Active clinical trials for "Heart Failure"

In this study, the investigators will compare the accuracy of the Biostrap wristband, a wearable device with a clinical-grade Photoplethysmography (PPG) sensor, to measure ejection fraction and cardiac output in patients undergoing a cardiac ultrasound and pulmonary arterial catheterization, respectively.

To provide real world data on patient characteristics, disease management, healthcare utilization, and outcomes in patients with type 2 diabetes, Hypertension, Heart failure and/or Chronic kidney diseases

The investigator is trying to improving our knowledge in the treatment of HF patients, for the purpose of improving their quality of life and reducing hospitalizations. For achieving this the investigator would like to build a registry which will include all the HF patients going an evaluation in the Heart Failure unit or clinic in our facility,

Invasive hemodynamic monitoring in advanced heart failure patients is a relative new option. In order to investigate the impact of remote telemonitoring of pulmonary artery pressures on mortality and morbidity in a routine clinical setting in Germany, the investigators initiated this multicenbtric registry.

The purpose of this study is to examine small vessel disease (a condition in which the small arteries in the heart become narrowed). The investigators want to know how the small vessel disease contributes to pre-HFpEF (a condition with inadequate heart muscle function in the setting of preserved muscle pumping) and to better identify potential treatment for prevention of HFpEF. The main procedures of this study include up to 2 clinic visits (initial visit and a second clinical visit only if participants are unable to complete all research procedures at the initial visit); a 6-week phone interview visit, 4 quarterly follow-up phone interview visits in year 1; year 1 follow up cardiac MRI based on availability and ongoing annual follow-up phone interview visits to track progress. If participants choose to take part in this study, participants direct participation will end after 1 year, participants will then have the option of participating in ongoing annual check-in calls. Participants will be asked to undergo a physical exam and provide a completed medical history; complete a Cardiovascular (or Cardiac) Magnetic Resonance Imaging (CMRI) with contrast agent; complete questionnaires to describe heart symptoms and overall quality of life status; undergo blood draws to provide blood samples for research testing, and allow the study team to have access to medical records.

Metabolic abnormalities (e.g., hypertension, diabetes mellitus, dyslipidemia, and obesity) and unhealthy lifestyle behaviors (e.g., smoking and drinking habits, sedentary behavior, sleep disorder and physical inactivity) and unhealthy diet (e.g., high sugar and high fat) are major risk factors for cardiovascular diseases mobility and mortality. The investigators sought to estimate the impact of metabolic abnormalities, lifestyle behavior and diet pattern on prognosis of heart failure. This study planned to consecutively enroll 1,500 participants with heart failure with reduced ejection fraction and heart failure with mid-range ejection fraction fulfilling the inclusion criteria. Each heart failure survivors will be followed up for 5 years. Information on metabolic diseases, lifestyle and diet pattern were obtained through standardized questionnaire. The major adverse cardiac events will be identified by reviewing pertinent medical records and discharge lists from the hospitals, or official death certificates collected at local death registration centers, or directly contacting participants' family. The Cox proportional hazard model will be used to assess the association between metabolic risk factors and lifestyle and diet habits and health outcomes in heart failure patients.

This observational, prospective real-world evaluation will estimate and characterize the heart-failure related clinical workload burden associated with implementing a new care pathway (Triage-HF Plus) for remote monitoring and management in a cohort of device patients at 3 hospital sites in North West England as compared to the heart-failure related clinical workload burden prior to using this new care pathway. Triage-HF Plus incorporates the Triage-HF algorithm which is a device-based algorithm that uses the input from the integrated device diagnostics to detect changes in physiological parameters which may indicate an individual's increased risk of heart failure event in the 30 days after a high Triage-HF score.

This is a prospective multicenter study to decipher phenotypic variability within patients with heart failure and preserved left ventricular ejection fraction (HFpEF). From a registry of heart failure patients (2500 anticipated) hospitalized in the participating centers in the last 3 years, 300 HFpEF patients, 100 patients with heart failure and reduced ejection fraction (HFrEF) and 100 matched subjects without heart failure will be enrolled for an extensive phenotyping with physical evaluation, biomarkers and omics, cardiac and vascular imaging and telemonitoring of cardiovascular parameters. Cluster analysis with machine learning methods will be performed to define phenogroups unique to the HFpEF patient population.

To assess investigator engagement of μCor system data in the context of heart failure management. The μCor system includes a sensor and wearable patch for fluid management.

Risk assessment after myocardial infarction is critical in daily practice and evolution toward heart failure especially diastolic heart failure remains a key issue. All consecutive patients with myocardial infarction (either STEMI or NSTEMI but excluding type 2 MI) presenting at university hospital of Lille within 48 hours after symptom onset will be recruited in the RIGID-MI registry. The RIGID-MI study proposes to deeply evaluate at 1 month after MI: peripheral vascular disease, vascular stiffness, ventriculo-arterial coupling and other usual risk factors. The main objective is to identify clinical, biological and imaging parameters associated with poor prognosis, especially evolution toward diastolic heart failure, recurrence of MI, and bleeding.