View clinical trials related to Cardiac Arrest.
Filter by:Severe trauma, head trauma, stroke and resuscitated cardiac arrest patients requiring endotracheal intubation and mechanical ventilation are at high risk of early-onset ventilator-associated pneumonia (EO-VAP). A short course of systemic antibiotic is recommended for prophylaxis. This study intends to assess the safety and efficacy of 2 alternative mechanical non-invasive airway clearance techniques in the prevention of EO-VAP in an open label randomized pilot trial of 20 subjects per study group i.e., 60 cases. The interventions will be in place for 7 days and the observational periods will be 14 days.
Monitoring risks of cardiovascular diseases in working population (18 - 65 years old) by monitoring their BMI, ankle-brachial index with pulse wave velocity, cholesterol and glycemia.
This study will assess the feasibility of performing pre-hospital resuscitative endovascular balloon occlusion of the aorta (REBOA) as an adjunct to conventional Advanced Life Support (ALS) in patients suffering from non-traumatic out of hospital cardiac arrest (OHCA). As well as providing valuable insights into the technical feasibility of performing this procedure as part of a resuscitation attempt, the study will also document the beneficial physiological effects of REBOA in this group of patients.
Despite advances in post-resuscitation care of patients with cardiac arrest (CA), the majority of survivors who are treated after restoration of spontaneous circulation (ROSC) will have sequelae of hypoxic-ischemic brain injury ranging from mild cognitive impairment to a vegetative state. Early prognostication in comatose patients after ROSC remains challenging. Recent recommendations suggest carrying out clinical and paraclinical tests during the first 72 h after ROSC, to predict a poor neurological outcome with a specificity greater than 95% (no pupillary and corneal reflexes, bilaterally absent N20 somatosensory evoked potential wave, status myoclonus, highly malignant electroencephalography including suppressed background ± periodic discharges or burst-suppression, neuron-specific enolase (NSE) > 60 µg/L, a diffuse and extensive anoxic injury on brain CT/MRI), but with a low sensitivity due to frequent confounding factors. The heart rate variability (HRV) is a simple and non-invasive technique for assessing the autonomic nervous system function. In patients with a recent myocardial infarction, reduced HRV is associated with an increased risk for malignant arrhythmias or death. In neurology, reduced HRV is associated with a poor outcome in severe brain injury patients and allows to predict early neurological deterioration and recurrent ischemic stroke after acute ischemic stroke. A reduced HRV could be a sensitive, specific and early indicator of diffuse anoxic brain injury after CA. This multicenter prospective cohort study assesses the added value of early HRV (within 24h of ICU admission) for neuroprognostication after cardiac arrest.
In the course of prehospital respiratory and circulatory arrest, approximately 1000 persons are resuscitated by cardiopulmonary resuscitation in Upper Austria every year. Despite constant further development of methods, equipment and continuous training of the rescue and emergency medical teams working on site, the majority of patients who have to be resuscitated prehospital still die. However, even patients whose circulatory function can be restored during prehospital resuscitation (Return of Spontaneous Circulation, ROSC) require intensive medical care for days to weeks and often find it very difficult to return to a normal, independent life. The success of resuscitation measures depends on the quality of the resuscitation performed as well as on patient-specific factors. Evaluation scales such as the Cerebral Performance Category score (CPC) allow a posteriori assessment of resuscitation success. Nowadays, it is very difficult to estimate the outcome of resuscitation a priori. In many cases, it is not at all clear at the beginning of the treatment pathway whether the individual patient is expected to have an unfavorable prognosis in the context of respiratory arrest or whether a restitutio ad integrum is possible. Thus, the decision to continue or discontinue resuscitation can only be made on the basis of an individual physician's assessment. In addition to the primary concern of stopping resuscitation too early, there is also the risk that medical resources are used beyond the normal level after resuscitation without expecting a successful outcome. Estimating and categorizing the subsequent outcome is difficult and emotionally stressful for the treating team in the acute situation. Some factors that influence outcome are now known: As cerebral hypoperfusion increases, the probability of survival decreases sharply with each passing minute. In this context, potentially reversible causes have been identified in different works, allowing causal therapy to improve neurological outcome. In addition to the most important therapy bridging hypoperfusion, chest compression, with the aim of ensuring minimal perfusion of the brain, immediate defibrillation should be mentioned in particular, which now allows medical laypersons to use defibrillators as part of the Public Access Defibrillation Network. Despite all efforts, however, it is not yet possible to make reliable statements about the probable outcome of persons with respiratory and circulatory arrest with a high degree of certainty in a large number of cases at an early stage. Artificial intelligence refers to the ability of machines to perform cognitive tasks, such as recognizing objects in images and classifying them. For a long time, many processes were too complex to explore through sufficient computing power, storage capacity, and understanding. More recently, however, technological advances have brought machine learning (ML) and the constructs behind it, including those based on so-called neural networks (known since about 1950), back to the fore. Not only the development of theoretical models, but after extensive testing also devices applicable in daily routine operation are available. Modern machine learning methods are enabling a variety of new approaches to assessing operations, including modeling complex systems and finding relationships between models.
