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Heart Diseases clinical trials

View clinical trials related to Heart Diseases.

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NCT ID: NCT06326996 Not yet recruiting - Clinical trials for Coronary Heart Disease

Thiamine Intervention and Coronary Artery Bypass Grafting

B1&CABG
Start date: May 2024
Phase: N/A
Study type: Interventional

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.

NCT ID: NCT06326970 Not yet recruiting - Myocardial Fibrosis Clinical Trials

SPECT Fibroblast Activation Protein Imaging in Patients With Cardiac Disease

Start date: March 2024
Phase:
Study type: Observational

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.

NCT ID: NCT06325280 Not yet recruiting - Clinical trials for Congenital Heart Disease

Exercise MRI to Evaluate Cardiorespiratory Fitness in Children With Heart Disease

Start date: May 1, 2024
Phase:
Study type: Observational

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.

NCT ID: NCT06324903 Not yet recruiting - Echocardiography Clinical Trials

Role of Echocardiography in Optimization of Cardiac Catheterization in Children With Congenital Heart Disease

Start date: April 1, 2024
Phase:
Study type: Observational

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.

NCT ID: NCT06321900 Recruiting - Clinical trials for Cardiovascular Diseases

Personalized Risk Prediction of Sudden Cardiac Death

RESPECT
Start date: June 2, 2023
Phase:
Study type: Observational [Patient Registry]

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.

NCT ID: NCT06320782 Enrolling by invitation - Cardiac Disease Clinical Trials

Effects of Different Dietary Interventions on Abdominal Fat Components and Cardiometabolic Parameters.

Start date: August 23, 2021
Phase: N/A
Study type: Interventional

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.

NCT ID: NCT06315998 Not yet recruiting - Clinical trials for Structural Heart Abnormality

Diagnosis of Structural Heart Disease Using MCG

Start date: March 18, 2024
Phase:
Study type: Observational

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.

NCT ID: NCT06307262 Recruiting - Heart Failure Clinical Trials

European Registry of Transcatheter Repair for Tricuspid Regurgitation

EuroTR
Start date: October 23, 2023
Phase:
Study type: Observational [Patient Registry]

To investigate clinical and survival outcomes following transcatheter tricuspid valve repair or replacement.

NCT ID: NCT06306729 Not yet recruiting - Valve Heart Disease Clinical Trials

Computational Assessment of Bioprosthetic Aortic Valve Function

Start date: April 1, 2024
Phase:
Study type: Observational

Bioprosthetic valves are usually made of biological tissue that are mounted to a frame and are designed to function similarly to a healthy natural valve. Edwards Magna Ease and Intuity Elite bioprosthetic valves have similar leaflets and mounting designs. However, the valves are implanted in the patient in different ways (one is stitched to the wall of the left ventricular outflow tract, and the other is held in place by the radial force of the valve skirt). The study aims to understand in more detail how the different valves interact with the left ventricular outflow tract and aortic root.

NCT ID: NCT06304233 Recruiting - Schizophrenia Clinical Trials

The Protein Disrupted in Schizophrenia 1 (DISC1) as a Novel Biomarker for Cardiac Disease

Start date: December 13, 2023
Phase:
Study type: Observational

To study the association between DISC1 RNA expression levels and cardiac function in patients with schizophrenia.