Using advanced imaging techniques to improve diagnosis and understanding of heart failure with preserved ejection fraction
Official title: Multimodality Imaging (Cardiovascular Magnetic Resonance Imaging, Echocardiography, and Nuclear Medicine Imaging) in the Screening, Diagnosis and Risk Stratification of Heart Failure With Preserved Ejection Fraction (HFpEF).
Run by Chinese Academy of Medical Sciences, Fuwai Hospital · NCT04603404 · Data updated 2026-11-12
This study is trying to see if advanced imaging techniques can help doctors better diagnose and understand heart failure with preserved ejection fraction so they can help patients sooner.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 430 (estimated) |
| Sponsor | Chinese Academy of Medical Sciences, Fuwai Hospital Academic / other |
| Locations | 1 site (Beijing, Beijing Municipality) |
| Status | Recruiting |
| Started | January 1, 2019 |
| Main results expected | December 2025 |
| Study ends | December 2030 |
| Registry record updated | November 8, 2022 |
| Trial ID | NCT04603404 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are patients with heart failure symptoms and a left ventricular ejection fraction of 50% or higher.
✕Probably not a fit
Patients with specific types of cardiomyopathy, severe arrhythmias, or those who refuse to participate will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study investigates the cardiac features and risk factors associated with heart failure with preserved ejection fraction (HFpEF) using a combination of advanced imaging techniques, including cardiovascular magnetic resonance imaging, echocardiography, and nuclear medicine imaging. By leveraging large datasets and artificial intelligence, the study aims to enhance early diagnosis and understanding of the disease, which is often overlooked due to its nonspecific clinical presentation. The research focuses on identifying subclinical changes in cardiac structure and function that are critical for timely intervention. The findings could lead to improved management strategies for patients suffering from HFpEF.
Why it matters
Potential benefit: If successful, this study could lead to earlier diagnosis and better management of heart failure with preserved ejection fraction, ultimately improving patient outcomes.
How similar studies have gone: While there have been studies exploring various imaging techniques in heart failure, this multimodal approach combined with artificial intelligence is relatively novel and untested.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * left ventricular ejection fraction (LVEF)≥50%; * N-terminal pro-b type natriuretic peptide (NT-proBNP)\>220pg/ml or b type natriuretic peptide (BNP) \>80 pg/ml; * symptoms and syndromes of heart failure; * At least one criteria of cardiac structure (left ventricular hypertrophy, or left atrial enlargement) and function abnormalities (based on tissue doppler, color doppler). Exclusion Criteria: * Special types of cardiomyopathy, including hypertrophic cardiomyopathy, restricted cardiomyopathy, etc. * Infarction, myocardial fibrosis caused by ischemic cardiomyopathy and acute coronary syndrome ; * Severe arrhythmia; * Severe primary cardiac valvular disease; * Restrictive pericardial disease; * Refuse to participate in the study.
Where it's running
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Fuwai Hospital
Beijing, Beijing Municipality, China Recruiting
Study contacts
- Principal investigator: Minjie Lu, PhD — Fuwai Hospital, National Center for Cardiovascular Diseases.
- Study coordinator: Minjie Lu, PhD
- Email: coolkan@163.com
- Phone: 86 10 88396941
Similar studies
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.