View clinical trials related to Cardiovascular Diseases.
Filter by:Cardiac surgery has been described as altering endothelium structure and function, notably because of the use of cardiac-pulmonary bypass (CPB). Among the endothelial structure, glycocalyx, the thin layer recovering the endothelial surface, may be altered by the inflammatory process and probably the modification of flow during CPB. Endothelial and glycocalyx integrity are essential for vascular function and glycocalyx destruction is associated with organ failure and mortality. On the other hand, a chronic alteration of glycocalyx is observed in many diseases such as diabetes, hypertension or chronic kidney failure, all pathologies frequently observed in patients benefiting grom cardiac surgery. Thus the preoperative alteration of glycocalyx may be associated with postoperative organ failure.
This comparative diagnostic accuracy study will determine the accuracy of a noninvasive wearable infrasonic sensor to detect the mechanical, electrical, and hemodynamic function of the cardiovascular system.
The study aims to investigate if physical capacity obtained in the cardiopulmonary exercise test can predict cardiovascular alterations in Hodgkin Lymphoma (HL) Survivors. In addition, to study the effects of exercise training on physical capacity and cardiovascular responses in these patients.
The study aims at comparing, in a large cohort of consecutive clinically indicated left atrial appendage closure, clinical and imaging outcomes between different subpopulations.
Although the clinical efficacy of LDL-cholesterol lowering therapy has been proven with strong evidences and emphasized, there are also growing concerns that intensive lipid-lowering therapy would be related to increased risk of adverse effects. In addition, statin potency from recent guidelines was set from the studies composed of mainly Caucasian population, although there is an inconsistency of statin effect according to ethnicity. Asian population showed more profound LDL reduction not only from high potent statin but also from moderate to low potent statin. Conventional strategies for lowering LDL-cholesterol focused on statins, therefore doubling of previously described dose of statin would be common way in patients with inadequate LDL-cholesterol levels. Adding ezetimibe will be an alternative strategy not only to lower LDL-cholesterol level and also to reduce the need of dosage of high-intensity statin to achieve sufficient LDL-cholesterol lowering effect. However, studies regarding the effect of intensive-targeting of lipid-lowering therapy and therapy regimens are lacking. Thus, on these basis, we sought to evaluate whether intensive-targeting of lipid-lowering therapy will have more prominent beneficial effect compared to conventional-targeting in patients with documented ASCVD with either an ezetimibe/statin combination therapy or a statin monotherapy.
COVID-19 infection has been associated with numerous cardiac manifestations. Indeed, SARS-CoV-2 may impact on cardiovascular system through a direct myocardial infection or a secondary cardiac involvement due to hypoxia or metabolic supply-demand imbalance or prothrombotic inflammatory state. As a consequence of and besides acute myocardial damages, COVID-19 could also determine chronic cardiovascular consequences, with a significant impact on long-term prognosis, quality of life and functional capacity of COVID-19 survivors. On this basis, we aim to define the clinical and prognostic effects of myocardial involvement in COVID-19 patients.
This pre-post study will evaluate the implementation of a cardiovascular telehealth platform, which will connect experts from the Wake Forest University Health Sciences (WFUHS) tertiary care center with Wilkes County Emergency Medical Services (WC-EMS) system, Wilkes Medical Center Emergency Department (ED), and The Wilkes County Health Department Public Health Community Clinic (PHCC) to improve cardiovascular care in this rural community.
The CVP-COVID19 registry is both a retrospective and prospective study design in order to identify predictors of cardiovascular disease progression and mortality for COVID-19. The registry enrolls consecutive patients with positive microbiological tests for SARS-CoV-2 admitted to an academic hospital in northern Italy for worsening of COVID-19 symptoms. The study does not test any new diagnostic or therapeutic approach. Patients are treated according to good clinical practice. Patients characteristics, including medical history (with particular attention to cardiovascular and pneumological risk factors), features of physical examination, results laboratory and radiological tests and treatments (pre- and in-hospital) are related with patient outcome. Logistic analysis (univariate, multivariate and propensity) are performed in order to identify factors associated with disease progression. Primary endpoint: mortality.
Despite the progress made in the management of myocardial infarction (MI), the associated morbidity and mortality remains high. Numerous scientific data show that damage of the coronary microcirculation (CM) during a STEMI remains a problem because the techniques for measuring it are still imperfect. We have simple methods for estimating the damage to the MC during the initial coronary angiography, the best known being the calculation of the myocardial blush grade (MBG), but which is semi-quantitative and therefore not very precise, or more precise imaging techniques, such as cardiac MRI, which are performed 48 hours after the infarction and which make the development of early applicable therapeutics not very propitious. Finally, lately, the use of special coronary guides to measure a precise CM index remains non-optimal because it prolongs the procedure. However, the information is in the picture and this information could allow the development of therapeutic strategies adapted to the patient's CM. Indeed, the arrival of iodine in CM increases the density of the pixels of the image, this has been demonstrated by the implementation in 2009 of a software allowing the calculation of the MBG assisted by computer. But the performances of this software did not allow its wide diffusion. Today, the field of medical image analysis presents dazzling progress thanks to artificial intelligence (AI). Deep Learning, a sub-category of Machine Learning, is probably the most powerful form of AI for automated image analysis today. Made up of a network of artificial neurons, it allows, using a very large number of known examples, to extract the most relevant characteristics of the image to solve a given problem. Thus, it uses thousands of pieces of information, sometimes imperceptible to the naked eye. We hypothesize that a supervised Deep Learning algorithm trained with a set of relevant data, will be able to identify a patient with a pejorative prognosis, probably related to a microcirculatory impairment visible in the image.
Evaluation of the safety and efficacy of the reSept ASD Occluder to treat patients with clinically significant secundum atrial septal defect