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Active clinical trials for "Heart Failure"

Results 921-930 of 4671

Hyperkalaemia and Its Impact on Therapy With RAASi

HyperkalaemiaHeart Failure With Reduced Ejection Fraction1 more

Renin-angiotensin-aldosterone system inhibitors (RAASi) have transformed prognosis of patients with heart failure with reduced ejection fraction, diabetic nephropathy and chronic kidney disease. However, in everyday clinical practice patients often receive suboptimal doses of RAASi. The development of hyperkalaemia is one of the reasons for dose reduction or complete withdrawal of RAASi and this in turn is likely to have an adverse impact on patient outcomes. Yet it remains unknown precisely how often hyperkalaemia leads to changes to RAASi doses, if it is the sole reason, or whether this occurs in combination with other clinical situations such as worsened renal function and hypotension. It is also unclear what influences the decision-making process of healthcare professionals in managing patients with hyperkalaemia who take RAASi and if this is influenced by specialty, experience or indications for RAASi. In order to improve our understanding of the problem we are taking forward a research study (made up of 3 complimentary studies). These data are needed to help achieve our ultimate goal of improving the care of patients with prognostic indication for RAASi.

Recruiting13 enrollment criteria

Evaluation of Longterm Outcome of New York Heart Association Class III Heart Failure Patients Receiving...

Chronic Heart Failure

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.

Recruiting3 enrollment criteria

iCaReMe Global Registry

Type 2 DiabetesHypertension2 more

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

Recruiting5 enrollment criteria

Evaluation and Management of Heart Failure Patients

Heart Failure

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,

Recruiting4 enrollment criteria

Prognostic Markers of Acute Heart Failure With Chronic Kidney Disease

Chronic Kidney DiseasesAcute Heart Failure1 more

Acute heart failure (AHF) is defined as new or worsening of symptoms and signs of heart failure and is the most frequent cause of unplanned hospital admission in elderly patients. N-terminal pro-brain natriuretic peptide (NT-pro-BNP) is one of the most developed prognostic markers for AHR patients and. NT-pro-BNP has limitations in terms of diagnostic or predictive accuracy in patients with chronic kidney disease (CKD). Plasma proteomics have the potential to examine underlying pathophysiological and prognostic roles, so we compared the plasma proteomic signature to predict outcomes of patients with or without CKD hospitalized for AHF.

Recruiting2 enrollment criteria

Benefits of Microcor in Ambulatory Decompensated Heart Failure

Heart Failure

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.

Active14 enrollment criteria

Women's Ischemia Syndrome Evaluation (WISE) Pre-HFpEF

Coronary Microvascular DysfunctionHeart Failure With Preserved Ejection Fraction (HFpEF)

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.

Recruiting14 enrollment criteria

Impact of Peripheral Vascular Stiffness Assessment on Risk Prediction in Patients With Myocardial...

Myocardial InfarctionVascular Stiffness1 more

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.

Recruiting9 enrollment criteria

Metabolic Abnormalities, Lifestyle and Diet Pattern in Heart Failure

Heart FailureMetabolic Disease

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.

Recruiting11 enrollment criteria

PACIFIC-PRESERVED : PhenomApping, ClassIFication, and Innovation for Cardiac Dysfunction - HF With...

Heart FailureHeart Failure With Preserved Ejection Fraction

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.

Recruiting51 enrollment criteria
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