Active clinical trials for "Myocardial Ischemia"

The National Tunisian Registry of Percutaneous Coronary Intervention is an observational, prospective and multicenter study aiming to assess coronary intervention strategies in tunisian departments of cardiology. Cardiologists from both sectors (public and private) are participating in the study, with 37 investigational centers. Data will be captured electronically by DACIMA Clinical Suite, according to FDA 21 CFR part 11 (Food and Drug Administration 21 Code of Federal Regulations part 11), HIPAA (Health Insurance Portability and Accountability Act) & ICH (International Conference on Harmonisation) requirements.

This is a prospective, single center study involving 150 patients with stable coronary artery disease undergoing coronary angiography for chest pain evaluation. The relationship between FFR values and inducible myocardial ischemia at the time of definite ischemia during adenosine stress testing will be investigated.

Develop time-to-event prediction and plaque phenotype classification models for patients with known or suspected coronary artery disease.

This work suggests a methodology to adapt the injected radionuclide activity to the level of attenuation of each patient. The investigators propose a dose reduction adapted to the patient's weight, with no significant degradation of the image quality, in order to improve patients and staff radioprotection, standardize the image quality for easier clinical interpretation, and lead to radiopharmaceutical saving in the context of myocardial perfusion Imaging.

Diabetes is a major cause of morbidity and mortality worldwide and it contributes substantially to healthcare costs. Type 2 Diabetes mellitus is the most common type of diabetes accounting for approximately (90%) of all cases. Type 2 DM carries a two to six times risk of death from cardiovascular etiologies, such that age adjusted prevalence of white Americans for coronary artery disease (CAD) is double in those with type 2 DM than those without .

Patients undergoing surgical aortic valve replacement (sAVR) with concomitant coronary artery disease (CAD) are known to have higher mortality rates compared to patients without CAD. This same phenomenom has not been clearly mapped in patients with CAD that goes through a transcatheter aortic valve implantation procedure.

Valvular heart diseases are significant problem in Polish population. Coexistence of coronary artery disease in patients with VHD increases the risk of death and affects further therapeutic strategy. The aim of the study is analysis the epidemiology and the long-term prognosis among patients with VHD.

The aim of the Fused-Heart study is to investigate the impact of a coronary artery stenosis on myocardial function and viability, based on advanced fusion imaging techniques derived from CCTA. Moreover the study will investigate the correlation between morphology and composition of atheromatous plaques located in a coronary artery and myocardial ischemia in the territory irrigated by the same coronary artery.

The study aim is to evaluate whether DPP4-inhibitor could reduce coronary atherosclerosis assessed by CT scan in patients receiving insulin for diabetes mellitus. In this retrospective study, changes in obstructive coronary artery disease prevalence and coronary calcium burden between two coronary CT scans will be compared in patients with and without receiving DPP4-inhibitor.

This study aims to gather information to what extent patients follow the treatment regimen of low-dose aspirin for primary and secondary prevention of diseases of the heart and blood vessels. Researcher will collect information about the percentage of time a patient has access to the medication, how long patients continue with the medication and of the proportion of patients who switch from dual-antiplatelet therapy (including low-dose aspirin) to a single antiplatelet therapy. The study will make use of secondary healthcare data sources converted in to Observational Medical Outcomes Partnership (OMOP) common data model within the Observational Health Data Sciences and Informatics (OHDSI) network.