Asymptomatic vs. symptomatic atrial fibrillation: Clinical outcomes in heart failure patients

Role of epicardial adipose tissue in cardiac remodeling

Epicardial adipose tissue, or epicardial fat, is a type of visceral fat located between the heart and the pericardium. Due to its anatomical proximity to the heart, EAT plays a significant role in both cardiac physiology and pathologies, including cardiac remodeling and cardiovascular diseases (CVD). However, our understanding of how EAT pathology is influenced by risk factors such as obesity and type 2 diabetes mellitus and how altered EAT can drive cardiac remodeling and CVD, remains limited. Herein, we aimed to summarize and discuss the latest findings on EAT and its role in cardiac remodeling, highlighting the outcomes of clinical and observational studies, provide mechanistic insights, and finally introduce emerging therapeutic agents and nutritional guidelines aimed at preventing these conditions.

Clinical decisions for appropriate management of patients with atrial fibrillation

The management of patients with atrial fibrillation (AF) requires intricate clinical decision-making to optimize outcomes. In everyday clinical practice, physicians undergo difficult choices to better manage patients with AF. They need to balance thromboembolic and bleeding risk to focus on patients' symptoms and to manage a variety of multiple comorbidities. In this review, we aimed to explore the multifaceted dimensions of clinical decision-making in AF patients, encompassing the definition and diagnosis of clinical AF, stroke risk stratification, oral anticoagulant therapy selection, consideration of bleeding risk, and the ongoing debate between rhythm and rate control strategies. We will also focus on possible grey zones for the management of AF patients. In navigating this intricate landscape, clinicians must reconcile the dynamic interplay of patient-specific factors, evolving guidelines, and emerging therapies. The review underscores the need for personalized, evidence-based clinical decision-making to tailor interventions for optimal outcomes according to specific AF patient profiles.

Atrial Fibrillation and Heart Failure With Reduced Ejection Fraction: New Assessment of an Old Problem

Atrial fibrillation (AF) and heart failure (HF)-specifically, heart failure with reduced ejection fraction (HFrEF)-often coexist, and each contributes to the propagation of the other. This relationship extends from the mechanistic and physiological to clinical syndromes, quality of life, and long-term cardiovascular outcomes. The risk factors for AF and HF overlap and create a critical opportunity to prevent adverse outcomes among patients at greatest risk for either condition. Increasing recognition of the linkages between AF and HF have led to widespread interest in designing diagnostic, predictive, and interventional strategies targeting all aspects of disease, from identifying genetic predisposition to addressing social determinants of health. Advances across this spectrum culminated in updated multisociety guidelines for management of AF, which includes specific consideration of comorbid AF and HF. This review expands on these guidelines by further highlighting relevant clinical trial findings and providing additional context for the evolving recommendations for management in this important and growing population.

Systematic review and meta-analysis on the impact on outcomes of device algorithms for minimizing right ventricular pacing

AIMS

Physiological activation of the heart using algorithms to minimize right ventricular pacing (RVPm) may be an effective strategy to reduce adverse events in patients requiring anti-bradycardia therapies. This systematic review and meta-analysis aimed to evaluate current evidence on clinical outcomes for patients treated with RVPm algorithms compared to dual-chamber pacing (DDD).

METHODS AND RESULTS

We conducted a systematic search of the PubMed database. The predefined endpoints were the occurrence of persistent/permanent atrial fibrillation (PerAF), cardiovascular (CV) hospitalization, all-cause death, and adverse symptoms. We also aimed to explore the differential effects of algorithms in studies enrolling a high percentage of atrioventricular block (AVB) patients. Eight studies (7229 patients) were included in the analysis. Compared to DDD pacing, patients using RVPm algorithms showed a lower risk of PerAF [odds ratio (OR) 0.74, 95% confidence interval (CI) 0.57-0.97] and CV hospitalization (OR 0.77, 95% CI 0.61-0.97). No significant difference was found for all-cause death (OR 1.01, 95% CI 0.78-1.30) or adverse symptoms (OR 1.03, 95% CI 0.81-1.29). No significant interaction was found between the use of the RVPm strategy and studies enrolling a high percentage of AVB patients. The pooled mean RVP percentage for RVPm algorithms was 7.96% (95% CI 3.13-20.25), as compared with 45.11% (95% CI 26.64-76.38) of DDD pacing.

CONCLUSION

Algorithms for RVPm may be effective in reducing the risk of PerAF and CV hospitalization in patients requiring anti-bradycardia therapies, without an increased risk of adverse symptoms. These results are also consistent for studies enrolling a high percentage of AVB patients.