View clinical trials related to Heart Failure.
Filter by:Heart failure with preserved ejection fraction (HFpEF) was considered as a heterogeneous disease with multi-organ and multi-system design, which is related to various complications, such as hypertension, obesity and arteriosclerosis. Studies have found that hypertension and obesity are respectively associated with increased arterial stiffness. However, there is still no research investigating the the relationship between lipids distribution and arterial stiffness in HFpEF patients.
Met-PEF will be a randomized, double-blind, placebo-controlled trial to examine the effects of 20 weeks of 1500 mg/day of metformin on physical function, quality of life (QOL), microbiome diversity, leaky gut, and systemic inflammation in patients with 80 older patients with heart failure with preserved ejection fraction (HFpEF).
Evidence-based interventions to improve linkage and outcomes for heart failure (HF) patients requires input from stakeholders: patients, community health workers (CHWs), healthcare staff, and health system administrators. In this research the investigators will assess a CHW intervention designed to improve linkage to care for HF patients. This intervention was systematically adapted for use in rural Haiti in a prior study using the Assessment, Decisions, Administration, Production, Topical Experts, Integration, Training staff, Testing (ADAPT-ITT) framework. The ADAPT-ITT framework provides 8 sequential phases to adapt interventions and programs to new target audiences. It has been applied successfully to the adaptation of several interventions for HIV among under-resourced communities leading to randomized clinical trials. With the first 6 steps of the ADAPT-ITT framework completed in a prior study, this protocol outlines the training and testing of the adapted CHW intervention. In addition to assessing the feasibility, appropriateness, and acceptability of the adapted intervention through participants' feedback, the investigators will assess its efficacy in improving HF outcomes. The proposed intervention is targeted at both the patient domain - through improved peer support - and health system domain - by improving health system navigation.
The purpose of the program. Formulation of new treatments for heart and pulmonary failure through using organ-replacing technologies. Formulation of a clinical protocol and implementation of treatment methods into clinical practice heart and pulmonary failure using organ-replacing technologies. New methods were created for rehabilitating the function of affected organs after implantation of the LVAD, a total artificial heart, an extracorporeal life-sustaining system will be of great importance, both for Kazakhstan and for states with similar problems of donor organ deficiency, will also improve the effectiveness of surgical treatment and reduce the level of complications and mortality of patients on the extracorporeal life-sustaining system and septic patients.
Heart failure (HF) is a significant cause of death and the leading cause of hospitalization in patients over 65 years of age. Congestion is the main source of symptoms and the leading cause of hospitalization for HF. Furthermore, congestive signs identified in asymptomatic patients are associated with the risk of developing symptomatic HF. The literature supports a multi-modality / integrative evaluation of congestion, combining clinical examination, laboratory results and ultrasound evaluation. The main objective of the CHF-COVReduced study is to identify congestion markers (clinical, biological and ultrasound) quantified during a consultation or day hospitalization for the monitoring of chronic HF with reduced left ventricular ejection fraction that are associated with the risk of all-cause death, hospitalization for acute HF or IV diuretics injection in a day hospital.
Heart failure (HF) is a significant cause of death and the leading cause of hospitalization in patients over 65 years of age. Congestion is the main source of symptoms and the leading cause of hospitalization for HF. Furthermore, congestive signs identified in asymptomatic patients are associated with the risk of developing symptomatic HF. The literature supports a multi-modality / integrative evaluation of congestion, combining clinical examination, laboratory results and ultrasound evaluation. The main objective of the CHF-COV study is to identify congestion markers (clinical, biological and ultrasound) quantified during a consultation or day hospitalization for the monitoring of chronic HF that are associated with the risk of all-cause death or hospitalization for acute HF within 24 months after day hospitalization.
This is a quality improvement initiative with the goal of optimizing heart failure (HF) patients seen through the outpatient cardiac implantable electronic device clinic at the University of Ottawa Heart Institute (UOHI). The UOHI device clinic oversees more than 12,000 in-clinic patient visits annually with over 5000 visits for patients with reduced ejection fraction (EF) and HF. In patients with reduced EF, guideline directed medical therapy compliance (GDMT) is sub-optimal in real world clinical practice. Considering the most recent changes to The Canadian Cardiovascular Society heart failure guideline recommendations, the compliance rate may be even lower than reported rates in the literature. The goal of this study is to optimize GDMT through collaboration between the HF clinic, a HF/arrhythmia nurse practitioner, and application of a nurse run algorithm based pathway to identify patients suitable for medication optimization and guiding the most responsible physician (MRP) for their heart failure (PCP, cardiologist or HF physician) through a letter. The compliance rate will also be re-evaluated to assess improvement in GDMT in this patient population. GDMT will ensure the greatest chance to improve patient outcomes by reducing heart failure hospitalizations, emergency room visits, ventricular arrhythmias, implantable cardioverter defibrillator shocks, clinic visits, and thereby improving patients' quality of life.
The aim of this trial is to assess the effect of Empagliflozin on cardiac mass, volumes, cardiac biomarkers, metabolism, daily activity level, health-related quality of life in patients in elderly and obese patients with increased risk of developing heart failure. The primary hypotheses are that 180 days of treatment with Empagliflozin 10 mg a day will: 1) reduce left ventricular mass index, and 2) increase peak VO2 (maximal oxygen consumption) compared with placebo.
With stress echo (SE) 2020 study, a new standard of practice in stress imaging was developed and disseminated: the ABCDE protocol for functional testing within and beyond CAD. ABCDE protocol was the fruit of SE 2020, and is the seed of SE 2030, which is articulated in 12 projects: 1-SE in coronary artery disease (SECAD); 2- SE in diastolic heart failure (SEDIA); 3-SE in hypertrophic cardiomyopathy (SEHCA); 4- SE post-chest radiotherapy and chemotherapy (SERA); 5- Artificial intelligence SE evaluation (AI-SEE); 6- Environmental stress echocardiography and air pollution (ESTER); 7- SE in repaired Tetralogy of Fallot (SETOF) ; 8- SE in post-COVID-19 (SECOV); 9: Recovery by stress echo of conventionally unfit donor good hearts (RESURGE); 10- SE for mitral ischemic regurgitation (SEMIR); 11- SE in valvular heart disease (SEVA); 12- SE for coronary vasospasm (SESPASM). The study aims to recruit in the next 5 years (2021-2025) ≥10 000 patients followed for ≥5 years (up to 2030) from ≥20 quality-controlled laboratories from ≥10 countries. In this COVID-19 era of sustainable health care delivery, SE2030 will provide the evidence to finally recommend SE as the optimal and versatile imaging modality for functional testing anywhere, any time and in any patient.
This study will enroll heart failure (HF) patients who are under active management with an implanted pulmonary artery pressure sensor (CardioMEMS). Subjects will be provided an electronic stethoscope (the Eko DUO) to take at-home heart sound, lung sound, and ECG recordings in conjunction with regimented CardioMEMS measurements. These two datasets will be used to confirm whether an AI/ML model to track HF status can be developed.