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Novel Characterization of Sex Specific Biologic Signatures in Valvular Heart Disease

Novel Characterization of Sex Specific Biologic Signatures in Valvular Heart Disease

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06780241
Enrollment
200
Registered
2025-01-17
Start date
2024-12-10
Completion date
2030-12-31
Last updated
2026-01-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Aortic Regurgitation, Aortic Stenosis, Mitral Regurgitation

Brief summary

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.

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.

Interventions

DIAGNOSTIC_TESTCMR

CMR (with contrast at baseline and non-contrast at follow-up)

OTHERQuality of Life Questionnaire

Rapid Assessment of Physical Activity questionnaire and the Kansas City Cardiomyopathy Questionnaire

Sponsors

The Cleveland Clinic
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
No

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.

Design outcomes

Primary

MeasureTime frameDescription
Change in LV Dilation and/or change in LVEF6-12 monthsSignificant 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%

Secondary

MeasureTime frameDescription
Change in Aortic Regurgiation6-12 monthsChange 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
Change in BNP6-12 monthsNT-proBNP will be modeled as a continuous variable as well as a threshold change of 30% or decrease to level \< 1000
Change in Kansas City Cardiomyopathy Questionnaire (KCCQ) score6-12 monthsKCCQ 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 minute walk test6-12 months6 minute walk test will be modeled as a continuous variable as well as a threshold change of 30meters or more

Countries

United States

Contacts

Primary ContactDeborah Kwon, MD
kwond@ccf.org216-444-8526

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026