Active clinical trials for "Heart Failure"

Improvement in heart failure with moderate to severe mitral regurgitation using a percutaneously delivered implantable device.

The purpose of this study is to determine whether early diagnosis of obstructive sleep apnea and initiation of and adherence to CPAP therapy in hospitalized cardiac patients would impact 30-day hospital readmission rates.

This research work is focused on building and evaluating one of the first evidence-based clinical decision support tools for homecare in the United States. The results of this study have the potential to standardize and individualize nursing decision making using cutting-edge technology and to improve patient outcomes in the homecare setting.

INTRODUCTION: The complexity of the pathophysiology of heterogeneous diseases such as heart failure and obstructive pulmonary disease causes a different approach to these diseases or with a view as much as a better understanding of the same situations, with which the clinical profile of patients who are associated with an association is. It is known that regular physical training promotes progressive improvements in exercise tolerance, in the pulmonary ventilation / perfusion ratio and in respiratory function by strengthening. OBJECTIVE: To compare the effects of high-intensity interval training and continuous aerobic exercise, with peripheral endothelial function, brain natriuretic peptide levels, maximum exercise tolerance, distribution of lung volumes and quality of life of patients with obstructive pulmonary disease associated with heart failure. METHODS: This is a clinical, controlled, randomized and blinded trial. Peripheral endothelial function, tolerance to maximum and submaximal exercise, distribution of lung volumes, quality of life, presence of symptoms of depression and perception of clinical change will be evaluated. EXPECTED RESULTS: Incorporate into the care of these patients, new effective therapeutic approaches, of low cost and with greater technical and scientific evidence.

To determine whether an integrated AI decision support can save time and improve accuracy of assessment of echocardiograms, the investigators are conducting a blinded, randomized controlled study of AI guided measurements of wall thickness in parasternal long axis view compared to sonographer measurements in preliminary readings of echocardiograms.

This study will test the feasibility and effectiveness of an innovative model of care for cognitively impaired patients with heart failure. This program aims to improve cognition, reduce dementia risk and cardiovascular events, and will be supported by innovative digital technology for wide scale rollout and implementation. Findings from this research will transform the way healthcare is delivered to cognitively impaired patients with heart disease who have a very high risk of developing dementia.

The objective of this clinical investigation is to evaluate the safety and performance of the Carmat Total Artificial Heart (TAH) in subjects with advanced heart failure requiring biventricular support. Each subject receiving the Carmat TAH will be evaluated at 6 months (180 days) for primary and secondary endpoints with further follow-up assessments up to 2 years. The results of the study will be used to support a CE mark application.

The use of dobutamine in postoperative hemodynamic treatment is widespread despite seemingly intact contraction of the heart. This study aims to elucidate the efficacy of low-dose dobutamine infusion in patients in the postoperative phase replacement of the aortic valve.

Recruiting patients who were diagnosed with HFpEF. Using Non-contrast CT to measure the total Agatston coronary artery calcification score, epicardial adipose tissue volume and attenuation. Analysing the correlation between them.

HeartShare is a comprehensive study of heart failure, a common and serious medical condition which occurs when the heart is unable to keep up with the demands of the body, resulting in shortness of breath, fluid retention, and fatigue. HeartShare aims to better classify heart failure into subtypes to help develop more personalized treatments for patients, with the hope that this will improve the lives of heart failure patients. To do this, HeartShare is bringing together a large amount of data (including images, such as heart ultrasounds and MRIs and molecular data from the blood, such as genetics) from previously conducted studies and electronic health records, and is gathering new data through participants enrolled in the HeartShare Deep Phenotyping Study.