Evidence map›Paper›PMID 31467255›Full record

ArticleNeurology2019

Clinical EEG slowing correlates with delirium severity and predicts poor clinical outcomes.

Eyal Y Kimchi, Anudeepthi Neelagiri, Wade Whitt, Avinash Rao Sagi, Sophia L Ryan, Greta Gadbois, Daniël Groothuysen, M Brandon Westover

Open access · greenAbstract read
In one paragraph

Article in Neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

55 citing papers in PubMed, 101 citations in OpenAlex.

  1. Trial
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  4. Article
  5. Resting-state EEG for continuous prognostic monitoring and prediction of coma recovery after acute brain injury.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Article
  6. Article
  7. Video-based Detection of Delirium in Hospitalized Adults.medRxiv : the preprint server for health sciences · 2026
    Article
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  13. Bedside EEG for rapid diagnosis of delirium.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Review
  14. Electrographic Features of Catatonia With or Without Comorbid Delirium.The Journal of neuropsychiatry and clinical neurosciences · 2026
    Article
  15. Article
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  17. [Incidence and factors associated with delirium in an Emergency Department].Revista medica del Instituto Mexicano del Seguro Social · 2025
    Observational
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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

8 authors at 1 institution in 1 country.

Eyal Y KimchiFrom the Department of Neurology (E.Y.K., A.N., W.W., A.R.S., S.L.R., G.G., D.G., M.B.W.) and Clinical Data Animation Center (M.B.W.), Massachusetts General Hospital, Boston. ekimchi@partners.org.
Anudeepthi NeelagiriFrom the Department of Neurology (E.Y.K., A.N., W.W., A.R.S., S.L.R., G.G., D.G., M.B.W.) and Clinical Data Animation Center (M.B.W.), Massachusetts General Hospital, Boston.
Wade WhittFrom the Department of Neurology (E.Y.K., A.N., W.W., A.R.S., S.L.R., G.G., D.G., M.B.W.) and Clinical Data Animation Center (M.B.W.), Massachusetts General Hospital, Boston.
Avinash Rao SagiFrom the Department of Neurology (E.Y.K., A.N., W.W., A.R.S., S.L.R., G.G., D.G., M.B.W.) and Clinical Data Animation Center (M.B.W.), Massachusetts General Hospital, Boston.
Sophia L RyanFrom the Department of Neurology (E.Y.K., A.N., W.W., A.R.S., S.L.R., G.G., D.G., M.B.W.) and Clinical Data Animation Center (M.B.W.), Massachusetts General Hospital, Boston.
Greta GadboisFrom the Department of Neurology (E.Y.K., A.N., W.W., A.R.S., S.L.R., G.G., D.G., M.B.W.) and Clinical Data Animation Center (M.B.W.), Massachusetts General Hospital, Boston.
Daniël GroothuysenFrom the Department of Neurology (E.Y.K., A.N., W.W., A.R.S., S.L.R., G.G., D.G., M.B.W.) and Clinical Data Animation Center (M.B.W.), Massachusetts General Hospital, Boston.
M Brandon WestoverFrom the Department of Neurology (E.Y.K., A.N., W.W., A.R.S., S.L.R., G.G., D.G., M.B.W.) and Clinical Data Animation Center (M.B.W.), Massachusetts General Hospital, Boston.
Massachusetts General Hospital · US

Funding

Multimodal Network Connectivity Architecture (MOCA) of the Brain and its Role in the Recovery of Consciousness in Comatose Cardiac Arrest PatientsR01NS102574 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI GREER, DAVID MATTHEW, WU, ONA · 2018 to 2022
$3.4M
Investigation of Sleep in the Intensive Care Unit (ICU-SLEEP)R01NS102190 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$3.2M
Big Data and Deep Learning for the Interictal-Ictal-Injury ContiuumR01NS107291 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$2.8M
Quantitative Monitoring and Control of Sedation and Pain in the ICU EnvironmentK23NS090900 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2014 to 2018
$988k
Determining optimal parameters for dynamic cholinergic modulation of associative learningK08MH116135 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KIMCHI, EYAL YAACOV · 2018 to 2021
$783k
Determining the pathophysiology of delirium in the elderly through translational modelsR03AG050878 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI KIMCHI, EYAL YAACOV · 2015 to 2016
$261k
NIA NIH HHS R03 AG050878NIMH NIH HHS K08 MH116135NINDS NIH HHS K23 NS090900NINDS NIH HHS R01 NS102190NINDS NIH HHS R01 NS102574NINDS NIH HHS R01 NS107291
6 · The paper itself

Abstract

objectiveTo determine which findings on routine clinical EEGs correlate with delirium severity across various presentations and to determine whether EEG findings independently predict important clinical outcomes.

methodsWe prospectively studied a cohort of nonintubated inpatients undergoing EEG for evaluation of altered mental status. Patients were assessed for delirium within 1 hour of EEG with the 3-Minute Diagnostic Interview for Confusion Assessment Method (3D-CAM) and 3D-CAM severity score. EEGs were interpreted clinically by neurophysiologists, and reports were reviewed to identify features such as theta or delta slowing and triphasic waves. Generalized linear models were used to quantify associations among EEG findings, delirium, and clinical outcomes, including length of stay, Glasgow Outcome Scale scores, and mortality.

resultsWe evaluated 200 patients (median age 60 years, IQR 48.5-72 years); 121 (60.5%) met delirium criteria. The EEG finding most strongly associated with delirium presence was a composite of generalized theta or delta slowing (odds ratio 10.3, 95% confidence interval 5.3-20.1). The prevalence of slowing correlated not only with overall delirium severity (

conclusionsGeneralized slowing on routine clinical EEG strongly correlates with delirium and may be a valuable biomarker for delirium severity. In addition, generalized EEG slowing should trigger elevated concern for the prognosis of patients with altered mental status.

Indexed as

ElectroencephalographySeverity of Illness IndexAdultAgedAlgorithmsCohort StudiesDeliriumFemaleHospitalizationHumansMaleMiddle AgedTreatment Outcome

Identifiers

PMID31467255
PMCPMC7011865
OpenAlexW2970871634

What OpenQuestion holds

Textmetadata
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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.