View clinical trials related to Aortic Insufficiency.
Filter by:This project aims to create a data warehouse based on care data of patients with an aortic insufficiency admitted to the Groupement des Hôpitaux de l'Institut Catholique de Lille (GHICL) since 2011. The aim is to enable the utilisation of this data for research purposes.
The goal of this interventional is to assess advantages of the ultrasound examination of the lungs in the early postoperative period in cardiac surgical patients after heart surgeries requiring cardiopulmonary bypass. Evaluation of pulmonary complications and outcomes during mid-term follow-up, as well as comparison of ultrasound examination and traditional roentgenologic methods (X-ray examination and CT of the chest) will be performed. The main question[s] it aims to answer are: - Is ultrasound examination of the lungs a more specific and sensitive method in identification of early postoperative pulmonary complications after on-pump cardiac surgical procedures, in comparison with traditional X-ray methods. - Does early identification of interstitial pulmonary edema (based on number of visualised B-lines in the early postoperative period), influences mid-term outcomes in this cohort of patients Participants will undergo ultrasound examination of the lungs on postoperative day 1, 3, 5 and 7 after heart surgery. Based on ultrasound findings and degree of interstitial pulmonary edema, medical (diuretics, anti-inflammatory, e.t.c) therapy will be modified. Researchers will compare this group of patients with control group, in which ultrasound examination will be performed in the same time frames, but no changes in medical management based on ultrasound findings will be made to see if timely administered medical therapy, based on ultrasound findings, can significantly improve symptoms, hospital lengths of stay and outcomes of this patients.
To Evaluate the Safety and Effectiveness of Transcatheter Aortic Valve System ( Chengdu Silara Medtech Inc. ,Chengdu, China)in Patients with Severe Symptomatic Aortic Insufficiency
The objective of this clinical trial is to collect data on procedural safety and device performance of the Portico and Navitor devices and FlexNav delivery system to treat patients with severe aortic stenosis in the Indian population.
The objective of this data-collection study is to retrospectively evaluate the safety and clinical performance of the Portico transthoracic aortic valve for Valve-in-Valve treatment of a failed aortic surgical bioprosthetic valve in patients who are considered at increased surgical risk for a redo surgical aortic valve replacement.
This is a prospective single center Cardiology department observational study. The study aim is to better understand the predictors of high grade conduction abnormalities associated with TAVR such that a more robust evidence-based and universal strategy to manage cardiac conduction disturbances in these patients, which has been elusive, can be developed.
To collect information about treatment for symptomatic severe Aortic Regurgitation (AR), which affects the aortic valve in the heart. Aortic regurgitation is a condition where aortic valve in the heart does not close tightly and allows some blood to leak back into the heart chamber. Symptoms of aortic regurgitation may include fatigue and shortness of breath. The preferred treatment for severe aortic regurgitation is aortic valve replacement surgery.
This study will evaluate the safety and performance of the ADAPT 3D - ALR in adult patients requiring replacement of aortic valve. 15 patients in one site in Belgium will all be treated with ADAPT 3D - ALR.
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.
This study will quantify the safety and efficacy of the CardioCel implant in tri-leaflet repair. 80 patients in up to 7 sites in Europe and the US will all be treated with the CardioCel implant.