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Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
06:34

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

Published on: October 28, 2020

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Left ventricular shape predicts different types of cardiovascular events in the general population

Bharath Ambale-Venkatesh1, Kihei Yoneyama1, Ravi K Sharma1

  • 1Johns Hopkins University, Baltimore, Maryland, USA.

Heart (British Cardiac Society)
|October 4, 2016
PubMed

Insights

Sphericity volume index (SVI) predicts cardiovascular events. Low SVI indicates risk for coronary heart disease and heart failure, while extreme SVI predicts heart failure and atrial fibrillation.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Public Health

Background:

  • Left ventricular (LV) remodelling is a key factor in cardiovascular disease.
  • Sphericity volume index (SVI) is a novel indicator of LV remodelling.
  • Assessing SVI's predictive capability for cardiovascular events is crucial for risk stratification.

Purpose of the Study:

  • To determine if SVI predicts incident cardiovascular events over 10 years.
  • To investigate SVI's association with coronary heart disease (CHD), cardiovascular disease (CVD), heart failure (HF), and atrial fibrillation (AF).
  • To evaluate SVI's role in a multiethnic population.

Main Methods:

  • Utilized magnetic resonance imaging (MRI) data from 5004 participants in the Multi-Ethnic Study of Atherosclerosis (MESA).
  • Calculated SVI based on LV volume and dimensions from cine MRI.
  • Employed Cox regression to assess SVI's predictive performance for incident outcomes over a 10-year follow-up.

Main Results:

  • Low sphericity at end-diastole predicted incident CHD and CVD.
  • Both low and high sphericity at end-systole predicted incident HF.
  • High sphericity also predicted incident AF.
  • Low sphericity correlated with higher CVD risk factors.

Conclusions:

  • Lowest sphericity predicts incident CHD, CVD, and HF in a multiethnic population.
  • Extreme sphericity (both low and high) strongly predicts incident HF and AF.
  • SVI improved risk prediction models specifically for HF, but not for overall CVD or CHD.
Abstract

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