plasma was sampled and examined with the use of enzyme-linked immunosorbent assays, whereas SAT and EAT biopsies were collected and examined by means of reverse-transcription polymerase chain reaction and gas chromatography. Significantly higher expressions of mRNA encoding interleukin-6, adrenomedullin, peroxisome proliferator-activated receptor α, and fatty acid (FA)-binding protein 3, as well as higher levels of monounsaturated FA and palmitoleic acid, were seen in the EAT of HF patients, whereas the levels of docosahexaenoic acid were lower. Palmitoleic acid levels in EAT were correlated with 2 parameters of cardiac remodeling: increasing left ventricular end-diastolic diameter and N-terminal pro-B-type natriuretic peptide.

CONCLUSIONS

Our results demonstrate adipose tissue depot-specific alterations of synthesis of FA and inflammatory and metabolic mediators in systolic HF patients. EAT may be a source of increased circulatory and myocardial levels of these mediators through endocrine actions.

Excessive Weight and Obesity Are Associated to Intra-Ventricular Asynchrony: Pilot Study

Background

Excessive weight and obesity (EwO) are independent factors in the development of heart failure; they lead to a state of myocardiopathy via inflammatory and hormonal mechanisms. If excessively accumulated, epicardial fat favors a proinflammatory state. Ventricular asynchrony is a marker of heart failure progression and has been poorly studied in EwO. The objective was evaluate the relation between epicardial fat, body mass index (BMI) and mechanical synchrony measured by echocardiography, in healthy individuals with EwO.

Methods

We included 55 healthy individuals between the ages of 18 and 35, 17 had a BMI < 25 kg/m² (30.9%) and 38 had a BMI > 25 kg/m² (EwO group) (69.09%), anthropometric measurements, transthoracic echocardiogram and synchrony evaluation were obtained.

Results

Left atrial volume, telediastolic and telesystolic left ventricular volumes and the baseline volume of the right ventricle were greater in the EwO group (20 mL/m² vs. 15 mL/m², p = 0.001; 106 mL vs. 82 mL, p = 0.0149 vs. 32 mL, p = 0.001 and 34 mm vs. 31 mm, p = 0.02, respectively). The Yu index also correlated with epicardial fat, r = 0.53, p < 0.01, whereby the greater the amount of epicardial fat, the greater the dispersion timing of ventricular activation. The systolic synchrony index also correlated with the BMI, p = 0.01.

Conclusion

Mechanical intraventricular asynchrony is associated to EwO and the amount of epicardial fat; hence, asynchrony may be one more factor leading to heart failure in EwO individuals.

Clinical prediction of incident heart failure risk: a systematic review and meta-analysis

BACKGROUND

Early treatment may alter progression to overt heart failure (HF) in asymptomatic individuals with stage B HF (SBHF). However, the identification of patients with SBHF is difficult. This systematic review sought to examine the strength of association of clinical factors with incident HF, with the intention of facilitating selection for HF screening.

METHODS

Electronic databases were systematically searched for studies reporting risk factors for incident HF. Effect sizes, typically HRs, of each risk variable were extracted. Pooled crude and adjusted HRs with 95% CIs were computed for each risk variable using a random-effects model weighted by inverse variance.

RESULTS

Twenty-seven clinical factors were identified to be associated with risk of incident HF in 15 observational studies in unselected community populations which followed 456 850 participants over 4-29 years. The strongest independent associations for incident HF were coronary artery disease (HR=2.94; 95% CI 1.36 to 6.33), diabetes mellitus (HR=2.00; 95% CI 1.68 to 2.38), age (HR (per 10 years)=1.80; 95% CI 1.13 to 2.87) followed by hypertension (HR=1.61; 95% CI 1.33 to 1.96), smoking (HR=1.60; 95% CI 1.45 to 1.77), male gender (HR=1.52; 95% CI 1.24 to 1.87) and body mass index (HR (per 5 kg/m(2))=1.15; 95% CI 1.06 to 1.25). Atrial fibrillation (HR=1.88; 95% CI 1.60 to 2.21), left ventricular hypertrophy (HR=2.46; 95% CI 1.71 to 3.53) and valvular heart disease (HR=1.74; 95% CI 1.07 to 2.84) were also strongly associated with incident HF but were not examined in sufficient papers to provide pooled hazard estimates.

CONCLUSIONS

Prediction of incident HF can be calculated from seven common clinical variables. The risk associated with these may guide strategies for the identification of high-risk people who may benefit from further evaluation and intervention.

Posttraumatic stress disorder and incident heart failure among a community-based sample of US veterans

OBJECTIVES

We investigated the association between posttraumatic stress disorder (PTSD) and incident heart failure in a community-based sample of veterans.

