View clinical trials related to Acute Myocardial Infarction.
Filter by:The goal of this observational study is to compare the image differences between conventional ultrasound and artificial intelligence-based ultrasound software in conscious adults. The main question it aims to answer is to evaluate the effectiveness by determining that the new image analysis method is considered valid if it helps to identify more than 30% of histological characteristics. Participants will undergo the examination using the two methods mentioned earlier after signing the consent form.
The CERAMICS study is designed to more clearly delineate the current care of acute myocardial infarction with cardiogenic shock (AMICS) patients who are treated with mechanical circulatory support (MCS) devices in the United States with significant experience in MCS, all of whom have the capability of MCS escalation on-site. Study enrollment is targeted at 120 patients at 20 hospital sites, evaluating clinical outcomes, and focusing on outcomes MCS escalation decision making and ICU level management.
The goal of this international multicenter study is to develop a scoring system to identify the risk of developing cardiogenic shock (CS) in patients suffering from acute coronary syndrome (ACS) utilising artificial intelligence. Study hypothesis: A complex machine learning (ML) model utilising standard patient's admission data predicts the development of cardiogenic shock in patients suffering from acute myocardial infarction better than standard prediction models. Study objectives: The primary objective of this study is to further improve predictive parameters of #STOPSHOCK model for prediction of development of cardiogenic shock in patients suffering from acute myocardial infarction. The secondary objective of this study is to develop a new predictive model for the development of cardiogenic shock in patients suffering from acute myocardial infarction based on larger combined cohort of patients utilising advanced ML algorithms, continuous model performance monitoring and continual learning.
This international, multicenter cohort study aims to investigate outcomes after treatment with extracorporeal cardiopulmonary resuscitation (eCPR) during cardiac arrest.
Being born small increases your risk of developing Type 2 diabetes (T2D) with age. Furthermore, data even suggest that some of the diseases ("complications") in the eyes, kidneys, nerves, liver, blood vessels and heart often seen in T2D patients may not only be due to high blood sugar levels, but rather they to some extent are due to reduced growth in your mother´s womb. The Inter99 cohort included 6784 Danish citizens aged 30 to 60 years when established 20 years ago. Data from the Inter99 cohort showed a strong role of low birth weight (LBW) on T2D risk. The aim is now to reexamine risk of T2D and complications in all the alive 6004 elderly Inter99 participants. Importantly, today there are available techniques to perform detailed examinations for even the earliest signs of complications in both subjects with and without diabetes, and the results of this study will altogether provide important new insights into both the origin and classification of T2D and associated complications. It is hypothesized that being born with lower birth weights increases the adult risk of T2D and heart disease and associated complications in the large and smaller blood vessels.
This study will randomize patients recently discharged from the hospital with a confirmed diagnosis of type 1 acute myocardial infarction (Thygesen et al. 2018) and having additional cardiovascular risk factors.
This retrospective observation is to investigate the incidence,clinical outcomes and prognosis of hospitalized heart failure with preserved ejection fraction (HFpEF) in patients with acute myocardial infarction(AMI).
Coronary Computed Tomography Angiogram (CCTA) is a non-invasive imaging modality that has high sensitivity and negative predictive value for the detection of coronary artery disease (CAD). The main limitations of CCTA are its poor specificity and positive predictive value, as well as its inherent lack of physiologically relevant data on hemodynamic significance of coronary stenosis, a data that is provided either by non-invasive stress tests such as myocardial perfusion imaging (MPI) or invasively by measurement of the Fractional Flow Reserve (FFR). Recent advances in computational fluid dynamic techniques applied to standard CCTA are now emerging as powerful tools for virtual measurement of FFR from CCTA imaging (CT-FFR). These techniques correlate well with invasively measured FFR [1-4]. The primary purpose of this study is to evaluate the incremental benefit CT-FFR as compared to CCTA in triaging chest pain patients in emergency settings who are found to have obstructive CAD upon CCTA (generally >= 30% stenosis). Invasive FFR and short term clinical outcomes (90 days) will be correlated with each diagnostic modality in order to evaluate positive and negative predictive value of each. Patients will undergo a CCTA, as part of routine emergency care. If the patient consents to participate in the study, the CCTA study will be assessed by Toshiba Software, to provide a computerized FFR reading, based on the CCTA study. If the noninvasive FFR diagnosis indicates obstructive disease, the patient will undergo cardiac catheterization with invasive FFR. As CCTA utilization increases, the need to train additional imaging specialists will increase. This study will assess the capability of FFR-CT to enhance performance on both negative and positive predictive value for less experienced readers by providing feedback based on CT-FFR evaluation. If the use of CT-FFR improves accuracy of CCTA, as compared to the gold standard, (Invasive FFR), use of CT-FFR can potentially enhance performance for less experienced readers.
The aim of this study is to investigate whether or not short-term expose to air pollution is associated with in-hospital outcomes, such as mortality and morbidity.
The aim of this study is to investigate the potential novel risk factors for acute myocardial infarction. Predictors of poor outcomes will be also evaluated.