Tissue Doppler imaging to predict clinical course of patients with hypertrophic cardiomyopathy

Fatih Bayrak1, Gokhan Kahveci, Bulent Mutlu

  • 1Department of Cardiology, Yeditepe University Hospital, Kozyatagi, Istanbul, Turkey. dfatihbayrak@yahoo.com

Insights

Tissue Doppler imaging, specifically LV lateral mitral annular systolic velocity (LMSa), can predict hypertrophic cardiomyopathy (HC) patient outcomes. An LMSa velocity over 4 cm/s indicates a lower risk of clinical deterioration or death.

Area of Science:

  • Cardiology
  • Echocardiography
  • Cardiovascular Imaging

Background:

  • Hypertrophic cardiomyopathy (HC) poses risks for sudden cardiac events.
  • Predictive markers for HC clinical course are crucial for risk stratification.

Purpose of the Study:

  • To evaluate the utility of tissue Doppler (TD) imaging in predicting the clinical trajectory of patients with HC.
  • To identify specific TD parameters associated with adverse outcomes in HC.

Main Methods:

  • Prospective study of 86 HC patients followed for clinical endpoints (cardiac death, heart failure hospitalization).
  • Analysis of echocardiographic parameters, including left atrium diameter, left ventricle (LV) wall thickness, LV outflow obstruction, and TD velocities.
  • Statistical analysis using stepwise regression to identify independent predictors.

Main Results:

  • Patients with clinical endpoints showed larger left atrium, thicker LV walls, more LV outflow obstruction, and lower LV TD velocities.
  • LV outflow tract obstruction and LV lateral mitral annular systolic tissue Doppler velocity (LMSa) were independent predictors of clinical endpoints.
  • An LMSa velocity of 4 cm/s demonstrated high sensitivity (75%) and specificity (88%) for predicting clinical endpoints; velocities > 4 cm/s were associated with freedom from events.

Conclusions:

  • LMSa is a reliable parameter for predicting long-term clinical deterioration or death risk in HC patients.
  • TD imaging, particularly LMSa, offers valuable prognostic information in hypertrophic cardiomyopathy management.
Abstract

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