View clinical trials related to Infarction.
Filter by:After an episode of acute ischemic syndrome, patients with concomitant peripheral arterial disease have a worse short- and long-term prognosis compared to patients with isolated coronary disease, but the mechanisms responsible are poorly understood. In this population, the presence of high platelet aggregability despite the use of antiplatelet drugs is related to a greater risk of future complications, including heart attack and death from all causes. Thus, the main objective of the present project is to evaluate the role of platelet aggregability, analyzed by optical aggregometry using the AggRAM® equipment, in patients with a history of previous acute myocardial infarction with and without the presence of peripheral arterial disease. Among the secondary objectives, it is worth analyzing platelet aggregability, in both groups, using the Plateletworks® method. This is a case-control study, with groups differentiated by the presence or absence of peripheral arterial disease, matched by sex and age. It is expected that, in the end, relevant aspects related to platelet aggregation will be better characterized in this high cardiovascular risk population, with a likely impact on new therapeutic strategies that can positively influence the morbidity and mortality of these patients.
Patients with acute myocardial infarction were enrolled retrospectively. The fractional flow reserve (AccuFFR) and microcirculatory resistance index (AccuIMR) based on coronary angiography were analyzed, and the relationship between FFR and IMR and the prognosis of patients with acute myocardial infarction was analyzed
Evaluate the effectiveness of Yangxue Qingnao Granules in preventing post thrombolytic hemorrhage transformation in patients with acute cerebral infarction, and explore its possible mechanism
Using national health insurance service database, current study aim to evaluate the risk and prognosis of acute myocardial infarction in cancer patients and to find the optimal treatment strategy for acute myocardial infarction that can improve long-term prognosis.
To determine the clinical effectiveness of hypothermia treatment in patients with out-of-hospital cardiac arrest complicating acute myocardial infarction.
This project is intended to collect data using standard clinical tests and psychophysics to quantify the effect of visual cortical damage on the structure of the residual visual system, visual perception, spatial awareness, and brain function. The investigators will also assess the effect of intensive visual retraining on the residual visual system, processing of visual information and the use of such information in real-world situations following damage. This research is intended to improve our understanding of the consequences of permanent visual system damage in humans, of methods that can be used to reverse visual loss, and of brain mechanisms by which visual recovery is achieved.
Acute myocardial infarction (AMI) is one of the most important diseases threatening human life. The existing MI prognosis prediction scales mostly predict the incidence of death, recurrent MI and heart failure through 6-8 clinical text indicators, and the data are collected relatively simply. Myocardial remodeling, as an adverse pathological change that can start and continue to progress in the early stage after myocardial infarction, is the main pathological mechanism of heart failure and death. However, there is no quantitative early-warning model of myocardial remodeling, and the clinical guidance of early intervention is lacking. Our previous study found that cardiac magnetic resonance imaging can accurately quantify the necrotic area and recoverable myocardium in the edematous myocardium after myocardial infarction. In this study, machine learning algorithm, variable convolution network (DCN) and capsule network (capsnet) are used to build a new neural network architecture. Structural feature extraction of multi-modal clinical image data such as MRI and ultrasound is realized. Combined with the established database of 3000 patients with myocardial infarction, the multimodal feature matrix will be constructed, and a variety of classifiers such as support vector machine (SVM) and random forest (RF) will be used for quantitative prediction of myocardial remodeling, and the effects of different classifiers were evaluated. It is expected that this project will establish a quantitative early warning model of myocardial remodeling after acute myocardial infarction in line with the characteristics of Chinese people. The same type of data outside the database will be used for verification to establish an efficient and stable early warning model.
This study has been added as a sub study to the Simulation Training for Emergency Department Imaging 2 study (ClinicalTrials.gov ID NCT05427838). The purpose of the study is to assess the impact of an Artificial Intelligence (AI) tool called qER 2.0 EU on the performance of readers, including general radiologists, emergency medicine clinicians, and radiographers, in interpreting non-contrast CT head scans. The study aims to evaluate the changes in accuracy, review time, and diagnostic confidence when using the AI tool. It also seeks to provide evidence on the diagnostic performance of the AI tool and its potential to improve efficiency and patient care in the context of the National Health Service (NHS). The study will use a dataset of 150 CT head scans, including both control cases and abnormal cases with specific abnormalities. The results of this study will inform larger follow-up studies in real-life Emergency Department (ED) settings.
This study was performed as a randomized controlled a study with a pre test-post test design, aimed to determine affect of reflexology masagge to the pain, anxiety and comfort level on the patients that are percutaneous coronary intervention.
A 6-month pilot randomized controlled trial designed to test the effect of the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) Diet + usual medical care versus usual medical care on the rate of cognitive change and several other secondary outcomes through a randomized controlled trial in 60 mild stroke patients aged 35-70 years without dementia.