Inhibition of miR-92a normalizes vascular gene expression and prevents diastolic dysfunction in heart failure with preserved ejection fraction

Heart failure with preserved ejection fraction (HFpEF) remains a major public health burden with increasing prevalence but only few effective therapies. Endothelial dysfunction and inflammation are identified as pathophysiological drivers of HFpEF disease progression. MicroRNAs are increasingly recognized as key regulators of these pathological processes, while antimiR-based therapies have been emerged as promising therapeutics in mice and humans. Therefore, we tested whether miR-92a-3p inhibition is a promising therapeutic intervention to target HFpEF in vivo. By injection of locked nucleic acid (LNA)-based antimiR (LNA-92a) weekly, we demonstrate that inhibition of miR-92a-3p attenuates the development of diastolic dysfunction and left atrial dilation following experimental induction of HFpEF in mice. Indeed, LNA-92a depleted miR-92a-3p expression in the myocardium and peripheral blood, and derepressed predicted target genes in a cell type-specific manner. Furthermore, cell-type specific efficacy of LNA-92a treatment was assessed by single-nuclear RNA sequencing of HFpEF hearts either treated with LNA-92a or LNA-Control. Endothelial cells of LNA-92a treated mice showed normalized vascular gene expression and reduced gene signatures associated with endothelial-mesenchymal transition. CONCLUSION: This study demonstrates that LNA-based antimiR-92a is an effective therapeutic strategy to target diastolic dysfunction and left atrial dilation in HFpEF.

Impact of first-line antihypertensive drug class and intensity on NT-proBNP improvement and cardiovascular outcomes among hypertensive patients with pre-heart failure: findings from SPRINT trial

Five first-line classes of antihypertensive drugs are recommended for hypertension treatment. However, it is unclear which class should be chosen for hypertensive patients with pre-heart failure (pre-HF). The study aimed to investigate the association between antihypertensive drug classes and intensity with probability of NT-proBNP (N-terminal pro-B-type natriuretic peptide) improvement and risk of cardiovascular events among pre-HF hypertensive patients. Utilizing the data from SPRINT, we included pre-HF hypertensive patients, identified by NT-proBNP ≥125 pg/mL at baseline. NT-proBNP improvement is defined as a reduction of ≥50% to a level below 125 pg/mL. A total of 3293 patients (mean age: 71.9 years; female: 43.8%) were included. NT-proBNP improvement was observed in 415 patients (12.6%) over 1-year follow up. Thiazide-type diuretics users were associated with a higher likelihood of NT-proBNP improvement (odds ratio [OR], 1.33; 95% confidence interval [CI], 1.05-1.70), a lower risk of HF (hazard ratio [HR], 0.54; 95% CI, 0.37-0.78) and primary composite outcome (HR, 0.72; 95% CI, 0.57-0.89). ACEI/ARB users were only associated with a lower risk of primary composite outcome (HR, 0.80; 95% CI, 0.63-0.99). In contrast, beta-blockers users were associated with a lower likelihood of NT-proBNP improvement (OR, 0.43; 95% CI, 0.34-0.55), while a higher risk of HF (HR, 1.79; 95% CI, 1.21-2.64) and primary composite outcome (HR, 1.48; 95% CI, 1.18-1.87). These associations varied across subgroups of different drug intensities. This post hoc analysis supports the use of thiazide-type diuretics and ACEI/ARB for prevention of cardiovascular events. The use of beta-blockers is associated with an increased risk of HF and primary outcomes, which requires further validation. Association between antihypertensive drug classes and intensity with NT-proBNP improvement and long-term clinical outcome.

Prognostic role of gait speed in worsening heart failure

BACKGROUND

Worsening Heart Failure (WHF) is associated with adverse prognosis. Identifying novel prognostic markers in WHF is crucial. Gait speed (GS), a validated frailty index, is an easily obtainable parameter that may aid in reclassifying the risk of HF patients. We assessed the independent prognostic role of GS in WHF patients.

METHODS

We studied 171 patients with chronic HF with worsening congestion symptoms and inadequate response to standard therapies, requiring intravenous diuretic treatment. The primary outcome was a composite of all-cause mortality or HF hospitalization. We assessed the association and the incremental value of GS, as compared to other clinical confounders, with the primary outcome.

RESULTS

The mean age was 76±11 years, 66 % were male, median BNP was 481 pg/ml, and median ejection fraction was 40 %. Over a median follow-up of 11.3 months, 71 events occurred. Lower GS was significantly associated with a higher risk of events (HR of 4.03, 95 % CI 2.25-7.21), along with neutrophil to lymphocyte ratio, BNP, QRS duration, natremia, and previous myocardial infarction. When added to the MAGGIC risk score and the other significant confounders identified, GS significantly enhanced the model risk prediction (Harrell's C-index 0.75 vs 0.71, p < 0.001). At Classification And Regression Tree analysis, GS≤0.8 m/s was the first parameter to be considered to risk stratify the population.

CONCLUSIONS

GS, an easily obtainable marker of frailty, may contribute to improve the risk stratification of patients with WHF.

