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

NCT ID: NCT06652750

Last Updated: 2024-11-21

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

688 participants

Study Classification

INTERVENTIONAL

Study Start Date

2024-11-13

Study Completion Date

2026-02-01

Brief Summary

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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

Detailed Description

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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

Conditions

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Sick Sinus Syndrome Atrioventricular Block, Second and Third Degree Heart Failure

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

During each session, the CIED patient undergoes both the experimental and control methods.
Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

NONE

Study Groups

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5G cloud follow-up & Routine follow-up

CIED patients undergo both 5G cloud follow-up and routine in-office follow-up during each visit.

Group Type EXPERIMENTAL

Routine Management

Intervention Type OTHER

Conducting routine in-office follow-up for CIED paitents

5G Cloud Follow-up

Intervention Type DEVICE

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.

Interventions

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Routine Management

Conducting routine in-office follow-up for CIED paitents

Intervention Type OTHER

5G Cloud Follow-up

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.

Intervention Type DEVICE

Eligibility Criteria

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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

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.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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The Third People's Hospital of Chengdu

OTHER

Sponsor Role lead

Responsible Party

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Lin Cai

Professor of Department of Cardiology

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Sun Yat-sen Memorial Hospital

Guangzhou, Guangdong, China

Site Status RECRUITING

The Third People's Hospital of Chengdu

Chengdu, Sichuan, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Lin Cai, master of medicine

Role: CONTACT

8619980510703

Shiqiang Xiong, Doctor of Medicine(M.D.)

Role: CONTACT

8615377510703

Facility Contacts

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Juan Lei

Role: primary

8613650894373

Shuxian Zhou, MD

Role: backup

Yan Luo, master of medicine

Role: primary

8618090809034

Lin Cai, master of medicine

Role: backup

References

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Xiong S, Qin S, Tong L, Long Y, Luo Y, Feng Q, Peng X, Jiang M, Xiong F, Li J, Zhang Y, Zhang Z, Liu H, Cai L. The clinical use of remote parameter testing during cardiac implantable electronic devices implantation procedures: a single center, randomized, open-label, non-inferiority trial. Front Cardiovasc Med. 2024 Mar 22;11:1364940. doi: 10.3389/fcvm.2024.1364940. eCollection 2024.

Reference Type BACKGROUND
PMID: 38586175 (View on PubMed)

Xiong S, Li J, Tong L, Hou J, Yang S, Qi L, Chen X, Luo Y, Zhang Z, Liu H, Cai L. Realtime Remote Programming in Patients Carrying Cardiac Implantable Electronic Devices Requiring Emergent Reprogramming. Front Cardiovasc Med. 2022 May 16;9:871425. doi: 10.3389/fcvm.2022.871425. eCollection 2022.

Reference Type BACKGROUND
PMID: 35651905 (View on PubMed)

Tong L, Xiong S, Hou J, Li J, Qin S, Zhang Y, Yang S, Qi L, Chen X, Luo Y, Zhang Z, Deng H, Liu H, Cai L. Cloud Follow-Up in Patients With Cardiovascular Implantable Electronic Devices: A Single-Region Study in China. Front Cardiovasc Med. 2022 May 9;9:864398. doi: 10.3389/fcvm.2022.864398. eCollection 2022.

Reference Type BACKGROUND
PMID: 35615564 (View on PubMed)

Tong L, Long Y, Xiong S, Li J, Huang W, Liu H, Cai L. Application of Postoperative Remote Follow-Up of CIED Based on the 5G Cloud Technology Support Platform in Areas With Underdeveloped Medical Resources. Front Cardiovasc Med. 2022 Jun 17;9:894345. doi: 10.3389/fcvm.2022.894345. eCollection 2022.

Reference Type BACKGROUND
PMID: 35783847 (View on PubMed)

Other Identifiers

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2024-S-182-01

Identifier Type: -

Identifier Source: org_study_id

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