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NCT Number: NCT05965258

Phenotypic Classification of FMR With CMR

The goal of the current research is to develop personalized risk prediction for functional mitral regurgitation (FMR) patients through explainable unsupervised phenomapping enriched with advanced cardiac magnetic resonance (CMR) imaging biomarkers, and to determine the CMR predictors of reverse remodeling following modern therapies for FMR.

The prospective study entails aiming to recruit 360 adult patients (ages >18 years) with EF 10-50% and FMR RF> 20%, who are clinically referred for CMR evaluation. Patients who enroll in our study will be referred for optimization of mGDMT and will undergo follow-up CMR studies at 6months. NICM patients who are fully medically optimized with significant FMR at the time of the baseline CMR and are referred for Mitraclip treatment will undergo follow-up CMR 6 months from Mitraclip intervention. NICM patients referred for mGDMT optimization, but have persistent or progressive FMR at the time of 6 month follow-up CMR and referred for Mitraclip therapy, will undergo a 2nd follow-up CMR 6 months from Mitraclip therapy.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Cleveland Clinic

Cleveland, Ohio, 44195, United States

Location status: Recruiting

Location contact

Christopher Nguyen, PhD

SUB_INVESTIGATOR

David Chen, PhD

SUB_INVESTIGATOR

Deborah Kwon, MD

CONTACT

[email protected]

216-444-8526

Marc Gillinov, MD

SUB_INVESTIGATOR

Nancy Obuchowski, PhD

SUB_INVESTIGATOR

Samir Kapadia, MD

SUB_INVESTIGATOR

Wilson Tang, MD

SUB_INVESTIGATOR

Xiaofeng Wang, PhD

SUB_INVESTIGATOR

About this study

Functional mitral regurgitation (FMR) portends a bleak prognosis and is a common consequence of ischemic and non-ischemic cardiomyopathy (ICM, NICM), where adverse annular and left ventricular (LV) remodeling and/or infarction alters mitral valve (MV) function.

Prior studies demonstrate significant increases in mortality risk as severity of FMR increases; mortality rates range from 15-40% at 1 year. Furthermore, as the prevalence of heart failure (HF) is rising, FMR is projected to double from over 2 million patients in 2000 to over 4 million patients in the United States by 2030. Defining FMR severity, optimal timing of intervention, and most appropriate method for intervention remain controversial. Recently, MITRA-FR and COAPT trials demonstrated contrasting survival benefit with percutaneous MV repair, demonstrating the importance and need for more optimal selection criteria. Currently, the patient selection criteria for Mitraclip therapy are solely based on MV anatomy and controversial echocardiographic criteria for FMR severity. Cardiac magnetic resonance (CMR) provides an exciting opportunity to address numerous unmet needs regarding characterizing FMR and the need for more optimal selection criteria for improving outcomes. Superior accuracy and reproducibility for quantification of LV size and function, and gold standard tissue characterization, positions CMR as the ideal imaging modality for comprehensively characterizing FMR and the underlying myopathic processes that significantly impact response to FMR therapies. The goal of the current research is to develop personalized risk prediction for FMR patients through explainable unsupervised phenomapping enriched with advanced CMR imaging biomarkers, and to determine the CMR predictors of reverse remodeling following modern therapies for FMR.

The proposed research will leverage a large retrospective single center NICM CMR database. Our CMR NICM database currently features 458 NICM patients, who underwent CMR on a single CMR vendor platform from 2008-2017, who have been extensively curated with contoured data for standard CMR measures. An additional 802 NICM patients have been identified from our 2018-2021 CMR database with EF<50% with the same inclusion/exclusion criteria, which will be extensively curated to enable phenomapping discovery. An external 400 NICM patient cohort will be used as an external validation cohort.

The prospective study entails aiming to recruit 360 adult patients (ages >18 years) with EF 10-50% and FMR RF> 20%, who are clinically referred for CMR evaluation. Patients who enroll in our study will be referred for optimization of mGDMT with Heart Failure Pharmacist Clinic and followed every 2 weeks until optimized. All will return and undergo follow-up CMR studies at 6months. NICM patients who are fully medically optimized with significant FMR at the time of the baseline CMR and are referred for Mitraclip treatment will undergo follow-up CMR 6 months from Mitraclip intervention. NICM patients referred for mGDMT optimization, but have persistent or progressive FMR at the time of 6 month follow-up CMR and referred for Mitraclip therapy, will undergo a 2nd follow-up CMR 6 months from Mitraclip therapy. CMR will be done on dedicated cardiac research MRI scanner.

A ischemic cardiomyopathy subgroup will be assessed as a comparator cohort.

Who can participate

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

1 CMR LVEF <55% 2.FMR Fraction>20% or echo criteria consistent with at least moderate mitral regurgitation with adequate image quality

Exclusion criteria

  • >moderate aortic regurgitation/stenosis,
  • <18 years of age,
  • acute myocarditis,
  • eGFR<15
  • HCM
  • cardiac amyloidosis/sarcoidosis
  • prior mitral valve intervention
  • myocardial infarction within 8 weeks of CMR

Treatment and study plan

Cardiac Magnetic Resonance (CMR)

Diagnostic Test

Cardiac magnetic resonance (CMR) at 6 months. If referred to MitraClip, CMR will be performed at 6 months from the procedure.

Primary outcomes

  1. Composite of cardiac mortality, heart transplant, or LVAD implantation.

    Time frame: Up to 36 months

    Occurrence of cardiac mortality and/or heart transplant and/or LVAD implantation

Secondary outcomes

  1. Change in FMR

    Time frame: 6 months

    a change of >5 units/percentage points compared to baseline

  2. Change in NT-proBNP

    Time frame: 6 months

    30% change in NT-proBNP or decrease to level < 1000 compared to baseline

  3. Change in KCQL score

    Time frame: 6 months

    5 point change in KCQL score compared to baseline

  4. Change in 6-minute walk test

    Time frame: 6 months

    25 meter change in 6-minute walk test compared to baseline

  5. Recurrent heart failure hospitalization

    Time frame: up to 1 year

    Occurrence of heart failure related hospitalization

  6. Arrhythmias

    Time frame: up to 1 year

    Occurrence of arrhythmia

  7. MI

    Time frame: up to 1 year

    Occurrence of myocardial infarction

  8. Stroke

    Time frame: up to 1 year

    Occurrence of stroke

  9. Heart transplant

    Time frame: up to 1 year

    Occurrence of heart transplant

  10. LVAD implantation

    Time frame: up to 1 year

    Occurrence of implant of left ventricular assisted device (LVAD)

  11. Mortality

    Time frame: up to 1 year

    Occurrence of mortality

Study contacts

Contact information is provided by the study sponsor or research team.

Deborah Kwon, MD

CONTACT

[email protected]

216-444-8526

Sponsors and collaborators

Lead sponsor

The Cleveland Clinic

Other

Collaborators

  • National Heart, Lung, and Blood Institute (NHLBI)

Registry information

Official study title

Improving Phenotypic Classification and Prediction of Treatment Outcomes in Patients With Non-ischemic Cardiomyopathy and Functional Mitral Regurgitation

Important dates

Study start
2023
Primary completion
2028
Study completion
2028
First posted
Jul 28, 2023
Registry last updated
Oct 20, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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