View clinical trials related to Cardiovascular Diseases.
Filter by:The purpose of this survey is to collect information for scientific research and to better understand the role of systemic inflammation in identification, treatment and management of patients with Atherosclerotic Cardiovascular Disease (ASCVD) and Chronic Kidney Disease (CKD)
Because of the growing population of older people, cardio-cerebrovascular diseases has been the most important aging-related chronic disease, studying the pathogenesis and early warning mechanisms of cardio-cerebrovascular diseases in depth, exploring optimal strategies for early diagnosis and treatments of cardio-cerebrovascular diseases has becoming the urgent public health problem in China. Aging causes cellular changes that change the sleep status in older adults, leading to an increased risk of disease and death. Meanwhile, the rising prevalence of chronic diseases among older adults also increases the impact of sleep deprivation. Insufficient sleep has being a serious challenge to the health status of the elderly. However, there is no clinically significant treatment for sleep disorders caused by chronic diseases. Medication helps to sleep but will also lead to drug dependence and increasing the risk of recurrent sleep disorders, which is unfavorable for disease control. Studies have shown that older adults who sleep 7-8 hours at night have better physical and mental health, cognition and quality of life. Shorter sleep durations (6 hours or less) and longer sleep durations (greater than 9 hours) had strong associations with adverse health outcomes such as cardiovascular, metabolic, immune, cognitive diseases, other psychiatric disorders, and mortality. Therefore, on the basis of the established Pudong community cohort, the project applicant led the team to adopt an open-label, blind endpoint, and cluster-randomized two-phase trial method to randomly assign cohort members into intervention group and control group. According to the sleep health intervention plan formulated by the clinical team, family doctor provides health education materials according to the actual situation of the intervention group regularly. Family doctors in the control group used conventional management methods. The final assessment was that compared to control group, whether the intervention group improved members' sleep quality, reduced members' cardiovascular disease events, and individual cardiovascular disease morbidity and all-cause mortality during the study period.
The project aims to fill in the existing gaps in the study of the microbiome as a cardiometabolic driver 1) by determining the key demographic, environmental, genetic, dietary, and metabolic correlates of long-term within-individual microbiome and microbial metabolite changes; and 2) by assessing how the gut microbiome, microbial metabolites, and their long-term changes are prospectively related to the risk factors, surrogate markers, and overt outcomes of CMD. To achieve this goal, repeat stool samples will be collected of ~2300 Finnish individuals who gave stool samples in the year 2002. In addition, ~300 individuals will undergo a in-depth health examination in 2024.
This study will collect medical and background information from participants with diseases that affect the heart and blood vessels (cardiovascular disease). Participants will continue their normal care and will not get any treatment other than those the study doctor has prescribed.
The goal of this hybrid type 1 effectiveness-implementation study is to evaluate and compare different ways of delivering genetic research results to participants. The main questions the study aims to answer are: - Is sharing actionable genetic research results with participants through a multimedia patient-informed eHealth intervention (e.g. patient portal) no worse than sharing results by telephone or videoconference with a genetic counselor? - Will research participants access an eHealth educational intervention or chatbot education to learn about research results being offered and the option to decline learning their individual research results and how frequently participants choose to decline actionable research results? - Who benefits less and more from digital intervention with return of actionable research results and what barriers exist to using these tools for return of research results outside this study? Participants in the biobank will be offered digital tools to learn about research results being offered and the option to decline receiving these results. Those who don't decline and have an actionable result will be randomly assigned to receive their results with a genetic counselor or through an eHealth portal. Participants will complete surveys before and after receipt of results to understand patient experiences with these methods of education and return of results to determine if digital tools can be used to help ensure more patients get access to research results which could impact their health.
The HEARTS Technical Package was developed by the World Health Organization to address the implementation gap of cardiovascular disease prevention in low- and middle-income countries. Guatemala is a middle-income country that is currently implementing HEARTS. National authorities are interested in exploring how hypertension and diabetes management can be integrated in HEARTS implementation. The objective of this study is to conduct a feasibility and acceptability pilot trial of integrated hypertension and diabetes management based on HEARTS in the publicly funded primary care system in Guatemala.
