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Prognostic Value of EEG in Patients after Cardiac Arrest—An Updated Review

Overview of attention for article published in Current Neurology and Neuroscience Reports, March 2018
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  • Average Attention Score compared to outputs of the same age and source

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Title
Prognostic Value of EEG in Patients after Cardiac Arrest—An Updated Review
Published in
Current Neurology and Neuroscience Reports, March 2018
DOI 10.1007/s11910-018-0826-6
Pubmed ID
Authors

Wolfgang Muhlhofer, Jerzy P. Szaflarski

Abstract

This paper aims to review and summarize the key contributions of EEG to prognostication after cardiac arrest (CA). While there are more EEG patterns predicting poor than good outcome, even EEG patterns previously considered to be "very malignant" may result in survival with a meaningful neurological outcome depending on their underlying etiology as well as the continuity and reactivity of the EEG background. Regardless of the potentially confounding factors, EEG patterns are highly specific with a relatively low false-positive rate. The development of more complex and comprehensive approaches to quantitative EEG analysis could help improve the prognostic value of EEG, but this approach has its own limitations. Seizures and status epilepticus in the setting of CA predict poor outcomes, but it is not clear whether treating them prevents additional brain damage and results in improved outcome. Either continuous EEG or frequent intermittent EEGs should be obtained within the first 12-24 h of return of spontaneous circulation in order to capture highly dynamic and prognostic patterns. Even though EEG has high predictive value for outcomes after cardiac arrest, it should not be the only prognostic tool. Rather, to improve prognostication, EEG should be used in combination with the neurological examination and other ancillary tests.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 15%
Student > Bachelor 10 15%
Researcher 7 10%
Other 6 9%
Student > Postgraduate 5 7%
Other 12 18%
Unknown 18 26%
Readers by discipline Count As %
Medicine and Dentistry 27 40%
Neuroscience 6 9%
Nursing and Health Professions 5 7%
Engineering 4 6%
Agricultural and Biological Sciences 2 3%
Other 2 3%
Unknown 22 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 May 2018.
All research outputs
#5,964,693
of 23,063,209 outputs
Outputs from Current Neurology and Neuroscience Reports
#312
of 920 outputs
Outputs of similar age
#105,439
of 332,681 outputs
Outputs of similar age from Current Neurology and Neuroscience Reports
#16
of 25 outputs
Altmetric has tracked 23,063,209 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 920 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 332,681 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.