View clinical trials related to Heart Failure.
Filter by:The aim of this feasibility study is to determine whether an alert embedded within the electronic health record (EHR) causes clinicians to enrol patients into a randomised controlled trial (RCT) comparing oral fluid restriction versus no restriction in patients admitted to hospital with fluid overload. One of the main causes of fluid overload is heart failure where there is a lack of strong evidence to support the effectiveness of oral fluid restriction in the acute setting. This causes significant variation in clinical practice where decisions on whether or not to impose a restriction in oral fluid intake is based on the preference of the treating clinician rather than robust evidence from research. THIRST Alert is a pragmatic randomised controlled trial (RCT), embedded in the EHR, which seeks to determine whether a computerised alert for the clinical team can change clinician behaviour during routine NHS care at University College London Hospitals NHS Foundation Trust (UCLH). Patients with suspected fluid overload will be identified based on the prescription of intravenous furosemide, a medication used to stimulate diuresis (increased urine output) to remove excess fluid. A repeat prescription of intravenous furosemide within the first 48 hours of an unplanned admission will trigger the alert. A clinician from the treating team will then be asked to consider enrolling the patient into the RCT if they judge that oral fluid restriction might be beneficial but they have uncertainty about this (clinical equipoise). Enrolled patients will be randomised to either oral fluid restriction of 1 litre per day or no fluid restriction. This will then be actioned through documenting as part of the clinical plan in the patients record and then communicated to the patient and the rest of the clinical team, including nursing staff. The study will record the number of patients recruited into the trial and the effect of the alert on enrolled patients' subsequent oral fluid intake. There are no additional tests or follow up for patients and the trial finishes on discharge from the study site. All trial outcomes will use data collected from routine care and the study is supported by the UCLH Biomedical Research Centre, funded by NIHR.
The MEA cardiology societies have joined forces to tackle the issue by establishing a tangible real-world data registry in every MEA country. This endeavor has resulted in the development of a multicenter registry called MEA-WCVD, which is being sponsored by each national cardiology society from participating countries. All data gathered will be consolidated into a singular registry for thorough analysis. Country specific analysis will be performed.
Left bundle branch block (LBBB) exists in about 25% of patients with congestive heart failure and is associated with worsened prognosis. Cardiac resynchronization therapy (CRT) has been one of the most important advancements in the past two decades for patients with LBBB heart failure. However, 30-40% of patients receiving a CRT do not benefit from it. In this study, the investigators will test a noninvasive device to evaluate acute effect of CRT during implantation and at follow-up CRT controls. In addition, echocardiography will be performed during CRT turned ON and OFF to visualize the changes in intraventricular flow and functional parameters of the heart.
Type 2 diabetes is an important co-morbid condition strongly associated with the risk of developing heart failure (HF). Risk scores such as the WATCH-DM score that predict the occurrence of HF among diabetes patients are largely based on data collected from white ethnicities. Here, the investigators sought to investigate surrogate markers for predicting HF among type 2 diabetes patients of Asian ethnicities.
Sensorum Health (Sensorum) is conducting a pilot study to determine if Sensorum's proprietary passive sensor network can be used to identify signals of early health decompensation in subjects prior to a hospitalization for chronic disease exacerbation or other ambulatory care sensitive conditions. Successful early detection would provide a window of opportunity to intervene outside of the acute setting in future interventional studies.
Sensorum Health (Sensorum) is conducting a pilot study to determine if Sensorum's proprietary passive sensor network can be used to identify signals of early health decompensation in subjects prior to a hospitalization for chronic disease exacerbation or other ambulatory care sensitive conditions. Successful early detection would provide a window of opportunity to intervene outside of the acute setting in future interventional studies.
The overall aim of the study is to evaluate the effects of a psychosocial dyadic intervention on mutuality, psychological strengths (i.e., resilience and self-compassion), psychological distress (i.e., anxiety and depression), and QoL outcomes of HF patients and caregivers. The HF patient-caregiver dyads will be randomly allocated to the intervention group to receive a 12-week relationship-focused psychosocial dyadic intervention, or to the control group to receive the usual care provided by the clinical team in the hospital.
The purpose of this study is to develop valid scientific evidence of the safety and benefit of Barostim Therapy in the commercial setting in patients that are symptomatic despite having received CRT.
The goal of this study is improve the screening of heart failure and identify patients early who are at risk of heart failure. The main question[s] it aims to answer are: • will an electronic health records (EHR) case finding algorithm for heart failure, followed by N-Terminal pro-brain natriuretic peptide (NT-proBNP) screening and artificial intelligence (AI) echocardiogram compared to usual care identify patients at risk for heart failure earlier than standard of care? Participants will be enrolled and randomized to either standard of care (SOC) or intervention arm: SOC arm: electronic health records will be reviewed over six months for assessments performed to identify heart failure. Intervention arm: blood sample for N-terminal prohormone of B-type natriuretic peptide (NT-proBNP) at local laboratory . For elevated NT-proBNP results (>125pg/ml) an artificial intelligence (AI) echocardiogram and 12 lead electrocardiogram (ECG) will be performed at study site (within 28 days of NT-proBNP result). EHR will be reviewed at six months
The SmartHF study is a 12-week prospective randomized controlled multicenter clinical trial. This study will investigate the efficacy of an adaptive web application to facilitate guideline-directed medical therapy (GDMT) optimization in HFrEF patients. Eligible participants will be randomized to the web application intervention or control in a 1:1 manner, stratified by site. The intervention is an adaptive medication optimization web application that extracts and analyzes the EHR data with a computable medication optimization algorithm. The algorithm provides a medication quality score and outputs medication optimization recommendations written in a patient -friendly manner.