Non-invasive assessment of left ventricular filling pressure in aortic stenosis

Hiroyuki Aoyagi1, Hiroyuki Iwano2,3, Yoji Tamaki1

  • 1Department of Cardiovascular Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.

Insights

The VMT score effectively predicts elevated left ventricular filling pressure in aortic stenosis patients, improving diagnostic accuracy over standard algorithms. This echocardiographic tool offers a valuable alternative for managing these patients.

Area of Science:

  • Cardiology
  • Echocardiography
  • Cardiovascular Imaging

Background:

  • Accurate assessment of left ventricular (LV) filling pressure (FP) is crucial for managing aortic stenosis (AS) patients.
  • Standard methods for predicting LV FP in AS are often limited by mitral annular calcification and left ventricular hypertrophy.
  • This study evaluates a novel echocardiographic scoring system for LV FP prediction in AS.

Purpose of the Study:

  • To test the predictive ability of a new algorithm for elevated LV FP in AS patients.
  • To assess a visually assessed time difference between mitral and tricuspid valve opening (VMT) score for predicting LV FP.
  • To improve diagnostic accuracy for LV FP in AS using echocardiography.

Main Methods:

  • 116 patients with moderate AS underwent right heart catheterization and echocardiography.
  • Mean pulmonary artery wedge pressure (PAWP) served as the invasive measure of LV FP.
  • The VMT score was calculated based on the timing of mitral and tricuspid valve opening, with adjustments for inferior vena cava dilation.

Main Results:

  • The standard algorithm showed low specificity and positive predictive value for elevated PAWP.
  • The VMT score (≥2) demonstrated good performance in predicting elevated PAWP (sensitivity 59%, specificity 90%, PPV 59%).
  • An alternative algorithm incorporating tricuspid regurgitation velocity and VMT scores significantly improved predictive ability.

Conclusions:

  • The VMT score is a practical tool for assessing AS patients.
  • Integrating the VMT score enhances the diagnostic accuracy of guideline-recommended algorithms for LV FP.
  • The VMT score offers a valuable non-invasive method for managing AS patients.
Abstract

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