Why the study?
Device interrogation and management represent a relevant burden for pacing centers, and the use of remote monitoring in the heart failure setting remains controversial.
Does remote monitoring of cardiac implantable electronic devices reduce mortality and hospitalizations compared to standard in-office follow-up?
Does remote monitoring of cardiac implantable electronic devices reduce mortality and hospitalizations compared to standard in-office follow-up?
Remote monitoring of cardiac implantable electronic devices may reduce mortality and hospitalizations, likely driven by early detection of arrhythmias and worsening heart failure.
Supports broader CIED remote monitoring adoption; reinforces meta-analytic evidence for lower mortality and hospitalizations.
Device interrogation and management are time consuming, representing a relevant burden for pacing centers. In several situations, patients' management requires additional follow up visits. Remote Monitoring (RM) allows an optimal recall management and a rapid diagnosis of device or lead failure, without the need of additional in office visits. Further it allows a significant delay reduction between the adverse event and the reaction to the alarm, shortening the time needed to make a clinical decision. A role in risk-predicting patient-related outcomes has also been shown. RM permits detection of the arrhythmia from 1 to 5 months in advance compared to in-office visits. Importantly, by using specific algorithms with multiparametric analysis, RM has been studied as a potential instrument to identify early patients on risk of worsening HF using specific algorithms. Although the use of RM in HF setting remains controversial, it has been proposed to improve HF clinical outcomes and survival in clinical trials. In this sense, RM success could require a standardization of process within a management model, that may involve different health care professionals. In this review, we examine recent advances of RM providing an update of this tool through different clinical scenarios.
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Lucà et al. (2019) studied this question.
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