Evidence map›Paper›PMID 28646267›Full record

Observational studyNeurocritical care2018

Quantitative EEG Metrics Differ Between Outcome Groups and Change Over the First 72 h in Comatose Cardiac Arrest Patients.

Sara Leingang Wiley, Babak Razavi, Prashanth Krishnamohan, Michael Mlynash, Irina Eyngorn, Kimford J Meador, Karen G Hirsch

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Neurocritical care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Prognosis of consciousness disorders in the intensive care unit.Presse medicale (Paris, France : 1983) · 2023
    Review
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  5. Review
  6. Observational
  7. Article
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  14. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Sara Leingang WileyPortland State University, Portland, OR, USA.ORCID 0000-0002-5474-3243
Babak RazaviDepartment of Neurology and Neurological Sciences, Stanford University, 300 Pasteur Drive, MC 5778, Stanford, CA, 94305, USA.
Prashanth KrishnamohanDepartment of Neurology and Neurological Sciences, Stanford University, 300 Pasteur Drive, MC 5778, Stanford, CA, 94305, USA.
Michael MlynashDepartment of Neurology and Neurological Sciences, Stanford University, 300 Pasteur Drive, MC 5778, Stanford, CA, 94305, USA.
Irina EyngornDepartment of Neurology and Neurological Sciences, Stanford University, 300 Pasteur Drive, MC 5778, Stanford, CA, 94305, USA.
Kimford J MeadorDepartment of Neurology and Neurological Sciences, Stanford University, 300 Pasteur Drive, MC 5778, Stanford, CA, 94305, USA.
Karen G HirschDepartment of Neurology and Neurological Sciences, Stanford University, 300 Pasteur Drive, MC 5778, Stanford, CA, 94305, USA. khirsch@stanford.edu.
Stanford University · USPortland State University · US

Funding

Prognostic Value of MRI and Biomarkers in Comatose Post-cardiac Arrest PatientsR01HL089116 · NHLBI · STANFORD UNIVERSITY · PI ALBERS, GREGORY W · 2008 to 2012
$2.0M
American Heart Association (US) 16MCPRP27750034NHLBI NIH HHS NIH NHLBI 1 R01 HL089116-01
6 · The paper itself

Abstract

backgroundForty to sixty-six percent of patients resuscitated from cardiac arrest remain comatose, and historic outcome predictors are unreliable. Quantitative spectral analysis of continuous electroencephalography (cEEG) may differ between patients with good and poor outcomes.

methodsConsecutive patients with post-cardiac arrest hypoxic-ischemic coma undergoing cEEG were enrolled. Spectral analysis was conducted on artifact-free contiguous 5-min cEEG epochs from each hour. Whole band (1-30 Hz), delta (δ, 1-4 Hz), theta (θ, 4-8 Hz), alpha (α, 8-13 Hz), beta (β, 13-30 Hz), α/δ power ratio, percent suppression, and variability were calculated and correlated with outcome. Graphical patterns of quantitative EEG (qEEG) were described and categorized as correlating with outcome. Clinical outcome was dichotomized, with good neurologic outcome being consciousness recovery.

resultsTen subjects with a mean age = 50 yrs (range = 18-65) were analyzed. There were significant differences in total power (3.50 [3.30-4.06] vs. 0.68 [0.52-1.02], p = 0.01), alpha power (1.39 [0.66-1.79] vs 0.27 [0.17-0.48], p < 0.05), delta power (2.78 [2.21-3.01] vs 0.55 [0.38-0.83], p = 0.01), percent suppression (0.66 [0.02-2.42] vs 73.4 [48.0-97.5], p = 0.01), and multiple measures of variability between good and poor outcome patients (all values median [IQR], good vs. poor). qEEG patterns with high or increasing power or large power variability were associated with good outcome (n = 6). Patterns with consistently low or decreasing power or minimal power variability were associated with poor outcome (n = 4).

conclusionsThese preliminary results suggest qEEG metrics correlate with outcome. In some patients, qEEG patterns change over the first three days post-arrest.

Indexed as

Outcome Assessment, Health CareAdolescentAdultAgedBrain WavesComaElectroencephalographyFemaleHeart ArrestHumansHypoxia-Ischemia, BrainMaleMiddle AgedPrognosisYoung AdultCardiac arrestOutcomesPost-anoxic comaPrognosisQuantitative EEG

Identifiers

PMID28646267
OpenAlexW2672961551

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.