Cardiac implantable devices monitor various parameters associated with patient's clinical status. 1 Recently, remote monitoring (RM) systems have been improved by incorporating algorithms that combine information from several sensors into a single heart failure (HF) score. 2 The HeartInsight algorithm (BIOTRONIK SE&Co. KG, Germany) has recently been proposed in patients with implantable cardioverter defibrillators (ICDs), history of HF, and reduced ejection fraction without long-lasting/permanent atrial fibrillation (AF), showing promising accuracy in predicting HF hospitalizations. 3 The algorithm combines the temporal trends of seven parameters (24-h mean and night heart rate, heart rate variability, intrathoracic impedance, AF burden, patient activity, and premature ventricular contractions) with an optional clinical risk stratifier (Seattle HF Model [SHFM]). When the daily HF