View clinical trials related to Heart Diseases.
Filter by:Reiki is an energy-based healing therapy using light touch. Manual therapy is a technique using light effleurage. These complimentary healing services are utilized to promote relaxation, sleep, improve emotions, and decrease pain; however, more research is required since sample sizes in the literature were small, subjects were generally healthy (not hospitalized), and subjects had multiple medical backgrounds. Only 1 study focused on cardiac surgery patients. We aim to learn if Reiki and manual therapy enhances postoperative clinical outcomes for patients after first time coronary artery bypass graft (CABG) and/or cardiac valve surgery. A randomized, controlled non-blinded study will enroll a sample of a minimum of 272 patient (136 per group), based on a power analysis using the primary outcome. The intervention group will receive usual care plus Reiki and manual therapy, with Reiki delivered first. Total therapies time is 20 minutes. Reiki and manual therapy will be delivered for 3 consecutive days beginning on the day after endotracheal tube removal. The usual care group will receive 20 minutes of uninterrupted rest, which is part of usual postoperative care. Outcomes are depression, anxiety, pain, night time sleep, new onset atrial fibrillation, hospital length of stay, all-cause 30-day hospital readmissions, narcotic drug burden and post-operative complications.
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.
Moderate sedation is used in the catheterization laboratory relieve the anxiety and discomfort associated with access and other aspects of the procedure. Whether being in a fasting state (nothing per os, NPO) at the time of the procedure is beneficial or harmful is not well known, but patients are typically required to be fasting at the time of elective procedures, guidance derived from procedures that require general anesthesia. Whereas the typical thinking was that fasting prior to procedures would minimize the risk of aspiration in the event of intubation, or nausea and other symptoms generally, several studies have shown that prolonged fasting prior to procedures is associated with increased nausea, vomiting, aspiration and procedure recovery time. We aim to evaluate patient satisfaction, nausea and immediate outcomes of patients who are not kept NPO prior to cardiac catheterization.
This research study is being done to provide comparative data to the Mayo Clinic Adult Congenital Heart Disease Registry.
The purpose of this study is to elucidate the imaging mechanisms of cognitive function changes in patients with coronary heart disease before and after surgery or conservative treatment, and to evaluate and predict the postoperative neurological function recovery and cerebrovascular health level of patients by combining serum markers and patient cardiovascular health evaluation indicators.
Stress is highly prevalent in patients with ischemic heart disease (IHD) and is associated with lower health-related quality of life and worsened cardiovascular outcome. The importance of stress management is now recognized in recent cardiovascular guidelines. However, effective stress management intervention are not implemented in clinical routine yet. The development of easily disseminated eHealth interventions, particularly mHealth, may offer a cost-effective and scalable solution to this problem. The aim of the proposed trial is to assess the efficiency and cost-effectiveness of the mHealth intervention 'mindfulHeart' in terms of reducing stress in patients with IHD.
The purpose of this study is to evaluate the effectiveness of the use of artificial intelligence in home monitoring in patients with uncontrolled arterial hypertension.
The purpose of the study is to compare the effect of consuming full-fat (regular) and fat-free (skim) milk, as well as full-fat and fat-free yogurt (a fermented dairy product), on microorganisms in your gut as well as the products produced by the gut microbes. We will also determine whether consuming these dairy products affects risk factors for heart disease.The findings of the study will help us determine if heart disease risk factors are modified by the fat content and fermentation of milk. The results may facilitate refinement of public health dietary guidance for cardiovascular disease risk reduction.
Copenhagen Baby Heart Study - Impact (CBHS-I) is an extension to Copenhagen Baby Heart (CBH) which included over 25.000 new-borns in the Copenhagen area between 2016-2018. Based on clinical and subclinical deviations in the examinations in CBH, subgroups of participants will be invited to clinical examinations (echocardiography and electrocardiogram) in early childhood. There will also be a new, targeted inclusion based on certain exposures during pregnancy. The main objectives are to assess the prevalence of congenital and inherited heart disease and, and the development of these during early childhood; examining the association between pre- and postnatal exposure, disease, lifestyle, environmental and genetic factors; continue to establish reference values for echocardiography in Danish neonates and children.
Atrial fibrillation (AF) is a major public health issue: it is increasingly common, incurs substantial healthcare expenditure, and is associated with a range of adverse outcomes. There is rationale for the early diagnosis of AF, before the first complication occurs. Previous AF screening research is limited by low yields of new cases and strokes prevented in the screened populations. For AF screening to be clinically and cost-effective, the efficiency of identification of newly diagnosed AF needs to be improved and the intervention offered may have to extend beyond oral anticoagulation for stroke prophylaxis. Previous prediction models for incident AF have been limited by their data sources and methodologies. An accurate model that utilises existing routinely-collected data is needed to inform clinicians of patient-level risk of AF, inform national screening policy and highlight opportunities to improve patient outcomes from AF screening beyond that of only stroke prevention. The investigators will use routinely-collected hospital-linked primary care data to develop and validate a model for prediction of incident AF within a short prediction horizon, incorporating both a machine learning and traditional regression method. They will also investigate how atrial fibrillation risk is associated with other diseases and death. Using only clinical factors readily accessible in the community, the investigators will provide a method for the identification of individuals in the community who are at risk of AF, thus accelerating research assessing whether atrial fibrillation screening is clinically effective when targeted to high-risk individuals.