Mechanisms of left ventricular dyssynchrony: A multinational SPECT study of patients with bundle branch block

Saara Sillanmäki1,2, Alessia Gimelli3, Shahzad Ahmad4

  • 1Institute of Clinical Medicine, University of Eastern Finland, Joensuu, Finland.

Insights

Left ventricular mechanical dysfunction, not QRS duration, significantly contributes to left ventricular mechanical dyssynchrony (LVMD) in LBBB and RBBB patients. Ejection fraction is a key predictor of LVMD.

Area of Science:

  • Cardiology
  • Cardiac Imaging
  • Electrophysiology

Background:

  • Left ventricular mechanical dyssynchrony (LVMD) is a critical factor in heart failure.
  • Understanding the underlying mechanisms of LVMD is essential for effective treatment strategies.
  • Conduction abnormalities like left bundle branch block (LBBB) and right bundle branch block (RBBB) are associated with LVMD.

Purpose of the Study:

  • To investigate the relative contributions of QRS duration (QRSd), left ventricular ejection fraction (EF), volumes, and myocardial scar to LVMD.
  • To compare these factors in patients with LBBB and RBBB against a control group.
  • To identify key predictors of LVMD.

Main Methods:

  • Analysis of myocardial perfusion imaging studies from 275 LBBB patients, 83 RBBB patients, and 172 controls.
  • LVMD was quantified using phase bandwidth and phase standard deviation from gated single-photon emission tomography.
  • Statistical analysis included variance explained and receiver operating characteristic (ROC) analysis.

Main Results:

  • Prevalence of LVMD was 85% in LBBB and 40% in RBBB.
  • Ejection fraction, scar severity, and LBBB morphology explained 70% of the variance in PhaseBW.
  • Ejection fraction showed high predictive value (AUC 0.918) for LVMD, with an optimal cutoff of 47%; QRSd was not predictive.

Conclusions:

  • Left ventricular mechanical dysfunction, particularly reduced ejection fraction, is a more significant driver of LVMD than conduction abnormalities like QRS duration.
  • These findings challenge the current emphasis on QRSd as the primary predictor for cardiac resynchronization therapy (CRT) response.
  • Further research is needed to refine predictors of CRT response and optimize patient selection.
Abstract

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