Evaluating the Safety and Effectiveness of 5G Cloud Follow-up for Cardiovascular Implantable Electronic Devices (CIED-CARE)

November 18, 2024 updated by: Lin Cai, The Third People's Hospital of Chengdu

Evaluating the Safety and Effectiveness of 5G Cloud Follow-up for Cardiovascular Implantable Electronic Devices: a Prospective, Paired, Self-controlled, Non-inferiority, Multicenter Clinical Trial

Objective: This clinical study employs a prospective, paired, self-controlled, non-inferiority, multicenter research design to assess the safety and efficacy of utilizing 5G cloud follow-up for CIED in parameters monitoring and remote programming post-implantation.

Participants will:

undergo regular clinic follow-up visits in accordance with the guidelines undergo routine in-office follow-up and 5G cloud follow-up during each regular clinic visit

Study Overview

Detailed Description

Background: Cardiovascular implantable electronic devices (CIED) include pacemakers, implantable cardioverter defibrillators (ICD), cardiac resynchronization therapy (CRT) pacemakers and defibrillators, implantable cardiac event recorders (ICM), and implantable cardiovascular monitors. They are mainly used for the diagnosis, monitoring, and treatment of bradycardia, tachycardia, and heart failure (HF). There are currently two main methods of follow-up: routine in-office follow-up and remote monitoring (RM). Routine in-office follow-up is the most commonly used method in China, whereby professional doctors and/or manufacturer engineers conduct follow-ups under the guidance of physicians. Remote monitoring (RM) allows patients to be remotely monitored at home or elsewhere when a communication network is available, receiving periodic alerts related to the patient. Remote monitoring (RM) can provide timely and accurate CIED data and information, promptly alerting clinical doctors to any issues. However, a drawback is that patients still need to visit the hospital for device parameter adjustments, so it only partially fulfills the functions of routine in-office follow-up. Of note, in the past three years, some domestic clinical centers in China have begun exploring the application of 5G cloud follow-up remote programming (5G Cloud Follow Up) in various patient follow-up scenarios. With the comprehensive deployment of 5G networks in China, central hospitals with specialized device programmers can establish one-to-one or one-to-many regional collaborative cloud follow-up systems with primary hospitals lacking follow-up technician through 5G networks. CIED patients only need to visit nearby primary hospitals to complete regular device follow-ups. Currently, excellent research results have been obtained in the quality control of the CIED follow-ups of a single provincial medical consortium system mainly consisting of major implantation centers. However, there is still a lack of verification results for 5G cloud follow-up remote programming in a medical consortium (MC) model covering various administrative regions in China and different levels of primary hospitals. This study will compare the safety and effectiveness of using 5G cloud follow-up remote programming in different administrative regions and levels of primary hospitals in China with routine in-office follow-ups.

Objective:

This clinical study employs a prospective, paired, self-controlled, non-inferiority, multicenter research design to assess the safety and efficacy of utilizing 5G cloud follow-up for CIED in parameters monitoring and remote programming post-implantation.

Participants will:

undergo regular clinic follow-up visits in accordance with the guidelines undergo routine in-office follow-up and 5G cloud follow-up during each regular clinic visit

Study Type

Interventional

Enrollment (Estimated)

688

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Lin Cai, master of medicine
  • Phone Number: 8619980510703
  • Email: clin63@yeah.net

Study Contact Backup

  • Name: Shiqiang Xiong, Doctor of Medicine(M.D.)
  • Phone Number: 8615377510703
  • Email: xionglliu@163.com

Study Locations

    • Guangdong
      • Guangzhou, Guangdong, China, 510120
        • Recruiting
        • Sun Yat-Sen Memorial Hospital
        • Contact:
        • Contact:
          • Shuxian Zhou, MD
    • Sichuan
      • Chengdu, Sichuan, China, 610000
        • Recruiting
        • The Third People's Hospital of Chengdu
        • Contact:
        • Contact:
          • Lin Cai, master of medicine

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  1. Age ≥ 18 years, gender unspecified;
  2. Patients who have not undergone their first clinic follow-up after the implantation of cardiovascular implantable electronic devices (CIED); Note: In this study, CIED includes pacemakers, implantable cardioverter defibrillators (ICD), cardiac resynchronization therapy pacemakers (CRT-P) and defibrillators (CRT-D), excluding implantable cardiac event recorders (ICM) and implantable cardiovascular monitors.
  3. Willing to participate in this clinical study and have signed the informed consent form in writing.

