Active clinical trials for "Heart Defects, Congenital"

Congenital heart disease (CHD) is the most common type of birth defect but the cause for the majority of cardiac birth defects remains unknown. Numerous epidemiologic studies have demonstrated evidence that genetic factors likely play a contributory, if not causative, role in CHD. While numerous genes have been identified by us and other investigators using traditional genetic approaches, these genes only account for a minority of the non-syndromic CHDs. Therefore, we are now utilizing whole genome sequencing (WGS), with the addition of more traditional genetic techniques such as chromosomal microarray or traditional linkage analysis, to identify genetic causes of familial and isolated CHD. With WGS we are able to sequence all of the genetic material of an individual and apply different data analysis techniques based on whether we are analyzing a multiplex family or a cohort of trios (mother, father and child with CHD) with a specific isolated CHD. Therefore, WGS is a robust method for identification of novel genetic causes of CHD which will have important diagnostic and therapeutic consequences for these children.

The purpose of this initiative is to improve care and outcomes for infants with HLHS by expanding the NPC-QIC national registry to gather clinical care process, outcome, and developmental data on infants with HLHS between diagnosis and 12 months of age, by improving the use of standards into everyday practice across pediatric cardiology centers, and by engaging parents as partners in the process.

Advances in surgical and medical care have led to improved outcomes in patients with congenital heart disease (CHD). As a consequence, the majority of patients nowadays survives to adulthood (adults with CHD, that is, adult CHD [ACHD]) with good quality of life. Despite the surgical success, the morbidity and mortality of ACHD is higher than in the general population and is linked to the development of heart failure (HF) in adulthood. HF occurs in approximately 25% of patients with ACHD, even in those patients in whom the congenital mal-formation has been corrected successfully in childhood. The time course and presentation are heterogeneous owing to variable congenital malformation and limitation of treatment options. ACHD with an anatomic right ventricle as the systemic ventricle (e.g., atrial switch operation in patients with transposition of the great arteries [TGAs]) and those with a functional single ventricle (e.g., Fontan circulation) appear to be at higher risk of developing HF. Young age at initial corrective surgery-often in the first 2 years of life-and lack of specific medical therapies can contribute to a high and early demand for heart transplantation in patients with ACHD.

The incidence of moderate to severe congenital heart disease (CHD) in the United States is estimated to be 6 per 1000 live-born full term infants. Recent advances in pediatric cardiology, surgery and critical care have significantly improved the survival rates of patients with CHD leading to an increase in prevalence in both children and adults. Children with CHD significant enough to require cardiac surgery frequently also undergo non-cardiac surgical procedures. Analysis of the Pediatric Health Information System database between 2004 and 2012 demonstrated that 41% of children who had undergone surgery to correct CHD in the first year of life also underwent at least one non-cardiac surgery by age 5. With this increased demand for non-cardiac procedures, anesthesiologists, pediatricians and other healthcare providers will encounter patients with repaired or unrepaired CHD and other cardiac diseases in their practice. However, the information provided by national databases lack granularity and the information from single institutional data is limited. This project aims to address this knowledge gap in quantifying the risk for cardiac patients coming for noncardiac procedures and identify the health care resource utilization and system to best care for this patient population. To conduct this study, we will create a multi-institutional collaboration between large and small centers to create a unique dataset spanning all the different variables that need to be considered in risk prediction for these patients including patient variables, hospital setting, and providers. The aggregate multiinstitutional data set may be used for benchmarking for national quality improvement efforts.

The aim of the present study will be to evaluate whether fetal cardiac remodeling is already present at the moment of the diagnosis of gestational diabetes (GD) in comparison with fetuses of healthy pregnant women.

The aim of the Mind the Heart study is to document the feasibility of an online parent/child administered screening model for mental disorders (MDs) in Danish children and adolescents with congenital heart disease (CHD). As MDs in children and adolescents with chronic somatic health issues are frequently underdiagnosed and undertreated, we further aim to develop a website with evidence based information on mental health in children and adolescents with CHD in order to promote knowledge and awareness among families and health professionals across sectors.

This research study is being done to provide comparative data to the Mayo Clinic Adult Congenital Heart Disease Registry.

This study is a multicenter cohort study including patients diagnosed with aortic valve disease during hospitalization, including aortic insufficiency and aortic valve stenosis. The primary outcome of the study was all-cause death, and the secondary outcome was cardiovascular events. Through follow-up observation, the prognostic risk factors of patients with aortic disease were evaluated, and a prognostic model was constructed to guide clinical decision-making.

The goal of this study is to obtain specimens and data from individuals and their families with heterotaxy and related congenital heart defects in order to clarify the molecular genetics of this disorder. The knowledge gained from the analysis of this information will provide the basis for future genetic counseling as well as contribute to knowledge about the biology of normal and abnormal development of left-right anatomic asymmetry.

Introduction and Objective: In recent years, 3D (three-dimensional) modeling has been added to traditional and effective diagnostic methods such as Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and Echocardiography. The purpose of this study is to determine the effectiveness of models created from patients' own radiological images using 3D printing technology in the clinical setting to simulate surgery in the preoperative period and provide preoperative parental education to improve family quality of life and positively influence patient outcomes. Methods: The study is a two-group pretest-posttest randomized controlled study. The children who come to the outpatient clinic examination in a private hospital and who are subjected to Computed Tomography (CT) examination for diagnostic procedures will be modeled in the experimental group, pre-tests will be applied, and the model will be 3D printed after it is approved by the radiologist who is among the researchers. The sample size is 15 experimental group and 15 control group. After the radiologist's approval, surgical simulation and preoperative education will be applied to the experimental group. The control group will receive the same parent education as the standard model. Both groups will complete the Sociodemographic Information Form, Surgical Simulation Evaluation Form - Part I, and Pediatric Quality of Life Inventory (PedsQL) Family Impacts Module one week prior to hospitalization. Surgical simulation and preoperative education will be completed on the same day. On postoperative day 0, only the Surgical Simulation Evaluation Form - Part II will be applied and on postoperative day 15, the Surgical Simulation Evaluation Form - Part II and the Pediatric Quality of Life Inventory (PedsQL) Family Impacts Module will be applied to both groups as a posttest. Pilot Study and Results: Modeling and 3D printing studies were conducted to carry out the study. A total of four diagnosed and treated patients were retrospectively analyzed. An intracardiac anomaly was detected in the patient data taken for the first model. It was decided to model the extracardiac structures since the inside of the heart was filled with blood, and the blood could not be ruled out as a solid structure. Finally, aortic coarctation was modeled clearly from the images taken and completed.