Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2016 May;15(6):597-609.
doi: 10.1016/S1474-4422(16)00015-6. Epub 2016 Mar 24.

Neurological prognostication of outcome in patients in coma after cardiac arrest

Affiliations
Free article
Review

Neurological prognostication of outcome in patients in coma after cardiac arrest

Andrea O Rossetti et al. Lancet Neurol. 2016 May.
Free article

Erratum in

  • Corrections.
    [No authors listed] [No authors listed] Lancet Neurol. 2016 Jun;15(7):656. doi: 10.1016/S1474-4422(16)30033-3. Epub 2016 Apr 13. Lancet Neurol. 2016. PMID: 27086084 No abstract available.

Abstract

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 offering concordant evidence.

PubMed Disclaimer

Publication types