Long-term outcomes of phenoclusters in preclinical heart failure with preserved and mildly reduced ejection fraction

AIMS

The identification of subjects at higher risk for incident heart failure (HF) with preserved ejection fraction (EF) suitable for more intensive preventive programmes remains challenging. We applied phenomapping to the DAVID-Berg population, comprising subjects with preclinical HF, aiming to refine HF risk stratification.

METHODS

The DAVID-Berg study prospectively enrolled 596 asymptomatic outpatients with EF > 40% with hypertension, diabetes mellitus or known cardiovascular disease. In this cohort, we performed an unsupervised cluster analysis on 591 patients, including clinical, laboratory, electrocardiographic and echocardiographic parameters. We tested the association between each cluster and a composite outcome of HF/death.

RESULTS

The median age was 70 years, 55.5% were males and the median EF was 61.0%. Phenomapping provided three different clusters. Subjects in Cluster 3 were the oldest and had the highest prevalence of atrial fibrillation, the lowest estimated glomerular filtration rate (eGFR), the highest N-terminal pro-brain natriuretic peptide (NT-proBNP) and the largest left atrium. During a median follow-up of 5.7 years, 13.4% of subjects experienced HF/death events (N = 79). Compared with Clusters 1 and 2, Cluster 3 had the worst prognosis (log-rank test: Cluster 3 vs. 1 P < 0.001; Cluster 3 vs. 2 P = 0.008). Cluster 3 was associated with a risk of HF/death 2.5 times higher than Cluster 1 [adjusted hazard ratio (HR) = 2.46, 95% confidence interval (CI) 1.24-4.90].

CONCLUSIONS

Based on phenomapping, older patients with lower kidney function and worse diastolic function might represent a subset of preclinical HF with EF > 40% who deserve more efforts to prevent clinical HF.

The cardiovascular changes underlying a low cardiac output with exercise in patients with type 2 diabetes mellitus

The significant morbidity and premature mortality of type 2 diabetes mellitus (T2DM) is largely associated with its cardiovascular consequences. Focus has long been on the arterial atheromatosis of DM giving rise to early stroke and myocardial infarctions, whereas less attention has been given to its non-ischemic cardiovascular consequences. Irrespective of ischemic changes, T2DM is associated with heart failure (HF) most commonly with preserved ejection fraction (HFpEF). Largely due to increasing population ages, hypertension, obesity and T2DM, HFpEF is becoming the most prevalent form of heart failure. Unfortunately, randomized controlled trials of HFpEF have largely been futile, and it now seems logical to address the important different phenotypes of HFpEF to understand their underlying pathophysiology. In the early phases, HFpEF is associated with a significantly impaired ability to increase cardiac output with exercise. The lowered cardiac output with exercise results from both cardiac and peripheral causes. T2DM is associated with left ventricular (LV) diastolic dysfunction based on LV hypertrophy with myocardial disperse fibrosis and significantly impaired ability for myocardial blood flow increments with exercise. T2DM is also associated with impaired ability for skeletal muscle vasodilation during exercise, and as is the case in the myocardium, such changes may be related to vascular rarefaction. The present review discusses the underlying phenotypical changes of the heart and peripheral vascular system and their importance for an adequate increase in cardiac output. Since many of the described cardiovascular changes with T2DM must be considered difficult to change if fully developed, it is suggested that patients with T2DM are early evaluated with respect to their cardiovascular compromise.

Machine learning model for predicting 1-year and 3-year all-cause mortality in ischemic heart failure patients

OBJECTIVE

Machine learning (ML) model has not been developed specifically for ischemic heart failure (HF) patients. Whether the performance of ML model is better than the MAGGIC risk score and NT-proBNP is unknown. The current study was to apply ML algorithm to build risk model for predicting 1-year and 3-year all-cause mortality in ischemic HF patient and to compare the performance of ML model with the MAGGIC risk score and NT-proBNP.

METHOD

Three ML algorithms without and with feature selection were used for model exploration, and the performance was determined based on the area under the curve (AUC) in five-fold cross-validation. The best performing ML model was selected and compared with the MAGGIC risk score and NT-proBNP. The calibration of ML model was assessed by the Brier score.

RESULTS

Random forest with feature selection had the highest AUC (0.742 and 95% CI: 0.697-0.787) for predicting 1-year all-cause mortality, and support vector machine without feature selection had the highest AUC (0.732 and 95% CI: 0.694-0.707) for predicting 3-year all-cause mortality. When compared to the MAGGIC risk score and NT-proBNP, ML model had a comparable AUC for predicting 1-year (0.742 vs 0.714 vs 0.694) and 3-year all-cause mortality (0.732 vs 0.712 vs 0.682). The Brier score for predicting 1-year and 3-year all-cause mortality were 0.068 and 0.174, respectively.

CONCLUSION

ML models predicted prognosis in ischemic HF with good discrimination and well calibration. These models may be used by clinicians as a decision-making tool to estimate the prognosis of ischemic HF patients.

