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Neurological prognostication of outcome in patients in coma after cardiac arrest

Journal

LANCET NEUROLOGY
Volume 15, Issue 6, Pages 597-609

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/S1474-4422(16)00015-6

Keywords

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Funding

  1. Swiss National Science Foundation [CR3213_143780, 32003B_155957]
  2. Swiss National Science Foundation (SNF) [32003B_155957] Funding Source: Swiss National Science Foundation (SNF)

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Management 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 off ering concordant evidence.

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