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Published on: February 13, 2021
Remote heart failure management using the HeartLogic algorithm. RE-HEART registry
Javier de Juan Bagudá1, Juan J Gavira Gómez2, Marta Pachón Iglesias3
1Servicio de Cardiología, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain.
Insights
The HeartLogic algorithm in implantable cardioverter-defibrillators (ICDs) effectively predicts heart failure (HF) decompensations. A standardized remote management protocol safely utilized these alerts, reducing HF hospitalizations.
Area of Science:
- Cardiology
- Medical Devices
- Artificial Intelligence in Medicine
Background:
- Heart failure (HF) decompensation is a leading cause of hospitalization.
- Implantable cardioverter-defibrillators (ICDs) offer remote monitoring capabilities.
- Predictive algorithms can potentially improve HF management.
Purpose of the Study:
- To analyze the association between HeartLogic alerts and clinical events.
- To describe the implementation of a remote management protocol for HeartLogic alerts.
- To evaluate the efficacy of a standardized protocol in managing HF decompensations.
Main Methods:
- Multicenter registry study evaluating HeartLogic alerts in ICDs.
- Phased approach: Phase 1 (blinded), Phases 2 & 3 (activated, managed per local practice and standardized protocol).
- Analysis of alert frequency, association with HF events, and remote management rates.
Main Results:
- HeartLogic alerts were frequently associated with HF events and other clinical situations (0.89 alerts/patient-y).
- No HF hospitalizations occurred outside the alert periods in Phase 1.
- A low rate of unexplained alerts (0.39 alerts/patient-y) was observed.
- Most alerts (81-82%) were remotely managed, with higher NT-proBNP levels during alert states.
Conclusions:
- The HeartLogic index is a valuable tool for predicting HF decompensations.
- A standardized protocol enables safe and effective remote detection and management of alerts.
- This approach can potentially reduce HF hospitalizations and improve patient outcomes.
Introduction And Objectives:
HeartLogic is a multiparametric algorithm incorporated into implantable cardioverter-defibrillators (ICD). The associated alerts predict impending heart failure (HF) decompensations. Our objective was to analyze the association between alerts and clinical events and to describe the implementation of a protocol for remote management in a multicenter registry.
Methods:
We evaluated study phase 1 (the investigators were blinded to the alert state) and phases 2 and 3 (after HeartLogic activation, managed as per local practice and with a standardized protocol, respectively).
Results:
We included 288 patients from 15 centers. In phase 1, the median observation period was 10 months and there were 73 alerts (0.72 alerts/patient-y), with 8 hospitalizations and 2 emergency room admissions for HF (0.10 events/patient-y). There were no HF hospitalizations outside the alert period. In the active phases, the median follow-up was 16 (95%CI, 15-22) months and there were 277 alerts (0.89 alerts/patient-y); 33 were associated with HF hospitalizations or HF death (n=6), 46 with minor decompensations, and 78 with other events. The unexplained alert rate was 0.39 alerts/patient-y. Outside the alert state, there was only 1 HF hospitalization and 1 minor HF decompensation. Most alerts (82% in phase 2 and 81% in phase 3; P=.861) were remotely managed. The median NT-proBNP value was higher within than outside the alert state (7378 vs 1210 pg/mL; P <.001).
Conclusions:
The HeartLogic index was frequently associated with HF-related events and other clinically relevant situations, with a low rate of unexplained events. A standardized protocol allowed alerts to be safely and remotely detected and appropriate action to be taken on them.
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