View clinical trials related to Aortic Stenosis.
Filter by:The goal of this prospective clinical study is improve the diagnosis of Low-flow low-gradient aortic stenosis (LF/LG AS), in patients with co-existing wild-type transthyretin cardiac amyloidosis (ATTRwt). The main question it aims to answer is whether the classic dobutamine-stress echocardiography can be used to determine AS severity in patients with ATTRwt and LF/LG AS This question will be tried to answer by comparing dobutamine stress echocardiography, with the invasively measured aortic valve area (which is considered as the gold standard). In addition we aim to assess the degree of myocardial fibrosis and amyloid infiltration, assessed by light microscopy and cardiac magnetic resonance (CMRI) and evaluation of myocyte mitochondrial function by high resolution respirometry and their relation to AS severity and hemodynamic response to dobutamine.
There is a lack of data on patients self-reported outcomes (PROMs) on health-related quality of life (HRQoL)and symptoms on anxiety and depression 10 years after Surgical After Aortic Valve Replacement (SAVR), and patient reported experiences with the health services (PREMS). In this 10-years follow-up study on patients alive from the study named "The Impact of 24/ 7-phone Support on Readmission After Aortic Valve Replacement, a Randomized Clinical Trial (AVRre)" NCT02522663 we will repeat the survey on symtoms on anxiety and depresion using Hospital Anxiety and depression Scale (HADS), health-related quality of life (EQ-5D) and questions about experiences with the health services.
Transcatheter aortic valve implantation (TAVI) is being offered to younger patients affected by severe aortic stenosis as an alternative to surgery. Although historically excluded from the main randomized clinical trials, patients with native bicuspid aortic valve (BAV) are commonly treated in daily TAVI practice. Indeed, several observational studies reported similar outcomes of TAVI in BAV patients compared to tricuspid aortic valve (TAV) patients. Notably, BAV is frequently associated with aortic dilatation (20% to 84% of BAV patients). Surgical patients usually undergo concomitant aortic root replacement if aortic diameter exceed 50 mm (5). TAVI patients do not undergo treatment of the concomitant aortopathy, but currently there is a paucity of data regarding the progression of the aortopathy after AS treatment (6,7). The main aim of this ambispective, multicenter study is to evaluate the progression of the bicuspid valve-associated aortopathy in patients undergoing TAVI by computed tomography angiography (CTA) assessment at follow-up.
The goal of the NEO2 BAV registry is to investigate the safety, effectiveness, and clinical performance of TAVI using the ACURATE neo2 valve in patients with severe BAV stenosis. The clinical, procedural, and imaging characteristics will be collected from patients with severe BAV stenosis, regardless of the phenotype, and treated with TAVI using the ACURATE neo2 bioprosthesis worldwide.
A Prospective, Multicenter, Non-Randomized, Single-Arm, Open-Label Continued Access Study of the ShortCut™ device (The ShortCut™ CAS). The continued access study will be used to collect additional safety and effectiveness data of the ShortCut™ device for splitting bioprosthetic aortic valve leaflets, and to demonstrate coronary artery ostia patency following leaflet split, in patients who are at risk for TAVR-induced coronary artery ostium obstruction following a ViV procedure.
The aim of PLUTO-II is to use biventricular pressure-volume (PV) loop measurements to improve the understanding of direct changes in cardiac and hemodynamic physiology induced by transcatheter aortic valve implantation (TAVI) or tricuspid edge-to-edge repair (TEER). These procedures evoke immediate changes in cardiac mechanoenergetics, ventricular-vascular interaction as well as ventricular (in)dependency. Within the context of PLUTO-II, patients will undergo biventricular PV-loop measurements before and after TAVI or TEER. In future, the application of perprocedural PV loop monitoring may tailor the daily individual decision making process during structural interventions in the catheterization laboratory.
The goal of this study is to increase shared decision making for patients considering treatment for severe aortic stenosis. The main questions it aims to answer are: - Do patient decision aids and clinician skills training course improve the quality of decisions, and do they work well for different patient populations? - Are heart clinics able to reach the majority of patients with decision aids before their specialist visit and do the majority of clinicians complete the training course? All participating sites will start in the usual care group and then will be randomly assigned a time to switch to the intervention group. Participants will complete surveys before and after their specialist visit. Researchers will compare data from patients seen during usual care with data from those seen after the interventions are implemented to see if there are improvements in the quality of decisions.
The study aims to evaluate composition differences of aortic valves in different stages and phenotypes of aortic stenosis using non-invasive imaging and histology.
The dual pathology of aortic stenosis (AS) and cardiac amyloidosis (CA) is increasingly recognized. Even tough efforts have been undertaken to bring cohorts together, the largest cohort of AS-ATTR to date is <50 patients. It is the aim of the present international, multi-center registry to collect ~300 patients with AS-CA creating a big enough cohort to allow 1. thorough characterization of this condition 2. assessment of log-term clinical outcomes of AS-CA 3. assessment of effectiveness of amyloid-specific treatment on top of valve replacement
Background: Artificial Intelligence (AI) in cardiac imaging has previously been shown to provide highly reproducible and accurate results, outperforming clinical experts. Cardiac magnetic resonance (CMR) imaging represents the gold standard for assessment of myocardial structure and function. However, measurements of more sensitive markers of early left (LV) and right ventricular (RV) function, such as global longitudinal shortening (GLS), mitral annular plane systolic excursion (MAPSE), and tricuspid annular plane systolic excursion (TAPSE), are frequently not performed due to the lack of automated analysis. Objectives: The investigators aim to evaluate whether AI-based measurements of ventricular structure and function convey important prognostic information in patients with severe aortic stenosis (AS) beyond LV and RV ejection fraction (EF) and represent early markers of adverse cardiac remodeling. Materials & Methods: This large-scale international, multi-center, observational study will recruit ~1500 patients with severe AS scheduled for aortic valve replacement (AVR). Patients are invited to undergo CMR imaging prior to AVR and at 12-months post-AVR. An AI-based algorithm, developed in the UK, will be used for fully automated assessment of parameters of cardiac structure (end-diastolic volume, end-systolic volume, LV mass, maximum wall thickness) and function (EF, GLS, MAPSE, TAPSE). Application of the AI-model allows to capture these parameters for large patient cohorts within seconds (as opposed to the current practice of time-consuming manual post-processing). Association of AI-based CMR parameters with clinical outcomes post-AVR will be analyzed. The composite of all-cause mortality and heart failure hospitalization will serve as the primary endpoint. Trajectories of AI-based parameters from pre- to post-AVR will be assessed as a secondary endpoint. Future Outlook: In severe AS, a novel AI-based algorithm allows immediate and precise measurements of ventricular structure and function on CMR imaging. Our goal is to identify early markers of cardiac dysfunction indicating adverse prognosis post-AVR. This has guideline-forming potential as the optimal timepoint for AVR in patients with AS is currently a matter of debate.