Myocardial Characterization of Arrhythmogenic Mitral Valve Prolapse (STAMP: STretch and Myocardial Characterization in Arrhythmogenic Mitral Valve Prolapse)
STAMP
1 other identifier
interventional
239
1 country
1
Brief Summary
Mitral valve prolapse (MVP) is a frequent affection of the mitral valve or its sub-valvular apparatus with a prevalence of 2-3% in the general population. This valvular disease is generally considered as benign, but may at term evolve toward mitral valve regurgitation of various severity and/or arrhythmia. 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Dec 2016
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 23, 2016
CompletedFirst Posted
Study publicly available on registry
August 26, 2016
CompletedStudy Start
First participant enrolled
December 20, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 31, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
May 31, 2021
CompletedFebruary 3, 2022
January 1, 2022
4.4 years
August 23, 2016
January 20, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Evidence of ventricular arrythmia (premature ventricular contraction or tachycardia)
Occurrence of any ventricular arrythmia on external loop recording or exercise ECG
Within 15 days
Evidence of myocardial fibrosis on cardiac MRI
Visualisation of any late gadolinium enhancement
Within 15 days
Secondary Outcomes (3)
Estimation of mitral regurgitation severity on echocardiography
At inclusion
Description and evaluation of ventricular myocardial deformation patterns
Within 15 days
Comparative evaluation of mitral regurgitation using echocardiography and cardiac MRI
Within 15 days
Study Arms (4)
Group A
EXPERIMENTALMitral valve prolapse without mitral regurgitation
Group B
EXPERIMENTALMitral valve prolapse with trivial mitral regurgitation
Group C
EXPERIMENTALMitral valve prolapse with moderate or mild mitral regurgitation and asymptomatic
Group D
EXPERIMENTALMitral valve prolapse with severe mitral regurgitation or symptomatic
Interventions
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)
Eligibility Criteria
You may qualify if:
- Mitral valve prolapse diagnosed in echocardiography
- Signed written consent
- Affiliation to social security
- No contraindication to MRI or exercise ECG
- Age above 18
You may not qualify if:
- Mitral valve prolapse with severe regurgitation and instable hemodynamic state requiring urgent surgery
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Nancy University Hospital, Department of Cardiology
Vandœuvre-lès-Nancy, 54511, France
Related Publications (3)
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.
PMID: 26160859BACKGROUNDHuttin 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.
PMID: 27099279BACKGROUNDHuttin 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.
PMID: 37204382DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Olivier HUTTIN, MD, MSc
Department of Cardiology, Nancy University Hospital
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Medical Doctor
Study Record Dates
First Submitted
August 23, 2016
First Posted
August 26, 2016
Study Start
December 20, 2016
Primary Completion
May 31, 2021
Study Completion
May 31, 2021
Last Updated
February 3, 2022
Record last verified: 2022-01