View clinical trials related to Heart Defects, Congenital.
Filter by:Congenital heart disease (CHD) is the most common congenital disease in children. The early detection, diagnosis and treatment of CHD in children is of great significance to improve the prognosis and reduce the mortality of children, but the current screening methods have limitations. Electrocardiogram (ECG), as an economical and rapid means of heart disease detection, has a very important value in the auxiliary diagnosis of CHD.Big data and deep learning technologies in artificial intelligence (AI) have shown great potential in the medical field. The advent of the big data era provides rich data resources for the in-depth study of CHD ECG signals in children. The development of deep learning technology, especially the breakthrough in the field of image recognition, provides a strong technical support for the intelligent analysis of electrocardiogram. The particularity of children electrocardiogram requires the development of a special algorithm model. At present, the research on the application of deep learning models to identify children's electrocardiograms is limited, and the training and verification from large data sets are lacking. Based on the Chinese Congenital Heart Disease Collaborative Research Network, this project aims to integrate data and deep learning technology to develop a set of intelligent electrocardiogram assisted diagnosis system (CHD-ECG AI system) suitable for children with CHD, so as to improve the early detection rate of CHD and improve the efficiency of congenital heart disease screening.
The Investigators will create a clinical database and a Biobank of stem cells derived from the blood of participants with cardiovascular disease. The Investigators will recruit participants from diverse racial and ethnic backgrounds with equal representation from both sexes. The Investigators expect to create stem cells and analyze the blood for protein biomarkers and genetic causes of cardiovascular disease. The stem cell biobank and clinical data will be a powerful tool for studying cardiovascular disease.
Currently, research on the effect of thiamine administration during transcatheter closure on the structure and function of the left ventricle by examining levels of matrix metalloproteinase-9 and tissue inhibitor of metalloproteinase-1 in children with left to right shunt congenital heart disease has never been carried out in Indonesia, so it is necessary carried out this research. This research was carried out by administering 100 mg of thiamine once per day to patients post transcatheter closure for 28 days. The parameters assessed were MMP-9, TIMP-1, and echocardiography to assess the structure and function of the left ventricle in CHD patients with left to right shunt lesions.
The prevalence of iron deficiency in pediatric cardiac surgery patients is not very well known. Iron deficiency can lead to anemia, higher transfusion rates and possibly higher complication rates. In this retrospective study, the iron status of all patients undergoing pediatric cardiac surgery at our institution between January 2019 and december 2023 will be analyzed. Together with iron status, transfusion requirements as well as complications will be recorded. Iron status will be reported with descriptive statistics, patients with or without iron deficiency will be compared using non-parametric tests.
Interventional Trial to determine the Effect of different PEEP levels on Cardiac output and right-ventricular function in mechanically ventilated children < 5 years of age with congenital heart disease.
The goal of the clinical study is to clarify the course of common congenital, infectious, and non-infectious diseases in children living in Uzbekistan, and to develop methods for their treatment and rehabilitation. The main questions it aims to answer: - Analysis of common congenital diseases among children; - Analysis of commonly diagnosed bronchopulmonary and cardiovascular diseases among children; - Based on the results of the primary research, common diseases among children will be identified; - Analysis of existing treatment methods and their effectiveness; - Development of modern methods of treatment and rehabilitation of children.
This study is enrolling pregnant persons treated at Rady Children's Hospital fetal cardiology program with a prenatal diagnosis of congenital heart disease to look for genetic disorders in the fetus or unborn baby. Congenital heart disease (CHD) is a group of structural differences to the heart that represent the most common birth defect among liveborn infants world-wide. CHD is the leading cause of birth-defect associated infant death. Prenatal detection allows for delivery planning, postnatal repair, specialized medications, and detailed counseling for parents. Up to one in three fetuses with CHD may have a genetic cause. In babies, knowing about genetic diseases helps patients and doctors provide the best care for their babies. If identified prenatally, this same knowledge may help participants prepare for their location of delivery, meet with specialists, and consider specialized treatments and medications that may be appropriate. The diagnostic yield and clinical utility of whole genome sequencing (WGS) in fetuses with prenatally detected congenital heart disease (CHD) will be compared to routine clinical testing in patients choosing amniocentesis or chorionic villus sampling. DNA will be obtained from fetal samples and biological parent blood samples and analyzed according to standard clinical interpretation guidelines. Results will be reported to healthcare providers and patients and measures of clinical utility will be collected. Additionally, measures of stress, anxiety, depression, and perceived utility of information will be assessed by validated survey tools. A historical cohort of patients electing for diagnostic procedures will be used as a comparison population.
Congenital heart disease (CHD) is a leading cause of pulmonary arterial hypertension (PAH) worldwide. Treatment for PAH associated with CHD (PAH-CHD) depends on the defect's type, size, and hemodynamic impact. For those with CHD correction indications, early defect repair or interventional closure is crucial to prevent irreversible pulmonary vascular remodeling due to prolonged exposure to a left-to-right shunt. Current guidelines recommend triple-combination therapy, including phosphodiesterase 5 inhibitors, endothelin receptor antagonist, and parenteral prostacyclin, for patients with intermediate-high or high risk. Recent studies suggest that patients with PAH-CHD and borderline hemodynamics might regain eligibility for surgery after targeted vasodilatory treatment. Consequently, early initiation of triple-combination therapy may be critical for severe PAH-CHD patients to restore their surgical or interventional closure eligibility. Therefore, we conducted this prospective study to assess the effectiveness of triple-combination therapy in severe PAH-CHD cases.
Infants with congenital heart disease (CHD) are at increased risk for delayed neurodevelopment. Multiple etiological explanations have been proposed, as there seems to be a multifactorial interplay of both prenatal and perioperative factors. The main goal of this research project is to focus on peri-operative physiological risk factors in infants with CHD which impair functional brain maturation or elicit brain injury, and subsequently creating a risk model and guidelines for standardized developmental follow-up in this population. PART 1: investigation of cerebral autoregulation and neurovascular coupling The homeostasis in cerebral blood supply regardless of perfusion pressure, is called Cerebral autoregulation (CAR). Neurovascular coupling (NVC) is the phenomenon in which blood supply increases as a result of increased brain activity in a specific area. At different times in the perioperative phase, these regulatory mechanisms will be estimated based on Electroencephalography (EEG) and Near Infrared Spectroscopy (NIRS), in addition to hemodynamic parameters. PART 2: cell-free DNA (cfDNA) extraction. Non-invasive monitoring of neuronal degeneration can be performed using cfDNA extraction techniques. Serial measurements of neuronal cfDNA will be used to determine whether and when this neuronal damage has occurred. PART 3: Prognosis and outcome. These risk factors, supplemented with demographic factors and medications administered, will be combined in an Artificial Intelligence-driven model, thus establishing a risk model for neurodevelopmental outcome. This model will be compared to the current standard-of-care, both structural imaging (ultrasound and MRI) and a clinical developmental assessment at 9 and 24 months of age (Bayley Scales of Infant Development-III).
Prospectively measure impedance during cardiac catheterization to build a cardiac output algorithm.