Evidence map›Paper›PMID 35768546›Full record

ArticleJournal of neurology2022

Clinico-biological markers for the prognosis of status epilepticus in adults.

Aurélie Hanin, Sophie Demeret, Virginie Lambrecq, Benjamin Rohaut, Clémence Marois, Meriem Bouguerra, Alexandre Demoule, Jean-Louis Beaudeux, Randa Bittar, Jérôme Alexandre Denis and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
2.2field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Status epilepticus: the score question.Frontiers in neurology · 2025
    Review
  9. Article
  10. Article
  11. Review
  12. 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

16 authors at 5 institutions in 1 country.

Aurélie HaninSorbonne Université, Institut du Cerveau, Paris Brain Institute, ICM, Inserm, CNRS, APHP, Hôpital de la Pitié-Salpêtrière, DMU Neurosciences 6, Paris, France.ORCID http://orcid.org/0000-0002-5912-9998
Sophie DemeretAP-HP, Hôpital de la Pitié-Salpêtrière, Neuro-Intensive Care Unit, Paris, France.
Virginie LambrecqSorbonne Université, Institut du Cerveau, Paris Brain Institute, ICM, Inserm, CNRS, APHP, Hôpital de la Pitié-Salpêtrière, DMU Neurosciences 6, Paris, France.
Benjamin RohautSorbonne Université, Institut du Cerveau, Paris Brain Institute, ICM, Inserm, CNRS, APHP, Hôpital de la Pitié-Salpêtrière, DMU Neurosciences 6, Paris, France.
Clémence MaroisAP-HP, Hôpital de la Pitié-Salpêtrière, Neuro-Intensive Care Unit, Paris, France.
Meriem BouguerraSorbonne Université, Institut du Cerveau, Paris Brain Institute, ICM, Inserm, CNRS, APHP, Hôpital de la Pitié-Salpêtrière, DMU Neurosciences 6, Paris, France.
Alexandre DemouleAP-HP, Groupe Hospitalier Universitaire APHP-Sorbonne Université, Site Pitié-Salpêtrière, Service de Médecine Intensive ET Réanimation (Département R3S), Paris, France.
Jean-Louis BeaudeuxDepartment of Clinical Chemistry, AP-HP, Hôpital Necker-Enfants Malades, Paris, France.
Randa BittarDepartment of Metabolic Biochemistry, AP-HP, Hôpital de La Pitié-Salpêtrière, Paris, France.
Jérôme Alexandre DenisDepartment of Endocrine and Oncological Biochemistry, AP-HP, Hôpital de la Pitié-Salpêtrière, Sorbonne Université, Paris, France.
Françoise Imbert-BismutDepartment of Metabolic Biochemistry, AP-HP, Hôpital de La Pitié-Salpêtrière, Paris, France.
Foudil LamariDepartment of Metabolic Biochemistry, AP-HP, Hôpital de La Pitié-Salpêtrière, Paris, France.
Benoit RuchetonDepartment of Metabolic Biochemistry, AP-HP, Hôpital de La Pitié-Salpêtrière, Paris, France.
Dominique Bonnefont-RousselotFaculté de Pharmacie, Université de Paris, Paris, France.
Mario ChavezSorbonne Université, Institut du Cerveau, Paris Brain Institute, ICM, Inserm, CNRS, APHP, Hôpital de la Pitié-Salpêtrière, DMU Neurosciences 6, Paris, France.ORCID http://orcid.org/0000-0003-0390-4833
Vincent NavarroSorbonne Université, Institut du Cerveau, Paris Brain Institute, ICM, Inserm, CNRS, APHP, Hôpital de la Pitié-Salpêtrière, DMU Neurosciences 6, Paris, France. vincent.navarro@aphp.fr.ORCID http://orcid.org/0000-0003-0077-8114
Centre National de la Recherche Scientifique · FRSorbonne Université · FRHôpital Necker-Enfants Malades · FRInserm · FRUniversité Sorbonne Nouvelle · FR

Funding

Agence Nationale de la Recherche ANR-10-IAIHU-06Fondation Assitance Publique-Hôpitaux de Paris EPIRES- Marie Laure PLV MerchandisingFondation pour la Recherche Médicale FDM20170839111
6 · The paper itself

Abstract

Prediction of mortality, functional outcome and recovery after status epilepticus (SE) is a challenge. Biological and clinical markers have been proposed to reflect the brain injury or to monitor critical ill patients' severity. The aim of this study was to characterize short-term and long-term prognostic factors for SE patients hospitalized in intensive care unit. Patient's outcome was assessed using the modified Rankin Scale at discharge and after 6-12 months. We first assessed the univariate prognosis significance of 51 clinical, demographic or biochemical markers. Next, we built multivariate clinico-biological models by combining most important factors. Statistical models' performances were compared to those of two previous published scales STESS and mSTESS. Eighty-one patients were enrolled. Thirty-five patients showed a steady state while 46 patients clinically worsened at discharge: 14 died, 14 had persistent disability at 6-12 months and 18 recovered. Logistic regression analysis revealed that clinical markers (SE refractoriness, SE duration, de novo SE) were significant independent predictors of worsening while lipids markers and progranulin better predicted mortality. The association of clinico-biological variables allowed to accurately predict worsening at discharge (AUC > 0.72), mortality at discharge (AUC 0.83) and recovery at long-term (AUC 0.89). Previous scales provided lower prediction for worsening (AUC 0.63, STESS; 0.53, mSTESS) and mortality (AUC 0.56, STESS; 0.62, mSTESS) (p < 0.001). We proposed new clinico-biological models with a strong discrimination power for prediction of short- and long-term outcome of hospitalized status epilepticus patients. Their implementation in electronic devices may enhance their clinical liability.

Indexed as

Status EpilepticusAdultBiomarkersHumansLipidsPrognosisProgranulinsRetrospective StudiesSeverity of Illness IndexBiomarkersLipidsProgranulinsClinico-biological scoresPrognosisRecoveryStatus epilepticus

Identifiers

PMID35768546
OpenAlexW4283740252

What OpenQuestion holds

Textmetadata
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.