Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin
Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)
Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies
Rearrest may reduce the likelihood of survival when compared to patients who have had just one episode of cardiac arrest. Overall resuscitation rates have been estimated to be about 34%, however survival to hospital discharge rates are as low as 7%. This phenomenon may be contributed to rearrest.
A recent study by Salcido et al. (2010) ascertained rearrest in all initial and rearrest rhythms treated by any level of Emergency Medical Service (EMS), finding a rearrest rate of 36% and a lower but not significantly different rate of survival to hospital discharge in cases with rearrest compared to those without rearrest.