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Comparative Diagnostic Efficacy of HeartLogic and TriageHF Algorithms in Remote Monitoring of Heart Failure: A Cohort

David Ledesma Oloriz1, Daniel García Iglesias1,2, Rodrigo Ariel di Massa Pezzutti1,2

  • 1Arrhythmia Unit, Cardiology Department, Hospital Universitario Central de Asturias, 33011 Oviedo, Spain.

Journal of Cardiovascular Development and Disease
|June 25, 2025
PubMed

Insights

The TriageHF algorithm shows higher sensitivity and positive predictive value for heart failure decompensation alerts than HeartLogic, but generates more alarms. HeartLogic offers better specificity, crucial for optimizing remote patient monitoring strategies.

Area of Science:

  • Biomedical Engineering
  • Cardiology
  • Medical Device Technology

Background:

  • Implantable defibrillator devices (ICDs) enable remote monitoring for heart failure (HF) management.
  • TriageHF and HeartLogic algorithms estimate HF decompensation risk using ICD data.
  • Comparative studies evaluating both algorithms head-to-head are lacking.

Purpose of the Study:

  • To compare the diagnostic accuracy of the TriageHF and HeartLogic algorithms.
  • To evaluate the performance of two distinct HF decompensation risk estimation algorithms in a comparable patient cohort.

Main Methods:

  • A descriptive monocentric cohort study involving 64 patients with ICDs featuring TriageHF or HeartLogic.
  • Data collected between January 2020 and June 2022.
  • Analysis of 1142 alarms, with 27 patients in the HeartLogic group and 37 in the TriageHF group.

Main Results:

  • The TriageHF group exhibited a significantly higher risk alarm-to-patient ratio (3.32 ± 3.08) compared to HeartLogic (1.31 ± 1.89).
  • TriageHF demonstrated higher sensitivity (0.97) and positive predictive value (PPV) (0.18) but lower specificity (0.76) than HeartLogic.
  • Both algorithms showed similar negative predictive value (NPV) and no significant difference in 30-day survival post-alert.

Conclusions:

  • TriageHF offers superior sensitivity and PPV, potentially identifying more at-risk patients but generating more alarms.
  • HeartLogic provides better specificity, reducing false alarms and potentially streamlining patient follow-up.
  • Algorithm selection should consider the trade-offs between sensitivity, specificity, and alarm burden for optimized home monitoring.
Abstract

Keywords:
Heart LogicTriageHFheart failureimplantable cardiac defibrillator

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