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109 active trials for Heart Diseases

MyGeneRank: A Digital Platform for Next-Generation Genetic Studies

Many conditions affecting health are caused by a combination of environment, behaviors, and genes. While individuals can alter some factors in their lives to reduce the chances of developing different diseases (e.g., not smoking cigarettes), the contribution from genetic risk encoded by DNA remains with people throughout their lives. Scientists are still trying to determine the entirety of genetic factors that influence disease, but for some conditions it has been shown that the factors identified thus far can begin to identify people at high to low genetic risk. Looking across the genome, scientists can calculate a cumulative genetic risk score - which can be used to rank genetic risk compared to other worldwide populations. The goal of this study is to determine how genetic risk influences health decisions and other things that can be controlled in life. The first genetic risk score is calculated for coronary heart disease (CAD). CAD ultimately leads to heart attacks, heart failure and sometimes sudden cardiac death and is the main reason heart disease remains as the number one cause of death worldwide. Other researchers have shown that this genetic risk score can be used to identify people with low, intermediate, and high risk for coronary heart disease. It has also been shown that the use of statins (cholesterol lowering drugs) provides greater benefit and protection against heart attack for people with high genetic risk for coronary artery disease. Leveraging the Apple ResearchKit and the ResearchKit linked 23andMe API, customers of 23andMe are able to provide researchers access to their genomic data. Participants will use the ResearchKit app to provide consent, view study information, answer surveys, and contact the study team. Participants will be asked to complete 3 surveys. One before viewing genetic risk scores, one immediately after viewing scores, and one 6 months after viewing scores.

Start: September 2017
PREDICT 2: Personalized Responses to Dietary Composition Trial 2

Foods in the human diet can affect the development of diseases over time, such as diabetes or heart disease. This is because the amount and types of foods in the diet eat can affect a person's weight, and because different foods are metabolised (processed) by the body in different ways. Scientists have also found that the bacteria in the human gut (the gut microbiome) affect their metabolism, weight and health and that, together with a person's diet and metabolism, could be used to predict appetite and how meals affect the levels of sugar (glucose) and fats (lipids) found in blood after eating. If blood sugar and fat are too high too often for too long, there is a greater chance of developing diseases such as diabetes and cardiovascular disease. The gut microbiome is different in different people. Only 10-20% of the types of bacteria found in the human gut are found in everyone. This might mean that the best diet to prevent disease needs matching to a person's gut microbiome and it might be possible to find personalised foods or diets that will help reduce the chance of developing chronic disease as well as metabolic syndrome. The study investigators are recruiting volunteers aged 18-70 years to take part in a study that aims to answer the questions above. Participants will be asked to consume standardised meals on up to 8 days while wearing glucose monitors (Abbott Freestyle Libre) to measure their blood sugar levels. Participants will also be required to prick their fingers at regular intervals to collect small amounts of blood, and to record their appetite, food, physical activity and sleep using apps and wearable devices. They will be asked to collect a fecal and saliva sample before consuming the standardised meals, and to provide a fasted blood sample at the end of the study period.

Start: June 2019
Congenital Heart Anomaly Risk in Maternal Enteroviral Infection and Diabetes

Beyond EV-B, there are clinical observations to implicate other viruses in birth defects, including CHD. Since the Rubella epidemic of 1960s', however, viruses have received little attention and certainly no comprehensive study, especially using next generation sequencing (NGS), has been undertaken in this context. The current pandemic as well as those caused by Zika, influenza, Ebola and Lassa Fever (among many) have shown pregnant women and their baby are at high risk. Therefore, an open-minded approach is warranted when considering the role of maternal viral infections in CHD. Even less is known about maternal immune response, such as antibody production, to these viruses. The investigator's goal is to answer the above gaps in knowledge. The investigators propose to do that using two different approaches; one retrospective (analysis of samples in two existing, large biorepositories) and the other prospective. The investigator's have created a multi-disciplinary team to bring together the needed expertise from individuals who have overlapping and vested interest in this project. The investigator's specific aim is to examine the diversity of the gut virome in non-pregnant and pregnant women with and without diabetes, with special emphasis on known cardiotropic viruses (those with tropism for cardiac tissues). This study is seen by the investigator's as the first step prior to a larger prospective multi-institutional study to specifically assess the linkage between the maternal virome and CHD pathogenesis.

Start: February 2021
Personalised Responses to Dietary Composition Trial

The foods we eat - our diet - can affect whether we develop diseases during our lives, such as diabetes or heart disease. This is because the amount and types of foods we eat can affect our weight, and because different foods are metabolised (processed) by the body in different ways. Scientists have also found that the bacteria in our guts (the gut microbiome) affects our metabolism, weight and health and that, together with a person's diet and metabolism, could be used to predict appetite and how meals affect levels of sugar (glucose) and fats (lipids) found in blood after eating. If blood sugar and fat are too high too often, there's a greater chance of developing diseases such as diabetes. The gut microbiome is different in different people. Only 10-20% of the types of bacteria found in our guts are found in everyone. This might mean that the best diet to prevent disease needs matching to a person's gut microbiome and it might be possible to find personalised foods or diets that will help reduce the chance of developing chronic disease as well as metabolic syndrome. The study investigators are recruiting volunteers aged 18 years or over from the TwinsUK cohort to take part in a study that aims to answer the questions above. The participants will need to come in for a clinical visit where they will give blood, stool, saliva and urine samples. The participants will also be given a standardised breakfast and lunch and fitted with a glucose monitor (Abbott Freestyle Libre-CE marked) to monitor their blood sugar levels. After the visit, the participants will be asked to eat standardised meals at home for breakfast for a further 12 days. Participants will also be required to prick their fingers at regular intervals to collect small amounts of blood, and to record constantly their appetite, food, physical activity and sleep using apps and wearable devices.

Start: June 2018
The Impact of Covid-19 on Cardiac Rehabilitation Participants and Staff

What are the experiences of staff and participants in phase 3 cardiac rehabilitation during the Covid-19 pandemic, and what impacts have adapted delivery had on participants' physical activity levels, mental health and well-being? Cardiac rehabilitation (CR) is a vital service for individuals diagnosed and treated for cardiovascular disease (e.g., heart attack, angina, valve disease). The service helps to improve recovery rates through supporting patients with beneficial lifestyle changes (e.g., physical activity, healthy eating), and coping with emotional distress following a traumatic cardiac event. The environment in which CR is being delivered has changed in response to the Covid-19 pandemic, including remote working practices, and in some instances postponing of rehabilitation. Despite the public health rationale for such measures, it is essential to consider the impact of adapted services on patient's mental health and physical activity participation, and to consider staff experiences in using remote working regimes. The current study aims to recruit staff and patients from phase 3 cardiac rehabilitation across Hampshire Hospitals Foundation Trust to explore their experiences of adapted services through a mixed methods study design. Staff and patients will be interviewed over the phone to explore experiences and impacts of Covid-19 with their rich in-depth viewpoints and stories. In addition, during an 8 week period of rehabilitation, patients will be asked to report and record their physical activity levels with diaries and accelerometers (a wrist worn device measuring movement), record their resting blood pressure and heart rate, and complete questionnaires to assess changes in mental health. This study could help to understand the impact of the pandemic on cardiac patients recovery and on staff's experiences implementing programme changes to assist in preparing for the future of CR post COVID 19.

Start: February 2021