Left ventricular ejection fraction determines the pattern of left atrial remodeling in patients with heart failure

Federico García-Rodeja Arias1,2, Sonia Eiras2,3,4, Begoña Cardeso Paredes2,3

  • 1Cardiology Department, Hospital Universitario de Santiago de Compostela, Santiago de Compostela, A Coruña, Spain.

Insights

Left atrial remodeling worsens with declining left ventricular ejection fraction (LVEF) in heart failure (HF) patients without atrial fibrillation (AF). This structural change correlates with biomarkers indicating hemodynamic overload and fibrosis.

Area of Science:

  • Cardiology
  • Cardiac Imaging
  • Biomarker Analysis

Background:

  • Left atrial remodeling is a key factor in heart failure (HF) progression, independent of atrial fibrillation (AF).
  • Mechanisms and extent of atrial remodeling across the spectrum of left ventricular ejection fraction (LVEF) are not fully understood.
  • This study investigates atrial changes in HF patients without AF.

Purpose of the Study:

  • To characterize anatomical and functional left atrial changes in heart failure patients without AF.
  • To correlate imaging findings with plasma biomarker profiles.
  • To assess the impact of LVEF on atrial remodeling.

Main Methods:

  • Prospective study of 264 ambulatory HF patients without prior AF.
  • Transthoracic echocardiography for functional left atrial analysis.
  • Plasma biomarker assessment and LVEF classification (preserved, mildly reduced, reduced).

Main Results:

  • Reduced LVEF associated with larger atrial volumes, lower reservoir strain, impaired conduit function, and higher atrial stiffness.
  • Elevated natriuretic peptides, extracellular matrix proteins, and inflammation markers observed.
  • Atrial strain correlated with fibrosis, inflammation, and wall stress markers, especially in lower LVEF groups.

Conclusions:

  • Atrial remodeling severity escalates with decreasing LVEF in HF patients without AF.
  • Remodeling aligns with biomarkers of hemodynamic overload and fibrosis.
  • Integrating imaging and molecular data may enhance HF risk stratification and phenotyping.
Abstract

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