View clinical trials related to Heart Failure.
Filter by:The study team is studying how increasing dietary fiber, specifically through adding potato starch to participant's diet, may impact the species of bacteria in participant's gut microbiome. The study team also wants to understand if adding potato starch to participant's diet helps these bacteria make more short chain fatty acids, a byproduct the team thinks may benefit participant's health.
Heart failure (HF) is a global, public health issue that affects more than 63 million people worldwide; this burden is expected to increase substantially as the population ages. Despite advancements in treatment, a HF diagnosis still leads to significant morbidity and mortality; there is also an immense impact on patients' health-related quality of life (HRQoL). Dapagliflozin was recently granted approval for heart failure by the European Commission, regardless of ejection fraction and whether the patient has diabetes. Real-world observational data are necessary to describe dapagliflozin use in real-world settings in order to assess treatment patterns, HF symptoms and their impact on physical limitation, HRQoL and work productivity, as well as health care utilization of patients treated with dapagliflozin in this setting under local treatment standard conditions in Germany.
Primary Objective To investigate if patients hospitalised for older adults with a decreased level of physical function, either related to a chronic condition e.g., COPD, Congestive heart failure, renal failure; infections; frailty and tendency of falling; orthopaedic surgery - after hip fracture will increase their time spent out of bed during hospitalisation and 3 months after discharge through visual feedback and motivational intervention about physical activities from a new mobile technology. Hypothesis Patients hospitalised for medical disease will increase their physical activity level during hospitalisation and 3 months after discharge through visual feedback and motivational intervention from a new mobile technology.
The purpose of this study is to find out if there are any patterns in the way people's bodies react to physical activities and their voices when they have heart failure, a disease where the heart cannot function sufficiently. To do this, the investigators will use a smartwatch that can measure multiple signals like the participant's heart rate and movement. Investigators will ask participants with and without heart failure to wear the Watch HOP (from HOP-Child Technologies Inc.) and sensors during physical tasks at their clinic visit at the McGill University Health Centre. Researchers will also record the participants' voices between their visits. The key signals can help find who is at risk for heart failure or develop new ways to monitor and treat it.
The objective of our research is to evaluate the effectiveness of an innovative medical device designed to measure foot and lower leg sizes in detecting early indications of deteriorating heart failure. This health condition frequently causes leg swelling and breathing difficulties due to fluid accumulation. Early detection of these symptoms is vital for effective management, potentially preventing the need for hospitalization. Fluid retention in the lower legs and lungs, manifesting as swollen ankles and shortness of breath, is a common sign of progressing heart failure. Often, a slight increase in body weight is the first warning of fluid accumulation, occurring before noticeable swelling or breathing issues arise. Early identification of these fluid accumulation signs is critical for timely intervention, which can avert the necessity for hospital admittance. Patients are usually encouraged to monitor their weight, check for swelling in the ankles, observe their breathing, and consult with their healthcare provider or heart failure specialist at the first sign of these symptoms. In many cases, patients can report these symptoms in time for their healthcare team to adjust their treatment accordingly. Diuretics, or water pills, are often prescribed to help eliminate excess fluid, effectively preventing hospital admissions when used promptly. The Heartfelt device may provide a useful solution for individuals who find it challenging to consistently monitor these indicators and their weight. It is designed to detect early warning signs seamlessly without imposing additional tasks on the patient's daily routine. The device, intended to complement rather than replace self-monitoring practices, is user-friendly and operates by scanning the feet for any size changes, positioned conveniently by the bedroom floor. This capability allows healthcare professionals to make informed decisions swiftly about patient care, potentially adjusting treatments to avoid further health complications. The device captures images of the feet only, ensuring privacy. This study aims to ascertain the device's practical effectiveness in real-world scenarios, aiming to collect precise data to confirm its potential benefits for patients facing heart failure challenges.
A clinical trial of exercise-similar heart rate acceleration delivered via cardiac pacing vs. sham intervention in subjects at rest will be performed. The study population comprises subjects with guideline-directed medically managed severe left ventricular dysfunction due to ischemic or non-ischemic cardiomyopathy and an existing implantable cardioverter defibrillator or biventricular implantable cardioverter defibrillator. The purpose of the study is to understand how the heart rate pattern of exercise contributes to the considerable cardiac conditioning effects of exercise and estimate whether the pacing approach may have translational clinical applicability. Fifty-two subjects will be randomized, single-blinded, to either the pacing intervention or a sham intervention which they will receive once daily, 3 days/week for 6 weeks. Baseline symptoms and clinical test results will be compared to the same measures at 2 weeks, 4 weeks and 6 weeks of intervention/sham and at 3 months and one-year post-intervention. The primary endpoint will be the change in left ventricular ejection fraction from baseline in intervention vs. sham groups (mixed effects linear regression with time and treatment arm as fixed effects and pre-specified covariates of sex and cardiomyopathy type as random effects). Secondary endpoints will include changes in quality of life, 6-minute walk distance, cardiopulmonary exercise test (CPET) measures, daily activity and major adverse cardiac events (MACE) at 3 and 12 months between pacing and sham groups. A "dose-response" analysis of outcomes at 2, 4, and 6 weeks of the intervention vs. sham compared with baseline will be performed.
