Interrater variability of EEG interpretation in comatose cardiac arrest patients.

Erik Westhall; Ingmar Rosén; Andrea O Rossetti; Anne-Fleur van Rootselaar; Troels Wesenberg Kjaer; Hans Friberg; Janneke Horn; Niklas Nielsen; Susann Ullén; Tobias Cronberg

doi:10.1016/j.clinph.2015.03.017

Interrater variability of EEG interpretation in comatose cardiac arrest patients.

Erik Westhall, Ingmar Rosén, Andrea O Rossetti, Anne-Fleur van Rootselaar, Troels Wesenberg Kjaer, Hans Friberg, Janneke Horn, Niklas Nielsen, Susann Ullén, Tobias Cronberg

Research output: Contribution to journal › Article › peer-review

Abstract

EEG is widely used to predict outcome in comatose cardiac arrest patients, but its value has been limited by lack of a uniform classification. We used the EEG terminology proposed by the American Clinical Neurophysiology Society (ACNS) to assess interrater variability in a cohort of cardiac arrest patients included in the Target Temperature Management trial. The main objective was to evaluate if malignant EEG-patterns could reliably be identified.

Original language	English
Pages (from-to)	2397-2404
Journal	Clinical Neurophysiology
Volume	126
Issue number	12
DOIs	https://doi.org/10.1016/j.clinph.2015.03.017
Publication status	Published - 2015

Subject classification (UKÄ)

Neurology

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10.1016/j.clinph.2015.03.017

http://www.ncbi.nlm.nih.gov/pubmed/25934481?dopt=Abstract

1 Doctoral Thesis (compilation)

Electroencephalography for neurological prognostication after cardiac arrest
Westhall, E., 2016, Department of Clinical Sciences, Division of Clinical Neurophysiology, Lund University. 83 p.
Research output: Thesis › Doctoral Thesis (compilation)

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Cite this

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author = "Erik Westhall and Ingmar Ros{\'e}n and Rossetti, {Andrea O} and {van Rootselaar}, Anne-Fleur and {Wesenberg Kjaer}, Troels and Hans Friberg and Janneke Horn and Niklas Nielsen and Susann Ull{\'e}n and Tobias Cronberg",

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AU - Westhall, Erik

AU - Rosén, Ingmar

AU - Rossetti, Andrea O

AU - van Rootselaar, Anne-Fleur

AU - Wesenberg Kjaer, Troels

AU - Friberg, Hans

AU - Horn, Janneke

AU - Nielsen, Niklas

AU - Ullén, Susann

AU - Cronberg, Tobias

PY - 2015

Y1 - 2015

N2 - EEG is widely used to predict outcome in comatose cardiac arrest patients, but its value has been limited by lack of a uniform classification. We used the EEG terminology proposed by the American Clinical Neurophysiology Society (ACNS) to assess interrater variability in a cohort of cardiac arrest patients included in the Target Temperature Management trial. The main objective was to evaluate if malignant EEG-patterns could reliably be identified.

AB - EEG is widely used to predict outcome in comatose cardiac arrest patients, but its value has been limited by lack of a uniform classification. We used the EEG terminology proposed by the American Clinical Neurophysiology Society (ACNS) to assess interrater variability in a cohort of cardiac arrest patients included in the Target Temperature Management trial. The main objective was to evaluate if malignant EEG-patterns could reliably be identified.

U2 - 10.1016/j.clinph.2015.03.017

DO - 10.1016/j.clinph.2015.03.017

M3 - Article

C2 - 25934481

SN - 1872-8952

VL - 126

SP - 2397

EP - 2404

JO - Clinical Neurophysiology

JF - Clinical Neurophysiology

IS - 12

ER -

Interrater variability of EEG interpretation in comatose cardiac arrest patients.

Abstract

Subject classification (UKÄ)

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Research output

Electroencephalography for neurological prognostication after cardiac arrest

Cite this