Chronic diseases such as cardiovascular disease and diabetes type 2 are major causes of death worldwide. Preventive interventions can be delivered through primary care, as this is the first-line healthcare with which a considerable proportion of the population comes into contact every year. The goal of this cluster-randomized trial is to compare the effects of a Health Dialogue Intervention (HDI) to Opportunistic Screening (OS) in primary care among middle-aged adults with low socioeconomic status. The main questions it aims to answer are: - What is the short-term change in cardiovascular risk factors, lifestyle behaviors, and perceived quality-of-life among participants offered HDI, as compared to participants offered OS? - What is the long-term risk of ischemic heart disease, stroke, type 2 diabetes, and death due to cardiovascular disease or type 2 diabetes, among participants offered HDI, as compared to participants offered OS?
Cardiovascular disease (CVD) is common, deadly, and costly, and adults with insomnia represent a large group of people at elevated risk of developing CVD in the future. This clinical trial will determine if our updated insomnia treatment, called the SHADES intervention, improves CVD factors thought to explain how insomnia promotes CVD and if these improvements are due to positive changes in sleep factors. A total of 200 primary care patients with insomnia and CVD risk factors will be randomized to 6 months of the SHADES intervention (internet, telephonic, and/or face-to-face cognitive-behavioral therapy for insomnia) or the active control condition (sleep education/hygiene, symptom monitoring, and primary care for insomnia). Before and after treatment, participants will complete measurements of the CVD factors (systemic inflammation, autonomic dysfunction, metabolic dysregulation, proinflammatory gene expression) and the sleep factors (insomnia symptoms, sleep onset latency, wake after sleep onset, sleep efficiency). Researchers will test whether the SHADES intervention produces greater improvements in the CVD factors than the active control condition.
Aims of the study: - To measure the rate of completion of a digital cardiac rehabilitation programme at Imperial College Healthcare NHS Trust (ICHNT) - To measure the health economic impact of a digital cardiac rehabilitation programme at ICHNT Any adult patient eligible for ICHNT cardiac rehabilitation (CR) programmes is eligible to participate. Participants will receive a commercially available smart watch and be asked to wear the device as much as possible. In addition, they will be asked to download a smartphone application called 'Imperial Healthy Hearts', which displays movement and information on heart rate, breathing and oxygen levels to both the participant and the research team (digital data). The Healthy Hearts app also allows the direct care team to provide educational materials to patients as part of their routine care. The clinical content and structure of the CR programme is determined by the clinical CR team, and does not deviate from established local and national standards and practices. Researchers will capture physiological data such as heart rate, respiratory rate, blood pressure (where available) and oxygen saturation (where available) via the Healthy Hearts platform. Researchers will also capture clinical information from the electronic health record, and will compare CR programme uptake and completion rates with historical data and national targets.
Aims of the study: 1. To deliver a scalable wellbeing programme to the local population of Imperial College Healthcare NHS Trust, focusing on movement. 2. To describe the natural history of long-term conditions using digital data from a smartwatch. 3. To identify digital information that is routinely collected by a smart watch that can be used to predict outcomes in patients with long term conditions. 4. To identify factors that determine whether participants engage with and improve in a movement programme. Adult patients who are registered to the Imperial NHS Care Information Exchange (CIE), an NHS patient-facing electronic health record, are eligible to participate in the study. Participants will receive a smart watch for self-monitoring of their movement and wellbeing and be asked to wear the device as much as possible. They will be asked to download a smartphone application called Connected Life, which displays movement and information on heart rate, breathing and oxygen levels to both the participant and the research team (digital data). Participants will receive secure login details for the Connected Life application from the research team, to ensure data privacy. The research team will look at participants' health records, and attempt to identify associations between the digital data and clinical information. This will allow the research team to identify digital data that predicts the onset and natural history of long term conditions, which may potentially allow for earlier diagnosis for future patients. The primary outcome of the study is the identification of trends in movement based on step-count data recorded by the smartwatch.