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Clinical Trial Summary

Biomarkers and mechanisms in the progression of aortic valve stenosis are sometimes not sufficiently understood. The current project will take into account image morphological and immunological aspects that predict the development of hemodynamically relevant aortic valve stenosis in order to identify high-risk patients and to develop further therapeutic options.


Clinical Trial Description

Early recognition and management of aortic stenosis (AS) are substantial to avoid life threatening events during the clinical course. Multi-factorial complex mechanisms including fibrosis, oxidative stress, inflammation, angiogenesis, osteogenic differentiation and the effect of genetic risk variants have been proposed to be involved mechanistically in the pathogenesis of degenerative AS. It is crucial to identify the potentially involved mechanisms of AS progression in order to 1) identify patients at risk for pronounced cardiac damage and adverse outcomes that might benefit from early aortic valve replacement and 2) to discover treatment options that might slow down progression and lower adverse clinical events. The consortium´s work has revealed that various inflammatory events play a substantial role for the onset and progression of aortic valve calcification and stenosis in cell culture and small animal experiments We hypothesize that patients with and without rapid progress to severe aortic stenosis differ in terms of genetic, immunological and imaging parameters early in the disease course, and that these parameters can be combined to create strong and reliable predictors of disease progression. Hence, we plan to assess multiple morphological, functional, genetic and immunological readouts and investigate their capacity to predict disease progression in AS in a clinical observational cohort of 938 patients with moderate AS. This project is a working package as part of TRR259, which is a collaborative project between the three universities: Bonn, Cologne and Düsseldorf. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05851209
Study type Observational
Source Heinrich-Heine University, Duesseldorf
Contact Verena Veulemans, MD
Phone +4921118800
Email verena.veulemans@med.uni-duesseldorf.de
Status Not yet recruiting
Phase
Start date July 1, 2023
Completion date July 2031

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