Left ventricular systolic dyssynchrony is a predictor of cardiac remodeling after myocardial infarction

Yan Zhang1, Gabriel W Yip, Anna K Y Chan

  • 1Division of Cardiology, Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, PR China.

American Heart Journal
|November 27, 2008
PubMed

Insights

Early assessment of left ventricular (LV) dyssynchrony using tissue Doppler imaging can predict progressive LV remodeling after acute myocardial infarction (MI). This novel predictor is independent and incremental to infarct size, aiding in risk stratification.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Heart Failure Research

Background:

  • Acute myocardial infarction (MI) can lead to adverse left ventricular (LV) remodeling and dysfunction.
  • Predictive markers for post-MI LV remodeling are crucial for timely intervention.
  • Conventional assessments may not fully capture the risk of progressive cardiac changes.

Purpose of the Study:

  • To evaluate if early assessment of LV dyssynchrony by tissue Doppler imaging predicts progressive ventricular enlargement and dysfunction post-MI.
  • To determine the independent and incremental predictive value of LV dyssynchrony compared to infarct size.

Main Methods:

  • Prospective study of 47 patients with normal QRS duration post-MI.
  • Tissue Doppler imaging and contrast-enhanced cardiac magnetic resonance imaging (Ce-MRI) performed at multiple time points.
  • Calculation of systolic dyssynchrony index (Ts-SD) and infarct size (IS).

Main Results:

  • Patients with LV remodeling showed significantly higher initial IS and Ts-SD.
  • Ts-SD and IS were independent predictors of progressive LV remodeling.
  • A Ts-SD cutoff of >= 45 milliseconds accurately predicted LV remodeling at 1 year (90.5% sensitivity, 90.9% specificity).

Conclusions:

  • Left ventricular systolic dyssynchrony is a novel, independent predictor of chronic LV remodeling after MI.
  • Early Ts-SD assessment provides incremental prognostic information beyond IS and conventional methods.
  • This finding may improve risk stratification and management strategies for post-MI patients.
Abstract

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