• Andrea O Rossetti, Alejandro A Rabinstein, and Mauro Oddo.
• Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Université de Lausanne, Lausanne, Switzerland. Electronic address: andrea.rossetti@chuv.ch.
• Lancet Neurol. 2016 May 1; 15 (6): 597-609.

AbstractManagement of coma after cardiac arrest has improved during the past decade, allowing an increasing proportion of patients to survive, thus prognostication has become an integral part of post-resuscitation care. Neurologists are increasingly confronted with raised expectations of next of kin and the necessity to provide early predictions of long-term prognosis. During the past decade, as technology and clinical evidence have evolved, post-cardiac arrest prognostication has moved towards a multimodal paradigm combining clinical examination with additional methods, consisting of electrophysiology, blood biomarkers, and brain imaging, to optimise prognostic accuracy. Prognostication should never be based on a single indicator; although some variables have very low false positive rates for poor outcome, multimodal assessment provides resassurance about the reliability of a prognostic estimate by offering concordant evidence.Copyright © 2016 Elsevier Ltd. All rights reserved.

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