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Related Experiment Videos

Tailoring cardiac resynchronization therapy using interventricular asynchrony. Validation of a simple model.

Xander A A M Verbeek1, Angelo Auricchio, Yinghong Yu

  • 1Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands.

American Journal of Physiology. Heart and Circulatory Physiology
|September 21, 2005
PubMed
Summary

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Interventricular asynchrony (interVA) measurements accurately predict optimal cardiac resynchronization therapy (CRT) settings. This pathway model guides individualized CRT optimization for improved patient hemodynamics.

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Physiology

Background:

  • Cardiac resynchronization therapy (CRT) aims to improve heart function in patients with heart failure.
  • Interventricular asynchrony (interVA) is a key factor influencing CRT efficacy.
  • A simple pathway model of ventricular conduction provides a basis for optimizing CRT.

Purpose of the Study:

  • To explore the use of interventricular asynchrony (interVA) for optimizing cardiac resynchronization therapy (CRT).
  • To validate a pathway model for predicting optimal interVA in CRT patients.
  • To compare hemodynamic responses to different pacing strategies based on interVA.

Main Methods:

  • Measurements of intraventricular asynchrony (intraVA) using LV endocardial activation maps in dogs.

Related Experiment Videos

  • Hemodynamic measurements (LV dP/dt(max), PP) and interVA during LV, RV, and BiV pacing in dogs and patients.
  • Analysis of interVA during various pacing configurations and AV delays in 29 patients.

    • Main Results:

    • Canine model supported optimal resynchronization at ~50% intraVA reduction and specific interVA values.
    • Individualized interVA (interVA(p)) varied widely in patients but was accurately predicted by the model.
    • BiV pacing did not always achieve maximal hemodynamic response; LV pacing at short AV delay showed better-than-predicted results.

    Conclusions:

    • Interventricular asynchrony (interVA) measurements accurately predict optimal hemodynamic performance in individual CRT patients.
    • A simple pathway model effectively guides interVA-based CRT optimization.
    • Further factors beyond interVA may influence hemodynamics during LV preexcitation.