Cohort Study of Chronic Heart Failure (CHF)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Yucheng Wu, Doctor
- Phone Number: +8618360010750
- Email: 2567181759@qq.com
Study Contact Backup
- Name: Lichun Wang, Master
- Phone Number: +8613775704547
- Email: 18652711566@163.com
Study Locations
-
-
Jiangsu
-
Taizhou, Jiangsu, China, 225300
- Recruiting
- Taizhou People's Hospital affiliated to Nanjing Medical University
-
Contact:
- Yucheng Wu, Doctor
- Phone Number: +8618360010750
- Email: 2567181759@qq.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Study Population
Description
Inclusion Criteria:
- Age ≥18 years;
- Fulfill at least one of the following criteria:①History of chronic heart failure;②New-onset heart failure with LVEF <50%;③New-onset heart failure with LVEF≧50%,E/e'≧15 and BNP>400 pg/mL/NT-proBNP(<50 years, >450 pg/mL; 50~75 years, >900 pg/mL; >75 years, >1800 pg/mL)
- Etiology: dilated cardiomyopathy, hypertensive heart disease, ischaemic cardiomyopathy, Non-severe valvular heart disease;
- Primary post-discharge therapy: oral medication;
- Sign the informed consent form.
Exclusion Criteria:
- Patients with renal failure (Ccr<30ml/min) or patients on dialysis therapy;
- Various correctable secondary causes of cardiac insufficiency including hyperthyroid heart disease, anaemic heart disease, uncorrected congenital heart disease; severe valvular heart disease (including severe stenosis or closure of organic aortic and mitral valves);
- Patients with indications for pacemaker implantation but have not received a pacemaker implant;
- Patients with chronic obstructive pulmonary disease accompanied by type II respiratory failure.
- Patients who cannot understand and sign an informed consent form.
- Patients with mental illness, pregnant women, and other special populations.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
No Intervention: Routine management group
|
|
|
Experimental: Remote home management group assisted by community physicians
|
Patients upload data such as wristband data, blood pressure, weight through their mobile phones, while physicians can check the data on the platform.
Upon detecting alerts, community physicians review participant-related medical information, conduct structured symptom assessments via "StarNet Home" platform/phone within 2 hours, and initiate protocol-guided interventions (e.g., diuretic adjustment for fluid overload).
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
incidence of composite event (cardiovascular mortality, unplanned HF hospitalization, emergency HF intervention)
Time Frame: 2 years
|
Cardiovascular disease death, heart failure readmission and emergency HF intervention are three endpoint events, with either occurring as the primary endpoint
|
2 years
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
all-cause mortality
Time Frame: 2 years
|
all-cause mortality
|
2 years
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
stroke events
Time Frame: 2 years
|
2 years
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Ming Chu, Doctor, Jiangsu Taizhou People's Hospital
Publications and helpful links
General Publications
- Koehler F, Koehler K, Deckwart O, Prescher S, Wegscheider K, Kirwan BA, Winkler S, Vettorazzi E, Bruch L, Oeff M, Zugck C, Doerr G, Naegele H, Stork S, Butter C, Sechtem U, Angermann C, Gola G, Prondzinsky R, Edelmann F, Spethmann S, Schellong SM, Schulze PC, Bauersachs J, Wellge B, Schoebel C, Tajsic M, Dreger H, Anker SD, Stangl K. Efficacy of telemedical interventional management in patients with heart failure (TIM-HF2): a randomised, controlled, parallel-group, unmasked trial. Lancet. 2018 Sep 22;392(10152):1047-1057. doi: 10.1016/S0140-6736(18)31880-4. Epub 2018 Aug 25.
- Attia ZI, Kapa S, Lopez-Jimenez F, McKie PM, Ladewig DJ, Satam G, Pellikka PA, Enriquez-Sarano M, Noseworthy PA, Munger TM, Asirvatham SJ, Scott CG, Carter RE, Friedman PA. Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram. Nat Med. 2019 Jan;25(1):70-74. doi: 10.1038/s41591-018-0240-2. Epub 2019 Jan 7.
- Zhang Y, Zhang J, Butler J, Yang X, Xie P, Guo D, Wei T, Yu J, Wu Z, Gao Y, Han X, Zhang X, Wen S, Anker SD, Filippatos G, Fonarow GC, Gan T, Zhang R; China-HF Investigators. Contemporary Epidemiology, Management, and Outcomes of Patients Hospitalized for Heart Failure in China: Results From the China Heart Failure (China-HF) Registry. J Card Fail. 2017 Dec;23(12):868-875. doi: 10.1016/j.cardfail.2017.09.014. Epub 2017 Oct 10.
- Olivier B, Verdonck M, Caseleijn D. Digital technologies in undergraduate and postgraduate education in occupational therapy and physiotherapy: a scoping review. JBI Evid Synth. 2020 May;18(5):863-892. doi: 10.11124/JBISRIR-D-19-00210.
- Sverdlov O, van Dam J, Hannesdottir K, Thornton-Wells T. Digital Therapeutics: An Integral Component of Digital Innovation in Drug Development. Clin Pharmacol Ther. 2018 Jul;104(1):72-80. doi: 10.1002/cpt.1036. Epub 2018 Feb 23.
- Urtnasan E, Joo EY, Lee KH. AI-Enabled Algorithm for Automatic Classification of Sleep Disorders Based on Single-Lead Electrocardiogram. Diagnostics (Basel). 2021 Nov 5;11(11):2054. doi: 10.3390/diagnostics11112054.
- Yang Y, Yuan Y, Zhang G, Wang H, Chen YC, Liu Y, Tarolli CG, Crepeau D, Bukartyk J, Junna MR, Videnovic A, Ellis TD, Lipford MC, Dorsey R, Katabi D. Artificial intelligence-enabled detection and assessment of Parkinson's disease using nocturnal breathing signals. Nat Med. 2022 Oct;28(10):2207-2215. doi: 10.1038/s41591-022-01932-x. Epub 2022 Aug 22.
- Wu Y, Lin J, Gong B, Wang L, Ruan Z, Xu K. Cardiac Rehabilitation in Atrial Fibrillation Patients With Left Atrial Appendage Occlusion: A RANDOMIZED TRIAL. J Cardiopulm Rehabil Prev. 2022 Jul 1;42(4):266-271. doi: 10.1097/HCR.0000000000000693. Epub 2022 Apr 13.
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- IIT202305
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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.