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Prognostic Value of Cardiovascular Magnetic Resonance in Patients With Cardiac Implantable Electronic Devices
Cardiac implantable electronic devices (CIEDs) are widely used to treat patients with heart failure, malignant arrhythmias, and other conditions. However, accurately identifying suitable candidates for CIED implantation remains a clinical challenge. Cardiovascular magnetic resonance imaging (CMR) provides a comprehensive assessment of cardiac structure, function, and tissue characteristics, facilitating evaluation of the myocardial substrate for arrhythmias. This study aims to evaluate the prognostic value of multiparametric CMR-derived imaging markers in CIED patients through preoperative CMR examinations. Imaging parameters of interest include structural-functional indices, myocardial strain, late gadolinium enhancement, entropy, and T1 and T2 mapping. Long-term clinical outcomes will be obtained from existing medical records and follow-up. The primary endpoint is sudden cardiac death (SCD) or SCD-equivalent events, defined as SCD, resuscitated cardiac arrest, sustained ventricular tachycardia or ventricular fibrillation, or appropriate ICD therapy. Secondary endpoints include all-cause mortality or heart failure rehospitalization. This study aims to elucidate the role of CMR in assessing CIED treatment indications and long-term risk stratification, thereby helping to optimize CIED implantation decisions.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
Beijing, China
Start Date
January 1, 2010
Primary Completion Date
December 31, 2035
Completion Date
December 31, 2040
Last Updated
January 27, 2026
1,500
ESTIMATED participants
Cardiac Magnetic Resonance Imaging
OTHER
Lead Sponsor
Chinese Academy of Medical Sciences, Fuwai Hospital
NCT06835491
NCT05452356
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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View ClinicalTrials.gov Terms and ConditionsNCT00921986