View clinical trials related to Ventricular Dysfunction, Left.
Filter by:We conducted an observation sub-study of the prospective randomized controlled trial "High Dose Inhaled Nitric Oxide in Acute Hypoxemic Respiratory Failure", in which we analysed the echocardiographic data collected both at baseline when patients where included and 3-5 days later for followup.
The goal of this observational study is to evaluate cardiac and vascular health status of pediatric cancer survivors.
The purpose of this research is to test a software tool called the "Chang Gung" Ventricular Systolic Dysfunction screening software, which uses a 12-lead electrocardiogram to determine if a patient has left ventricular systolic dysfunction. The goal is to determine if the software can accurately identify patients with this condition, which would help doctors diagnose and treat it more effectively. The trial will involve using the software on patients and comparing its results to those obtained through echocardiograms, which are currently the gold standard for diagnosing left ventricular systolic dysfunction. Only patients who meet specific eligibility criteria will be able to participate in the trial, and the software will be administered by trained healthcare professionals. The study will help determine if the software is a useful tool for diagnosing left ventricular systolic dysfunction, which could lead to earlier diagnosis and better outcomes for patients. The research team will collect and analyze data on the accuracy of the software and its usability in clinical practice. Overall, this study will provide important information for doctors and patients about a new tool for diagnosing left ventricular systolic dysfunction.
The objective of this study is to assess the effects of intrathecal local anesthetics on left ventricular global longitudinal strain (LVGLS) using transthoracic echocardiography (TTE).
Left ventricular ejection fraction (LVEF) is one of the strongest predictors of mortality and morbidity in patients with acute coronary syndrome (ACS). Transthoracic echocardiography (TTE) remains the gold standard for LVEF measurement. Currently, LVEF can be estimated at the time of the coronary angiogram but requires a ventriculography. This latter is performed at the price of an increased amount of contrast media injected and puts the patients at risk for mechanical complications, ventricular arrhythmia or atrio-ventricular blocks. Artificial intelligence (AI) has previously been shown to be an accurate method for determining LVEF using different data sources. Fur the purpose of this study, we aim at validating prospectively an AI algorithm, called CathEF, for the prediction of real-time LVEF (AI-LVEF) compared to TTE-LVEF and ventriculography in patients undergoing coronary angiogram for ACS.
The purpose of this research is to prospectively test and validate the single-lead Low EF algorithm in outpatients in order to test the performance of a single-lead ECG based algorithm to identify people with decreased left ventricular EF.
The purpose of this research is to prospectively test and validate the single-lead Low EF algorithm in outpatients in order to test the performance of a single-lead ECG based algorithm to identify people with decreased left ventricular EF.
The changes of left ventricular function in patients with sleep apnea were studied by three-dimensional speckle-tracking echocardiography to evaluate the changes of left ventricular function after CPAP treatment
To demonstrate that home-based exercise rehabilitation (HER) compared to usual care (UC) results in a significant reduction in healthcare utilization in HeartMate 3 (HM3) left ventricular assist device (LVAD) patients.(defined as rehospitalization, VAD Clinic visits, and ER visits during the 1st year after index discharge following LVAD implantation).
The purpose of this study is to evaluate how Eko AI performs in the real world, front-line setting where the availability of sophisticated, expensive diagnostic tools is limited, and where there is a premium on detecting VHD early in its course.