Resuscitation
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We assessed the ability of the Out-of-Hospital Cardiac Arrest (OHCA) and the Cardiac Arrest Hospital Prognosis (CAHP) scores to predict neurological outcome following in-hospital cardiac arrest (IHCA). ⋯ In parallel with CAHP score, OHCA score could be used to early predict outcome at hospital discharge after IHCA. However, prediction accuracy for all scores remains modest, suggesting the use of other dedicated means to early predict IHCA patients' outcome.
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The large geographic variation in outcome after out-of-hospital cardiac arrest (OHCA) is not well explained by traditional patient and emergency medical services (EMS) characteristics. A 'culture of excellence' in resuscitation within an EMS is believed to be an important factor that influences quality of care and outcome in patients with OHCA. However, whether a culture of excellence is associated with improved survival after OHCA is not known. ⋯ An organizational goal to improve OHCA survival was independently associated with improved survival to discharge. EMS agencies looking to improve OHCA survival should consider implementing an organizational goal to improve OHCA survival and empower quality improvement personnel to drive that goal.
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The Abdominal Aortic and Junctional Tourniquet (AAJT) increased systemic vascular resistance, mean arterial pressure, carotid blood flow and rate of return of spontaneous circulation (ROSC) in animals with hypovolaemic traumatic cardiac arrest (TCA). The objective of this study was to report the first experience of the use of the AAJT as part of a pre-hospital TCA algorithm. ⋯ Physiological changes were demonstrated but there were no survivors. Further research focusing on faster application times may be associated with improved outcomes.
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Over the past decades, major changes have been made in basic life support (BLS) guidelines and manikin technology. The aim of this study was to develop a BLS evaluation tool based on international expert consensus and contemporary validation to enable more valid comparison of research on BLS educational interventions. ⋯ An expert panel agreed on a three-levelled score to assess BLS skills and the included items. Expert panel consensus concluded that the tool serves its purpose and can act to guide improved research comparison on BLS educational interventions.
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Submersion time is a strong predictor for death in drowning, already 10 min after submersion, survival is poor. Traditional search efforts are time-consuming and demand a large number of rescuers and resources. We aim to investigate the feasibility and effectiveness of using drones combined with an online machine learning (ML) model for automated recognition of simulated drowning victims. ⋯ The use of a drone and a ML model was feasible and showed satisfying effectiveness in identifying a submerged static human simulating drowning in open water and favorable environmental conditions. The ML algorithm and methodology should be further optimized, again tested and validated in a real-life clinical study.