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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
Published on: April 11, 2025
Comparison of echocardiography and device based algorithm for atrio-ventricular delay optimization in heart block
Rajesh Vijayvergiya1, Ankur Gupta1
1Rajesh Vijayvergiya, Ankur Gupta, Department of Cardiology, Advanced Cardiac Centre, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India.
The QuickOpt algorithm offers a faster and easier method for optimizing atrio-ventricular (AV) and pulmonary vein (PV) delays in patients with complete heart block (CHB) compared to echocardiography.
Area of Science:
- Cardiology
- Biomedical Engineering
- Medical Devices
Background:
- Complete heart block (CHB) necessitates dual chamber pacemaker implantation.
- Optimizing atrio-ventricular (AV) and pulmonary vein (PV) delays is crucial for pacemaker function.
- Current optimization methods, like echocardiography, can be time-consuming.
Purpose of the Study:
- To compare the efficacy of echocardiography and the intra-cardiac electrocardiogram (IEGM) based QuickOpt algorithm for AV/PV delay optimization.
- To evaluate the time efficiency and reliability of the QuickOpt method in CHB patients.
Main Methods:
- Prospective enrollment of 20 CHB patients with dual chamber pacemakers.
- Measurement of left ventricular outflow tract velocity time-integral using both echocardiography and QuickOpt.
- Bland-Altman analysis to assess agreement between the two optimization techniques.
Main Results:
- Both methods determined optimal AV and PV delays, with QuickOpt showing slightly different values.
- A good agreement was observed between the methods for optimal AV and PV delay.
- The QuickOpt method significantly reduced optimization time (0.44 min) compared to echocardiography (45.26 min).
Conclusions:
- The IEGM-based QuickOpt method is a faster, easier, and reliable alternative for AV/PV delay optimization in CHB patients.
- This automated approach streamlines pacemaker programming.
- Potential for improved patient outcomes through efficient device management.
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