Multiparametric Assessment of Right Ventricular Dysfunction in Heart Failure: An Analysis From PARAGON-HF.

Background: This study aims to characterize right ventricular dysfunction (RVD) in heart failure (HF) with preserved ejection fraction and understand the cumulative prognostic value of abnormal RV echocardiographic parameters in HF with preserved ejection fraction.

Methods And Results: Data from 809 patients in the PARAGON-HF (Prospective Comparison of Angiotensin Receptor-Neprilysin Inhibitor With Angiotensin-Receptor Blocker Global Outcomes in HF With Preserved Ejection Fraction) echocardiographic substudy (55% women, mean age 74±8 years) were analyzed. Correlates of RVD (defined as tricuspid annular plane systolic excursion <1.

Sodium-glucose co-transporter 2 inhibitors and new-onset diabetes in cardiovascular or kidney disease.

Background And Aims: Individuals with heart failure (HF), other forms of cardiovascular disease, or kidney disease are at increased risk for the development and adverse health effects of diabetes. As such, prevention or delay of diabetes is an important treatment priority in these groups. The aim of this meta-analysis was to determine the effect of sodium-glucose co-transporter 2 inhibitors (SGLT2i) on incident diabetes in HF across the spectrum of left ventricular ejection fraction (LVEF) and across the broader spectrum of cardiovascular or kidney disease.

Projecting the benefit of vericiguat in PARADIGM-HF and DAPA-HF populations: Insights from the VICTORIA trial.

Aims: The VICTORIA trial demonstrated a significant reduction in the primary composite outcome of heart failure (HF) hospitalization or cardiovascular death with vericiguat relative to placebo in high-risk HF. This study aimed to contextualize treatment effects of vericiguat in populations with varying risk profiles simulated from the PARADIGM-HF and DAPA-HF trials.

Methods: Subgroups of VICTORIA participants (n = 5050) were generated to simulate PARADIGM-HF and DAPA-HF trial populations.

Clinical Correlates and Prognostic Impact of Cognitive Dysfunction in Patients With Heart Failure and Preserved Ejection Fraction: Insights From PARAGON-HF.

Background: Cognitive impairment is common in patients with heart failure and preserved ejection fraction but its clinical correlates and prognostic associations are poorly understood.

Methods: We analyzed cognitive function, using the Mini-Mental State Examination (MMSE), in patients with heart failure and preserved ejection fraction enrolled in a prespecified substudy of the PARAGON-HF trial (Prospective Comparison of Angiotensin Receptor Neprilysin Inhibitor With Angiotensin Receptor Blocker Global Outcomes in Heart Failure With Preserved Ejection Fraction). Logistic regression analyses were performed to determine the variables associated with lower MMSE scores at baseline and postbaseline decline in MMSE scores at 48 weeks.

Impact of baseline FIB-4 score on efpeglenatide benefits on cardiovascular outcomes in people with type 2 diabetes: a participant-level exploratory analysis of the AMPLITUDE-O trial.

Aims: To estimate the incidence of major adverse cardiovascular events (MACE), expanded MACE, and MACE or Death across Fibrosis- 4 score (FIB-4) categories in people with type 2 diabetes and to determine whether efpeglenatide's effect varies with increasing FIB-4 severity.

Materials And Methods: AMPLITUDE-O trial data were used to estimate the relationship of FIB-4 score categories to the hazard of MACE, expanded MACE, and MACE or death. Interactions on these outcomes between baseline FIB-4 score, and between FIB-4 score and efpeglenatide were also assessed.

Development and validation of a machine learning-based approach to identify high-risk diabetic cardiomyopathy phenotype.

Aims: Abnormalities in specific echocardiographic parameters and cardiac biomarkers have been reported among individuals with diabetes. However, a comprehensive characterization of diabetic cardiomyopathy (DbCM), a subclinical stage of myocardial abnormalities that precede the development of clinical heart failure (HF), is lacking. In this study, we developed and validated a machine learning-based clustering approach to identify the high-risk DbCM phenotype based on echocardiographic and cardiac biomarker parameters.

Proteomics Identify Clinical Phenotypes and Predict Functional Outcomes in Heart Failure With Preserved Ejection Fraction: Insights From VITALITY-HFpEF.

Background: Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome that may emerge from overlapping systemic processes associated with comorbidities. We assessed whether unique clusters of circulating proteins are associated with specific clinical characteristics and functional status at baseline and follow-up in a well-phenotyped cohort of patients with HFpEF.

Methods: We evaluated 368 proteins associated with cardiovascular disease and inflammation in prerandomization blood samples from 763 VITALITY-HFpEF (Vericiguat to Improve Physical Functioning in Daily Living Activities of Patients With HFpEF) participants who had a left ventricular ejection fraction ≥45% and a heart failure decompensation event within 6 months.

Racial Differences in Diabetic Cardiomyopathy: The ARISE-HF Trial.

Background: Diabetic cardiomyopathy (DbCM) increases risk of overt heart failure in individuals with diabetes mellitus. Racial and ethnic differences in DbCM remain unexplored.

Objectives: The authors sought to identify racial and ethnic differences among individuals with type 2 diabetes mellitus, structural heart disease, and impaired exercise capacity.