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Rationale and Design of the Personalized Therapy Study: Evaluating Real-World Performance of Two Automated
Raymond Yee1, Charles J Love2, Daniel W Kaiser3
1Department of Medicine, Western University, London, Ontario, Canada.
Journal of Cardiac Failure
|December 18, 2024
Summary
This study evaluates two algorithms, intrinsic antitachycardia pacing (iATP) and TriageHF, to improve real-time patient care with implantable defibrillation devices and early heart failure (HF) risk identification.
Area of Science:
- Cardiology
- Medical Devices
- Digital Health
Background:
- Limited real-time tailoring of antitachycardia pacing (ATP) and early identification of heart failure (HF) risk hinder implantable defibrillation device efficacy.
- The Personalized Therapy study addresses these barriers using novel algorithms.
Purpose of the Study:
- To evaluate the real-world performance of intrinsic ATP (iATP) and TriageHF algorithms.
- To assess the ability of iATP to tailor antitachycardia pacing and TriageHF to identify patients at risk for heart failure events.
Main Methods:
- Prospective, multicenter, post-market registry study.
- Enrollment of approximately 2200 patients with study-eligible devices, enrolled in the Medtronic CareLink Network.
- Evaluation of iATP and TriageHF algorithms, with TriageHF High-Risk Alerts enabled.
Main Results:
- Primary objectives include demonstrating iATP effectiveness in the fast ventricular tachycardia zone.
- Estimation of the positive predictive value of TriageHF high-risk status for worsening HF.
- Characterization of iATP effectiveness across all ventricular detection zones and TriageHF-based clinical actions.
Conclusions:
- The study is expected to provide real-world evidence on iATP and TriageHF algorithm performance.
- These algorithms aim to enhance clinical practice by personalizing arrhythmia and HF therapies.
Keywords:
Implantable cardioverter defibrillatorTriageHFautomatedcardiac resynchronization therapy—defibrillatorintrinsic ATPpersonalized therapy
