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Critical Care (London, England)|August 1, 2020
Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive careJesper Johnsson, Ola Björnsson, Peder Andersson, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|May 3, 2015
Interrater variability of EEG interpretation in comatose cardiac arrest patientsErik Westhall, Ingmar Rosén, Andrea O Rossetti, et al.
Intensive Care Medicine Experimental|July 19, 2021
Plasma proenkephalin A 119-159 on intensive care unit admission is a predictor of organ failure and 30-day mortalityAttila Frigyesi, Lisa Boström, Maria Lengquist, et al.
Resuscitation|February 7, 2017
Prognostic significance of clinical seizures after cardiac arrest and target temperature managementAnna Lybeck, Hans Friberg, Anders Aneman, et al.
Intensive Care Medicine|October 15, 2015
European Resuscitation Council and European Society of Intensive Care Medicine 2015 guidelines for post-resuscitation careJerry P Nolan, Jasmeet Soar, Alain Cariou, et al.
Resuscitation|August 26, 2021
Caregiver burden and health-related quality of life amongst caregivers of out-of-hospital cardiac arrest survivorsMattias Bohm, Tobias Cronberg, Kristofer Årestedt, et al.
Intensive Care Medicine|October 27, 2021
Brain injury after cardiac arrest: pathophysiology, treatment, and prognosisClaudio Sandroni, Tobias Cronberg, Mypinder Sekhon
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