An out-of-hospital cardiac arrest is a sudden event where the heart stops beating and a person becomes unresponsive. During this event, vital organs in the body receive no blood flow, causing them to shut down. Without intervention to restart the heart, a person effectively dies. In the UK, around 60,000 people experience cardiac arrests each year, with most occurring at home. Despite prompt emergency service response, survival rates are typically low. There is technology available that has the potential to improve survival rates for out-of-hospital cardiac arrests. The intervention involves three devices used together: head-up position CPR (Elegard), active compression-decompression mechanical CPR (Lucas-3), and the Impedance Threshold device (Resqpod-16). When combined, these devices can enhance blood flow during resuscitation, potentially leading to improved initial resuscitation rates and higher rates of survival with normal brain function after a cardiac arrest. A pilot study is planned to test the feasibility of using these devices. The results will inform the design of a larger study to determine if this technology can indeed improve survival rates in out-of-hospital cardiac arrests.
Aerosol Generating Medical Procedures (AGMP) are procedures that have the potential to create tiny particles suspended in the air. These particles can contain germs such as viruses. The Coronavirus Disease 2019 (COVID-19) pandemic was caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Patients infected with SARS-CoV-2 experience unusually high rates of critical illness that needs advanced airway management and intensive care unit admission. Bag-valve-mask (BVM) ventilation, endotracheal Intubation (ETI) and chest compressions are sometimes required for critically ill COVID-19 patients, and may contribute to a high risk of infection amongst Health Care Workers (HCW). To lessen HCW risk during high-risk procedures, a device called an aerosol box has been developed to place over the head of the patient, shielding the provider's face from virus droplets suspended in the air. The purpose of this research study is to better understand how particles disperse during AGMPs, more specifically during the provision of cardiopulmonary resuscitation (CPR). The project team hopes what is learned from the project can help inform infection control measures. This could help make changes to the clinical environment and make it safer for HCW's. The investigators intend to explore how an aerosol box performs in reducing contamination of HCW's who perform critical airway interventions during resuscitation events.
The study will systematically evaluate how an emergency manual-a collection of checklists and fact sheets-affects the performance of resuscitation teams during the management of priority one patients in an emergency department.
Out-of-hospital cardiac arrest is a public health problem for which overall survival is below 10%. Post-cardiac arrest syndrome is the principal cause of death in intensive care units (ICU), due to refractory shock or brain injuries secondary to anoxia. Brain anoxia is responsible for severe neurological sequelae that may be aggravated by cerebral hypoperfusion during the first few hours after the return of spontaneous circulation. Current recommendations are to ensure that arterial blood pressure is sufficient for the perfusion of organs, but no minimum threshold mean arterial pressure (MAP) has been defined. In practice, most teams target a MAP of at least 65 mmHg. Several observational studies have shown a correlation between MAP and neurological prognosis, patients with a higher initial MAP having a better outcome. Recent pilot studies have demonstrated the feasibility of increasing the target MAP after cardiac arrest, but conflicting results have been obtained concerning patient prognosis. These findings may be explained by changes to the autoregulation of the brain after cardiac arrest, with a shift of the curve towards the right, or its abolition. Cerebral blood flow is dependent on MAP, and a target MAP of 65 mmHg for these patients may result in insufficient brain perfusion. Conversely, a too high MAP might cause brain lesions due to vasogenic edema, hemorrhagic complications or excess perfusion in conditions of diminished brain metabolism. An interventional study is required to evaluate the effect of increasing MAP on neurofunctional outcome after cardiac arrest. Given the data available for brain autoregulation, the correlation between MAP and prognosis, and the risks theoretically associated with a higher MAP, investigator plans to compare a standard threshold of MAP (≥ 65 mmHg) with a high threshold of MAP (≥ 90 mmHg). Investigator hypothesizes that a high MAP within the first 24 hours after cardiac arrest will improve neurofunctional outcome.
A cardiac arrest event has severe impact on the patient´s health-related quality of life. Survival of cardiac arrest does not innately translate to favorable quality of life. In particular, highly invasive resuscitation strategies, including extracorporeal cardio-pulmonary resuscitation (ECPR) due to therapy-refractory cardiac arrest, may have impact on long-term outcomes. Therefore, apart from acute medical treatment and physical rehabilitation, long-term effects on cardio-pulmonary, physical and neuro-psychiatric functions after cardiac arrest survival have to be evaluated and optimized. We plan to investigate a bundle of cardio-pulmonary, physical and neuro-psychiatric functions in patients who survived a therapy-refratory cardiac arrest with ECPR.