Active clinical trials for "Heart Arrest"

This study investigates the relationship between optic nerve sheath diameter and increased intracranial pressure and its effect on neurologic outcome in post-cardiopulmonary arrest patients.

This multicenter study will validate a panel of serum, imaging, and clinical biomarkers to classify patient outcome early after out-of-hospital pediatric cardiac arrest. Results are expected to have a positive and immediate impact in advancing clinical care and outcomes for these children. This work will provide clinicians, families, and researchers with superior tools to assess the severity of brain injury early after resuscitation in order to know who is at risk of brain injury and may benefit from neuroprotective interventions, to monitor response to these interventions, to plan rehabilitation strategy, and to optimize the design of research studies that test novel interventions to improve neurological outcome after cardiac arrest.

High fidelity Simulation has spread from anesthesiology to other disciplines such as internal medicine, pediatrics, and emergency medicine . Over the past decade, the use of simulation in medical education has increased exponentially. The term ''simulation'' spans a wide variety of formats, from the low-tech actor portraying a standardized patient to high-fidelity mannequin-based human patient simulation (HPS). HPS is able of both simulating realistic patient encounters and giving real-time, physiologically accurate feedback. Studies thus far show that use of simulation in training medical students and residents is helpful in strengthening students' knowledge and in evaluating their performance. Students appreciate simulation-based education as ''an opportunity to learn new skills in a safe environment .

Cardiac Arrest is among the leading causes of death, with survival still well under 50% and the majority of the survivors suffering from moderate to severe neurologic deficits. The human, social and economic costs are staggering. During resuscitation, damage is mitigated if chest compressions and other medical care are optimal, allowing some blood to reach the brain and some oxygen to reach the cells. Once the heart starts beating again, which is called return of spontaneous circulation, brain perfusion is reestablished, but usually not to normal. The now damaged brain is very fragile, can be sensitive to any changes in blood pressure or metabolic abnormalities, and swelling might set in. Hypoperfusion can persist, without the clinician's knowledge. All of these events further damage the brain and diminish the odds that the patient will regain a normal life. Therefore, the hours following return to spontaneous circulation are critical to the patient's future recovery, and constitute a window of opportunity to maximize the brain ability to heal. In order to optimize resuscitative efforts and post-arrest management, clinicians must know what is actually happening with the most vital organ, the brain. The problem is that it is very difficult to do in a comatose patient. The available technologies only reveal indirect evidence of brain suffering, like the swelling on CT-scans, but not to continuously evaluate at the bedside if the brain actually receives enough blood. The FDA recently approved a device named the c-flow, made by ORNIM. This device looks at red blood cells in the brain and the speed at which they move to evaluate an index of cerebral perfusion. It does so with sensors put on the patient's forehead, which emit and detect ultrasounds and infrared light. This index can inform the clinician about the amount of blood flow the brain receives, and it can be put in place very quickly, even during resuscitative efforts, and without any danger for the patient. The study looks at how well the information obtained with the c-flow matches the one obtained from other indirect indices and, more importantly, how well it predicts patient outcome. The investigators wish to establish threshold values of this index of perfusion that predict a good recovery so that this information may be used to optimize patient's neurological outcome in the near future.

Cardiac arrest remains a leading cause of death, currently affecting >250,000 Europeans outside the hospital each year. Manual cardiopulmonary resuscitation (CPR) provides between 15 to 30 % of normal blood flow to the heart and brain. For out-of-hospital cardiac arrest, the return of spontaneous circulation (ROSC) is possible only for 20-40% of patients with trained resuscitation teams. However, only 5-10% of patients will survive with good neurological status. A good quality CPR, a short time before initiation of the resuscitation and a short delay before the first defibrillation have been associated with improved neurological outcome. Unfortunately it is currently impossible to obtain reliable information on the quality of the perfusion and oxygenation of organs during CPR. The current monitoring during CPR is limited to heart rhythm analysis, pulse rate evaluation and end tidal CO2 (EtCO2). The last one is the only parameter which have been linked with probability of ROSC and its value gives no indication of the long-term prognosis nor the neurological status. Cerebral spectroscopy (near-infrared spectroscopy - NIRS) allows to measure with a noninvasive method the local oxygen saturation of the prefrontal cortex (rSO2), reflecting the balance between need and supply of brain oxygenation. This technique has been recently used in cardiac arrest showing a possible association between rSO2 measured during CPR and the occurrence of ROSC or survival. The quantitative measurement of the pupillary light reaction has been described to predict neurological outcome in the hospital for patient successfully reanimated after out-of-hospital cardiac arrest (OHCA). Recently, a feasibility study has shown that its use was also possible during CPR in the pre-hospital setting. The investigators aim to study a composite prognostic factor combining quantitative rSO2 and automated pupillometry measured during CPR. The investigators hypothesized that the rate of survival with good neurologic outcome at 30 days will be lower in patients with rSO2 <30% for more than 5 min and an absent pupillary reflex more than 5 min or decreasing during CPR .

The aim of the study is to identify prognostication predictors of 6-months neurological outcome in survivors at day 3 after cardiac arrest (CA) treated with therapeutic hypothermia (TH).

The aim of this study was to analyse a large CPR database, the German Resuscitation Registry, to evaluate potential benefits of mechanical CPR devices over manual CPR in adult cardiac arrest victims. The primary endpoint considered is ROSC.

Descriptive and prognosis study of the functional outcome after cardiac arrest for the patients awake within the first 15 days.

The purpose of this study is based on method Utstein, registering all recommended items of that model, in addition to adding more information, characterizing this way using a template Utstein modified for the epidemiology of PCR-hospital in Brazil. Objectives: establish a registry of patients suffering from respiratory (PCR)-hospital to assess demographic and clinical variables such as morbidity, mortality and standard practice in cardiopulmonary resuscitation (CPR). In addition, assess independent predictors associated with survival in several times and survival curves.

Compare the quality performance of rescuers and resuscitation outcomes of cardiac arrest patients in both groups with and without capnography feedback