Active clinical trials for "Heart Failure"

The aim of our study is to understand the biological pathways involved in the occurrence of IDy in patients with HF since ID is very common and supposes a negative impact in terms of clinical outcomes in these patients. In this context, a deeper understanding of the mechanisms involved in the development of ID in these patients and the impact on the altered biological pathways after iron replenishment will pave the way for an improvement and simplification of the preventive strategies in patients with HF.

The aim of the study is to provide information on the interaction between socioeconomic factors, daily physical activity, nutrition and lifestyle on loss of muscle mass and muscle function in patients with heart failure.

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.

This research is being done to better understand the relationship between information collected by wearable devices and clinical measurements in people with heart failure with preserved ejection fraction (HFpEF) and others without HFpEF. This is an observational study with no study intervention or randomization. Participants will undergo baseline history and physical, 12-lead EKG, laboratory studies of blood/serum/urine, echocardiography, activity questionnaire, 6 minute walk test, and placement of wearable devices to be worn for up to 14 days (activity monitors, EKG monitor and continuous glucose monitor). Participants will return after ~14 days of wearing the devices and repeat of physical examination, 12-lead EKG, 6 minute walk test, activity questionnaire. Additionally, participants will undergo magnetic resonance imaging (MRI) of their leg with exercise, cardiopulmonary exercise testing (CPET) and, for those who qualify, magnetic resonance imaging (MRI) of their heart with exercise.

Heart failure (HF) is a frequent, serious, and costly chronic disease: it leads to 150,000 hospitalizations each year in France at a cost of 525 million Euros. It is estimated that 20-40% of these hospitalizations are preventable by known interventions: home telemonitoring, care coordination, therapeutic intensification and therapeutic education. But these interventions only work if patients at high risk of rehospitalization are targeted to individualize management. In these patients, the risk of rehospitalization depends on clinical, biological, socioeconomic, care pathway, and location-related data. Existing predictive tools perform poorly due to three important limitations: non-use of unstructured clinical data, lack of integration of multimodal data, and weakness of the algorithmic approach. The objective is to design and validate a predictive algorithm for the risk of rehospitalization in heart failure patients, using multiple data sources

Observational, retrospective registry with acute and chronic endpoints

Atrial fibrillation (AF) represents a problem of great implications to patients with heart failure (HF). Therefore, the risk of having AF increases up to 4,5 -5,9 times with the presence of HF. Both conditions share risk factors and the presence of the one worsens the progress of the other. Therefore, the AF is not only relevant in terms of thromboembolic events. Timing of AF progression seems to be associated with an increase in all causes of mortality. Although, it is estimated that between 30%-40% of the patients with HF develop AF, given that in many cases it occurs with no apparent symptoms for the patients, is considered that the number of affected patients is greater. Since silent AF poses a problem of great impact in patients with HF, monitoring through continuous electrocardiographic registry could be useful in those patients with a higher risk of thromboembolic events. The purpose of this study is to understand the mechanism and biological and clinical relevance of the AF from a holistic approach. Trying to distinguish the symptomatic AF from the silent one using the implementation of insertable cardiac devices. The purpose of this study is 1. To determine in which percentage of patients with HF, episodes of AF both symptomatic and asymptomatic occur, as well as if the presence of AF represents an irrelevant fact in the progression of the insufficiency or in the contrary, it is the cause of the HF patients clinical decline. 2. To examine the presence of triggers of AF in patients with HF and to identify the presence of clinical markers, image markers of the atrium and left ventricle, as well as biomarkers which allow the risk of stratification and could mean future therapeutic targets.

RV dysfunction has been associated with increased mortality in the ICU and cardiac surgical patients. Thus, early identification of RV dysfunction at less severe stages will allow for earlier intervention and potentially better patient outcomes. However, so far, no studies have reported prospectively the prevalence of abnormal RV pressure waveform during cardiac surgery and in the ICU. The investigator's primary hypothesis is that the prevalence of abnormal RV pressure waveform occurs in more than 50% of cardiac surgical patients throughout their hospitalization. Those patients with abnormal RV pressure waveform will be more prone to post-operative complications related to RV dysfunction and failure in the OR and ICU.

The main goal of our investigation is to study the mechanisms of formation of left ventricular remodeling in patients with hypertension, working on a rotational expedition basis in the Arctic.

Acorai is developing a non-invasive monitoring system for the estimation of intracardiac hemodynamic parameters in patients with suspected or confirmed heart failure, and/or pulmonary hypertension, who require hemodynamic assessment. The device will be intended as a companion test or clinical decision support tool to be used and interpreted by qualified healthcare professionals to aid standard-of-care clinical assessment in identifying hemodynamic congestion and supporting personalized treatment of heart failure and pulmonary congestion. This study is part of the development of a non-invasive monitoring system for the estimation of intracardiac hemodynamic parameters. It will be conducted to collect the data needed to train the machine learning models retrospectively.