- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06780241
Novel Characterization of Sex Specific Biologic Signatures in Valvular Heart Disease
This project aims to validate sex-specific biologic signatures associated with aortic valve disease developed in a large multicenter CMR registry, using unsupervised phenomapping.
The aim to use standard and advanced CMR techniques (MRF, DTI, chemical exchange transfer, and radiomics analysis) is to determine advanced CMR predictors of reverse remodeling following aortic valve surgery and develop sex-specific thresholds for risk. Infrastructure developed by this study will enable development of an innovative, scalable, sex-specific precision medicine cardiovascular imaging pipeline to determine overall risk and treatment response.
Study Overview
Status
Intervention / Treatment
Detailed Description
Chronic valvular heart disease leads to significant left ventricular (LV) remodeling. Current national guidelines for surgical/procedural referral for valvular heart disease do not consider sex differences in presence of symptoms, LV remodeling and dysfunction. However, our prior research in patients with chronic aortic regurgitation, validated by our recent multicenter study, demonstrated that despite higher left ventricular function, and less ventricular dilation, females experienced more heart failure symptoms, fewer referrals for surgical intervention, and higher prevalence of adverse outcomes compared to males. Similarly, published HVTI data have demonstrated increased adverse outcomes in women referred for surgical mitral valve intervention.
Cardiac magnetic resonance (CMR) provides an exciting opportunity to characterize sex differences in LV remodeling.In combination with conventional CMR measures, novel CMR techniques such as Magnetic Resonance Fingerprinting (MRF), Diffusion Tensor imaging (DTI) and radiomics analysis provide tissue level specificity with potential to enhance phenomapping.
Limitations in understanding sex-specific remodeling patterns stem from heterogeneity of presentation, which confound traditional analytic methods. Phenomapping, a method of machine learning, clusters imaging features and patients into distinct phenotypic groups. Unsupervised phenomapping enables unbiased grouping of patients by both clinical characteristics as well as complex imaging features. In recent studies, this unbiased phenomapping approach demonstrates superior risk stratification of cardiac disease compared to traditional approaches that can be used to guide individualized treatment
The aim to use advanced CMR techniques (MRF, DTI, chemical exchange transfer, and radiomics analysis) is to determine advanced CMR predictors of reverse remodeling following procedural valve intervention and develop sex-specific thresholds for risk. Results from this study would enable the development of sex-specific precision medicine pathway, augmented by advanced imaging features, to better predict overall risk and treatment response, and thus enable novel patient selection criteria.
Study hypothesis: Radiomics, MRF, chemical exchange transfer, and DTI will elucidate distinct sex-specific biologic signatures, in addition to standard CMR imaging features, and are associated with adverse outcomes, and reverse remodeling following surgical/procedural valve intervention.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Deborah Kwon, MD
- Phone Number: 216-444-8526
- Email: kwond@ccf.org
Study Locations
-
-
Ohio
-
Cleveland, Ohio, United States, 44195
- Recruiting
- Cleveland Clinic
-
Sub-Investigator:
- Xiaofeng Wang, PhD
-
Sub-Investigator:
- Christopher Nguyen, PhD
-
Contact:
- Degorah Kwon, MD
- Phone Number: 216-444-8526
-
Contact:
- Lydia DeAngelo
- Phone Number: 401-225-1929
- Email: deangel2@ccf.org
-
Sub-Investigator:
- Eric Roselli, MD
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age 18-90 years of age
- Suspected moderate or severe (2-3+ or more) aortic regurgitation, or moderate or more aortic stenosis on the basis of prior known clinical history, echocardiogram or cardiac MRI.
Exclusion Criteria:
- Acute traumatic cardiac injury
- Aortic dissection or aortic root rupture
- Congenital heart diseases such as patent ductus arteriosus, coarctation of aorta, ASD and VSD
- Presence of A-V fistula or intracardiac shunts
Any contraindications to cardiac MRI including:
- Patients with any MR-incompatible implant, including cardiac pacemakers or defibrillators, or older types of cerebral aneurysm clips.
- Patients who weigh more than 440 lbs. or have a very wide waist circumference.
- Patients with claustrophobia may have difficulty tolerating the exam.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Intervention
Cardiac MRI (CMR) with Magnetic Resonance Fingerprinting (MRF), fSENC (a new CMR technology which may detect subclinical signs of myocardial damage by measuring myocardial strain), Diffusion Tensor imaging (DTI), and chemical exchange transfer imaging with contrast at baseline and without contrast at follow up. Rapid Assessment of Physical Activity questionnaire Kansas City Cardiomyopathy Questionnaire |
CMR (with contrast at baseline and non-contrast at follow-up)
Rapid Assessment of Physical Activity questionnaire and the Kansas City Cardiomyopathy Questionnaire
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in LV Dilation and/or change in LVEF
Time Frame: 6-12 months
|
Significant change in LV remodeling will be defined as a change in EF by 10 units (reverse remodeling is defined at least 10 unit decrease) or change in LV end-diastolic/systolic volume by 10% (Reverse remodeling is defined as at least decrease in LV end-diastolic/systolic volume by 10%
|
6-12 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Aortic Regurgiation
Time Frame: 6-12 months
|
Change in Aortic Regurgitant Fraction will be modeled as a continuous variable, as well as a threshold change of 5 points or more, as measured by cardiac MRI
|
6-12 months
|
|
Change in BNP
Time Frame: 6-12 months
|
NT-proBNP will be modeled as a continuous variable as well as a threshold change of 30% or decrease to level < 1000
|
6-12 months
|
|
6 minute walk test
Time Frame: 6-12 months
|
6 minute walk test will be modeled as a continuous variable as well as a threshold change of 30meters or more
|
6-12 months
|
|
Change in Kansas City Cardiomyopathy Questionnaire (KCCQ) score
Time Frame: 6-12 months
|
KCCQ will be modeled as a continuous variable, as well as a threshold change of 5 points or more. KCCQ scoring transforms Likert-scale answers into 0-100 scores (higher is better) for domains like Physical Limitation, Symptom Frequency, Quality of Life, and Social Limitations, with a summary score reflecting overall health, where 0-24 is very poor, 25-49 poor/fair, 50-74 fair/good, and 75-100 good/excellent health. |
6-12 months
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Deborah Kwon, MD, The Cleveland Clinic
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 24-861
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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.
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