Evidence map›Paper›PMID 35305494›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2022

Electroencephalography at the height of a pandemic: EEG findings in patients with COVID-19.

Gabriela B Tantillo, Nathalie Jetté, Kapil Gururangan, Parul Agarwal, Lara Marcuse, Anuradha Singh, Jonathan Goldstein, Churl-Su Kwon, Mandip S Dhamoon, Allison Navis and 6 more

Open access · greenAbstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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

16 authors at 1 institution in 1 country.

Gabriela B TantilloDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Nathalie JettéDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Healthcare Delivery Science, Department of Population Health and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Icahn School of Medicine at Mount Sinai, USA.
Kapil GururanganDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Parul AgarwalDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Healthcare Delivery Science, Department of Population Health and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Icahn School of Medicine at Mount Sinai, USA.
Lara MarcuseDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Icahn School of Medicine at Mount Sinai, USA.
Anuradha SinghDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Icahn School of Medicine at Mount Sinai, USA.
Jonathan GoldsteinIcahn School of Medicine at Mount Sinai, USA.
Churl-Su KwonDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Healthcare Delivery Science, Department of Population Health and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Mandip S DhamoonDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Icahn School of Medicine at Mount Sinai, USA.
Allison NavisDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Icahn School of Medicine at Mount Sinai, USA.
Girish N NadkarniIcahn School of Medicine at Mount Sinai, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, USA; Mount Sinai COVID-19 Informatics Center, USA.
Alexander W CharneyIcahn School of Medicine at Mount Sinai, USA; Mount Sinai COVID-19 Informatics Center, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, USA.
James J YoungDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Icahn School of Medicine at Mount Sinai, USA.
Leah J BlankDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Healthcare Delivery Science, Department of Population Health and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Icahn School of Medicine at Mount Sinai, USA.
Madeline FieldsDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Icahn School of Medicine at Mount Sinai, USA.
Ji Yeoun YooDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Icahn School of Medicine at Mount Sinai, USA. Electronic address: jiyeoun.yoo@mssm.edu.
Icahn School of Medicine at Mount Sinai · US

Funding

The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) Public Engagement CoreU54NS100064 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2017 to 2021
$21.7M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
Mount Sinai Network of Excellence in Neuroscience Clinical TrialsU24NS107201 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JETTE, NATHALIE, MILLER, AARON · 2018 to 2022
$1.7M
NIH HHS S10 OD026880NIH HHS S10 OD030463NINDS NIH HHS U24 NS107201NINDS NIH HHS U54 NS100064
6 · The paper itself

Abstract

objectiveTo characterize continuous video electroencephalogram (VEEG) findings of hospitalized COVID-19 patients.

methodsWe performed a retrospective chart review of patients admitted at three New York City hospitals who underwent VEEG at the peak of the COVID-19 pandemic. Demographics, comorbidities, neuroimaging, VEEG indications and findings, treatment, and outcomes were collected.

resultsOf 93 patients monitored, 77% had severe COVID-19 and 40% died. Acute ischemic or hemorrhagic stroke was present in 26% and 15%, respectively. Most common VEEG indications were encephalopathy/coma (60%) and seizure-like movements (38%). Most common VEEG findings were generalized slowing (97%), generalized attenuation (31%), generalized periodic discharges (17%) and generalized sharp waves (15%). Epileptiform abnormalities were present in 43% and seizures in 8% of patients, all of whom had seizure risk factors. Factors associated with an epileptiform VEEG included increasing age (OR 1.07, p = 0.001) and hepatic/renal failure (OR 2.99, p = 0.03).

conclusionsMost COVID-19 patients who underwent VEEG monitoring had severe COVID-19 and over one-third had acute cerebral injury (e.g., stroke, anoxia). Seizures were uncommon. VEEG findings were nonspecific. SIGNIFICANCE: VEEG findings in this cohort of hospitalized COVID-19 patients were those often seen in critical illness. Seizures were uncommon and occurred in the setting of common seizure risk factors.

Indexed as

COVID-19PandemicsElectroencephalographyHumansRetrospective StudiesSeizuresCOVID-19EEGElectroencephalographyneuroCOVIDSeizures

Identifiers

PMID35305494
PMCPMC8901228
OpenAlexW4221128649

What OpenQuestion holds

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Registered trials

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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.