Remote Monitoring To Identify Worsening Heart Failure The REMOTI-HF Randomized Clinical Trial

Overview

Heart failure, characterized by high mortality and morbidity rates, frequent hospital admissions, and prolonged stays in cardiology wards, significantly impacts patients' quality of life. The REMOTI-HF is a single-center randomized controlled trial designed to assess the impact of remote monitoring, utilizing the HeartLogic and TriageHF algorithms, in patients with heart failure with implantable cardioverter defibrillator or cardiac resynchronization therapy. The primary endpoints include mortality, hospital admissions related to heart failure, and visits for worsening heart failure. Moreover, we will explore the full capabilities of these algorithms, by analysing the association of physical activity, measured by the devices, with the same key outcomes. Additionally, the research will explore the relationship between the absolute values provided by the algorithms and NT-proBNP values.

Patients will be randomized into two arms: one with the activation of the algorithm and the other with no active algorithm. The algorithm is programmed to alert our team upon detecting a patient at risk of worsening heart failure. When an alarm is triggered, the patient will receive a telephone call from the investigation team. Subsequently, the patient may be scheduled for a hospital visit, or ambulatory medication adjustments can be made. For patients in whom the algorithm is deactivated, no such alarm mechanism will be in place. Patients in both arms will undergo comparison based on relevant heart failure events, defined as follows: * All-Cause Mortality * Hospital Admission for Heart Failure * Hospital Visit for Worsening Heart Failure * Ventricular Arrhythmias * Atrial Arrhythmias Additionally, the study will explore the association between physical activity measured by the devices and these specified events. In addition to evaluating patient outcomes, a correlation analysis will be conducted to examine the relationship between the absolute value provided by the algorithm and absolute NT-proBNP values. This analysis aims to assess the concordance and potential predictive value of the algorithm's output with established biomarkers, specifically NT-proBNP, in the context of heart failure progression and severity (if possible).