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Updated: Jan 23, 2026

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
Published on: October 28, 2020
Prediction of Ventricular Arrhythmias With Left Ventricular Mechanical Dispersion: A Systematic Review and
Hiroshi Kawakami1, Nitesh Nerlekar1, Kristina H Haugaa2
1Baker Heart and Diabetes Institute, Melbourne, Australia.
Insights
Left ventricular mechanical dispersion (LVMD) is a strong predictor of ventricular arrhythmias (VAs). Higher LVMD levels significantly increase the risk of VA events, outperforming traditional markers like ejection fraction for patient risk stratification.
Area of Science:
- Cardiology
- Biomedical Engineering
- Medical Imaging
Background:
- Left ventricular mechanical dispersion (LVMD) assessed by speckle tracking shows promise for ventricular arrhythmia (VA) risk stratification.
- Existing studies are primarily single-center, necessitating a comprehensive analysis.
Purpose of the Study:
- To systematically review and meta-analyze the association between LVMD and the incidence of VA.
- To compare the prognostic value of LVMD against other cardiac parameters.
Main Methods:
- Systematic review and meta-analysis of studies reporting LVMD's predictive value for VA.
- VA events defined as sudden cardiac death, cardiac arrest, ventricular tachyarrhythmia, or appropriate ICD therapy.
- Extracted hazard ratios from univariate and multivariate models; compared LVMD with LVEF and GLS.
Main Results:
- Included 3,198 patients from 12 studies; 12% experienced VA events.
- Patients with VA had significantly greater LVMD (weighted mean difference -20.3 ms).
- Each 10 ms increase in LVMD independently associated with higher VA risk (HR 1.19).
Conclusions:
- LVMD assessed by speckle tracking is a valuable predictor of VA across various cardiac conditions.
- LVMD demonstrates superior predictive value compared to LVEF and GLS for VA risk stratification.
Objectives:
The aim of this study was to assess the association between left ventricular mechanical dispersion (LVMD) and the incidence of ventricular arrhythmias (VAs).
Background:
Recent, mainly single-center, studies have demonstrated that LVMD assessed using speckle tracking might be a powerful marker in risk stratification for VA. A systematic review and meta-analysis provides a means of understanding the prognostic value of this parameter, relative to other parameters, the most appropriate cutoff for designating risk.
Methods:
A systemic review of studies reporting the predictive value of LVMD for VA was undertaken from a search of MEDLINE and Embase. VA events were defined as sudden cardiac death, cardiac arrest, documented ventricular tachyarrhythmia, and appropriate implantable cardioverter-defibrillator (ICD) therapy. Hazard ratios were extracted from univariate and multivariate models reporting on the association of LVMD and VA and described as pooled estimates with 95% confidence intervals. In a meta-analysis, the predictive value of LVMD was compared with that of left ventricular ejection fraction and global longitudinal strain.
Results:
Among 3,198 patients in 12 published studies, 387 (12%) had VA events over follow-up ranging from 17 to 70 months. Patients with VAs had greater LVMD than those without (weighted mean difference -20.3 ms; 95% confidence interval: -27.3 to -13.2; p < 0.01). Each 10 ms increment of LVMD was significantly and independently associated with VA events (hazard ratio: 1.19; 95% confidence interval: 1.09 to 1.29; p < 0.01). The predictive value of LVMD was superior to that of left ventricular ejection fraction or global longitudinal strain.
Conclusions:
LVMD assessed using speckle tracking provides important predictive value for VA in patients with a number of cardiac diseases and appears to have superior predictive value over left ventricular ejection fraction and global longitudinal strain for risk stratification.
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