Predicting Serious Outcomes in Dilated Cardiomyopathy Using Heart MRI and Clinical Data
Studies a heart MRI-based model to predict serious outcomes in adults with dilated cardiomyopathy.
Plain-language title generated from the registry record
Registry title: Cardiac Magnetic Resonance-Clinical Prediction Model-Dilated Cardiomyopathy
Key facts
- Where
- Jinan, ChinaSee the site
AI summary: who the study is looking for
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for adults with dilated cardiomyopathy, a heart disease where the left ventricle is enlarged and pumps poorly. It builds a model that predicts poor outcomes.
- Age
- 18 years or older
- Sex
- Men and women can join
- Disease stage
- Dilated cardiomyopathy: a large left ventricle (end-diastolic volume indexed to body surface area) and a reduced pumping function (LVEF), compared with reference values for age and sex.
Main reasons for not taking part
- Significant coronary artery disease (more than 50% narrowing of a major coronary artery)
- Infiltrative disease
- Valvular cardiomyopathy
- Arrhythmogenic cardiomyopathy
- Congenital heart disease
Read by machine on 13 November 2026.
Where in China
- Jinan Central HospitalJinan, ChinaContact: Jian WangTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- Shandong Provincial Hospital
- Trial code
- NCT07527715
- Record updated
- 14 April 2026
- Original description
Dilated cardiomyopathy (DCM) is a common and serious heart disease characterized by left ventricular enlargement and impaired pumping function, with adverse prognosis (including heart failure, arrhythmia, heart-related hospitalization, and death) being a major concern for patients. Currently, a critical gap exists in accurately predicting which DCM patients are at high risk of these severe outcomes, limiting targeted clinical care.Read full original descriptionShow less
Study on Risk Early Warning of Clinical Prediction Model Based on Multi-Parameter Stress Perfusion Cardiac Magnetic Resonance in Adverse Prognosis of Dilated Cardiomyopathy
Dilated cardiomyopathy (DCM) is a common and serious heart disease characterized by left ventricular enlargement and impaired pumping function, with adverse prognosis (including heart failure, arrhythmia, heart-related hospitalization, and death) being a major concern for patients. Currently, a critical gap exists in accurately predicting which DCM patients are at high risk of these severe outcomes, limiting targeted clinical care.
This observational, non-invasive study aims to develop and validate a clinical prediction model for early risk warning of adverse prognosis in DCM patients. The model integrates multi-parameter stress perfusion cardiac magnetic resonance (MP stress perfusion CMR)-a safe, high-resolution imaging technique that assesses cardiac structure, function, blood perfusion, and tissue damage under mild stress-and standard clinical data (e.g., age, gender, blood pressure, and routine heart test results).
The model will be trained and tested using follow-up data from hundreds of DCM patients, with the analysis identifying patterns in CMR and clinical data associated with adverse outcomes. Once validated for accuracy, the model will provide doctors with personalized risk scores to prioritize care for high-risk patients (e.g., early intervention, close monitoring) and avoid over-treatment for lower-risk individuals.
Beyond clinical application, the study will enhance understanding of DCM progression, laying the groundwork for improved diagnostic tools, more effective treatments, and better strategies to prevent DCM-related complications, ultimately improving patient quality of life and reducing mortality.
Inclusion: 1.An elevated left ventricular end-diastolic volume indexed to body surface area and reduced LVEF, compared with published age- and gender-specific reference values Exclusion Criteria; significant coronary artery disease (CAD), defined as a stenosis of ˃50% in a major coronary artery; infiltrative disease; valvular cardiomyopathy; arrhythmogenic cardiomyopathy; congenital heart disease.