Impact and safety of remote monitoring of heart failure patients managed with the HeartLogic algorithm: the HeartLogic France Cohort Study
Rodrigue Garcia, Daniel Gras, Jacques Mansourati, Pascal Defaye, Arnaud Bisson, Serge Boveda, Lisa Durocher, Estelle Gandjbakhch, Matthieu Gras, Jean-Pierre Gueffet, Caroline Himbert, Peggy Jacon, Pierre Khattar, Benoit Lequeux, Anthony Li, Vincent Mansourati, Damien Minois

TL;DR
A study in France tested a remote monitoring system for heart failure patients, showing it can help prevent hospitalizations by alerting doctors early.
Contribution
This study demonstrates the real-world effectiveness and safety of using the HeartLogic algorithm for proactive heart failure management.
Findings
HeartLogic alerts led to treatment changes in 39.6% of cases.
66.7% of hospitalizations were preceded by a HeartLogic alert.
Only 6.1% of patients experienced unplanned hospitalizations.
Abstract
HeartLogic, an algorithm in implanted devices, predicts heart failure (HF) episodes via a remotely monitored index, aiding proactive congestion treatment to prevent acute decompensation. This study assessed the efficacy and safety of pre-emptive HF management using the HeartLogic index. The HeartLogic France Cohort Study is a prospective multicentre investigation involving 310 HF patients with implanted cardioverter defibrillators enrolled from 10 French centres. The HeartLogic™ index was monitored for 12 months, and when the index reached ≥16, patients were contacted to adjust HF treatment. The primary endpoint was unscheduled hospitalization for HF. An independent blinded committee adjudicated the events. A total of 309 patients (65 ± 10 years old; 83.5% male, left ventricular ejection fraction 31 ± 9%) were included in the analysis. Ischemic cardiomyopathy was present in 61.2% (n =…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHeart Failure Treatment and Management · Healthcare Technology and Patient Monitoring · Mobile Health and mHealth Applications
