Evidence map›Paper›PMID 38783313›Full record

ArticleCritical care (London, England)2024

Prognostic value of early EEG abnormalities in severe stroke patients requiring mechanical ventilation: a pre-planned analysis of the SPICE prospective multicenter study.

Sarah Benghanem, Nathalie Kubis, Etienne Gayat, Ambre Loiodice, Estelle Pruvost-Robieux, Tarek Sharshar, Arnaud Foucrier, Samy Figueiredo, Viviane Bouilleret, Etienne De Montmollin and 20 more

Abstract readMulticenter Study
In one paragraph

Article in Critical care (London, England), 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. Trial
  2. Review
  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

30 authors.

Sarah BenghanemAP-HP.Centre, Medical ICU, Cochin Hospital, Paris, France.
Nathalie KubisUniversity Paris Cité, Medical School, Paris, France.
Etienne GayatUniversity Paris Cité, Medical School, Paris, France.
Ambre LoiodiceDepartment of Biostatistics, ICUREsearch, Paris, France.
Estelle Pruvost-RobieuxUniversity Paris Cité, Medical School, Paris, France.
Tarek SharsharUniversity Paris Cité, Medical School, Paris, France.
Arnaud FoucrierAPHP, Department of Anesthesiology and Critical Care, Beaujon University Hospital, Clichy, France.
Samy FigueiredoAPHP, Department of Anesthesiology and Critical Care, Bicêtre University Hospitals, Le Kremlin Bicêtre, France.
Viviane BouilleretNeurophysiology and Epileptology Department, Bicêtre University Hospitals, Le Kremlin Bicêtre, France.
Etienne De MontmollinDepartment of Intensive Care Medicine, Delafontaine Hospital, Saint-Denis, France.
François BagateAPHP, Department of Intensive Care Medicine, Henri Mondor University Hospital and Université de Paris Est Créteil, Créteil, France.
Jean-Pascal LefaucheurAPHP, Neurophysiology Department, Henri Mondor University Hospital, Créteil, France.
Bertrand GuidetAPHP, Department of Intensive Care Medicine, Saint Antoine University Hospital, Paris, France.
Emmanuelle AppartisNeurophysiology Department, Saint Antoine University Hospital, Paris, France.
Alain CariouAP-HP.Centre, Medical ICU, Cochin Hospital, Paris, France.
Olivier VarnetAPHP, Department of Physiology, Bichat-Claude Bernard University Hospital, 75018, Paris, France.
Paul Henri JostAPHP, Department of Anesthesiology and Intensive Care, Henri Mondor Hospital, Creteil, France.
Bruno MegarbaneAPHP, Medical ICU, Lariboisiere Hospital, Paris, France.
Vincent DegosAPHP, Department of Anesthesiology and Neurointensive Care, Pitié Salpétrière Hospital, Paris, France.
Loic Le GuennecAPHP, Medical ICU, Pitié Salpétrière Hospital, Paris, France.
Lionel NaccacheAPHP, Department of Physiology, Pitié Salpétrière Hospital, Paris, France.
Stephane LegrielMedical ICU, Le Chesnay Hospital, Versailles, France.
France WoimantAgence Régionale de Santé Ile-de-France, Paris, France.
Charles GregoireDepartment of Intensive Care, Rothschild Hospital Foundation, Paris, France.
David CortierDepartment of Intensive Care, Foch Hospital, Paris, France.
Isabelle CrassardAgence Régionale de Santé Ile-de-France, Paris, France.
Jean-François TimsitAPHP, Department of Intensive Care Medicine, Bichat-Claude Bernard University Hospital, 46 rue Henri Huchard, 75018, Paris, France.
Mikael Mazighi *APHP Nord, Department of Neurology, Lariboisière University Hospital, Department of Interventional Neuroradiology, Fondation Rothschild Hospital, FHU Neurovasc, Paris, France.
Romain Sonneville *APHP, Department of Intensive Care Medicine, Bichat-Claude Bernard University Hospital, 46 rue Henri Huchard, 75018, Paris, France. Romain.sonneville@aphp.fr.
SPICE investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrognostication of outcome in severe stroke patients necessitating invasive mechanical ventilation poses significant challenges. The objective of this study was to assess the prognostic significance and prevalence of early electroencephalogram (EEG) abnormalities in adult stroke patients receiving mechanical ventilation.

methodsThis study is a pre-planned ancillary investigation within the prospective multicenter SPICE cohort study (2017-2019), conducted in 33 intensive care units (ICUs) in the Paris area, France. We included adult stroke patients requiring invasive mechanical ventilation, who underwent at least one intermittent EEG examination during their ICU stay. The primary endpoint was the functional neurological outcome at one year, determined using the modified Rankin scale (mRS), and dichotomized as unfavorable (mRS 4-6, indicating severe disability or death) or favorable (mRS 0-3). Multivariable regression analyses were employed to identify EEG abnormalities associated with functional outcomes.

resultsOf the 364 patients enrolled in the SPICE study, 153 patients (49 ischemic strokes, 52 intracranial hemorrhages, and 52 subarachnoid hemorrhages) underwent at least one EEG at a median time of 4 (interquartile range 2-7) days post-stroke. Rates of diffuse slowing (70% vs. 63%, p = 0.37), focal slowing (38% vs. 32%, p = 0.15), periodic discharges (2.3% vs. 3.7%, p = 0.9), and electrographic seizures (4.5% vs. 3.7%, p = 0.4) were comparable between patients with unfavorable and favorable outcomes. Following adjustment for potential confounders, an unreactive EEG background to auditory and pain stimulations (OR 6.02, 95% CI 2.27-15.99) was independently associated with unfavorable outcomes. An unreactive EEG predicted unfavorable outcome with a specificity of 48% (95% CI 40-56), sensitivity of 79% (95% CI 72-85), and positive predictive value (PPV) of 74% (95% CI 67-81). Conversely, a benign EEG (defined as continuous and reactive background activity without seizure, periodic discharges, triphasic waves, or burst suppression) predicted favorable outcome with a specificity of 89% (95% CI 84-94), and a sensitivity of 37% (95% CI 30-45).

conclusionThe absence of EEG reactivity independently predicts unfavorable outcomes at one year in severe stroke patients requiring mechanical ventilation in the ICU, although its prognostic value remains limited. Conversely, a benign EEG pattern was associated with a favorable outcome.

Indexed as

ElectroencephalographyIntensive Care UnitsRespiration, ArtificialStrokeAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedPrognosisProspective StudiesEEG reactivityElectroencephalogramIntensive carePrognosticationSevere stroke

Identifiers

PMID38783313
PMCPMC11119574

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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.