S6 Free Paper Sessions (FPS) / Resuscitation 155 (2020) S4–S21 FPS5 Long-term evolution of kidney graft donation procedures in uncontrolled donors after cardiac death in the community of Madrid Alonso Mateos Rodriguez 1,2,* , Juan I Torres Gonzalez 1 , Esther Casado Sanjuan 1 , Manuel Aparicio Madre 1 , Francisco J Del Rio Gallegos 1 1 Oficina Regional de Coordinación de Trasplantes, Madrid, Spain 2 Facultad de Medicina, Universidad Francisco de Vitoria, Pozuelo de Alarcon, Spain Objective: the uncontrolled donors after cardia death (uDCD) has been decreasing in recent years. One of the possible reasons is the lower efficiency of the organs generated by this type of donation. The objective is compare the survival rates of the organ receptor. Method: The Madrid Registry of Renal Patients (RЄMЭЯ) col- lects the evolution of kidney transplants since its creation in 2008. Kaplan–Meier for data analysis. Results: 6598 transplants were analyzed, 5129 Brain Death Donors (DBD), 844 of uDCD, 357 controlled donors after cardiac death (cDCD) and 357 of living donor (LD). The 20-year survival curve shows that LD renal injectors have more survival than the other types of donation, which takes place in the first 5 years, although with a similar decline to the rest of the antibodies in the upper ones. Survival at 10 years is similar in DBD versus uDCD. cDCD has a survival rate similar to uDCD in the first year but subsequently declines more rapidly. Conclusions: The immediate survival of the uDCD recipients is somewhat lower at the beginning than the recipients of DBD, but at 10 years there is a concordance in them. The trends of both types of donation are almost parallel until the end of the study period. https://doi.org/10.1016/j.resuscitation.2020.08.033 FPS7 Expert mental models for predicting outcomes after cardiac arrest Alexis Steinberg 1,* , Emily Grayek 2 , Baruch Fischhoff 2 , Douglas White 1 , Clifton Callaway 1 , Jonathan Elmer 1 1 University of Pittsburgh, Pittsburgh, USA 2 Carnegie Mellon University, Pittsburgh, USA Objective: We sought to develop mental models describing experts’ approach to prognostication after cardiac arrest, and com- pared European and North American experts’ models. Methodology: We performed semi-structured interviews with recognized experts in cardiac arrest from Europe and North Amer- ica, chosen based on pre-defined criteria. We developed series of open-ended and more directed questions to probe expert’s approach to prognostication. We completed 5 pilot interviews of local experts at University of Pittsburgh and refined our interview questions based on the response. We constructed a preliminary model, based on ERC/ESICM and AHA guidelines, that we used as a template for initial interview coding. Using a deductive method- ology, we coded phrases in each interview into higher level and subsidiary nodes. We, then used an inductive approach to refine our initial model, including the identification of new themes. Once the coding procedure was set, two coders applied it separately to each interview, meeting regularly to ensure adequate interrater coding reliability. Results: We interviewed 18 experts from North America, Europe and Australia. They have diverse medical backgrounds including general or neuro- intensivists, neurologists, cardio- logists or emergency medicine physicians. Providers described widely varying strategies for using specific prognostic tools. Important themes regarding prognostic decision-making emerged and included considerations beyond diagnostic tools them- selves. Themes were categorized into physician, hospital and patient/family factors, test interactions, confounders and uncer- tainty. Time since arrest affected data acquisition. Patients’ clinical trajectory affected data interpretation. European experts’ thought process was strongly shaped by guideline-based protocols and mul- tidisciplinary rounds. In contrast, North American experts approach was influenced by previous experience and personal views of the literature. Conclusions: This study focuses on creating a model that experts’ use to approach outcome prediction after cardiac arrest. Understanding the multitude of factors that influence prognostica- tion is important for future implementation of prognostic tools and guidelines. https://doi.org/10.1016/j.resuscitation.2020.08.035 FPS9 An investigation into telephone dispatchers accuracy in identifying out-of-hospital cardiac arrest Kristel Gram 1,* , Mikkel Præst 2,3 , Ole Laulund 2 , Søren Mikkelsen 3,4 1 Department of Clinical Research, University of Southern Denmark, Odense, Denmark 2 Emergency Medical Dispatch Centre, Region of Southern Denmark, Odense, Denmark 3 The Mobile Emergency Care Unit, Department of Anaesthesiology and Intensive Care, Odense University Hospital, Odense, Denmark 4 The Prehospital Research Unit, Region of Southern Denmark, University of Southern Denmark, Odense, Denmark, Odense, Denmark Introduction: Early recognition of out-of-hospital cardiac arrest (OHCA) by the medical dispatcher is a prerequisite for an effective chain of survival, 1 leading to early CPR, possible use of an auto- mated external defibrillator, and rapid dispatching of emergency medical services. Aim: To analyse and compare the accuracy of the Emergency Medical Dispatch Center (EMDC) in identifying OHCA before and after an educational intervention. Method: A quality-assessment study collecting data from pre- hospital medical voice logs in Southern Denmark during two periods. Baseline data were obtained during December, January, and February 2017/2018. We imposed an intervention consisting of a specifically targeted education in quick assessment of OHCA and instructions regarding Telephone-assisted-CPR (T-CPR). Fur- thermore, we implemented an algorithm aiding the dispatcher in identifying OHCA. The post-interventional period was December, January, and February 2019/2020. The primary effect parameter was the ability of the dispatcher to recognise OHCA. Secondary effect parameters were time elapsed from contact between the dispatcher and the caller to the dis- patcher formulated essential questions. The questions included assessment of the patients’ consciousness and respiratory efforts. All data were gathered and analysed in accordance with the