Evidence map›Paper›PMID 39431963›Full record

ArticleCritical care explorations2024

Utility of Clinical Features in Identifying Electrographic Seizures in Hospitalized Patients Admitted for Non-Neurological Diagnoses.

Carolyn Tsai, Courtney Blodgett, Sunghyun Seo, Rizk Alghorazi, Lang Li, Bahjat Qaqish, William J Powers, Clio Rubinos

Abstract read
In one paragraph

Article in Critical care explorations, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

8 authors.

Carolyn TsaiDepartment of Neurology, University of North Carolina (UNC) Chapel Hill, Chapel Hill, NC.ORCID 0000-0003-1864-371
Courtney BlodgettDepartment of Neurology, University of North Carolina (UNC) Chapel Hill, Chapel Hill, NC.
Sunghyun SeoDepartment of Neurology, University of North Carolina (UNC) Chapel Hill, Chapel Hill, NC.
Rizk AlghoraziDepartment of Neurology, University of North Carolina (UNC) Chapel Hill, Chapel Hill, NC.
Lang LiDepartment of Biostatistics, University of North Carolina (UNC) Chapel Hill, Chapel Hill, NC.
Bahjat QaqishDepartment of Biostatistics, University of North Carolina (UNC) Chapel Hill, Chapel Hill, NC.
William J PowersDepartment of Neurology, Duke University, Durham, NC.
Clio RubinosDepartment of Neurology, University of North Carolina (UNC) Chapel Hill, Chapel Hill, NC.

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
North Carolina Translational and Clinical Sciences Institute (NC TraCS)UM1TR004406 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NICHOLAS J SHAHEEN · 2023 to 2026
$37.5M
NCATS NIH HHS UL1 TR002489NCATS NIH HHS UM1 TR004406
6 · The paper itself

Abstract

importanceElectrographic seizures (ESz) are seizures without prominent motor activity diagnosed with electroencephalogram and are a common complication in critically ill patients with alterations of consciousness. Previous studies suggested clinical signs, including ocular movement abnormalities, facial/periorbital twitching, or remote seizure risk factors, are sensitive for presence of ESz.

objectivesTo assess the utility of clinical features in identifying ESz in critically ill patients with alterations of consciousness. DESIGN, SETTING, AND

participantsThis is a retrospective case-control study of 50 patients admitted to the University of North Carolina (UNC) Medical Center and UNC Rex Hospital. Inpatients older than 18 years old undergoing continuous video electroencephalogram (cEEG) were included. Patients admitted for neurologic diagnoses were excluded. A total of 25 patients with ESz (Sz-EEG) were matched with 25 controls by electroencephalogram duration ± 12 hours (No-Sz-EEG). Elements of patient's history and physical findings previously shown to be sensitive for presence of ESz were collected. Descriptive statistical analyses were used.

resultsMost patients were admitted to medical ICUs (72%; n = 36). There was no difference between groups in clinical findings previously shown to be sensitive for ESz. Positive and negative likelihood ratios for these findings generally fell between 1-2 and 0.5-1, respectively, indicating they are inaccurate predictors for ESz. Patients with ESz had significantly higher mortality (p = 0.012). CONCLUSIONS AND RELEVANCE: Our matched case-control study showed that in the critically ill patient population hospitalized in tertiary care centers and admitted for non-neurologic primary diagnoses, incidence of ocular movement abnormalities, facial/periorbital twitching, and presence of remote risk factors for seizures had low predictive accuracy for ESz. However, these findings are not generalizable to patients with neurologic diseases or to other practice settings with different levels of access to cEEG. We concluded that in this exploratory analysis of hospitalized critically ill patients with non-neurologic diagnoses, these clinical signs did not reliably stratify risk for ESz on cEEG. However, further prospective studies are needed to better evaluate these conclusions.

Indexed as

ElectroencephalographySeizuresAdultAgedCase-Control StudiesCritical IllnessFemaleHospitalizationHumansMaleMiddle AgedRetrospective Studies

Identifiers

PMID39431963
PMCPMC11495720

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.