The relation between left ventricular systolic function parameters and preceding or prepreceding beat-to-beat

Serkan Dilmen1, Mehmet Uzun2, Tufan Çınar3

  • 1Department of Cardiology, Manisa Demirci State Hospital, Manisa, Turkey.

Insights

New parameters analyzing left ventricular (LV) systolic function and preceding beat intervals (RR1) show promise for detecting heart failure with reduced ejection fraction (HFrEF) in patients with atrial fibrillation (AF). These novel metrics may aid in evaluating systolic dysfunction in this population.

Area of Science:

  • Cardiology
  • Cardiac Electrophysiology
  • Heart Failure Research

Background:

  • Atrial fibrillation (AF) complicates the assessment of systolic function in heart failure with reduced ejection fraction (HFrEF).
  • Understanding the relationship between cardiac cycle length variability and left ventricular (LV) systolic performance is crucial for HFrEF management.

Purpose of the Study:

  • To investigate the association between LV systolic parameters and preceding beat-to-beat intervals (RR1 and RR2).
  • To determine if this relationship differs in HFrEF patients with AF.
  • To identify novel parameters predictive of HFrEF in the presence of AF.

Main Methods:

  • Linear regression analysis was used to examine the relationship between LV systolic parameters (VLVOT, LAVPD, Lateral S') and preceding beat-to-beat intervals (RR1, RR2).
  • Key regression parameters (slope, constant, r2) were derived.
  • Kendall rank correlation analysis assessed the correlation of these parameters with left ventricular ejection fraction (LVEF).

Main Results:

  • In HFrEF patients, regression analysis between RR1 and LV systolic parameters (VLVOT, LAVPD, Lateral S') showed higher slopes and r2 values, and lower constants.
  • Regression parameters (slope, constant, r2) between RR1 and VLVOT or Lateral S' significantly correlated with LVEF.
  • Specific parameters (r2 of VLVOT-RR1, slope of VLVOT-RR1, slope of Lateral S'-RR1) were predictive of HFrEF.

Conclusions:

  • Novel parameters derived from linear regression analysis of LV systolic function and RR1 intervals (not RR2) may be valuable for evaluating systolic heart failure in AF patients.
  • These findings suggest potential for future research into the pathophysiology and prognosis of heart conditions in patients with AF.