Exclusion Criteria:

  • Exclusion Criteria:

If meeting any of the following, the individual cannot be included:

  1. Life expectancy < 1 year.
  2. Inability to cooperate with treatment or follow-up, such as having mental illness.
  3. Participated in other clinical studies within 30 days before enrollment. Other situations that the researcher deems unsuitable for inclusion.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: 5G cloud follow-up & Routine follow-up
CIED patients undergo both 5G cloud follow-up and routine in-office follow-up during each visit.
Conducting routine in-office follow-up for CIED paitents
This study employed a 5G-cloud follow-up platform, a research tool that allows a device specialist to test, and program CIEDs in real-time from a remote location via an internet connection or mobile wireless network. Consistent with of the 5G remote support terminal externally connected to the programmer, a PAD was installed with a 5G-cloud follow-up app. The onsite medical staff began the cloud follow-up session by contacting the remote device specialist via video call. The connection to the CIED was made by the medical staff through the use of a standard programmer. He was in charge of turning on the programmer and applying the programmer wand to the patient's device. After an initial introduction, communication was established and continued via the wand connection. The remote device specialist logged into the 5G-cloud follow-up app with two-step verification. The remote device specialist then had complete control of the programmer to check and reprogram the device as needed.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Parameter Measurement Consistency
Time Frame: through study completion, an average of 1 year
Subjects underwent in-office follow-up and 5G cloud follow-up to test battery parameters (battery voltage, battery current, and magnet frequency) and lead parameters (amplitude, pacing threshold, and impedance) in the immediate postoperative period, prior to discharge from the hospital, and within 1 month of implantation, within 1 to 3 months of implantation, at 6 months of implantation, and at 12 months of implantation, respectively. The consistency of each parameter measured at both follow-up modalities was analyzed at the end of the trial by regression fitting equations and Pearson correlation coefficients.
through study completion, an average of 1 year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Parameter Measurement Time
Time Frame: through study completion, an average of 1 year
During each follow-up, all subjects undergo separate routine in-office follow-ups and 5G cloud follow-ups. The time taken from the beginning of device interrogation to the completion of parameter testing is recorded for each follow-up.
through study completion, an average of 1 year
Program Completion Rate
Time Frame: through study completion, an average of 1 year

Evaluation Approach: Participants undergo both in-person clinic follow-up and 5G cloud follow-up during each appointment. Researchers will evaluate and programe the device in accordance with the current guidelines. The assessment of program completion will be conducted through the Program Control Completion Assessment Form.

Completion Criteria: If all parameter reprogramming statuses are indicated as "Yes", the program control session will be deemed as complete. In cases where any program control completion status is marked as "No", the session's program control will be considered incomplete.

Program Completion Rate is calculated as follows: the number of successful programming / the total number of programming

through study completion, an average of 1 year
adverse events
Time Frame: through study completion, an average of 1 year
Subjects are observed and recorded at any time during the study process after enrollment. Summarize the occurrence of adverse events and calculate the rate of adverse events. Participants will be continuously monitored and documented during each follow-up session. The adverse event is defined according to the "Guidelines for Reporting Adverse Events and Device Defects" in the present study. Investigators will record and summarize the occurrence of adverse events and determine the rate of adverse event incidence. The rate of adverse event is calculated as the number of participants occurring adverse event/ the total number of the participants.
through study completion, an average of 1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 13, 2024

Primary Completion (Estimated)

February 1, 2025

Study Completion (Estimated)

February 1, 2026

Study Registration Dates

First Submitted

October 10, 2024

First Submitted That Met QC Criteria

October 21, 2024

First Posted (Actual)

October 22, 2024

Study Record Updates

Last Update Posted (Estimated)

November 21, 2024

Last Update Submitted That Met QC Criteria

November 18, 2024

Last Verified

November 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

The datasets in the study might be available upon reasonable request.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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