Effects of AI Assisted Follow-up Strategy on Secondary Prevention in CABG Patients
Effects of Artificial Intelligence Assisted Follow-up Strategy Based on a New Remote Contactless Sleep Monitoring System on Secondary Prevention in Patients Received Coronary Artery Bypass Grafting Surgery
1 other identifier
interventional
200
1 country
1
Brief Summary
The present study is trying to find out whether artificial intelligence assisted follow-up strategy will improve secondary prevention in CABG patients. In addition, we will test whether rural patients may have more benefits under the new follow-up strategy based on the artificial intelligence device compared with urban patients.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2021
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 26, 2020
CompletedFirst Posted
Study publicly available on registry
November 19, 2020
CompletedStudy Start
First participant enrolled
January 1, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 30, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2022
CompletedNovember 19, 2020
November 1, 2020
1.7 years
October 26, 2020
November 14, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Heart rate
The average heart rate during the first 35 days postoperatively
35 days
Secondary Outcomes (8)
Duration of different sleep stages
35 days
Average Pulse oxygen saturation
35 days
Minimum pulse oxygen saturation
35 days
Pain score
35 days
Medication compliance
35 days
- +3 more secondary outcomes
Study Arms (2)
artificial intelligence assisted follow-up group
EXPERIMENTALartificial intelligence assisted follow-up group
Control group
PLACEBO COMPARATORControl group
Interventions
We will use a new portable artificial intelligence assisted device to monitor the patients' postoperative heart rate and sleep quality, guiding the following follow-up process
Eligibility Criteria
You may qualify if:
- Age between 18-70, male or female
- Received isolated CABG procedure due to coronary artery disease
- Having a smartphone and are willing to cooperate
- Signing written informed consent
You may not qualify if:
- Patients undergoing CABG + valve replacement surgery
- Postoperative hospital stays more than 10 days (Due to limited postoperative follow-up time and unstable condition such as incision infection, angina, etc.)
- Patients with lung, liver, and kidney failure (Due to organ dysfunction which needs more professional health care and not suitable for this trial)
- Patients with Urinary system diseases (Getting up during sleep, which will interfere with sleep monitoring)
- Patients mentally or legally disabled
- Breastfeeding or pregnant women
- End-stage disease, estimated survival time is less than 3 months
- Participate in other perioperative intervention studies at the same time
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Cardiovascular Institute and Fuwai Hospital, CAMS&PUMC
Beijing, Beijing Municipality, 100037, China
Related Publications (16)
Shen C, Ge J. Epidemic of Cardiovascular Disease in China: Current Perspective and Prospects for the Future. Circulation. 2018 Jul 24;138(4):342-344. doi: 10.1161/CIRCULATIONAHA.118.033484. No abstract available.
PMID: 30571361RESULTMega JL, Stitziel NO, Smith JG, Chasman DI, Caulfield M, Devlin JJ, Nordio F, Hyde C, Cannon CP, Sacks F, Poulter N, Sever P, Ridker PM, Braunwald E, Melander O, Kathiresan S, Sabatine MS. Genetic risk, coronary heart disease events, and the clinical benefit of statin therapy: an analysis of primary and secondary prevention trials. Lancet. 2015 Jun 6;385(9984):2264-2271. doi: 10.1016/S0140-6736(14)61730-X. Epub 2015 Mar 4.
PMID: 25748612RESULTHogh AL. The use of secondary medical prevention after primary vascular reconstruction: studies on usage and effectiveness. Dan Med J. 2012 Sep;59(9):B4514.
PMID: 22951205RESULTKulik A. Secondary prevention after coronary artery bypass graft surgery: a primer. Curr Opin Cardiol. 2016 Nov;31(6):635-643. doi: 10.1097/HCO.0000000000000331.
PMID: 27583372RESULTSmith SC Jr, Benjamin EJ, Bonow RO, Braun LT, Creager MA, Franklin BA, Gibbons RJ, Grundy SM, Hiratzka LF, Jones DW, Lloyd-Jones DM, Minissian M, Mosca L, Peterson ED, Sacco RL, Spertus J, Stein JH, Taubert KA; World Heart Federation and the Preventive Cardiovascular Nurses Association. AHA/ACCF Secondary Prevention and Risk Reduction Therapy for Patients with Coronary and other Atherosclerotic Vascular Disease: 2011 update: a guideline from the American Heart Association and American College of Cardiology Foundation. Circulation. 2011 Nov 29;124(22):2458-73. doi: 10.1161/CIR.0b013e318235eb4d. Epub 2011 Nov 3. No abstract available.
PMID: 22052934RESULTDorje T, Zhao G, Scheer A, Tsokey L, Wang J, Chen Y, Tso K, Tan BK, Ge J, Maiorana A. SMARTphone and social media-based Cardiac Rehabilitation and Secondary Prevention (SMART-CR/SP) for patients with coronary heart disease in China: a randomised controlled trial protocol. BMJ Open. 2018 Jun 30;8(6):e021908. doi: 10.1136/bmjopen-2018-021908.