METHODS

We examined Veterans Affairs Pacific Islands Health Care System outpatient medical records for 8248 veterans between 2005 and 2012. We used multivariable Cox regression to estimate hazard ratios and 95% confidence intervals for the development of heart failure by PTSD status.

RESULTS

Over a mean follow-up of 7.2 years, veterans with PTSD were at increased risk for developing heart failure (hazard ratio [HR] = 1.47; 95% confidence interval [CI] = 1.13, 1.92) compared with veterans without PTSD after adjustment for age, gender, diabetes, hyperlipidemia, hypertension, body mass index, combat service, and military service period. Additional predictors for heart failure included age (HR = 1.05; 95% CI = 1.03, 1.07), diabetes (HR = 2.54; 95% CI = 2.02, 3.20), hypertension (HR = 1.87; 95% CI = 1.42, 2.46), overweight (HR = 1.72; 95% CI = 1.25, 2.36), obesity (HR = 3.43; 95% CI = 2.50, 4.70), and combat service (HR = 4.99; 95% CI = 1.29, 19.38).

CONCLUSIONS

Ours is the first large-scale longitudinal study to report an association between PTSD and incident heart failure in an outpatient sample of US veterans. Prevention and treatment efforts for heart failure and its associated risk factors should be expanded among US veterans with PTSD.

Obesity, subclinical myocardial injury, and incident heart failure

OBJECTIVES

The study sought to evaluate the association of obesity with a novel biomarker of subclinical myocardial injury, cardiac troponin T measured with a new high-sensitivity assay (hs-cTnT), among adults without clinical cardiovascular disease (CVD).

BACKGROUND

Laboratory evidence suggests a relationship between obesity and myocardial injury that may play a role in the development of heart failure (HF), but there is limited clinical data regarding this association.

METHODS

We evaluated 9,507 participants in the ARIC (Atherosclerosis Risk in Communities) study without baseline CVD (Visit 4, 1996 to 1999). We assessed the cross-sectional association of body mass index (BMI) with high (≥14 ng/l) and measurable (≥3 ng/l) hs-cTnT levels after multivariable regression. We further evaluated the independent and combined associations of BMI and hs-cTnT with incident HF.

RESULTS

Higher BMI was independently associated with a positive, linear increase in the likelihood of high hs-cTnT, with severe obesity (BMI >35 kg/m(2)) associated with an odds ratio of 2.20 (95% confidence interval: 1.59 to 3.06) for high hs-cTnT after adjustment. Over 12 years of follow-up, there were 869 incident HF events. Obesity and hs-cTnT were both independently associated with incident HF, and individuals with severe obesity and high hs-cTnT had a greater than 9-fold higher risk of incident HF (hazard ratio: 9.20 [95% confidence interval: 5.67 to 14.93]) than individuals with normal weight and undetectable hs-cTnT.

CONCLUSIONS

Among individuals without CVD, higher BMI has an independent, linear association with subclinical myocardial injury, as assessed by hs-cTnT levels. Obesity and hs-cTnT provide independent and complementary prognostic information regarding the risk of incident HF.

Validity of heart failure diagnoses in administrative databases: a systematic review and meta-analysis

Objective

Heart failure (HF) is an important covariate and outcome in studies of elderly populations and cardiovascular disease cohorts, among others. Administrative data is increasingly being used for long-term clinical research in these populations. We aimed to conduct the first systematic review and meta-analysis of studies reporting on the validity of diagnostic codes for identifying HF in administrative data.

Methods

MEDLINE and EMBASE were searched (inception to November 2010) for studies: (a) Using administrative data to identify HF; or (b) Evaluating the validity of HF codes in administrative data; and (c) Reporting validation statistics (sensitivity, specificity, positive predictive value [PPV], negative predictive value, or Kappa scores) for HF, or data sufficient for their calculation. Additional articles were located by hand search (up to February 2011) of original papers. Data were extracted by two independent reviewers; article quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. Using a random-effects model, pooled sensitivity and specificity values were produced, along with estimates of the positive (LR+) and negative (LR−) likelihood ratios, and diagnostic odds ratios (DOR = LR+/LR−) of HF codes.

Results

Nineteen studies published from1999–2009 were included in the qualitative review. Specificity was ≥95% in all studies and PPV was ≥87% in the majority, but sensitivity was lower (≥69% in ≥50% of studies). In a meta-analysis of the 11 studies reporting sensitivity and specificity values, the pooled sensitivity was 75.3% (95% CI: 74.7–75.9) and specificity was 96.8% (95% CI: 96.8–96.9). The pooled LR+ was 51.9 (20.5–131.6), the LR− was 0.27 (0.20–0.37), and the DOR was 186.5 (96.8–359.2).

Conclusions

While most HF diagnoses in administrative databases do correspond to true HF cases, about one-quarter of HF cases are not captured. The use of broader search parameters, along with laboratory and prescription medication data, may help identify more cases.