View clinical trials related to Cardiovascular Diseases.
Filter by:One of the most common presentations to ED is chest pain, with the rapid rule out of heart attacks in the emergency department being common place. This moves a new onus of responsibility to the ED; the care of long term heart disease. A study conducted locally demonstrated that patient's with a heart attack ruled out felt the 'what next' question is not answered sufficiently at present. The strength of this opportunity is re-enforced by studies suggesting that chest pain presents a teachable moment where patients are more accepting of advice. The study's overarching goal is to improve heart disease care (cardiovascular disease).The early warning signs for heart disease can be detected and treated enabling patients to live longer and healthier lives. This is where it is believed that the Emergency Department (ED) can improve, EDs already collect the vast majority of data required to detect these early warning signs. In the United Kingdom more than 23.8 million attendances were registered last year, and ED is currently underusing a large amount of patient data of potentially great value to the population. The study aims to explore the best way to use this long term heart disease prediction; how to communicate it to patients, who prescribes the necessary medication, who issues lifestyle advice, and who follows it up. The investigators intend to answer these questions with a series of semi-structured interviews. The study will comprise of initial semistructured interviews made up of emergency medicine consultants, general practitioners, nurses, and patients. Then building on the knowledge gained from the initial interviews it is planned to build a prototype care pathway that will be explored in the second set of interviews. Funded by The Royal College of Emergency Medicine Ethical approval by the UK's HRA REC - 19/WA/0312
Patient education in lifestyle changes has a positive effect on health in individuals with cardiovascular (CV) risk. Despite current positive evidence about lifestyle and dietary change in the prevention of CVD, the recommendations are still not consistently and optimally applied to women. The aim of the study was to analyze the effect of an intervention in the form of Cochrane abstract letters on women between 45 to 65 years.
The aim of this study is to investigate the effects of partial replacement of red meat with legume-based foods on gut metabolism and markers for colorectal cancer as well as markers for cardiovascular diseases and type 2 diabetes in healthy working age men. The study participants will be stratified into two groups with different amounts of red meat in diet: 1) a diet containing 760 g of cooked and boneless red meat, supplying 25% of daily protein intake and 2) a diet supplying 20% of protein intake with legume-based foods and 5% of protein intake with red meat. The participants will get all meat and and legume-based foods from the research center; otherwise they will be asked to follow their habitual diet. Blood, urine, and stool samples will be collected at the baseline and at the end of the 6 week intervention, as well as BMI, blood pressure and body composition. Nutrient intake and food consumption will be analyzed from 4-day food records at the baseline and at the end of the intervention period.
Despite the progress made in the management of myocardial infarction (MI), the associated morbidity and mortality remains high. Numerous scientific data show that damage of the coronary microcirculation (CM) during a STEMI remains a problem because the techniques for measuring it are still imperfect. We have simple methods for estimating the damage to the MC during the initial coronary angiography, the best known being the calculation of the myocardial blush grade (MBG), but which is semi-quantitative and therefore not very precise, or more precise imaging techniques, such as cardiac MRI, which are performed 48 hours after the infarction and which make the development of early applicable therapeutics not very propitious. Finally, lately, the use of special coronary guides to measure a precise CM index remains non-optimal because it prolongs the procedure. However, the information is in the picture and this information could allow the development of therapeutic strategies adapted to the patient's CM. Indeed, the arrival of iodine in CM increases the density of the pixels of the image, this has been demonstrated by the implementation in 2009 of a software allowing the calculation of the MBG assisted by computer. But the performances of this software did not allow its wide diffusion. Today, the field of medical image analysis presents dazzling progress thanks to artificial intelligence (AI). Deep Learning, a sub-category of Machine Learning, is probably the most powerful form of AI for automated image analysis today. Made up of a network of artificial neurons, it allows, using a very large number of known examples, to extract the most relevant characteristics of the image to solve a given problem. Thus, it uses thousands of pieces of information, sometimes imperceptible to the naked eye. We hypothesize that a supervised Deep Learning algorithm trained with a set of relevant data, will be able to identify a patient with a pejorative prognosis, probably related to a microcirculatory impairment visible in the image.
This is a single-center observational study on adolescents to determine predictors of the early steps of the formation of atherosclerosis and to quantify their influence on Intima-Media-Thickness of the carotid artery and the aorta and on the Pulse-Wave Velocity. A long-term follow-up by means of record linkage is furthermore planned to evaluate the effect of early atherosclerosis and the cardiovascular risk profile on future morbidity with a special focus cardio- and cerebrovascular events.
This feasibility study is being conducted to investigate the practicalities and potential benefits of equipping patients with wearable monitoring devices.
EMMACE-XL will recruit participants who are survivors of acute coronary syndrome (a type of heart attack) to assess their health-related quality of life five years or more after their heart attack. We will invite surviving participants from the EMMACE 3 and 4 studies to consent to participate in EMMACE-XL study, they will be asked to complete one questionnaire relating to their health, medication and lifestyle. The questionnaire will be linked to their data collected as part of the EMMACE 3 and 4 studies including long term follow up data from NHS Digital. The data collected from all the studies will then be analysed to see if patient groups can be identified who are at risk of poorer quality of life and worse health outcomes. These groups can then be targeted with the aim of improving their health outcomes. The study will use statistical methods to look at the relationship of factors such as; medication adherence, comorbidities and patient demographics on health-related quality of life and health outcomes.
The FLORIDA (Fractional FLOw Reserve In cardiovascular DiseAses) study sought to investigate outcomes of FFR-guided versus angiography-guided treatment strategies in a large, real-world cohort.
Sternotomy pain is usually significant after cardiac surgery. Analgesic options for sternotomy in cardiac surgery are often limited. Poorly controlled acute pain is an important factor to development of chronic postsurgical pain. The transversus thoracis muscle plane (TTP) block is a novel technique that provides analgesia to anterior chest wall. A double-blinded RCT is conducted to assess the efficacy of applying TTP block as an adjunct to analgesia in cardiac surgery.
The EM-HEART study is a prospective, multi-centre stepped wedge cluster randomized trial to evaluate the effectiveness of a pragmatic early mobilization (EM) program to improve patient-centred and clinical outcomes in older adults with acute CV disease. There will be 256 participants ≥60 years old with acute CV disease enrolled at 6 participating Canadian hospitals. The study will investigate whether EM improves functional status during admission, as compared to usual care, and whether this leads to improved health-related quality of life post-hospitalization. Functional status will be measured with the validated Level of Function Mobility Scale. The primary outcome will be the Short-Form SF-36 physical component scale score at 1-month post-hospitalization. Secondary outcomes include functional status and hospital readmission at 1-month post-hospitalization.