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Related Experiment Videos

An adaptive interval-based algorithm for withholding ICD therapy during sinus tachycardia.

Robert W Stadler1, Bruce D Gunderson, Jeffrey M Gillberg

  • 1Medtronic, Inc., Cardiac Rhythm Management, Minneapolis, Minnesota 55432, USA. robert.stadler@medtronic.com

Pacing and Clinical Electrophysiology : PACE
|May 27, 2003
PubMed
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A new adaptive algorithm for implantable cardioverter-defibrillators (ICDs) significantly reduces inappropriate therapy for supraventricular tachycardia (SVT) while maintaining high sensitivity for ventricular tachycardia/fibrillation (VT/VF). This improves patient safety and comfort during tachycardia episodes.

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Medical Devices

Background:

  • Implantable cardioverter-defibrillators (ICDs) face challenges in distinguishing between life-threatening ventricular tachycardia/fibrillation (VT/VF) and benign supraventricular tachycardias (SVTs) like sinus tachycardia (ST).
  • Inappropriate ICD therapy delivery during ST, often due to long PR intervals or far-field R-wave oversensing, causes significant patient distress.
  • Existing algorithms in devices like the Medtronic GEM DR (Model 7271) require refinement to improve specificity without compromising sensitivity for VT/VF.

Purpose of the Study:

  • To develop and evaluate an adaptive, interval-based algorithm for withholding ICD therapy during ST in dual-chamber ICDs.
  • To compare the performance of this novel adaptive algorithm against the original ST withholding algorithm in the Medtronic GEM DR device.
  • To enhance the accuracy of ICDs in identifying and appropriately managing different types of tachycardias.

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Main Methods:

  • An adaptive algorithm was designed using a combination of 1:1 atrial-ventricular conduction, RR interval variations, and intrinsic PR interval changes to detect ST.
  • The performance of the adaptive algorithm was compared to the original algorithm using three databases from implanted GEM DR devices, including spontaneous VT/VF, inappropriate SVT therapy, and ST/AT episodes.
  • VT/VF therapy withholding was assessed based on the persistence of ST evidence, with predicted performance evaluated for certain datasets.

Main Results:

  • The adaptive algorithm demonstrated high sensitivity for VT/VF, withholding therapy in only 3 of 684 true VT/VF episodes, compared to 5 episodes by the original algorithm.
  • The adaptive algorithm achieved an incremental specificity of 35.2% by appropriately withholding therapy for 76 of 216 true SVT episodes.
  • Specifically for ST/AT with long PR intervals and far-field R-wave oversensing, the adaptive algorithm reduced inappropriate therapy by 63.2%.

Conclusions:

  • The developed adaptive interval-based algorithm effectively distinguishes between ST and VT/VF, significantly improving specificity.
  • This algorithm enhances patient safety and reduces the burden of inappropriate ICD shocks during supraventricular tachycardias.
  • The findings support the integration of adaptive algorithms into ICDs for more precise tachycardia management.