Publications by authors named "Giancarlo Tomasi"

Introduction: Remote device monitoring is indicated under class I A standard of care according to the latest HRS/EHRA/APHRS/LAHRS Expert Consensus Statement on Practical Management of the Remote Device Clinic. Despite this strong endorsement and the supporting data, the adoption of remote monitoring practices remains lower than expected. One cause of the underutilization of telemonitoring devices is work overload.

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Aims: Implantable cardiac monitors (ICMs) can generate false-positive (FP) alerts. Although these devices have an extended programmability, there are no recommendations on their optimization to reduce not-relevant activations.We tested a strategic programming optimization guide based on the type of FP and investigated the safety and feasibility of the nurse-led insertion of ICMs with a long-sensing vector.

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Background: The remote follow-up of pacemakers and implantable cardiac defibrillators (ICDs) usually includes scheduled checks and alert transmissions. However, this results in a high volume of remote data reviews to be managed. We measured the relative contribution of scheduled and alert transmissions to the detection of relevant conditions, and the workload generated by their management.

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Aims: Current guidelines recommend remote follow-up for all patients with cardiac implantable electronic devices. However, the introduction of a remote follow-up service requires specifically dedicated organization. We evaluated the impact of adopting remote follow-up on the organization of a clinic and we measured healthcare resource utilization.

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Aims: Implantable loop recorders (ILR) are indicated in a variety of clinical situations when extended cardiac rhythm monitoring is needed. We aimed to assess the clinical impact, safety, and accuracy of the new Medtronic Reveal LINQTM ILR that can be inserted outside the electrophysiology (EP) laboratory and remotely monitored.

Methods And Results: All 154 consecutive patients (100 males, 63 ± 15 year-old) who received the Reveal LINQTM ILR during the period July 2014-June 2016 were enrolled.

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