View clinical trials related to Heart Arrest.
Filter by:This study aims to optimize the treatment of out-of-hospital cardiac arrest (OHCA) by focusing on neurological outcomes through Bispectral Index (BIS) monitoring. It will evaluate the feasibility of BIS monitoring in the prehospital phase, assess the need for sedation based on BIS values, and examine the timing of interventions in ICU (intensive care unit) settings to identify irreversible Hypoxic-Ischemic Brain Injury (HIBI).
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.
In order to monitor and improve cardiopulmonary resuscitation(CPR) quality, there is need for tools that provide real time feedback to responders. The use of invasive arterial pressure monitoring and end tidal carbon dioxide (ETCO2) as quality measures of CPR. Invasive pressure measurements are timeconsuming and cumbersome in resuscitation situations, and are very rarely practical. ETCO2 measurements require presence of a capnometer with an advanced airway. High quality chest compression will result inETCO2 between 2-2.5KPa. A rapid increase in ETCO2 on waveform capnography may enable ROSC to be detected while continuing chest compression and can be used as a tool to withhold the next dose of bolus adrenaline injection. Pulse oximetry, which noninvasively detects the blood flow of peripheral tissue, has achieved widespread clinical use. It was noticed that the pulse waveform frequency can reflect the rate and interruption time of chest compression(CC) during cardiopulmonary resuscitation(CPR). The perfusion index (PI) is obtained from pulse oximetry and is computed as the ratio of the pulsatile (alternating current) signal to the non-pulsatile (direct current) signal of infra-red light, expressed as a percentage;PI =ACIR/DCIR∗100% (i.e. AC = pulsatile component of the signal, DC = non-pulsatile component of the signal, IR = infrared light). PI shows the perfusion status of the tissue in the applied area for an instant and a certain time interval. The PI value ranges from 0.02% (very weak) to 20% (strong).Peripheral PI has been proposed for different clinical uses with some applications in critical patients. The purpose of this study is to evaluate the role of pulse-oximeter derived perfusion index for high quality CPR and as aprognostication tool of ROSC during in-hospital cardiac arrest in comparison to ETCO2 reading.
The goal of this randomized controlled trial is to compare prehospital ventilation strategies in out-of-hospital cardiac arrest. The intervention group is automatic ventilation and the control group is manual ventilation. The main questions it aims to answer are: 1. How does automatic ventilation affect OHCA patients' survival and prognosis comparing to manual ventilation. 2. What are the differences on resuscitation qualities between automatic ventilation and manual ventilation.
The objective of this study is to estimate the feasibility and safety of early weaning from ICU treatment in patients after cardiac arrest and an early (< 12 h) favourable EEG pattern (indicating no or mild postanoxic encephalopathy).
The goal of this study is to test the feasibility and acceptability of an informational website to reduce uncertainty, psychological distress, and caregiver burden among close family members of cardiac arrest patients. The investigators hypothesize that participants who receive access to the website will have lower rates of uncertainty, psychological distress, and caregiver burden at 3 months post-hospital discharge compared to participants who receive usual care.
Extra-hospital cardiac arrest is a major public health problem, with approximately 46,000 cases per year. Nearly 71% of the patients for whom resuscitation was initiated did not present a return of spontaneous circulation on scene and only 29% were transported alive to the hospital. In this context, extracorporeal cardiopulmonary resuscitation (ECPR) by veno-arterial extracorporeal membrane oxygenation has been developed as a second line of treatment according to the latest international guidelines. The selection of eligible patients as well as the timing of initiation of ECPR has long been controversial, but expert recommendations have recently been published. After an out-of-hospital cardiac arrest of cardiological cause, an early ventricular dysfunction has been previously described, more particularly in hemodynamically unstable patients. This dysfunction was associated with greater early in-hospital mortality. There are few data on the medium-term course of left ventricular dysfunction and the largest study addressing this question showed that the severity of left ventricular involvement was associated with greater long-term morbidity and mortality. However, it also found that left ventricular ejection fraction was partially reversible in 29% of the study population. It seems so far, the medium-term evolution of left heart dysfunction had not been described in the context of refractory extra-hospital cardiac arrest treated by ECPR. However, these patients are particularly severe, hemodynamically unstable and potentially at risk of developing long-term sequelae.
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.
The investigators propose a multicenter randomized controlled trial in South Korea and Taiwan to observe the clinical effects of REBOA on nontraumatic out-of-hospital-cardiac-arrest (OHCA) patients. While REBOA has been traditionally used in trauma for hemorrhage control, it has also shown promising results in nontraumatic cardiac arrests by rerouting circulation to increase perfusion in the coronary and brain.
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.