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| Name | Class |
|---|---|
| University of Sheffield | OTHER |
| Ansys SAS | UNKNOWN |
| Catharina Ziekenhuis Eindhoven | OTHER |
| Akademia Górniczo-Hutnicza im. Stanisława Staszica |
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Valvular Heart Disease currently affects 2.5% of the population, but is overwhelmingly a disease of the elderly and consequently on the rise. It is dominated by two conditions, Aortic Stenosis and Mitral Regurgitation, both of which are associated with significant morbidity and mortality, yet which pose a truly demanding challenge for treatment optimisation. By combining multiple complex modelling components, a comprehensive, clinically-compliant decision-support system will be developed to meet this challenge, by quantifying individualised disease severity and patient impairment, predicting disease progression, ranking the effectiveness of alternative candidate procedures, and optimising the patient-specific intervention plan.
In addition the DSS will improve knowledge of disease mechanisms by applying a holistic assessment of cardiovascular function that includes hemodynamic data at all cardiovascular compartments (ventricle, valve, vessels) and multiscale components that couple organ with cell function.
DSS may have major impact on patients with borderline indications for treatment (valve replacement/repair), complex hemodynamic conditions such as combined aortic-mitral valve disease and valve geometries that are subject to valve repair.
The target user of this Decision Support System is the healthcare professional, in this case the surgeon or cardiologist, who will make the decision on the nature and timing of the intervention. The major advance of this system over current practice is that it integrates and interprets all heterogeneous data available about the patient, integrates population data where needed, and provides a consistent, repeatable, quantitative and auditable record of the information that contributes to the decision process.
Study design:
In the study a Decision Support System for aortic and mitral valve replacement/repair will be implemented and tested. Not all of the assessments listed will be performed on every patient, but sufficient to support the analysis processes.
The patients are enrolled in two subgroups:
The study has the following visits at all clinical centers:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Mitral valve disease |
| ||
| Aortic valve disease |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Surgical treatment of valvular heart disease | Procedure | Valve replacement or repair |
|
| Measure | Description | Time Frame |
|---|---|---|
| Virtual treatment outcome: model based insufficiency or gradient across the valve | 6-12 months after treatment | |
| Clinical treatment outcome: Imaging based insufficieny or gradient across the valve | 6-12 months after treatment | |
| Survival | 6-12 months after treatment | |
| Probability (in %) of reaching of a patient-specific 6-minute walk distance | Patient-specific walk test distances are calulated based on known reference standards | 6-12 months after treatment |
| 6-minute walk test distances | distances in meters | 6-12 months after treatment |
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Inclusion Criteria:
Exclusion Criteria:
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Adult patients from Berlin, Sheffield and Eindhoven with heart valve disease and a planned intervention.
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| Name | Affiliation | Role |
|---|---|---|
| Rod Hose, Prof. | University of Sheffield | Study Chair |
| Pim Tonino, Dr. | Stichting Catharina Ziekenhuis | Study Chair |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 34762513 | Derived | Berndt N, Eckstein J, Wallach I, Nordmeyer S, Kelm M, Kirchner M, Goubergrits L, Schafstedde M, Hennemuth A, Kraus M, Grune T, Mertins P, Kuehne T, Holzhutter HG. CARDIOKIN1: Computational Assessment of Myocardial Metabolic Capability in Healthy Controls and Patients With Valve Diseases. Circulation. 2021 Dec 14;144(24):1926-1939. doi: 10.1161/CIRCULATIONAHA.121.055646. Epub 2021 Nov 11. |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Feb 28, 2019 | Aug 15, 2019 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D006349 | Heart Valve Diseases |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
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| UNKNOWN |
| University of Rennes | OTHER |
| Max-Delbrück-Centrum für Molekulare Medizin | UNKNOWN |
| Philips Electronics Nederland BV | INDUSTRY |
| Philips Healthcare | INDUSTRY |
| Sheffield Teaching Hospitals NHS Foundation Trust | OTHER |
| Therenva | INDUSTRY |
| Eindhoven University of Technology | OTHER |
| University of Bristol | OTHER |
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| Virtual treatment | Diagnostic Test | Virtual valve replacement or repair surgery |
|