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
112 participants
OBSERVATIONAL
2014-03-31
2016-12-31
Brief Summary
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Detailed Description
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The standard of treatment for aortic stenosis is an operation, aortic valve repair (AVR), where a mechanical or biological valve replaces the old one. The operation involves a substantial risk of postoperative mortality, and is therefore delayed until the patient develops symptoms such as shortness of breath, chest pains or syncope. For most patients AVR causes significant symptom reduction and reduced mortality. Recent studies have indicated that patient with severe MF, which may account for up to one third of the patients treated, have little or no symptom improvement and an increased mortality after AVR. This raises concern that their LV is so severely fibrotic that it is beyond repair. These patients may not benefit from an operation, or should possibly have had AVR performed at an earlier stage of the disease.
Today, cardiac fibrosis can be detected by a biopsy which is invasive. Late Gadolinium and T1-mapping cardiac Magnetic Resonance imaging (MRi) has recently been evaluated as a new method to detect MF, but this method is costly and contraindicated for some patients. Cardiac Computerized Tomography (CT) has been proposed as a method to evaluate MF, but has not been properly validated yet.
In this study we compare different methods (biopsy, MRi, CT, echocardiography and different biomarkers) to evaluate the extent of MF in 130 patients with severe aortic stenosis undergoing AVR. We will focus on their symptom improvement and survival rate one year after the operation. Our main thesis is that patients with severe fibrosis before the operation have little or no symptom improvement and reduced survival after the operation. If this thesis is correct, it will question which patients to offer AVR. Some patients we operate today may have no benefit from the operation because the left ventricle is damaged from severe fibrosis, and some patients from who we withhold the operation today because they are asymptomatic may benefit from AVR before they develop severe fibrosis.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Scheduled for aortic valve replacement.
* Signed consent
Exclusion Criteria
* Primary aortic insufficiency.
* Persistent or permanent atrial fibrillation/flutter.
* CKD with e-GFR \< 40 ml/kg/min.
* Pacemaker or Implantable Cardioverter Defibrillator (ICD).
18 Years
ALL
No
Sponsors
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Odense University Hospital
OTHER
Responsible Party
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Rasmus Carter-Storch
MD
Principal Investigators
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Jacob E Møller, MD PhD DMsc
Role: STUDY_DIRECTOR
Odense University Hospital
Jordi S Dahl, MD, Ph.D.
Role: STUDY_CHAIR
Odense University Hospital
Kristian A Øvrehus, MD, Ph.D.
Role: STUDY_CHAIR
Odense University Hospital
Lars M Rasmussen, MD PhD DMsc
Role: STUDY_CHAIR
Odense University Hospital
Locations
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Odense University Hospital
Odense C, , Denmark
Countries
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References
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Carter-Storch R, Mortensen NSB, Christensen NL, Ali M, Laursen KB, Pellikka PA, Moller JE, Dahl JS. First-phase ejection fraction: association with remodelling and outcome in aortic valve stenosis. Open Heart. 2021 Feb;8(1):e001543. doi: 10.1136/openhrt-2020-001543.
Carter-Storch R, Dahl JS, Christensen NL, Pecini R, Sondergard EV, Ovrehus KA, Moller JE. Postoperative atrial fibrillation after aortic valve replacement is a risk factor for long-term atrial fibrillation. Interact Cardiovasc Thorac Surg. 2019 Sep 1;29(3):378-385. doi: 10.1093/icvts/ivz094.
Carter-Storch R, Moller JE, Christensen NL, Irmukhadenov A, Rasmussen LM, Pecini R, Ovrehus KA, Sondergard EV, Marcussen N, Dahl JS. Postoperative Reverse Remodeling and Symptomatic Improvement in Normal-Flow Low-Gradient Aortic Stenosis After Aortic Valve Replacement. Circ Cardiovasc Imaging. 2017 Dec;10(12):e006580. doi: 10.1161/CIRCIMAGING.117.006580.
Other Identifiers
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AMFAST
Identifier Type: -
Identifier Source: org_study_id
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