Literature DB >> 27017468

Neurological prognostication of outcome in patients in coma after cardiac arrest.

Andrea O Rossetti1, Alejandro A Rabinstein2, Mauro Oddo3.   

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.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27017468     DOI: 10.1016/S1474-4422(16)00015-6

Source DB:  PubMed          Journal:  Lancet Neurol        ISSN: 1474-4422            Impact factor:   44.182


  59 in total

Review 1.  The Influence of Therapeutics on Prognostication After Cardiac Arrest.

Authors:  Sachin Agarwal; Nicholas Morris; Caroline Der-Nigoghossian; Teresa May; Daniel Brodie
Journal:  Curr Treat Options Neurol       Date:  2019-11-25       Impact factor: 3.598

2.  EEG-based outcome prediction after cardiac arrest with convolutional neural networks: Performance and visualization of discriminative features.

Authors:  Stefan Jonas; Andrea O Rossetti; Mauro Oddo; Simon Jenni; Paolo Favaro; Frederic Zubler
Journal:  Hum Brain Mapp       Date:  2019-07-19       Impact factor: 5.038

Review 3.  Neurological Prognostication After Cardiac Arrest in the Era of Target Temperature Management.

Authors:  Maximiliano A Hawkes; Alejandro A Rabinstein
Journal:  Curr Neurol Neurosci Rep       Date:  2019-02-09       Impact factor: 5.081

Review 4.  Disorders of Consciousness in China.

Authors:  Jizong Zhao
Journal:  Neurosci Bull       Date:  2018-07-23       Impact factor: 5.203

Review 5.  Resuscitating the Globally Ischemic Brain: TTM and Beyond.

Authors:  Melika Hosseini; Robert H Wilson; Christian Crouzet; Arya Amirhekmat; Kevin S Wei; Yama Akbari
Journal:  Neurotherapeutics       Date:  2020-04       Impact factor: 7.620

6.  Amplitude-Integrated Electroencephalography Predicts Outcome in Patients with Coma After Acute Brain Injury.

Authors:  Wendong You; Qilin Tang; Xiang Wu; Junfeng Feng; Qing Mao; Guoyi Gao; Jiyao Jiang
Journal:  Neurosci Bull       Date:  2018-06-09       Impact factor: 5.203

7.  Spectral Content of Electroencephalographic Burst-Suppression Patterns May Reflect Neuronal Recovery in Comatose Post-Cardiac Arrest Patients.

Authors:  Krithiga Sekar; Nicholas D Schiff; Douglas Labar; Peter B Forgacs
Journal:  J Clin Neurophysiol       Date:  2019-03       Impact factor: 2.177

8.  Combination of initial neurologic examination, quantitative brain imaging and electroencephalography to predict outcome after cardiac arrest.

Authors:  Chun Song Youn; Clifton W Callaway; Jon C Rittenberger
Journal:  Resuscitation       Date:  2016-11-10       Impact factor: 5.262

9.  Myoclonus After Cardiac Arrest: Where Do We Go From Here?

Authors:  Brin Freund; Peter W Kaplan
Journal:  Epilepsy Curr       Date:  2017 Sep-Oct       Impact factor: 7.500

10.  Post-ischemic Myoclonic Status Following Cardiac Arrest in Young Drug Users.

Authors:  Sherri A Braksick; Alejandro A Rabinstein; Eelco F M Wijdicks; Jennifer E Fugate; Sara Hocker
Journal:  Neurocrit Care       Date:  2017-04       Impact factor: 3.210

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