Role of echocardiographic dyssynchrony parameters in predicting response to cardiac resynchronization therapy

Stefano Maffè1, Paola Paffoni, Pierfranco Dellavesa

  • 1aDivision of Cardiology, SS Trinità Borgomanero Hospital bElectrophysiology and Cardiostimulation Laboratory, Policlinico di Monza Group cMedical Direction, SS Trinità Borgomanero Hospital, Novara, Italy.

Insights

New echocardiographic parameters, including 3D-SDI and radial strain, accurately predict response to cardiac resynchronization therapy (CRT). Combining these with interventricular mechanical delay (IVMD) further improves prediction accuracy for heart failure patients.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Heart Failure Management

Background:

  • Cardiac resynchronization therapy (CRT) is a treatment for heart failure patients with electrical dyssynchrony.
  • Predicting CRT response is crucial for optimizing patient outcomes.
  • Echocardiography offers various parameters to assess cardiac dyssynchrony.

Purpose of the Study:

  • To compare different echocardiographic parameters of intraventricular and interventricular dyssynchrony.
  • To identify novel parameters that accurately predict response to CRT.
  • To evaluate the combined diagnostic accuracy of new and existing parameters.

Main Methods:

  • Seventy-seven heart failure patients scheduled for CRT were analyzed.
  • Interventricular mechanical delay (IVMD) and six intraventricular dyssynchrony parameters were measured.
  • Parameters included 3D-SDI, TDI septum-lateral wall delay, and speckle-tracking strain (radial, circumferential, longitudinal).

Main Results:

  • At 6 months, 79% of patients responded to CRT.
  • 3D-SDI, radial, longitudinal, and circumferential strain, and IVMD were significantly higher in responders.
  • Only IVMD showed a significant association with CRT response on multivariate analysis.
  • Combined 3D-SDI + IVMD and radial strain + IVMD demonstrated high sensitivity and specificity (76-88%).

Conclusions:

  • Novel echocardiographic parameters like 3D-SDI and speckle-tracking radial strain improve the identification of CRT responders.
  • The addition of IVMD to these parameters enhances diagnostic accuracy.
  • These findings support the use of advanced echocardiographic techniques for personalized CRT selection.
Abstract

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