Remote Cardiovascular Monitoring in Post-TAVI Patients
NCT06602609 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 216
Last updated 2026-03-03
Summary
The goal of this randomised clinical trial is to utilise a remote monitoring algorithm to gather essential clinical data, aiming to guide the management of post-Transcatheter Aortic Valve Implantation (TAVI) patients and reduce both postprocedural hospital length of stay and readmissions. This strategic integration of technology aims to address gaps identified in previous studies and enhance the effectiveness of post-TAVI patient care. One significant concern after TAVI is the development of heart conduction abnormalities on the ECG and abnormal rhythms, such as heart block, potentially requiring permanent pacemaker insertion. Addressing these rhythm issues is crucial for reducing the overall length of stay.
The main question it aims to answer is: Does a remote patient monitoring protocol-driven strategy reduce post-TAVI hospital length of stay and adverse events? Participants post-TAVI procedure and eligible for same-day discharge, as determined by their primary cardiologist, will be randomized upon informed consent into the active arm (remote monitoring) or control group (standard of care).
Participants in the active arm will: receive four remote monitoring devices. Receive support from a validated clinical decision-making algorithm for further management.
Participants in the control group will: adhere to the best standard of care as per current practice.
Researchers will compare the active arm to the control group to see if the remote patient monitoring protocol-driven strategy reduces post-TAVI hospital length of stay and adverse events.
Conditions
- Aortic Valve Stenosis
- Cardiac Conduction Disturbance
- Digital Health
- Transcatheter Aortic Valve Implantation
- TAVI
Interventions
- OTHER
-
Remote Patient Monitoring Strategy
Continuous remote monitoring with the SmartCardia device includes continuous heart rate and cardiac conduction rhythm tracking through a 7-lead ECG enhanced by machine learning. This system can detect cardiac rhythm disturbances, measure breathing and heart rate, and provide live-alert notifications. Daily 12-lead ECG will be collected from each patient for 7 days after discharge; patients are instructed to perform a daily 12-lead ECG on the SHL device, along with recording blood pressure and oxygen saturation levels. Each ECG is interpreted by the trial team, and a cardiologist's interpretation is confirmed, and patients will undergo remote consultations with a cardiologist or research nurse each day if needed. During the initial 30 days of patient recruitment, if the individual exhibits potential cardiac symptoms, they can activate a remote consultation by performing an extra 12-lead ECG and recording blood pressure and oxygen saturation levels.
- OTHER
-
Standard Medical Therapy
No intervention is required. Patients in this arm will fill out a self-reported anxiety report (SHAI form) and provide recent admission information
Sponsors & Collaborators
-
King Khalid University
collaborator OTHER -
Imperial College London
lead OTHER
Principal Investigators
-
Ramzi Khamis, MBChB DIC PhD FESC FRCP · Imperial College London, Imperial College Healthcare NHS Trust
Study Design
- Allocation
- RANDOMIZED
- Purpose
- TREATMENT
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-11-01
- Primary Completion
- 2027-07-01
- Completion
- 2028-07-01
Countries
- United Kingdom
Study Locations
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