View clinical trials related to Coronary Disease.
Filter by:This study aims to assess the risk factors and evaluate the long-term outcomes of patients with coronary chronic total occlusion (CTO) treated with percutaneous coronary intervention or medical treatment.
The VITALYST Early Feasibility study (EFS) is designed to evaluate the feasibility and safety of the VITALYST System in subjects undergoing elective high-risk percutaneous coronary intervention (HR-PCI).
Sodium-glucose contrasporter-2 (SGLT-2) inhibitors make up an antidiabetic medication that promotes glycosuria. They are known to have an indirect reduction in cardiovascular complications, based on a series of in-depth studies. However, the effect of SGLT-2 inhibitors towards the thickness of epicardial adipose tissue and cardiac function in type 2 diabetes mellitus (T2DM) with coronary artery disease (CAD) patients in Malaysia has not yet been fully explored. Therefore, this study aims to determine the effects in epicardial adipose tissue thickness and its cardiac function in T2DM patients with CAD after the initiation of SGLT-2 inhibitors.
The objective of this observational study is to evaluate the diagnostic effectiveness of magnetocardiography (MCG) in patients with stable coronary artery disease (SCAD) and compare it with coronary CTA (CCTA). Additionally, the study aims to determine the most suitable diagnostic index for MCG. The primary question it seeks to address is whether MCG or MCG combined with CCTA can be utilized to guide the clinical application of percutaneous coronary intervention (PCI) for coronary heart disease.
The overall goal of this project is to compare the non-revascularization rate of coronary angiography in patients with stable coronary artery disease (CAD) within 90 days after CT myocardial perfusion imaging (CT-MPI) or Single-Photon Emission Computed Tomography myocardial perfusion imaging (SPECT-MPI), and 1-year major adverse cardiovascular events (MACE).
The North Kynouria Project was initiated to study cardiovascular/stroke risk factors by employing mass screening and long-term surveillance of an adult population in the municipality of North Kynouria, in the county of Arcadia, Peloponnese, Greece. The North Kynouria Study was initiated to assess modifiable and non-modifiable determinants of cerebrovascular and coronary heart disease.
This study is a prospective, multicenter, open-label, observational study to investigate the impact of using drug-coated balloons (DCBs) in the treatment of coronary artery lesions in patients with multivessel coronary artery disease (MVD), as opposed to the default strategy of using only drug-eluting stents (DES). The investigators aim to assess changes in clinical practice towards a hybrid treatment strategy (DES and DCB) and its effects on clinical outcomes.
The SFRGENISTA study aims to evaluate the long-term efficacy and safety of a paclitaxel-coated balloon catheter containing shellac and vitamin E excipients (Genoss® DCB) in patients with coronary in-stent restenosis (ISR).
Artificial Intelligence, trained through model learning, can quickly perform medical image recognition and is widely used in early disease screening and assisted diagnosis. With the continuous optimization of deep learning, the application of AI has helped to discover some previously unknown associations with other systemic diseases. Artificial intelligence based on retinal fundus images can be used to detect anemia, hepatobiliary diseases, and chronic kidney disease, and to predict other systemic biomarkers. The above studies provide a theoretical basis for the application of artificial intelligence technology based on retinal fundus images to the diagnosis and prediction of cardiovascular diseases. At present, there is still a lack of accurate, rapid, and easy-to-use diagnostic and therapeutic tools for predictive modeling of coronary heart disease risk and early screening tools in China and the world. Fundus image is gradually used as a tool for extensive screening of diseases due to its special connection with blood vessels throughout the body, as well as easy access, cheap and efficient. It is of great scientific and social significance to develop and validate a model for identification and prediction of coronary heart disease and its risk factors based on fundus images using AI deep learning algorithms, and to explore the value of AI fundus images in assisting coronary heart disease diagnosis and screening for a wide range of applications.
This Phase 2a clinical trial will evaluate the effectiveness, safety, and tolerability of increasing dose strengths of an oral daily medication, DFV890, administered for 12 weeks, or a single s.c. dose of MAS825, to reduce key markers of inflammation related to CVD risk, such as IL-6 and IL-18, in approximately 28 people with known coronary heart disease and TET2 or DNMT3A CHIP (VAF ≥2%).