Case Report Demonstrates How vMap Enhances Accuracy and Reduces Risk in Pacemaker Implantation

Vektor Medical, a leader in non-invasive, AI-powered arrhythmia analysis technology, announced the publication of a groundbreaking case in Heart Rhythm Case Reports. Conducted by physicians from the University of California San Diego (UCSD), the case details the first successful use of AI-enabled ECG mapping to guide left bundle branch area pacing (LBBAP) implantation. Findings highlight how vMap, a non-invasive AI-powered mapping technology, enhances procedural efficiency, accuracy, and patient safety during LBBAP lead positioning.

“This case report illustrates how AI-driven ECG mapping can be seamlessly integrated into LBBAP procedures, enhancing accuracy while reducing procedural risks.” Dr. Ulrika Birgersdotter-Green

As LBBAP becomes a preferred physiologic pacing technique, vMap has the potential to offer a transformative approach by reducing fluoroscopy exposure and eliminating the need for contrast agents – critical factors in enhancing patient safety and procedural outcomes.

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The patient in the case report, a 90-year-old male with advanced chronic kidney disease and a severe iodinated contrast allergy, underwent a dual-chamber LBBAP implantation as physicians used vMap for peri-procedural AI-driven guidance. The procedure was completed successfully with minimized fluoroscopy time and without contrast injection, mitigating risks associated with traditional approaches for the patient and physician.

Procedure Highlights:

  • vMap provided peri-procedural, AI-driven guidance to position the lead accurately on the RV septum.
  • vMap compared the patient’s QRS morphology with a digital reference library of thousands of cardiac simulations of right ventricular pacing, helping localize the lead tip within the heart.
  • Successful lead placement was achieved with confirmed left bundle capture, reducing reliance on traditional fluoroscopic imaging.
  • vMap’s ability to store and analyze paced QRS morphology enabled more efficient mapping, particularly in cases where the ideal pacing site was not immediately encountered.

“This case report illustrates how AI-driven ECG mapping can be seamlessly integrated into LBBAP procedures, enhancing accuracy while reducing procedural risks,” said Dr. Ulrika Birgersdotter-Green, Director of Pacemaker and ICD Services at UC San Diego Health and a case report co-author. “By leveraging vMap’s advanced mapping capabilities, we can improve implantation accuracy and safety, particularly for high-risk patients.”

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The case report underscores vMap’s ability to transform cardiac pacing workflows while prioritizing patient safety. As the only FDA-cleared, non-invasive AI-based solution for mapping arrhythmias and analyzing atrial and ventricular pacing via a standard 12-lead ECG, vMap represents a significant advancement in electrophysiology.

“This case is the first time vMap has been used to help guide LBBAP implantation. In addition to the positive procedural benefits, it’s a very clear demonstration of the potential for vMap to more broadly improve cardiac care and advance various cardiac interventions,” said Rob Krummen, CEO of Vektor Medical.

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Source – businesswire