Atrial Fibrillation Clinical Trial
— BIOMONI-DIGOfficial title:
Efficiency of a Clinical Process Based on Remote Review of Symptoms in Patients With an Implantable Diagnostic Holter.
NCT number | NCT06431828 |
Other study ID # | FF088 |
Secondary ID | |
Status | Recruiting |
Phase | N/A |
First received | |
Last updated | |
Start date | April 22, 2024 |
Est. completion date | May 2026 |
To study the clinical and organizational benefit of implementing a methodology for monitoring patients receiving an implantable diagnostic BIOMONITOR III holter and successive models, consisting of remote review of alerts sent by the device via the HOME MONITORING remote monitoring platform and the transmission of relevant patient symptoms through the use of a specific application installable on the patient's phone. The efficiency of this methodology will be compared with a control group consisting of monitoring through the usual clinical practice of the hospital.
Status | Recruiting |
Enrollment | 60 |
Est. completion date | May 2026 |
Est. primary completion date | May 2025 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 80 Years |
Eligibility | Inclusion Criteria: - Patients indicated for implantation of a subcutaneous implantable holter due to syncope or cryptogenic stroke (atrial fibrillation detection) - Patients over 18 years old. - Patients who consent to the installation of a patient application for telematic submission of patient-related symptoms. - Patients capable of using the patient application. Exclusion Criteria: - Patients over 80 years of age or, failing that, not able to use an application to send their symptoms. - Life expectancy of less than 12 months for any reason. |
Country | Name | City | State |
---|---|---|---|
Spain | Hospital Álvaro Cunqueiro | Vigo |
Lead Sponsor | Collaborator |
---|---|
Andres Iñiguez Romo | Fundacin Biomedica Galicia Sur, Fundacion Investigacion Interhospitalaria Cardiovascular |
Spain,
Gupta N, Yang J, Reynolds K, Lenane J, Garcia E, Sung SH, Harrison TN, Solomon MD, Go AS; KP-RHYTHM Study Group. Diagnostic Yield, Outcomes, and Resource Utilization With Different Ambulatory Electrocardiographic Monitoring Strategies. Am J Cardiol. 2022 — View Citation
Sharma AN, Baranchuk A. Ambulatory External Electrocardiography Monitoring: Holter, Extended Holter, Mobile Cardiac Telemetry Monitoring. Card Electrophysiol Clin. 2021 Sep;13(3):427-438. doi: 10.1016/j.ccep.2021.04.003. Epub 2021 Jul 8. — View Citation
Varma N, Epstein AE, Schweikert R, Michalski J, Love CJ; TRUST Investigators. Role of Automatic Wireless Remote Monitoring Immediately Following ICD Implant: The Lumos-T Reduces Routine Office Device Follow-Up Study (TRUST) Trial. J Cardiovasc Electrophys — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | TIME FRAME | Time from the first alert by Home Monitoring of the implantable holter to the clinical diagnosis according to the patient's clinical indication. | one year | |
Secondary | Number of in-person visits in each group | Number of in-person visits in each group | one year | |
Secondary | Incidence remote transmissions activated by patient indication | Number of remote transmissions activated by patient indication | one year | |
Secondary | Rate of false positives | Number of false positives, according to physician's diagnosis. | one year | |
Secondary | Rate of symptoms sent by the patient | Number of false positives (according to physician's diagnosis) | one year | |
Secondary | Rate of symptoms sent by the patient that correspond to remote alerts sent by the patient | Rate of symptoms sent by the patient that correspond to remote alerts sent by the patient (e.g., the symptom corresponds to a detected arrhythmia) | one year | |
Secondary | Rate of symptoms not corresponding to detected arrhythmias | Rate of symptoms not corresponding to detected arrhythmias(e.g., the symptom corresponds to a detected arrhythmia) | one year | |
Secondary | Number of new non-cardiac clinical diagnoses discovered thanks to the symptoms sent by the patient. | Number of new non-cardiac clinical diagnoses discovered thanks to the symptoms sent by the patient.corresponds to a detected arrhythmia | one year | |
Secondary | Efficacy of implementing a clinical process based on remote monitoring of patient symptoms | Change in patient interaction with the physician - fewer calls/visits to the hospital. | one year | |
Secondary | Qualitative Patient Objectives | Measured through a satisfaction survey on the use or non-use of the patient application to telematically send their symptoms | one year |
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