PMID: 29961032RESULTPradeepa R, Rajalakshmi R, Mohan V. Use of Telemedicine Technologies in Diabetes Prevention and Control in Resource-Constrained Settings: Lessons Learned from Emerging Economies. Diabetes Technol Ther. 2019 Jun;21(S2):S29-S216. doi: 10.1089/dia.2019.0038.
PMID: 31169429RESULTHawker GA, Mian S, Kendzerska T, French M. Measures of adult pain: Visual Analog Scale for Pain (VAS Pain), Numeric Rating Scale for Pain (NRS Pain), McGill Pain Questionnaire (MPQ), Short-Form McGill Pain Questionnaire (SF-MPQ), Chronic Pain Grade Scale (CPGS), Short Form-36 Bodily Pain Scale (SF-36 BPS), and Measure of Intermittent and Constant Osteoarthritis Pain (ICOAP). Arthritis Care Res (Hoboken). 2011 Nov;63 Suppl 11:S240-52. doi: 10.1002/acr.20543. No abstract available.
PMID: 22588748RESULTKolloch R, Legler UF, Champion A, Cooper-Dehoff RM, Handberg E, Zhou Q, Pepine CJ. Impact of resting heart rate on outcomes in hypertensive patients with coronary artery disease: findings from the INternational VErapamil-SR/trandolapril STudy (INVEST). Eur Heart J. 2008 May;29(10):1327-34. doi: 10.1093/eurheartj/ehn123. Epub 2008 Mar 29.
PMID: 18375982RESULTWu ZK, Vikman S, Laurikka J, Pehkonen E, Iivainen T, Huikuri HV, Tarkka MR. Nonlinear heart rate variability in CABG patients and the preconditioning effect. Eur J Cardiothorac Surg. 2005 Jul;28(1):109-13. doi: 10.1016/j.ejcts.2005.03.011. Epub 2005 Apr 8.
PMID: 15982594RESULTLakusic N, Mahovic D, Sonicki Z, Slivnjak V, Baborski F. Outcome of patients with normal and decreased heart rate variability after coronary artery bypass grafting surgery. Int J Cardiol. 2013 Jun 20;166(2):516-8. doi: 10.1016/j.ijcard.2012.04.040. Epub 2012 May 5.
PMID: 22560918RESULTCox JL, Bata IR, Gregor RD, Johnstone DE, Wolf HK. Trends in event rate and case fatality of patients hospitalized with myocardial infarction between 1984 and 2001. Can J Physiol Pharmacol. 2006 Jan;84(1):121-7. doi: 10.1139/Y05-141.
PMID: 16845896RESULTLindahl B, Baron T, Erlinge D, Hadziosmanovic N, Nordenskjold A, Gard A, Jernberg T. Medical Therapy for Secondary Prevention and Long-Term Outcome in Patients With Myocardial Infarction With Nonobstructive Coronary Artery Disease. Circulation. 2017 Apr 18;135(16):1481-1489. doi: 10.1161/CIRCULATIONAHA.116.026336. Epub 2017 Feb 8.
PMID: 28179398RESULTRoberts DM, Zimmer WE, Watterson DM. The use of synthetic oligodeoxyribonucleotides in the examination of calmodulin gene and protein structure and function. Methods Enzymol. 1987;139:290-303. doi: 10.1016/0076-6879(87)39093-7. No abstract available.
PMID: 3035326RESULTMcEvoy RD, Antic NA, Heeley E, Luo Y, Ou Q, Zhang X, Mediano O, Chen R, Drager LF, Liu Z, Chen G, Du B, McArdle N, Mukherjee S, Tripathi M, Billot L, Li Q, Lorenzi-Filho G, Barbe F, Redline S, Wang J, Arima H, Neal B, White DP, Grunstein RR, Zhong N, Anderson CS; SAVE Investigators and Coordinators. CPAP for Prevention of Cardiovascular Events in Obstructive Sleep Apnea. N Engl J Med. 2016 Sep 8;375(10):919-31. doi: 10.1056/NEJMoa1606599. Epub 2016 Aug 28.
PMID: 27571048RESULTOtto-Yanez M, Torres-Castro R, Nieto-Pino J, Mayos M. [Obstructive sleep apnea-hypopnea and stroke]. Medicina (B Aires). 2018;78(6):427-435. Spanish.
PMID: 30504110RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Jia Shi, MD
National Center for Cardiovascular Disease, China
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- QUADRUPLE
- Who Masked
- PARTICIPANT, CARE PROVIDER, INVESTIGATOR, OUTCOMES ASSESSOR
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Deputy director of the anesthesia center
Study Record Dates
First Submitted
October 26, 2020
First Posted
November 19, 2020
Study Start
January 1, 2021
Primary Completion
September 30, 2022
Study Completion
December 31, 2022
Last Updated
November 19, 2020
Record last verified: 2020-11
Data Sharing
- IPD Sharing
- Will not share