Doppler Echocardiography for the Estimation of LV Filling Pressure in Patients With Mitral Annular Calcification

Muaz M Abudiab1, Lakshmi H Chebrolu1, Robert C Schutt1

  • 1Cardiovascular Imaging Center, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas.

Insights

Doppler echocardiography can accurately assess left ventricular filling pressure (LVFP) in patients with mitral annular calcification (MAC). A new algorithm using mitral E/A ratio and isovolumic relaxation time (IVRT) is effective for predicting LVFP in MAC patients.

Area of Science:

  • Cardiology
  • Echocardiography
  • Medical Diagnostics

Background:

  • Assessing left ventricular filling pressure (LVFP) in patients with mitral annular calcification (MAC) presents significant challenges.
  • Standard echocardiographic methods may be unreliable in the presence of MAC.

Purpose of the Study:

  • To identify specific Doppler echocardiographic parameters for assessing LVFP in patients with MAC.
  • To develop and validate a decision algorithm for accurate LVFP estimation in this population.

Main Methods:

  • Prospective study involving 50 MAC patients undergoing Doppler echocardiography and cardiac catheterization.
  • Correlation analysis of standard and nonstandard Doppler parameters with invasive LVFP measurements.
  • Classification and regression tree analysis to create a predictive algorithm for LVFP.

Main Results:

  • The mitral E/A ratio was the strongest predictor of LVFP (r=0.66, p<0.001) across all MAC severities.
  • The E/e' ratio showed a weak correlation with LVFP (r=0.42, p=0.003).
  • A decision algorithm using mitral E/A and isovolumic relaxation time (IVRT) demonstrated high specificity (100%) and positive predictive value (100%) for high LVFP, with 94% diagnostic accuracy upon validation.

Conclusions:

  • The E/e' ratio is not recommended for LVFP estimation in patients with significant MAC.
  • Mitral E/A ratio and IVRT are valuable Doppler parameters for predicting LVFP in MAC.
  • The developed decision algorithm accurately estimates LVFP in patients with MAC.
Abstract

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