View clinical trials related to Heart Failure.
Filter by:This is a multicentric, prospective, observational study with two cohorts and adjunctive procedure. It aims at collecting and analyzing data about the function of an innovative hospital-territory integration health service for the management of patients with intermediate urgency, or emergency department "white codes." This service, activated in the participating centers, will be provided in two alternative modalities, one so-called "dual specialty" (cardiology and diabetes specialist outpatient clinic) and a second one more focused on the figure of the specialist in Internal Medicine. The investigators will monitor the population treated in these centers (presenting complaint, medical history, clinical-radiological data, performed therapies and overall health path) and the degree of satisfaction of the General Practitioners who sent their patients there and the degree of satisfaction of the patients themselves. The data collected will also be used to evaluate the effectiveness of the outpatient clinics in terms of reducing improper admissions to the Emergency Departments and hospitalizations. The two modes of service delivery will be compared. This is an 18-month study, sponsored by our Scientific Directorate and carried out on a nonprofit basis. The study will enroll 246 patients and 30 healthy volunteer General Practitioners. The clinical trial will be conducted in accordance with Good Clinical Practice standards.
The goal of this study is to better understand the effects of a sodium-glucose transport protein 2 inhibitor, dapagliflozin, added on to standard of care on heart and lung function and circulating metabolites (substances created when our bodies break down food, drugs, or its own tissues) in patients with chronic kidney disease.
In this study, patients with endocardial myocardial biopsy were selected to observe the safety of the operation, and pathological examination was performed. If necessary, special tests such as viral examination, mass spectrometry and molecular biology were performed to confirm the diagnosis, and follow-up was performed.
This study aims to explore the potential of RDN as a therapy for HFpEF in a Prospective, Multicenter, Randomized, Blinded, Sham-controlled Study.
This study aims to compare the efficacy of vericiguat versus placebo on change in n-terminal pro-brain natriuretic peptide (NTproBNP) from baseline to Week 16. The primary hypothesis is Vericiguat is superior to placebo in reducing NT-proBNP at Week 16.
The objective of this study is to evaluate the safety and performance of the V-LAP System in subjects with New York Heart Association (NYHA) functional class II and III HF, irrespective of left ventricular ejection fraction.
To confirm the safety of tolvaptan sodium phosphate in patients with volume overload in heart failure.
The iPeer2Peer (iP2P) program is an online peer support mentorship program that provides modelling and reinforcement by trained young adult peer mentors to adolescent mentees with the same condition. A waitlist hybrid implementation-effectiveness type 3 pilot randomized controlled trial design will be employed across four sites. We will recruit 40 mentees (12-17 years of age) and 12-15 mentors (18-25 years of age) who will undergo training in mentoring and the use of eHealth technology. Mentor-mentee pairings will connect over 15 weeks through video calls and text messaging to provide peer support and encourage disease self-management skills. Data will be collected using standardized instruments and interviews across three time points.
In the present project, we propose to run an observational study in order to create a huge dataset with telemonitoring data from heart failure (HF) patients. The dataset will contain physiological measurements, socio-demographic data, risk factor information, medication tracking, symptomatology, clinical events and health-related questionnaire answers from each patient. Furthermore, health-related alarms will be delivered to the medical professionals whenever a measure from a patient is out of a predefined clinical range. These alarms and its defined level of relevance (indicated by the medical professionals) will also be Included in the dataset. With the annotated dataset we will be able to implement and train Machine Learning (ML) models that will improve the alarm-based system by making it more robust, trustworthy and reliable.
This is a prospective, multicentre, unblinded, randomised, controlled trial. The primary aim is to assess a targeted screening strategy to detect undiagnosed heart failure in high-risk patients with diabetes.