View clinical trials related to Coronary Artery Disease.
Filter by:This study consists of two parts. The SAD and MAD of part I are a randomized, double-blind, placebo-controlled, single and multiple ascending dose study in healthy adult subjects. The MAD expansion cohort of part I is single arm and multipal ascending dose in heallthy subjects. Part II (phase Ib/IIa) is a multicenter, randomized, controlled, open label, multiple ascending dose study in patients with coronary atherosclerosis.
This study is to explore whether a computed tomography (CT) scan of the heart arteries might improve the care of patients that have presented with a suspected Type 2 myocardial infarction (MI). The Investigators hope to demonstrate that these patients may be the ideal group of patients to benefit from cardiac CT scan imaging by; 1. confirming whether they have any disease in their heart arteries 2. demonstrating the severity of the heart artery disease 3. revealing an alternative cause for their presentation 4. avoiding the need for an invasive heart artery angiogram.
Coronary angiography is a reliable and valid method used in the diagnosis of Coronary Artery Disease (CAD). Coronary angiography is defined as the process of obtaining cineangiographic images by administering radio-opaque material to the coronary vessels via arterial route. Coronary angiography is frequently performed from brachial, radial and femoral arteries. The aim of coronary angiography is to determine the presence, localisation and extent of cardiovascular lesions. Invasive interventions cause anxiety and pain in the patient, increase the level of anxiety and cause a number of negative effects such as increased use of sedative drugs, development of post-procedure complications, prolongation of the recovery process and hospitalisation time. It is stated that there is a positive relationship between reducing the anxiety of the patients and meeting the needs of the patients.
The PM-Heart algorithm (PMHeartIHD) is an in-house developed software that predict the survival prognosis for the individual patient hospitalized with ischemic heart disease (IHD) after a coronary arteriography has been performed. The software is intended to be used as a clinical decision support system i.e. the calculated survival prognosis is expected to enhance the quality of the treating physician's therapeutic considerations concerning (minor) adjustments to the patients treatment and follow-up - all within the framework of the current medical guidelines. Thus, the algorithm does not "show the physician specifically what to do", but rather ensures a better knowledgebase for the overall interpretation and choice of management of the patient.
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, to reduce key markers of inflammation related to CVD risk, such as IL-6 and IL-18, in approximately 24 people with known heart disease and an elevated marker of inflammation, hsCRP.
Recent evidences have demonstrated improved diagnostic accuracy for detecting coronary artery disease (CAD) when myocardial blood flow (MBF) is quantified in absolute terms using single photon emission tomography (SPECT) compared to conventional myocardial perfusion imaging (MPI). However, there are no uniformly accepted cutoff values of MBF and MFR derived from SPECT for diagnosing hemodynamically significant CAD. Particularly, the diagnostic performance for quantitative SPECT has not been validated using fractional flow reserve (FFR). The aim of this prospective study is to determine optimal cutoff values of absolute MBF and MFR derived from NaI (Tl)-based SPECT and to evaluate the diagnostic efficacy of this quantitative technology utilizing invasive coronary angiography (ICA) in combination with FFR results as the reference standard in patients with suspected or known CAD.
CAD is a leading cause of mortality in Europe. cCTA is recommended to rule out obstructive CAD, but, in most patients, it shows non-obstructive CAD. The management of these patients is unclear due to lack of reproducible quantitative measurement, beyond stenosis severity, capable to assess the risk of disease progression towards developing MACEs. To improve identification and phenotypization of patients at high risk of disease progression, we propose the application of artificial intelligence algorithms to cCTA images to automatically extract periluminal radiomics features to characterize the atherosclerotic process. By leveraging machine-learning empowered radiomics we aim to improve patients' risk stratification in a robust, quantitative and reproducible fashion. By developing a novel quantitative AI based cCTA measure, we expect to provide a risk score capable to identify patients who can benefit of a more aggressive medical treatment and management, thus improving outcome
This clinical trial develops and tests a culturally-appropriate educational program (Indigenous SIPin) for reducing sugar-sweetened beverage consumption in men affiliated with Native American athletics communities. Sugary drinks are drinks like pop, soda, and juice. Increased sugar consumption may lead to an increased risk of chronic diseases, including obesity, diabetes, some types of obesity-related cancers, coronary heart disease, hypertension, and dental decay. A culturally sensitive program may help reduce sugar-sweetened beverage consumption in Native American men
Coronary artery disease (CAD) is a leading cause of mortality in western countries. Coronary computed tomography angiography (cCTA) is the first-line imaging test in patients with suspected obstructive CAD. However, in most patients, cCTA shows non-obstructive CAD. The management of patients with non-obstructive CAD is unclear. This is due to the lack of cCTA-based methods capable to assess the risk of disease progression towards developing major adverse cardiovascular events (MACEs) based on the atherosclerosis characteristics of each patient. A solution for prognostication in these patients is particularly appealing since it could allow to identify patients who can benefit of a more aggressive medical treatment and management, thus improving outcome. Proposed methods, which include qualitative evaluations such as the identification of adverse atherosclerotic plaque characteristics or quantitative evaluations such as the quantification of atherosclerotic plaque burden, may in some cases suffer of limited reproducibility between operators and software. Most importantly, each single biomarker is insufficient to accurately predict patient risk, hence potential synergic integration of cCTA and clinical biomarkers is the key to efficiently guide the personalization of patient's management. Furthermore, the few risk stratification methods that have been proposed are not designed to work on platforms capable of deploying the solution to other clinical settings, promoting prospective or external validation
The aims of study are (1) to compare early and 1-year graft patency rates in patients who underwent coronary artery bypass grafting (CABG) based on conventional coronary angiography(CAG) versus cardiac computed tomography(CT)-derived fractional flow reserve(FFR), and (2) to demonstrate difference in clinical outcomes between the 2 groups.