Benefits of SGLT2i for the Treatment of Heart Failure Irrespective of Diabetes Diagnosis: A State-of-the-Art Review

Morbidity and mortality associated with heart failure (HF) has remained high despite advances in therapy. Furthermore, HF-associated risk in patients with type 2 diabetes mellitus (T2D) is even higher than in patients without T2D owing to the strong reciprocal relationship between conditions. However, until recently, no therapy to treat patients with diabetes also reduced cardiovascular risks related to HF. Recent clinical studies (DAPA-HF, EMPEROR-Reduced and EMPEROR-Preserved, SOLOIST-WHF trial) and meta-analysis have demonstrated that sodium-glucose cotransporter-2 inhibitors (SGLT2i) are among the first antidiabetic drugs capable of reducing cardiovascular risks related to HF and improving the prognosis of patients with and without diabetes. Their pleiotropic mechanisms of action place them at the intersection of hemodynamic, metabolic, and neurohumoral pathways, with clear advantages for treating these patients independent of its glucose-lowering effect. Moreover, the benefits of SGLT2i were consistent across the cardiorenal continuum in different populations and clinical settings, which has led to different guidelines introducing SGLT2i as a first-line treatment for HF.

Epidemiology of Asymptomatic Pre-heart Failure: a Systematic Review

PURPOSE OF REVIEW

To quantify the prevalence of asymptomatic pre-heart failure (pre-HF), progression to more severe stages, and associated mortality.

RECENT FINDINGS

A systematic review was conducted between 01 January 2010 and 12 March 2020 (PROSPERO: CRD42020176141). Data of interest included prevalence, disease progression, and mortality rates. In total, 1030 sources were identified, of which, 12 reported on pre-HF (using the ACC/AHA definition for stage B HF) and were eligible. Prevalence estimates of pre-HF ranged from 11 to 42.7% (10 sources) with higher estimates found in the elderly, in patients with hypertension, and in men. Three studies reported on disease progression with follow-up ranging from 13 months to 7 years. The incidence of symptomatic HF (HF/advanced HF) ranged from 0.63 to 9.8%, and all-cause mortality from 1.6 to 5.4%. Further research is required to investigate whether early detection and intervention can slow or stop the progression from asymptomatic to symptomatic HF.

Team-based strategies to prevent heart failure

PURPOSE OF REVIEW

The burden of heart failure (HF) in the United States and worldwide is projected to rise. Prevention of HF can curb the burden of this chronic syndrome, but current approaches are limited. This review discusses team-based strategies aimed to prevent HF.

RECENT FINDINGS

Individuals at high risk for developing HF can be identified using HF risk scores, biomarkers, and cardiac imaging. Electronic medical records (EMR) can integrate clinical data to estimate HF risk and identify individuals who may benefit most from preventive therapies. Team-based interventions can lead to enhanced adherence to medications, optimization of medical management, and control of risk factors. Multifaceted interventions involve EMR-based strategies, pharmacist- and nurse-led initiatives, involvement of community personnel, polypills, and digital solutions.

SUMMARY

Team-based strategies aimed to prevent HF incorporate a broad group of personnel and tools. Despite implementation challenges, existing resources can be efficiently utilized to facilitate team-based approaches to potentially reduce the burden of HF.

Imaging predictors of incident heart failure: a systematic review and meta-analysis

BACKGROUND

Preventing the evolution of subclinical cardiac disease into overt heart failure is of paramount importance. Imaging techniques, particularly transthoracic echocardiography (TTE), are well suited to identify abnormalities in cardiac structure and function that precede the development of heart failure.

METHODS

This meta-analysis provides a comprehensive evaluation of 32 studies from 11 individual cohorts, which assessed cardiac indices from TTE (63%), cardiovascular magnetic resonance (CMR; 34%) or cardiac computed tomography (CCT; 16%). Eligible studies focused on measures of left ventricular geometry and function and were highly heterogeneous.

RESULTS

Among the variables that could be assessed through a meta-analytic approach, left ventricular systolic dysfunction, defined as left ventricular ejection fraction (LVEF) lower than 50%, and left ventricular dilation were associated with a five-fold [hazard ratio (HR) 4.76, 95% confidence interval (95% CI) 1.85-12.26] and three-fold (HR 3.14, 95% CI 1.37 -7.19) increased risk of heart failure development, respectively. Any degree of diastolic dysfunction conveyed an independent, albeit weaker, association with heart failure (HR 1.48, 95% CI 1.11-1.96), although there was only a trend for left ventricular hypertrophy in predicting incident heart failure (hazard ratio 2.85, 95% CI 0.82-9.85).

CONCLUSION

LVEF less than 50%, left ventricular dilation and diastolic dysfunction are independent predictors of incident heart failure among asymptomatic individuals, while left ventricular hypertrophy seems less predictive. These findings may serve as a framework for implementing imaging-based screening strategies in patients at risk of heart failure and inform future studies testing preventive or therapeutic approaches aiming at thwarting or halting the progression from asymptomatic (preclinical) to overt heart failure.