Resuscitation
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The aim of this study was to develop a score to predict the outcome for patients brought to hospital following out-of-hospital cardiac arrest (OHCA). ⋯ The CaRdiac Arrest Survival Score (CRASS) represents a tool for calculating the probability of survival with good neurological function for patients brought to hospital following OHCA.
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The Good Outcome Following Attempted Resuscitation (GO-FAR) Score uses pre-arrest factors to predict survival after In-Hospital Cardiac Arrest (IHCA) with minimal neurological dysfunction, (cerebral performance category (CPC) ≤1). Moderate neurological dysfunction (CPC ≤2) may be a more acceptable outcome. ⋯ The GO FAR 2 score provides clinicians with a prognostic estimate of the likelihood of a good outcome after IHCA based on pre-arrest patient factors. Future research is required to validate the GO-FAR 2 score.
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Coronary heart disease (CHD) is a leading cause of death globally, commonly through sudden cardiac death. Cardiac arrest of cardiac origin (CA) is associated with a poor prognosis and there is a great need for risk assessment and intensified preventive actions. In this study we aim to assess if a genetic risk score for CHD, composed of 50 common CHD susceptibility variants (GRS), predicts CA and to evaluate a novel composite risk score including traditional risk factors as well as GRS. ⋯ Genetic risk of CHD is strongly associated with incident CA and when combined with traditional CHD risk factors may identify individuals who benefit from intensified preventive pharmacological treatment.
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Although out-of-hospital cardiac arrest (OHCA) is a major cause of global mortality, survival rates have increased over the last decade. As such, there is an increasing need to explore long-term functional outcomes of survivors, such as return to work (RTW). ⋯ This is the largest study to collectively examine factors associated with RTW among survivors of OHCA. Although larger qualitative studies are needed, our findings highlight which patients are at risk of not RTW and who may benefit from targeted rehabilitation strategies.
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Accuracy of Automatic Geolocalization of Smartphone Location during Emergency Calls - a Pilot Study.
Widespread use of smartphones allows automatic geolocalization (i.e., transmission of location data) in countless apps. Until now, this technology has not been routinely used in connection with an emergency call in which location data play a decisive role This study evaluated a new software automatically providing emergency medical service (EMS) dispatchers with a caller's geolocation. We hypothesized that this technology will provide higher accuracy, faster dispatching of EMS and a faster beginning of thoracic compressions in a cardiac arrest scenario. ⋯ This pilot study showed that automatic geolocalization leads to a significantly shorter duration of the emergency call, significantly shorter times until the beginning of thoracic compressions, and a higher precision in determining the location of an emergency.