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.
Abstract

Related Concept Videos

ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias

Arrhythmia is a condition characterized by an irregular heart rhythm, with ECG changes that differ based on its origin and nature. The types of arrhythmias discussed below include atrial, junctional, and ventricular arrhythmias.Atrial ArrhythmiasPremature Atrial Complexes (PACs): PACs are early atrial beats caused by stress, caffeine, alcohol, electrolyte imbalances, hypoxia, hyperthyroidism, or certain medications (e.g., bronchodilators and decongestants). The ECG shows early P waves with an...
492
Mechanism of Cardiac Arrhythmias01:28

Mechanism of Cardiac Arrhythmias

Arrhythmias are irregular heart rhythms occurring when the heart's electrical impulses become abnormal. These disturbances can lead to various symptoms, depending on their severity and the underlying cause. Some common factors contributing to arrhythmias include hypoxia, ischemia, electrolyte imbalances, excessive catecholamine exposure, drug toxicity, and muscle overstretching. Arrhythmias can be classified into two main types based on the rate and site of origin of abnormal heart rhythms.
1.7K
ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

Arrhythmias are disturbances in the heart's rhythm that lead to abnormal heartbeats. These irregularities can originate from different parts of the heart and are classified based on their origin and nature.
Types of Arrhythmias
Sinus Node Arrhythmias
Sinus Bradycardia: Originating from the sinoatrial (SA) node, sinus bradycardia involves slower impulses, resulting in a heart rate of less than 60 beats per minute (bpm). Causes include sleep, vagal stimulation, beta-blockers, hypothyroidism,...
787
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.3K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
10.9K
Distribution and Dispersion00:54

Distribution and Dispersion

To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
24.5K