Active clinical trials for "Coronary Disease"

Within a CAD patient cohort there is a wide variability of clinical manifestation and severity of coronary disease. Distinct determinants that would explain the variety of CAD phenotypes with differing prognosis are yet undiscovered. Aim of this study is to find genetic variants, biomarkers, and clinical cardiovascular risk factors that relate to specific coronary artery disease phenotypes and related pathologies in a patient population.

The multicenter Cardiology Monitoring Platform registry (mCMP-registry) is a prospective observational registry including multi-omics (diagnostic) measurements performed as part of routine clinical care, bio-banking (optional), and yearly questionnaires (optional). It's objective is to optimize (early) diagnosis and risk-stratification of (early) cardiovascular diseases, specifically cardiomyopathy phenotypes, arrhythmias, and coronary artery disease, and to create a better understanding of underlying pathophysiological processes.

This study is a multicenter, retrospective imaging study. The study intends to retrospectively enroll patients with acute myocardial infarction who had received coronary CTA in a certain time-window before this event. All coronary CTA will be analyzed by anatomic, functional and radiomic analysis, assisted by artificial intelligence. The purpose of this study is to establish a coronary artery disease risk stratification system by coronary CTA.

Coronary artery disease is the most important cause of death worldwide. Treatment option for coronary artery disease is medical treatment, percutaneous coronary intervention, or coronary artery bypass surgery. Among them, the field of percutaneous coronary intervention is rapidly developing with regard to the improvement of devices, techniques, or medical treatment, leading to reduce mortality or morbidity. Until now, numerous previous studies related to the risk factors of coronary artery disease and the prognosis of patients have been conducted. However, the field of percutaneous coronary intervention is rapidly evolving, and treatment strategies are constantly being updated. Therefore, the current study sought to identify the long-term prognosis and related risk factors of patients with coronary artery disease who underwent percutaneous coronary intervention.

The objective of this project is to validate, through high-throughput advanced metabolomics techniques, the nutritional assessment tools to be used in the IMPaCT cohort. At the same time, the ability of metabolomics fingerprints of nutritional patterns to discriminate between patients with and without major cardiovascular disease will be identified. Finally, the modification of these predictions will be evaluated based on the genetic profiles. The main hypothesis holds that the integration of metabolomics, genomic and nutritional information will serve to personalize the approach to cardiovascular disease, both in prevention and treatment, and that these tools, in turn, will be valid enough to be applied systematically and efficiently in the IMPaCT cohort.

Approximately 600,000 women are treated for acute coronary syndrome (ACS) annually in the US. ACS includes heart attack and a milder form called unstable angina. Many of these women have angiograms of which 14-39% show no "significant" coronary artery disease (CAD, cholesterol plaque accumulation in arteries of the heart). The remaining majority of women with ACS have cholesterol plaque buildup which appears severe enough on angiography to limit blood flow to the heart. It is difficult to advise women with heart attacks and no major heart artery blockages on what to do if chest pain happens again. Additional studies are needed to find out why this sort of heart attack happens and to help doctors understand how to treat patients who have this problem in the best possible way. Some women with heart attacks who have no major blockage in heart arteries have cholesterol plaque in the arteries of the heart cannot be seen on angiography but can be seen using a newer technique called intravascular ultrasound (IVUS). IVUS involves creating pictures of the artery walls using ultrasound (sound waves) from within the artery itself. In some women without major heart artery blockage, heart attack is caused by low blood flow due to disease of smaller blood vessels which cannot be seen on angiography or IVUS. This problem can be found using magnetic resonance imaging (MRI), which can show blood flow to the heart. MRI may also be used to show where the heart has been damaged. The pattern of damage could suggest that a heart attack in a woman, who has no badly blocked heart arteries, happened for one (or more) of these reasons or another reason. The Study of Women with ACS and Non-obstructive CAD (SWAN) will use IVUS and MRI to help determine the reasons for heart attacks in women with no major blockages in heart arteries.

The investigators aim to investigate the additive prognostic value of lesion-specific hemodynamic index such as ΔFFR, non-hyperemic pressure ratio such as RFR, over % diameter stenosis and FFR according to treatment strategy, and to find the prognostic implications of post-PCI FFR after adjustment of various clinical and disease characteristics, and to construct a comprehensive risk prediction model for post-PCI outcomes.

Long-term prognostic value of macrovascular and microvascular coronary artery stenoses in each type of cardiomyopathy.

The investigators prognostic impact of coronary artery disease (CAD) and of percutaneous coronary intervention (PCI) in patients with indication of TAVI is controversial, particularly in elderly population where CAD and aortic stenosis (AS) are frequent and commonly coexisted. (1-2) The primary end point of this prospective study is to compare major cardiovascular event at one year of follow up in patients over 80 years with severe aortic stenosis who referred for TAVI with or without associated CAD. The investigators will also assess (secondary endpoint) the impact of PCI on symptoms, major events and quality of life using geriatric parameters. The study will be conducted in the University hospital of Montpellier between November 2020 and November 2022

Define a signature of gut microbiota composition and related metabolites in patients with ST-elevation myocardial infarction, non ST-elevation myocardial infarction and chronic coronary disease (CAD).