Myocardial Characterization of Arrhythmogenic Mitral Valve Prolapse (STAMP: STretch and Myocardial Characterization in Arrhythmogenic Mitral Valve Prolapse)
NCT ID: NCT02879825
Last Updated: 2022-02-03
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
239 participants
INTERVENTIONAL
2016-12-20
2021-05-31
Brief Summary
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Mitral valve prolapse is routinely diagnosed using transthoracic echocardiography and only patients with significant mitral regurgitation will undergo subsequent examination (24-hour external loop recording, exercise ECG, cardiac MRI) and a close follow-up.
External loop recording and exercise ECG have an interest in the identification of patients presenting with arrhythmic complications, such as premature ventricular contractions, and in the global evaluation of hemodynamic consequences of the mitral regurgitation.
More recently, detection of myocardial fibrosis among patients with MVP and severe ventricular arrhythmia has been identified. Fibrosis could evolve independently of the valvular regurgitation's severity and could be a substrate (myocardial scar) leading to ventricular arrhythmia. However, no study has specifically characterized myocardial lesions among patients with MVP and none, or not significant, mitral regurgitation. Using cardiac magnetic resonance imaging (MRI), gold standard technique in myocardial imaging and characterization, and echocardiography, particularly speckle-tracking imaging, identification of static (fibrosis) and/or dynamic (ventricular systolic deformation patterns using speckle-tracking strain) myocardial lesions.
Identification of patients with impaired deformation patterns, fibrosis or with premature ventricular contractions may isolate a sub-group of patients with a higher risk of severe ventricular arrhythmia for whom a closer follow-up could be justified.
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Detailed Description
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Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
DIAGNOSTIC
NONE
Study Groups
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Group B
Mitral valve prolapse with trivial mitral regurgitation
Cardiac MRI
Group-A patients, with mitral valve prolapse but no mitral regurgitation, will undergo specifically for research purposes a cardiac MRI, 24-hour external loop recording and exercise ECG on top of regular echocardiography evaluation.
Realization of these examinations will be performed according to recommendations for patients with mitral regurgitation (groups B, C and D)
Group C
Mitral valve prolapse with moderate or mild mitral regurgitation and asymptomatic
Cardiac MRI
Group-A patients, with mitral valve prolapse but no mitral regurgitation, will undergo specifically for research purposes a cardiac MRI, 24-hour external loop recording and exercise ECG on top of regular echocardiography evaluation.
Realization of these examinations will be performed according to recommendations for patients with mitral regurgitation (groups B, C and D)
Group D
Mitral valve prolapse with severe mitral regurgitation or symptomatic
Cardiac MRI
Group-A patients, with mitral valve prolapse but no mitral regurgitation, will undergo specifically for research purposes a cardiac MRI, 24-hour external loop recording and exercise ECG on top of regular echocardiography evaluation.
Realization of these examinations will be performed according to recommendations for patients with mitral regurgitation (groups B, C and D)
Group A
Mitral valve prolapse without mitral regurgitation
Cardiac MRI
Group-A patients, with mitral valve prolapse but no mitral regurgitation, will undergo specifically for research purposes a cardiac MRI, 24-hour external loop recording and exercise ECG on top of regular echocardiography evaluation.
Realization of these examinations will be performed according to recommendations for patients with mitral regurgitation (groups B, C and D)
Interventions
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Cardiac MRI
Group-A patients, with mitral valve prolapse but no mitral regurgitation, will undergo specifically for research purposes a cardiac MRI, 24-hour external loop recording and exercise ECG on top of regular echocardiography evaluation.
Realization of these examinations will be performed according to recommendations for patients with mitral regurgitation (groups B, C and D)
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Signed written consent
* Affiliation to social security
* No contraindication to MRI or exercise ECG
* Age above 18
Exclusion Criteria
* Prior MRI with contrast within the last month
* Prior diagnosis of primary cardiomyopathy potentially responsible for myocardial fibrosis
* Contraindication to exercise ECG: severe handicap, poor physical capacity
* Contraindication to MRI: implantable device, claustrophobia, metal debris
* Renal insufficiency with creatinine clearance \<30 ml/min or prior serious side effect related to infusion of a magnetic contrast agent
* Pregnant or breast-feeding women
* Minors \<18 years old
* Mental illness or incapacity with incapacity to obtain informed consent
18 Years
ALL
No
Sponsors
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Central Hospital, Nancy, France
OTHER
Responsible Party
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Dr Olivier HUTTIN
Medical Doctor
Principal Investigators
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Olivier HUTTIN, MD, MSc
Role: PRINCIPAL_INVESTIGATOR
Department of Cardiology, Nancy University Hospital
Locations
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Nancy University Hospital, Department of Cardiology
Vandœuvre-lès-Nancy, , France
Countries
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References
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Basso C, Perazzolo Marra M, Rizzo S, De Lazzari M, Giorgi B, Cipriani A, Frigo AC, Rigato I, Migliore F, Pilichou K, Bertaglia E, Cacciavillani L, Bauce B, Corrado D, Thiene G, Iliceto S. Arrhythmic Mitral Valve Prolapse and Sudden Cardiac Death. Circulation. 2015 Aug 18;132(7):556-66. doi: 10.1161/CIRCULATIONAHA.115.016291. Epub 2015 Jul 9.
Huttin O, Pierre S, Venner C, Voilliot D, Sellal JM, Aliot E, Sadoul N, Juilliere Y, Selton-Suty C. Interactions between mitral valve and left ventricle analysed by 2D speckle tracking in patients with mitral valve prolapse: one more piece to the puzzle. Eur Heart J Cardiovasc Imaging. 2017 Mar 1;18(3):323-331. doi: 10.1093/ehjci/jew075.
Huttin O, Girerd N, Jobbe-Duval A, Constant Dit Beaufils AL, Senage T, Filippetti L, Cueff C, Duarte K, Fraix A, Piriou N, Mandry D, Pace N, Le Scouarnec S, Capoulade R, Echivard M, Sellal JM, Marrec M, Beaumont M, Hossu G, Trochu JN, Sadoul N, Marie PY, Guenancia C, Schott JJ, Roussel JC, Serfaty JM, Selton-Suty C, Le Tourneau T. Machine Learning-Based Phenogrouping in MVP Identifies Profiles Associated With Myocardial Fibrosis and Cardiovascular Events. JACC Cardiovasc Imaging. 2023 Oct;16(10):1271-1284. doi: 10.1016/j.jcmg.2023.03.009. Epub 2023 May 17.
Other Identifiers
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2016-A00954-47
Identifier Type: -
Identifier Source: org_study_id
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