Resuscitation
-
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.
-
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.
-
Critically ill patients in intensive care units can frequently suffer from cardiac arrest (ICU-CA), the incidence of ICU-CA is associated with high mortality. Most studies on ICU-CA focused on risk factors and intra-arrest determinants. However, there is a lack of data on organ failure after ICU-CA and its clinical implications for outcome. This study aimed to investigate ICU-CA incidence, outcome and the occurrence of organ failure after ICU-CA. ⋯ The incidence of ICU-CA is rare in critically ill patients. Organ failure before and after ICU-CA is common; liver failure incidence and severity of illness after ICU-CA are independent predictors of mortality and should be considered in further decisions on ICU therapy.