NCT07527715

Brief Summary

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.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
2,000

participants targeted

Target at P75+ for all trials

Timeline
154mo left

Started Dec 2021

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

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

Study Progress26%
Dec 2021Dec 2038

Study Start

First participant enrolled

December 1, 2021

Completed
4.3 years until next milestone

First Submitted

Initial submission to the registry

April 2, 2026

Completed
12 days until next milestone

First Posted

Study publicly available on registry

April 14, 2026

Completed
2.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2028

Expected
10 years until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2038

Last Updated

April 14, 2026

Status Verified

April 1, 2026

Enrollment Period

7 years

First QC Date

April 2, 2026

Last Update Submit

April 9, 2026

Conditions

Outcome Measures

Primary Outcomes (1)

  • SCD-related events

    SCD, appropriate implantable cardioverter-defibrillator shock, and resuscitated cardiac arrest

    1 year, 3 years, and 5 years after CMR examination

Secondary Outcomes (1)

  • heart failure events

    at 1, 3, and 5 years following CMR

Other Outcomes (1)

  • all-cause mortality

    follow-up will be conducted at 1, 3, and 5 years

Interventions

HFrEF:LVEF\<40% ; HFmrEF:LVEF40-50%; HFpEF: LVEF\>50%

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

During the study period, patients with dilated cardiomyopathy (DCM) who were seen in the cardiology departments of Shandong Provincial Hospital, Jinan Central Hospital, and Beijing Anzhen Hospital, or referred for cardiac magnetic resonance (CMR) assessment, were prospectively enrolled in the registry at the time of scanning.

You may not qualify if:

  • 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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Jinan central hospital

Jinan, Shandong, China

RECRUITING

Related Publications (1)

  • Arbelo E, Protonotarios A, Gimeno JR, Arbustini E, Barriales-Villa R, Basso C, Bezzina CR, Biagini E, Blom NA, de Boer RA, De Winter T, Elliott PM, Flather M, Garcia-Pavia P, Haugaa KH, Ingles J, Jurcut RO, Klaassen S, Limongelli G, Loeys B, Mogensen J, Olivotto I, Pantazis A, Sharma S, Van Tintelen JP, Ware JS, Kaski JP; ESC Scientific Document Group. 2023 ESC Guidelines for the management of cardiomyopathies. Eur Heart J. 2023 Oct 1;44(37):3503-3626. doi: 10.1093/eurheartj/ehad194. No abstract available.

    PMID: 37622657BACKGROUND

MeSH Terms

Conditions

Cardiomyopathy, DilatedDeath, Sudden, CardiacHeart Failure

Condition Hierarchy (Ancestors)

CardiomegalyHeart DiseasesCardiovascular DiseasesCardiomyopathiesLaminopathiesGenetic Diseases, InbornCongenital, Hereditary, and Neonatal Diseases and AbnormalitiesHeart ArrestDeath, SuddenDeathPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Xi-ming Wang

    Shandong Provincial Hospital

    STUDY CHAIR

Central Study Contacts

Wenxian Wang, Dr

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
6 Months
Sponsor Type
OTHER GOV
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

April 2, 2026

First Posted

April 14, 2026

Study Start

December 1, 2021

Primary Completion (Estimated)

December 1, 2028

Study Completion (Estimated)

December 1, 2038

Last Updated

April 14, 2026

Record last verified: 2026-04

Data Sharing

IPD Sharing
Will not share

Individual participant data (IPD) will not be made available to external researchers. The dataset contains sensitive clinical, imaging, and longitudinal prognostic information from patients with dilated cardiomyopathy. Broad sharing of IPD may compromise patient privacy and confidentiality, violate informed consent restrictions, and increase the risk of re-identification. In addition, the multiparametric CMR and artificial intelligence models rely on integrated institutional data that have not been de-identified to a level suitable for unrestricted public or third-party sharing. Therefore, IPD will be retained securely within the study group and will not be shared externally.

Locations