View clinical trials related to Out-of-hospital Cardiac Arrest.
Filter by:Out-of-hospital cardiac arrest without resumption of spontaneous circulatory activity despite advanced medical resuscitation is considered refractory. Under certain well-defined conditions, today in many cities around the world and particularly in Paris, it benefits from resuscitation called ECPR (extracorporeal cardiopulmonary resuscitation). This technique consists of the installation of an extracorporeal membrane oxygenation (ECMO) device allowing organ perfusion while waiting for a resumption of cardiac activity. Since 2011, the Paris SAMU (SAMU 75) has set up a team capable of implementing ECPR for refractory out-of-hospital cardiac arrests. This team based within the SAMU of Paris at the Necker hospital (ECMO team) composed of an emergency doctor or anesthesiologist-resuscitator, a nurse anesthetist and an ambulance driver intervenes in Paris and its nearby region at the request of medical regulation. Given the growing development of this activity, it is essential to measure its effectiveness in real-life conditions.
This study is a Phase 3, multi-center, Bayesian Adaptive Sequential Platform Trial testing the effectiveness of different prehospital airway management strategies in the care of critically ill children. Emergency Medical Services (EMS) agencies affiliated with the Pediatric Emergency Care Applied Research Network (PECARN) will participate in the trial. The study interventions are strategies of prehospital airway management: [BVM-only], [BVM followed by SGA] and [BVM followed by ETI]. The primary outcome is 30-day ICU-free survival. The trial will be organized and executed in two successive stages. In Stage I of the trial, EMS personnel will alternate between two strategies: [BVM-only] or [BVM followed by SGA]. The [winner of Stage I] will advance to Stage II based upon results of Bayesian interim analyses. In Stage II of the trial, EMS personnel will alternate between [BVM followed by ETI] vs. [Winner of Stage I].
Out-of-Hospital Cardiac Arrest remains a major public health problem, resulting in high mortality largely related to multiple organ failure and poor neurological outcomes due to brain anoxia. The pathophysiology of organ dysfunction after resuscitated out-of-hospital cardiac arrest involves ischemia-reperfusion processes. Remote ischemic conditioning is a therapeutic strategy used to protect organs against the detrimental effects of ischemia-reperfusion injury. The objective of the present trial is to determine whether remote ischemic conditioning performed early after out-of-hospital cardiac arrest can decrease mortality, or multiple organ failure and/or severe neurological failure.
The investigator's long-term goal is to conduct Naloxone for Opioid Associated out of Hospital Cardiac Arrest (NOPACA), a randomized, double blind, controlled trial to determine the efficacy of naloxone vs. placebo in Opioid Associated out of Hospital Cardiac Arrest. The investigative team plan to randomize patients in OHCA to early naloxone administration vs. placebo after initial resuscitation and measure ROSC and survival. Challenges to designing NOPACA include uncertainty regarding: 1) the available pool of participants and number of EMS agencies needed to meet enrollment targets; 2) acceptability among patients, EMS and Emergency Medicine provider stakeholders, and 3) estimates of the study outcomes needed for sample size estimates. Toward obtaining the necessary information to design NOPACA, the investigators propose a pilot RCT of participants at high risk for OA-OHCA to verify a reasonable recruitment rate; treatment fidelity and acceptability; and adequate retention and measurement of outcomes at follow up. The investigators propose incorporating hypothesis testing of the feasibility outcomes to determine progression to a definitive trial.
This project is a randomized controlled clinical research design, The hypothesis P-I-C-O of the study is: For adult patients in the Taipei City and New Taipei City communities who have suffered sudden non-traumatic death and have been resuscitated by advanced paramedics, the intervention group that receives combined drug treatment (epinephrine, vasopressin, methylprednisolone) has a better rate of sustained recovery of spontaneous circulation (ROSC) (primary outcome) and long-term survival status (secondary outcomes) compared to the control group that receives single drug treatment (epinephrine).
This pilot study aims to determine feasibility of randomising patients to receive pre-hospital Extracorporeal Cardiopulmonary Resuscitation (ECPR) compared to conventional cardiac arrest care for refractory out of hospital cardiac arrest (OHCA). The success of this study will be measured by the number of patients recruited into the study successfully treated with the treatment they were randomised to receive in the pre-Hospital setting.
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.
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.
The majority of survivors suffering an out-of-hospital cardiac arrest (OHCA) are those who initially present with a shockable rhythm, which is usually ventricular fibrillation (VF). When untreated, VF progresses to asystole over a short period of time so the percentage of those with a survivable rhythm also decreases with time. There is relatively little data exploring the initial rate of VF and the time course of its subsequent progression to a non-shockable rhythm. An understanding of this data will give a better picture of how potentially survivable rhythms (VF) change with time and guide the response times that are required to ensure arrival before VF deteriorates to asystole. The Investigators will use the UK OHCA outcomes database to examine the percentage of patients presenting with VF as the initial rhythm according to time since collapse in order to establish the rate at which VF deteriorates to asystole.