Heart failure (HF) patients often develop pulmonary hypertension (PH) that leads to transition into a biventricular HF with poor prognosis. There are two PH components: 1) passive transmission of increased left atrial pressure, 2) heart failure (HF) related pulmonary vascular dysfunction (PVD) with increased vascular resistance. Intriguingly, only some, but not all HF patients develop heart failure-related PVD. The mechanisms and non-invasive detection of HF-PVD are poorly understood and are the focus of the current grant application. Development of PVD is linked to insufficiently characterized metabolic factors that may be mediators of HF-PVD. Untargeted metabolomics is an emerging powerful platform for the discovery of pathways linked to diseases. Its specificity can be further enhanced using transpulmonary gradient sampling. Part A of the project aims to identify novel metabolites associated with the presence of PVD in patients with HF that can serve as biomarkers or targets and will provide biologic insights into PVD. Part C will assess the effects of reverting of metabolic alterations (identified in part A) by a drug/diet on pulmonary vasculature in experimental HF-related PVD. The "gold standard" for the detection of PVD is right heart catheterization, which is invasive and risky. Heart failure-related PVD is therefore often diagnosed late. There is a need for noninvasive tests that may help to detect PVD in early stages and can be done repeatedly. Recent advances in artificial intelligence (AI)-assisted automated quantitative analysis of lung texture from low-dose contrast-free high-resolution CT images allow to quantify lung water content, interstitial changes or vessel volume, and may provide clues for detection of heart failure-related PVD. Such an approach, not tested yet, will be utilized for the detection of HF-PVD (part B). Clinical and functional characteristics of lung circulation (exercise hemodynamics, diffusion capacity, perfusion) will be analyzed in relation to quantitative CT data.
This is an investigator-initiated, single-center, single-arm prospective study to compare non-invasive hemodynamic assessment using transthoracic echocardiography (TTE) and lung ultrasound (LUS) and hemodynamic assessment using PAC. Patients who have been hemodynamically assessed using PAC will be invited to participate. Each patient will undergo TTE and LUS immediately after first invasive assessment, and again daily after PAC assessments.
Assessing the Efficacy of Artificial Intelligence in Left Ventricular Function Screening Using Parasternal Long Axis View Cardiac Ultrasound Video Clips ABSTRACT BACKGROUND: Echocardiography serves as a fundamental diagnostic procedure for managing heart failure patients. Data from Thailand's Ministry of Public Health reveals that there is a substantial patient population, with over 100,000 admissions annually due to this condition. Nevertheless, the widespread implementation of echocardiography in this patient group remains challenging, primarily due to limitations in specialist resources, particularly in rural community hospitals. Although modern community hospitals are equipped with ultrasound machines capable of basic cardiac assessment (e.g., parasternal long axis view), the demand for expert cardiologists remains a formidable obstacle to achieving comprehensive diagnostic capabilities. Leveraging the capabilities of Artificial Intelligence (AI) technology, proficient in the accurate prediction and processing of diverse healthcare data types, offers a promising for addressing this prevailing issue. This study is designed to assess the effectiveness of AI in evaluating cardiac performance from parasternal long axis view ultrasound video clips obtained via the smartphone application. OBJECTIVES: To evaluate the effectiveness of artificial intelligence in screening cardiac function from parasternal long axis view cardiac ultrasound video clips obtained through the smartphone application.
The goal of this observational study is to evaluate the clinical characteristics of patients undergoing permanent cardiac pacing and to compare procedural efficacy and safety of different implantation approaches in the clinical practice of the participating centres. The contribution of non-fluoroscopic anatomical and electrophysiological reconstruction systems to device implantation procedures will also be evaluated. Participants [patients over 18 years old with an indication to receive a definitive pacemaker/intracardiac defibrillator implant] will receive a permanent cardiac pacing implant as requested according to European Society of Cardiology (ESC) guidelines; the investigators will evaluate procedural efficacy and safety of different implantation approaches.