Active clinical trials for "Aortic Valve Stenosis"

Severe aortic valve stenosis is known to affect heart haemodynamics, endothelial function and body inflammation markers. Our aim is to investigate the weather transcatheter aortic valve implantation in patients with severe aortic stenosis affects heart rate variability, inflammation markers and endothelial function.

Background: Computer aided auscultation in the differentiation of pathologic (AHA class I) from no- or innocent murmurs (AHA class III) via artificial intelligence algorithms could be a useful tool to assist healthcare providers in identifying pathological heart murmurs and may avoid unnecessary referrals to medical specialists. Objective: Assess the quality of the artificial intelligence (AI) algorithm that autonomously detects and classifies heart murmurs as either pathologic (AHA class I) or as no- or innocent (AHA class III). Hypothesis: The algorithm used in this study is able to analyze and identify pathologic heart murmurs (AHA class I) in an adult population with valve defects with a similar sensitivity compared to medical specialist. Methods: Each patient is auscultated and diagnosed independently by a medical specialist by means of standard auscultation. Auscultation findings are verified via gold-standard echocardiogram diagnosis. For each patient, a phonocardiogram (PCG) - a digital recording of the heart sounds - is acquired. The recordings are later analyzed using the AI algorithm. The algorithm results are compared to the findings of the medical professionals as well as to the echocardiogram findings.

The goal of this observational study is to compare the overal survival after transcatheter aortic valve implantation (TAVI) according to sarcopenia status evaluated from preprocedural CT scans. The main question it aims to answer is: • Is CT evaluated sarcopenia an independent predictor of overal survival after TAVI?

Transcatheter aortic valve implantation is increasingly used to treat patients with severe aortic stenosis who are at increased risk for surgical aortic valve replacement and is projected to be the preferred treatment modality. As patient selection and operator experience have improved, it is hypothesised that device-host interactions will play a more dominant role in outcome. This, in combination with the increasing number of valve types and sizes, confronts the physician with the dilemma to choose the valve that best fits the individual patient. This necessitates the availability of pre-procedural computer simulation that is based upon the integration of the patient-specific anatomy, the physical and (bio)mechanical properties of the valve and recipient anatomy derived from in-vitro experiments. Patient-specific computer simulation may improve outcome of TAVI by proposing the valve size that best fits the individual patient. The aim of this study is to assess the added value of patient-specific computer simulation in valve size selection.

Calcified aortic valve stenosis (CAVS) is a progressive disease and nowadays, the cornerstone in diagnostics and follow-up is echocardiography. Cardiac biomarkers (such as cardiac troponins T and I and NT-pro-BNP) hold promise to fulfil a role in early recognition of complications concerning the aortic valve and decompensation. For this purpose, it is important to assess the normal biological variation (BV) of cardiac biomarkers in CAVS. The assessment of biological variation will contribute to a better understanding of fluctuation of cardiac biomarkers in subjects with stable CAVS. These data will improve monitoring of CAVS using cardiac biomarkers.

This is a prospctive, unrandomized multicentric registry which will enrol patients with an indication for aortc valve replacement combined with myocardial reperfusion (CABG). The registry will collect patient specific baseline data and established risk scores (Logistic Euroscore I & II, STS-Score, KBA Score) to enable us to make an estimate about the perioperative risks.

Multi-centre, multi-national, observational, prospective registry in four central full access centres in Germany (2), France (1) and the United Kingdom (1) and up to two satellites per hub (smaller hospitals / office based cardiologists (OBC) without access to surgical and percutaneous aortic valve (AV) interventions). The hypothesis is that the management of patients with severe AS will differ between sites with on-site access to all treatment modes and those without such facilities.

The purpose of this study is to evaluate the clinical outcomes of transcatheter aortic valve replacement (TAVR) in the Asian Pacific population

This observational cohort study studies the impact myocardial fibrosis has on patients with severe aortic stenosis undergoing aortic valve replacement.

The asses and evaluate whether trans apical access for TAVR is associated with apical dysfunction.