TY - JOUR AU - Andersson, Peder AU - Johnsson, Jesper AU - Björnsson, Ola AU - Cronberg, Tobias AU - Hassager, Christian AU - Zetterberg, Henrik AU - Stammet, Pascal AU - Undén, Johan AU - Kjaergaard, Jesper AU - Friberg, Hans AU - Blennow, Kaj AU - Lilja, Gisela AU - Wise, Matt P. AU - Dankiewicz, Josef AU - Nielsen, Niklas AU - Frigyesi, Attila PY - 2021 DA - 2021/02/25 TI - Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm JO - Critical Care SP - 83 VL - 25 IS - 1 AB - Prognostication of neurological outcome in patients who remain comatose after cardiac arrest resuscitation is complex. Clinical variables, as well as biomarkers of brain injury, cardiac injury, and systemic inflammation, all yield some prognostic value. We hypothesised that cumulative information obtained during the first three days of intensive care could produce a reliable model for predicting neurological outcome following out-of-hospital cardiac arrest (OHCA) using artificial neural network (ANN) with and without biomarkers. SN - 1364-8535 UR - https://doi.org/10.1186/s13054-021-03505-9 DO - 10.1186/s13054-021-03505-9 ID - Andersson2021 ER -