Active clinical trials for "Heart Failure"

To determine the usability and technical aspects of Cordio HearO™

Prospective evaluation of the predictive value for post-LVAD right ventricular failure (RHF) of pulmonary vasodilator challenge, in addition to current laboratory, echocardiographic and haemodynamic parameters. LVAD candidates satisfying the inclusion criteria will undergo vasodilator challenge with sodium nitroprusside (NTP) infusion following the study protocol. Thereafter, we will evaluate all data in order to determine which variables significantly correlate with RHF onset after LVAD implantation.

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.

The ultimate goal of the PREDICT-HFpEF study is to identify and unravel predictors for the development of heart failure with preserved ejection fraction (HFpEF) in a cohort at increased cardiovascular risk. Patients that were initially included in another prospective cohort study (LIFE-Heart study) and did not show evident heart failure at that timepoint, will be followed-up approximately 7-years after their initial inclusion in the LIFE-Heart study. Patients will be screened for the development of HFpEF and characterized with thorough clinical as well as laboratory assessment. Patients will be classified according to the presence of absence of heart failure and predictors for the development will be identified by using measurements taken at their initial inclusion in the LIFE-Heart study.

The purpose of this clinical trial is to see if a new device (SCD) is safe and if it can reduce damage to the kidney enough to allow medications to work to improve heart and kidney function for use in patients that have moderate to severe heart failure and is at least in part due to heart failure and it not responding to standard medical therapy. The SCD is a cartridge used with a commercial hemodialysis unit. Participants will be enrolled in the clinical trial once eligibility is confirmed. In addition to clinical assessments and laboratory testing participants will have surface echocardiograms during the trial. The SCD treatment will take place for 4 hours on day 1, 3, and 5 while on hemodialysis.

A biobank has been created to investigate the prognostic value of biomarkers (mainly BNP) in patients implanted with durable mechanical assist devices comparing patients with advanced HF supported by MCS with those who are transplanted and those who remain on optimal medical therapy. Patients will be followed up for 25 years after inclusion.

The purpose of this study is to better understand the time course of different biological mechanisms involved in acute decompensated heart failure complicated by cardiogenic shock throughout the evaluation of changes and the relationship among markers of inflammation (IL-6) and markers of increased endothelial permeability (Ang-2) or endothelial glycocalyx perturbation (Syndecan-1 and HS) and throughout a targeted metabolomic approach.

This study is meant to predict the outcome of VAD therapy, by forming a VAD registry for quality assessment, research, and real-time monitoring of patients on VAD therapy. The goal is to optimize the use of VAD therapy for patients, to create an online quality measurement tool for VAD treatment, and to create algorithms to estimate the prognosis for patients getting a VAD.

The aim of this study is to develop and validate an improved, comprehensive risk assessment algorithm integrating blood RNA-based biomarkers, clinical, and patient-centered data and to assess the incremental predictive value (discrimination and reclassification) compared to a traditional risk model (change in the c-statistics for prediction of the primary endpoint).