View clinical trials related to Coronary Artery Disease.
Filter by:The Vascudyne Coronary Artery Bypass Study (VCAB-1) is an initial safety and feasibility study of the Vascudyne, Inc. Coronary Artery Bypass Conduit (CAB A) for bypass of stenosed native coronary arteries in patients undergoing coronary artery bypass surgery.
The objective of HeartFlow's DECIDE Registry is to collect observational data about the management of patients before and after HeartFlow Artificial Intelligence-Quantitative Coronary Plaque Analysis (AI-QCPA).
CAD-Man Extend is the long-term follow-up (clinical, laboratory, and computed tomography (CT) imaging) of a single-center, randomized, controlled CAD-Man trial comparing a CT-first strategy with a direct- invasive coronary angiography (ICA) diagnostic and management strategy, in 329 patients clinically referred for ICA with atypical angina or chest pain. Overall goal: The extension of CAD-Man follow-up (clinical, laboratory, and CT imaging) to approximately 10 years will provide the opportunity to compare plaque burden with CT-guided management versus direct-ICA at long-term and other endpoints.
The Heart-Brain project is a randomized controlled trial designed to examine the effects of two different exercise programs of 12-week duration: 1) aerobic high intensity interval training (HIIT), and 2) aerobic HIIT plus resistance training, on brain health and other outcomes in coronary heart disease patients.
The present clinical study aims to identify transcriptomic patterns derived from whole blood samples related to coronary atherotic burden. Additionally, as a secondary analysis, the research team will explore the algorithm's ability to detect the presence of aortic disease and pro-inflammatory cardiometabolic alterations, such as hepatic steatosis and surrogate markers of coronary inflammation.
This goal of this study is to better understand when and where intraoperative transesophageal echocardiography (TEE) should (or should not) be used during coronary artery bypass graft (CABG) surgeries.
The goal of this registry is to collect data on patients referred for clinically indicated coronary vasomotor function test (CFT) and answer different questions on prevalence, safety and outcomes. The registry is observational. Patients receive yearly online questionnaires on their anginal complaints for 5 years after their CFT.
Cardiovascular disease (CVD) is common, deadly, and costly, and adults with insomnia represent a large group of people at elevated risk of developing CVD in the future. This clinical trial will determine if our updated insomnia treatment, called the SHADES intervention, improves CVD factors thought to explain how insomnia promotes CVD and if these improvements are due to positive changes in sleep factors. A total of 200 primary care patients with insomnia and CVD risk factors will be randomized to 6 months of the SHADES intervention (internet, telephonic, and/or face-to-face cognitive-behavioral therapy for insomnia) or the active control condition (sleep education/hygiene, symptom monitoring, and primary care for insomnia). Before and after treatment, participants will complete measurements of the CVD factors (systemic inflammation, autonomic dysfunction, metabolic dysregulation, proinflammatory gene expression) and the sleep factors (insomnia symptoms, sleep onset latency, wake after sleep onset, sleep efficiency). Researchers will test whether the SHADES intervention produces greater improvements in the CVD factors than the active control condition.
A long-term evaluation of the impact of intensive diet and lifestyle intervention on coronary plaque dynamics in patients with coronary atherosclerosis diagnosed in computed tomography angiography (CCTA). 92 patients who completed the Dietary Intervention to Stop COronary Atherosclerosis in Computed Tomography study (DISCO-CT, NCT02571803) will be followed-up.
The goal of this observational study is to develop an automatic whole-process AI model to detect, quantify, and characterize plaques using coronary CT angiography in coronary artery disease patients. The main questions it aims to answer are: 1. Whether the AI model enables to detect and quantify coronary plaques compared with intravascular ultrasound or expert readers; 2. Whether the AI model enables to identify vulnerable plaques using intravascular ultrasound or optical coherence tomography as the reference standard. 3. Whether the AI model enables to predict future adverse cardiac events in a large cohort of 10,000 patients with non-obstructive CAD.