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Published on: December 11, 2017
Optimization of cardiac resynchronization therapy: importance of programmed parameters
Frank A Cuoco1, Michael R Gold
1Division of Cardiology, Department of Medicine, the Medical University of South Carolina, Charleston, South Carolina 29425, USA. cuoco@musc.edu
Optimizing cardiac resynchronization therapy (CRT) involves adjusting atrioventricular (AV) and interventricular (VV) delays. Current methods show limited long-term clinical benefit and reproducibility, necessitating further research.
Area of Science:
- Cardiology
- Biomedical Engineering
Background:
- Cardiac resynchronization therapy (CRT) relies on optimizing programmed parameters for maximum patient benefit.
- Atrioventricular (AV) and interventricular (VV) timing intervals are key parameters for CRT optimization.
- Existing optimization techniques often lack robust long-term clinical validation and reproducibility.
Purpose of the Study:
- To review and evaluate various techniques for optimizing cardiac resynchronization therapy (CRT).
- To assess the clinical value and limitations of different AV and VV delay optimization methods.
- To discuss the potential and drawbacks of device-based algorithms for CRT optimization.
Main Methods:
- Review of existing literature on CRT optimization techniques.
- Analysis of echocardiography-guided methods for AV and VV delay optimization.
- Evaluation of device-based algorithms for automated CRT parameter adjustment.
Main Results:
- Numerous techniques exist for optimizing AV and VV delays in CRT.
- Many methods demonstrate acute hemodynamic improvements but lack long-term clinical data.
- Echocardiography-guided methods are common but not demonstrably superior and can be time-consuming.
- Device-based algorithms offer speed but their clinical utility remains debated.
Conclusions:
- Optimization of CRT parameters, including AV and VV delays, is crucial for therapeutic success.
- Current optimization techniques present challenges in reproducibility and long-term clinical validation.
- Further research is needed to establish superior and reproducible methods for CRT optimization.
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