View clinical trials related to Infarction.
Filter by:Cardiac troponins are highly sensitive and specific biomarkers of cardiac injury and are in a key role in the diagnosis of acute myocardial infarction (MI). Minor troponin elevations are common after prolonged strenuous exercise without clinical symptoms of MI or myocardial injury. Importantly, currently used high-sensitivity troponin T (cTnT) test detects also smaller troponin fragments which may cause troponin elevation after exercise and lead to false diagnosis of MI. In the present study protocol, we compare the characteristics troponin release after marathon race and Type 1 MI with the improved version of our novel troponin fragmentation test (SuperTropo test) and the commercial cTnT test. A total of 65 recreational runners participating in the 2023 Paavo Nurmi Marathon in Turku are recruited. All participants give a blood sample during the post-race visit (within 30 min after finishing the marathon). A control group of 90 patients with acute Type 1 MI are recruited among patients admitted to Heart Centre of Turku University Hospital. Commercial cTnT and long troponin component of cTnT analyzed witha novel immunoassay are dtermined in all subjects to assess cTnT fragmentation. TYhe main aims of the study are: To assess how often cTnT is elevated after marathon running and which factors affect the cTnT rise? Is the fragmentation of troponin more common after marathon race compared with Type 1 MI and can the novel Supertropo test separate execise-induced troponin rise from those caused by MI ?
The goal of this monocentric observationnal study is to describe the characteristics of the myocardial infarction scar in terms of transmurality in residual LVEF>35% patients. The primary objective is to determine the frequency of the criterion "intramural scar ≥1.47cm2" (measured by MRI) in patients who presented with myocardial infarction with residual LVEF≥35%.
Introduction: Positive psychological's constructs have shown a direct effect on adherence to pharmacological treatment, diet, physical activity and general commitment to health, in the same way that negative ones, such as depression, anxiety and stress, are associated with worse cardiovascular outcomes and are prevalent in patients with infarction. Objective: To verify whether a gratitude intervention can improve self-care and improve negative psychological states in patients with recent myocardial infarction. Methods: Randomized, parallel clinical trial. The inclusion criteria will be patients with ST-segment elevation myocardial infarction (STEMI) with less than 12 hours of evolution and undergoing primary percutaneous coronary intervention (pPCI). Participants will respond to the socio-demographic and risk factors questionnaire and self-care (ASA-A), anxiety, depression and stress (DASS-21) and gratitude (QG-6) scales. They will be drawn into the gratitude intervention group or neutral events group according to the randomization list. Patients in the intervention group will be tasked with writing down 3 to 5 situations a day for which they are grateful, for 14 days. Patients in the control group will be asked to write down 3 to 5 situations a day that have impacted them, whether good or bad. Both groups will be reassessed after the intervention and after 6 months. Expected results: It is expected that the intervention group will improve self-care and the feeling of gratitude, modify behaviors and decrease negative affects, while the group without intervention will remain unchanged from the beginning of the study to 6 months.
The goal of this open-label cluster-randomized effectiveness-implementation hybrid trial is to study whether a) audit and feedback of cardiac rehabilitation service delivery within a national quality registry and b) structured implementation support can improve center-level adherence to guidelines and short and long-term patient-level outcomes.
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.
Acute myocardial infarction (AMI) is the first cardiovascular cause of death that seriously threatens human health worldwide. Its incidence rate and mortality are increasing year by year and becoming younger. According to statistics, the average age of men and women with AMI for the first time is 65.6 years old and 72 years old respectively, of which 4%~10% AMI occurred before 45 years old. At present, there is no uniform age threshold for young AMI. Generally speaking, AMI with onset age less than 55 years for men and 65 years for women is called early-onset AMI, accounting for 5%~13% of AMI. Compared with elderly patients with AMI, patients with early onset AMI have different risk factors, clinical characteristics and prognosis, such as lower proportion of patients with diabetes and hypertension, more single vessel lesions and rare left main artery involvement, and higher long-term recurrence rate and mortality. Although the progress of preventive measures and treatment methods has reduced the hospitalization rate of elderly AMI patients, the number of young AMI patients in hospital is still rising. Therefore, in-depth analysis of the characteristics of risk factors of early onset AMI and early intervention are of great significance to reduce the risk of onset and improve long-term prognosis. Hyperlipidemia is an independent risk factor for coronary heart disease at all ages, and is more closely related to early onset AMI. It is reported that more than 50% of early onset AMI patients are accompanied by hyperlipidemia. However, at present, the research on the relationship between blood lipids and early onset AMI is limited to the comparison of the level of single lipid component between early onset AMI and different control groups, or the comparative analysis of the relationship between a specific lipid component and the risk of early onset AMI with young healthy people. There is no research to compare the correlation between various lipid components and the risk of early onset AMI. Therefore, this study plans to deeply analyze the correlation between different blood lipid components and their ratios and early onset AMI, and further analyze which blood lipid indicators are most closely related to early onset AMI through large sample clinical research data, taking late onset AMI patients as the control, which should be paid early attention to and strictly managed.
The goal of this clinical trial is to test reducing procedure time of percutaneous coronary intervention (PCI) in ST elevation myocardial infarction by single catheter PCI (SC-PCI) method. The main question it aims to answer is: • [question 1] SC-PCI method is skipping catheter exchange with use of a right and left dual purpose universal guiding catheter Ikari Left curve. Does SC-PCI method reduce PCI procedure time? Participants will be randomly assigned to SC-PCI method or conventional method and emergency PCI is performed. Researchers will compare time from sheath insertion to first device activation between the SC-PCI method and the conventional method.
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 is a prospective observational study of consecutive patients presenting with STEMI to the Prince of Wales Hospital over a 12-month period. All patients will receive standard of care including reperfusion and GDMT irrespective of study enrolment. Patient will be followed for 9 months after enrolled in this study. Point-of-care ultrasound (POCUS) using a hand-held ultrasound (Vscan, GE Healthcare) will be performed to assess baseline LVEF within 48 hours of admission. Patients with baseline moderate-to-severe LV dysfunction by visual POCUS assessment (i.e. LVEF <40%) will be recruited for follow-up LVEF assessment at 3 months. Patients with persistent LVEF <40% by POCUS will undergo formal echocardiography to confirm LVEF by either 2D area (Simpson's rule) and 3D volumetric measurements. In 9 month visit, patient's clinical data will be collected and no echo is needed during this visit.