View clinical trials related to Heart Failure.
Filter by:The induction of anesthesia is one of the most critical situations for high-risk-patients undergoing major surgery. For several reasons, it is crucial to maintain adequate blood pressure and cardiac output during this phase. This observational study aims to find out if the choice of the induction agent has a major impact on blood pressure and the use of antihypotensive drugs during the induction and the surgical procedure in heart-failure patients undergoing the implantation of a left ventricular assist device (LVAD).
assess the relation between glycemic gab and adverse clinical outcomes in diabetic patients who hospitalized with heart failure
The present is a multicenter, prospective, randomized, open-label, blinded end-point trial aiming to investigate the clinical benefit of a stepwise, natriuresis-driven diuretic strategy versus standard diuretic treatment in patients with acute decompensated heart failure with reduced ejection fraction (HFrEF) and low early urinary sodium excretion. The study will focus on patients at increased risk of resistance to diuretic therapy. In particular, patients admitted to the emergency department and cardiac intensive care unit due to an on-chronic or de-novo acute decompensated HF episode with a predominantly "wet" profile and low early spot urinary sodium (UNa+) excretion will be considered. Spot natriuresis is a low-cost, non-demanding laboratory test in use to identify diuretic-resistant patients with an inherent poor prognosis. Whether the early identification of diuretic resistant patients and the consequent more aggressive treatment may lead to a better outcome has not been demonstrated by randomized studies. This trial aims to assess if an intensive stepwise diuretic approach guided by systematic urinary output assessment including natriuresis evaluation versus a standard diuretic strategy based on urinary output alone effectively leads to faster euvolemia achievement and better prognosis in a real-world setting.
Single-cohort retrospective study evaluating the incidence and prognostic markers of heart failure following acute coronary syndrome treated by percutaneous coronary intervention
This is a retrospective observational study drawing on data from the Brigham and Women's Home Hospital database. Sociodemographic and clinic data from a training cohort were used to train a machine learning algorithm to predict the likelihood of 30-day readmission throughout a patient's admission. This algorithm was then validated in a validation cohort.
Hospitalized patients with acute decompensated heart failure (ADHF) present a high prevalence of inspiratory muscle weakness on admission and discharge. Inspiratory muscle training has been reported as a beneficial approach in chronic heart failure. However, the effects of inspiratory muscle training in hospitalized patients with ADHF have been not known. The aim of this study is to investigate the safety, feasibility, and effects of inspiratory muscle training in hospitalized patients with ADHF.
The study is a multi-center, prospective, non-randomized, observational study to collect data to develop and validate a machine learning algorithm for early detection of worsening heart failure events using multi-parametric sensor data from wearable data capture device The VESTA study will enroll up to 552 subjects in up to 25 centers in order to collect data on a total of at least 56 worsening heart failure events (independently adjudicated hospitalizations or unscheduled intravenous administration of decongestive drugs).The duration of follow-up per participant will be between 3-6 months.
This study will examine the clinical feasibility of His pacing in patients with expected high demand for ventricular pacing and no established indication for cardiac resynchronization therapy. Secondarily, examine differences in electrical and mechanical cardiac activation between traditional pacing and His pacing.
The objective of the study is to determine the efficacy of repeated infusions of levosimendan in the group of outpatients with advanced systolic heart failure (HF).
An investigator-initiated clinical drug study Main Objective: To explore neuroprotective properties of xenon in patients after aneurysmal subarachnoid hemorrhage (SAH). Primary endpoint: Global fractional anisotropy of white matter of diffusion tensor imaging (DTI). Hypothesis: White matter damage is less severe in xenon treated patients, i.e. global fractional anisotropy is significantly higher in the xenon group than in the control group as assessed with the 1st magnetic resonance imaging (MRI). After confirmation of aSAH and obtaining a signed assent subjects will be randomized to the following groups: Control group: Standard of Care (SOC) group: Air/oxygen and Normothermia 36.5-37.5°C; Xenon group: Normothermia 36.5-37.5°C +Xenon inhalation in air/oxygen for 24 hours. Brain magnetic resonance imaging techniques will be undertaken to evaluate the effects of the intervention on white and grey matter damage and neuronal loss. Neurological outcome will be evaluated at 3, 12 and 24 months after onset of aSAH symptoms Investigational drug/treatment, dose and mode of administration: 50±2 % end tidal concentration of inhaled xenon in oxygen/air. Comparative drug(s)/placebo/treatment, dose and mode of administration: Standard of care treatment according to local and international consensus reports. Duration of treatment: 24 hours Assessments: Baseline data Information that characterizes the participant's condition prior to initiation of experimental treatment is obtained as soon as is clinically reasonable. These include participant demographics, medical history, vital signs, oxygen saturation, and concentration of oxygen administered. Acute data The collected information will contain quantitative and qualitative data of aSAH patients, as recommended by recent recommendations of the working group on subject characteristics, and including all relevant Common Data Elements (CDE) can be applied. Specific definitions, measurements tools, and references regarding each SAH CDE can be found on the weblink here: https://www.commondataelements.ninds.nih.gov/SAH.aspx#tab=Data_Standards.