A Device Histogram-Based Simple Predictor of Mortality Risk in ICD and CRT-D Patients: The Heart Rate Score

Bruce L Wilkoff1, Mark Richards2, Arjun Sharma3

  • 1Cleveland Clinic Foundation, Cleveland, Ohio.

Insights

A novel Heart Rate Score derived from device data predicts survival in patients with implantable cardioverter defibrillators (ICDs) and cardiac resynchronization therapy defibrillators (CRT-Ds). This simple measure offers valuable prognostic information independent of other clinical factors.

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Medical Devices

Background:

  • Implantable cardioverter defibrillators (ICDs) and cardiac resynchronization therapy defibrillators (CRT-Ds) are crucial for managing heart conditions.
  • Predicting patient survival is essential for optimizing device therapy and patient care.

Purpose of the Study:

  • To investigate if a baseline Heart Rate Score predicts survival in ICD and CRT-D patients.
  • To determine the independence of Heart Rate Score as a prognostic marker.

Main Methods:

  • Heart Rate Score was calculated from atrial paced and sensed histograms in DDD ICD/CRT-D devices.
  • Data from 57,893 ICDs and 67,929 CRT-Ds implanted between 2006-2011 were analyzed.
  • Univariate, multivariate, and Kaplan-Meier analyses assessed the impact of Heart Rate Score on survival.

Main Results:

  • Each 10% increase in Heart Rate Score was associated with decreased survival in both ICD and CRT-D patients (P < 0.0001).
  • Multivariate analysis confirmed that age, atrial fibrillation, first-year shocks, and programmed pacing rates impacted survival.
  • Heart Rate Score independently predicted survival, even when heart rate variability (SDANN) was unavailable.

Conclusions:

  • The Heart Rate Score is a simple, device-based metric that effectively predicts survival in ICD and CRT-D recipients.
  • This score provides prognostic value independent of traditional clinical variables and heart rate variability measures.
  • The Heart Rate Score offers a practical tool for risk stratification in patients with cardiac implantable electronic devices.
Abstract

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