View clinical trials related to Heart Arrest.
Filter by:Sudden cardiac death is one of the main causes of morbidity and mortality worldwide. Cardiac arrest requires prompt intervention by cardiopulmonary resuscitation (CPR). The resuscitation guidelines are the current recommendations for CPR and are revised by expert panels such as the "European Resuscitation Council (ERC)". Up to now, a parameter for assessing the quality of CPR is missing and further monitoring methods are urgently needed. Near-infrared spectroscopy (NIRS) is a portable method for measuring regional oxygen levels in the brain. Recent clinical trials suggest that cerebral oxygenation measured by NIRS may correlate with survival and outcome after cardiac arrest. The investigators propose that NIRS technology may not only be suitable to determine or predict the outcome of the patients, but could also be a useful tool to guide the CPR providers to optimize the CPR techniques and guide the individual treatments/interventions. The present study was therefore designed to determine if NIRS guided CPR with the aim to optimize NIRS values is superior compared to the current standard practice according to published CPR guidelines (return of spontaneous circulation [ROSC] rate, short and long-term cerebral performance).
Cardiac arrest is the number one cause of death in Canada. It is often the first symptom of cardiac disease for the victims. Eighty-five percent of victims collapse in their own home. Fifty percent collapse in the presence of a family member. Bystander cardiopulmonary resuscitation (CPR) can improve the chance to survive a cardiac arrest by three to four times, but needs to be started quickly. In most communities, less than 30% of victims receive CPR before the ambulance arrives. Currently, only 8% of cardiac arrest victims can leave the hospital alive. Many things have been tried to improve the number of times people do CPR. So far, the only thing that really increased the number of times that someone did CPR is when 9-1-1 attendants started to give CPR instructions to callers over the phone. The only problem is that about 25% of cardiac arrest victims gasp for air in the first few minutes. This can fool the 9-1-1 callers and attendants into thinking that the victim is still alive. The investigators have looked at all the studies on how to help 9-1-1 attendants to recognize abnormal breathing over the phone. The investigators have also learned what should be taught after finishing a large survey with 9-1-1 attendants from across Canada. This survey was done with the help of psychologists and other education experts. It measured the impact of attitudes, social pressures, and 9-1-1 attendants' perceived control over their ability to recognize abnormal breathing and cardiac arrest. Then the investigators developed a teaching tool which helped Ottawa 9-1-1 attendants recognize abnormal breathing. When they could do that, they could also recognize more cardiac arrest. The main goal of this project is to use the tool developed in Ottawa in more centres to help 9-1-1 attendants save the lives of even more cardiac arrest victims across Canada.
The aim of ARREST is to determine the best post-resuscitation care pathway for out of hospital cardiac arrest patients without ST-segment elevation. The investigators propose that changes to emergency management comprising expedited delivery to a specialist heart attack centre with organised post-cardiac arrest care including immediate access to reperfusion therapy will reduce mortality in patients without STE compared to the current standard of care, which comprises protracted pre-hospital management of the patient without definitive care plan and delivery to geographically closest hospital.
To establish whether a pre-hospital advanced physician/ paramedic cardiac arrest team that is ECMO capable can establish ECMO flow within 30 minutes of collapse. The Sub30 study will investigate the technical and logistical feasibility of instituting pre-hospital Extracorporeal Cardiopulmonary Resuscitation (ECPR) within 30 minutes of collapse for selected patients (n=6) in a geographical sector of Greater London. It will achieve this through a unique collaboration between the primary emergency dispatch and response services (London Ambulance Service NHS Trust, LAS), pre-hospital practitioners (LAS and London Air Ambulance) and clinicians in ECMO (Barts Health NHS Trust).
Silesian Registry of Out-of-Hospital Cardiac Arrests (SIL-OHCA) which is an initiative of the Voivodeship Rescue Service in Katowice in cooperation with the Silesian Center for Heart Diseases in Zabrze is a prospective, population-based registry of out-of-hospital cardiac arrests (OHCA). The main aim of the SIL-OHCA is to asses the frequency of OHCA in the population of Upper Silesia and analyze prognostic factors for long-term survival in patients with OHCA.
Studies have shown that the risk of developing heart arrhythmias, is increased in patients receiving medication for Attention-deficit hyperactivity disorder (ADHD) and depression. The QT-interval on a electrocardiogram (ECG) is often used to assess the patients risk of developing heart arrhythmias. The QT-interval defines the hearts electrical resting period and a long interval is linked to an increased risk of developing heart arrhythmias. In this project the investigators wish to examine possible side-effects in patients receiving medication for ADHD and depression and their dynamic QT-interval changes, by analysing the ECG changes that occur during "Brisk Standing".
This study aims to examine the prognostic value of 18 channel amplitude-integrated EEG (aEEG) in comatose cardiac arrest patients The study design is a prospective observational study. Cardiac arrest patients undergoing targeted temperature management (TTM) will participate in the study. Relation of aEEG in each channel with the neurologic outcome at 6 month after return of spontaneous circulation (ROSC) will be evaluated.
The aim of the study is to determine prognostic value of plasma mitochondrial DNA and cytochrome C after cardiac arrest. The study will be conducted in three parts: 1. Determine plasma concentrations of mitochondrial DNA and cytochrome C in healthy population. 2. Determine release profile of mitochondrial DNA and cytochrome C to plasma after cardiac arrest. 3. Determine plasma prognostic value of mitochondrial DNA and cytochrome C after cardiac arrest and compare it with established prognostic methods.
Define the frequency and survival pattern of cardiac arrests in relation to the hospital day of event and etiology of arrest.
Serum uric acid level is a commonly measured biomarker. The association between serum uric acid level and the risk of developing cardiovascular diseases has been observed in some studies, while others showed controversial results. Estimation of this association may help to predict cardiovascular outcomes and may guide new treatment strategies. The hypothesis is that increased serum uric acid level is associated with a range of cardiovascular diseases.