Evidence map›Paper›PMID 36462473›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2023

Quantitative artifact reduction and pharmacologic paralysis improve detection of EEG epileptiform activity in critically ill patients.

Catherine V Kulick-Soper, Russell T Shinohara, Colin A Ellis, Taneeta M Ganguly, Ramya Raghupathi, Jay S Pathmanathan, Erin C Conrad

Abstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Catherine V Kulick-SoperDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: catherine.kulick@pennmedicine.upenn.edu.
Russell T ShinoharaDepartment of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: russell.shinohara@pennmedicine.upenn.edu.
Colin A EllisDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: colin.ellis@uphs.upenn.edu.
Taneeta M GangulyDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: taneeta.ganguly@pennmedicine.upenn.edu.
Ramya RaghupathiDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: ramya.raghupathi@pennmedicine.upenn.edu.
Jay S PathmanathanDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: jay.pathmanathan@pennmedicine.upenn.edu.
Erin C ConradDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: erin.conrad@uphs.upenn.edu.

Funding

Quantitative interictal networks to localize seizure generatorsK23NS121401 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Erin Conrad · 2022 to 2026
$1.2M
NINDS NIH HHS K23 NS121401
6 · The paper itself

Abstract

objectiveEpileptiform activity is common in critically ill patients, but movement-related artifacts-including electromyography (EMG) and myoclonus-can obscure EEG, limiting detection of epileptiform activity. We sought to determine the ability of pharmacologic paralysis and quantitative artifact reduction (AR) to improve epileptiform discharge detection.

methodsRetrospective analysis of patients who underwent continuous EEG monitoring with pharmacologic paralysis. Four reviewers read each patient's EEG pre- and post- both paralysis and AR, and indicated the presence of epileptiform discharges. We compared the interrater reliability (IRR) of identifying discharges at baseline, post-AR, and post-paralysis, and compared the performance of AR and paralysis according to artifact type.

resultsIRR of identifying epileptiform discharges at baseline was slight (N = 30; κ = 0.10) with a trend toward increase post-AR (κ = 0.26, p = 0.053) and a significant increase post-paralysis (κ = 0.51, p = 0.001). AR was as effective as paralysis at improving IRR of identifying discharges in those with high EMG artifact (N = 15; post-AR κ = 0.63, p = 0.009; post-paralysis κ = 0.62, p = 0.006) but not with primarily myoclonus artifact (N = 15).

conclusionsParalysis improves detection of epileptiform activity in critically ill patients when movement-related artifact obscures EEG features. AR improves detection as much as paralysis when EMG artifact is high, but is ineffective when the primary source of artifact is myoclonus. SIGNIFICANCE: In the appropriate setting, both AR and paralysis facilitate identification of epileptiform activity in critically ill patients.

Indexed as

ElectroencephalographyMyoclonusArtifactsCritical IllnessHumansParalysisReproducibility of ResultsRetrospective StudiesContinuous video EEGEEG interpretationMyoclonusNeurocritical care

Identifiers

PMID36462473
PMCPMC9897212

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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.