View clinical trials related to Heart Diseases.
Filter by:Heart failure (HF) is a global, public health issue that affects more than 63 million people worldwide; this burden is expected to increase substantially as the population ages. Despite advancements in treatment, a HF diagnosis still leads to significant morbidity and mortality; there is also an immense impact on patients' health-related quality of life (HRQoL). Dapagliflozin was recently granted approval for heart failure by the European Commission, regardless of ejection fraction and whether the patient has diabetes. Real-world observational data are necessary to describe dapagliflozin use in real-world settings in order to assess treatment patterns, HF symptoms and their impact on physical limitation, HRQoL and work productivity, as well as health care utilization of patients treated with dapagliflozin in this setting under local treatment standard conditions in Germany.
This study evaluated and compared the prognostic value of different Baseline data and clinical variables to develop a risk ractor ediction model in patients with CHD.
This prospective, randomized controlled study is aimed to figure out suitable transfusion threshold in patients undergoing cardiac valve surgery under cardiopulmonary bypass(CPB). Patients are randomly assigned to restrictive and liberal transfusion group and receive blood transfusion during and after surgery. Compare primary and secondary outcomes of two groups.
The purpose of this study is to gain a better understanding of the association between brain changes and cognitive deficits in coronary heart disease (CHD) patients undergoing coronary artery bypass grafting (CABG) and whether a low-cost thiamine intervention can be used to reduce post-CABG cognitive issues in CHD subjects.
This observational study aims to learn about the preliminary exploration of 99mTc-FAPI imaging in heart diseases and its potential application. Participant involves patients with myocarditis, pulmonary hypertension, arrhythmia, myocardial infarction, dilated cardiomyopathy, and cardiac tumors, health conditions may also studied as control. The main questions it aims to answer are 1, radionuclide 99mTc labeled fibroblast-activated protein inhibitors (99mTc-FAPI) imaging in the use of cardiac diseases and its limitations. 2, the performance in subjects with different control of hypertension to evaluate myocardial injury and fibrosis for providing a molecular biological basis for the study of diseases and mechanisms. Participants will undergo 99mTc-FAPI imaging by Single-photon emission computed tomography (SPECT) and record their cardiac disease characterization and treatment.
There are many barriers to heart-healthy lifestyles in pediatric patients with acquired and congenital heart disease. Investigators want to further understand how participants heart and skeletal muscles work together during exercise and evaluate the impact on cardiac function. To do this, the investigators will use magnetic resonance imaging (MRI) to scan the heart and skeletal muscles during exercises to assess blood flow, oxygenation and function.
Delineate and evaluate the role of echocardiography in children with congenital heart disease undergoing cardiac catheterization in the pediatric cardiology unit of Assiut university hospitals. 1. To improve diagnostic accuracy by creating a systematic approach for image acquisition and interpretation across different procedural timepoints. 2. To promote consistent hemodynamic evaluations to reliably assess cardiac function and blood flow. 3. To enable optimized procedural planning and intraprocedural guidance via comprehensive delineation of anatomy and pathophysiology. 4. To facilitate standardized longitudinal monitoring after interventions to evaluate outcomes and detect complications.
Sudden cardiac death (SCD) is the final result of cardiac arrest (CA) , defined as an abrupt and unexpected loss of cardiovascular function resulting in circulatory collapse and death. Up to 50% of cardiac deaths in Europe are due to CA. The estimated mortality of CA is approximately 90%, and significant functional and/or cognitive disabilities often persist among those who survive. The advent of the implantable cardioverter-defibrillator (ICD) has revolutionized the prevention of SCD in high-risk patients with reduced left ventricular ejection fraction (LVEF<35%). However, the algorithm recommended by current guidelines based on LVEF, considered the only parameter to identify high-risk patients, cannot stratify the population and the spectrum of risk with high accuracy. Although the risk of CA is higher among patients with LVEF<35% and NYHA class>1, because of the enormity of the population size at risk (i.e., with organic heart disease and LVEF>35%), most SCD does occur in patients with LVEF>35%. Additionally, the majority of pts who receive the ICD for primary prevention of SCD will not benefit from the device (in the Sudden Cardiac Death in Heart Failure Trial published in 2005, the rate of appropriate ICD therapy was 21% at five years), and/or will experience some side effects of it. In the Israeli registry of patients who underwent ICD (n= 1729) or cardiac resynchronization therapy (n= 1326), the 12-year cumulative incidence of adverse events was 20% for inappropriate shock, 6% for device-related infection, and 17% for lead failure. Moreover, recent improvements in drug treatment for HF and myocardial revascularization have further reduced the incidence of SCD in pts with low LVEF. Finally, pts with advanced HF are unlikely to benefit from ICD therapy because of the high rates of non-arrhythmic deaths. Therefore, improved risk stratification approaches to guide the selection of pts for ICD implantation are needed, and only a multiparametric approach may aim to personalize the risk prediction of SCD across the broad spectrum of the phenotypes of HF patients. The RESPECT project has been designed to personalize the risk of SCD by integrating and interpreting information highly multidisciplinary: clinical and bio-humoral, genetics and electrocardiography, conventional and advanced cardiac imaging, and data science. The investigators hypothesized that machine learning models capable of dealing with non-linearities and complex interactions among predictors, including genetic, clinical, electrocardiographic, bio-humoral, echocardiographic, cardiac magnetic resonance (CMR), and nuclear cardiology data, would have superior accuracy in predicting the occurrence of SCD compared with the currently recommended metrics of NYHA class and LVEF by two-dimensional echocardiography and that the personalized risk prediction of SCD will translate in more cost-effective use of ICDs. In addition, the investigators will use the multiparametric predictive models to develop a cloud-computing app that will allow clinicians to predict the risk of occurrence of SCD based on specific covariate profiles of individual patients.
The study aims to evaluate the impact of different dietary interventions on abdominal fat components and cardiometabolic parameters. This is a randomized clinical trial study conducted in overweight adults, selected by voluntary adherence, in an outpatient clinic of a cardiology hospital. The sample was calculated based on data from a study with the Brazilian population, with the sample size calculated as a function of a mean difference (d) in visceral adipose tissue (VAT) after the interventions, standard deviation (s) and a significance level of 5% (z). To correct eventual losses, the number was increased by 20%. Four dietary interventions will be applied in the 6-month period: group with calorie restriction and balanced distribution of macronutrients (group 1); group with calorie restriction and low-carbohydrate diet (group 2); group with calorie restriction and low-fat diet (group 3) and group with collective nutritional guidance (group 4). Patients will be followed up monthly to assess weight loss, analyze adherence to the diet therapy plan, reinforce nutritional guidelines and monitor anthropometric measurements and abdominal adipose tissue. The evaluation of VAT and subcutaneous adipose tissue (SAT) by ultrasonography will be performed at baseline and after 6 months of intervention. The present study is expected to clarify the effects that different dietary interventions produce over 6 months on abdominal fat deposits and cardiometabolic parameters.
The purpose of this prospective cohort study is to determine the parameters of cardiac magnetic imaging to identify structural heart disease using use transthoracic echocardiography or cardiac magnetic resonance as reference standard.