Pre-emptive treatment of heart failure exacerbations in patients managed with the HeartLogic algorithm

Rodrigue Garcia1,2, Daniel Gras3, Jacques Mansourati4

  • 1Department of Cardiology, University Hospital of Poitiers, Poitiers, France.

ESC Heart Failure
|January 18, 2024
PubMed

Insights

This study evaluates the HeartLogic™ algorithm for predicting heart failure (HF) episodes. Remote monitoring of the HeartLogic™ index enables pre-emptive treatment, aiming to reduce hospitalizations in HF patients.

Area of Science:

  • Cardiology
  • Biomedical Engineering

Background:

  • Heart failure (HF) affects millions globally, causing high mortality and healthcare costs.
  • Current management often involves reactive treatment of decompensation.
  • The HeartLogic™ algorithm offers a novel approach for proactive HF management.

Purpose of the Study:

  • To assess the impact and security of pre-emptive heart failure management using the HeartLogic™ index.
  • To evaluate the effectiveness of the HeartLogic™ algorithm in reducing HF hospitalizations.
  • To gather real-world data on managing HF exacerbations.

Main Methods:

  • Prospective, multi-centre, non-randomized study of 310 HF patients.
  • Remote monitoring of the HeartLogic™ index for 12 months.
  • Intervention triggered by HeartLogic™ index ≥16, including patient assessment and treatment adjustment.

Main Results:

  • Primary endpoint: unscheduled heart failure hospitalization.
  • Secondary endpoints include mortality, cardiovascular death, HF-related death, and arrhythmia hospitalizations.
  • Safety of HeartLogic™-guided diuretic therapy initiation/increase will be assessed.

Conclusions:

  • The HeartLogic™ France Cohort Study will yield robust real-world data.
  • This data will support pre-emptive treatment strategies for heart failure exacerbations.
  • The study aims to demonstrate the value of the HeartLogic™ algorithm in clinical practice.
Abstract

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