Evidence map›Paper›PMID 38055180›Full record

ArticleAnnals of intensive care2023

Characteristics and prognostic factors of bacterial meningitis in the intensive care unit: a prospective nationwide cohort study.

Nora Chekrouni, Merel Kroon, Evelien H G M Drost, Thijs M van Soest, Merijn W Bijlsma, Matthijs C Brouwer, Diederik van de Beek

Open access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 7 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

7 authors at 1 institution in 1 country.

Nora Chekrouni *Amsterdam UMC, Department of Neurology, University of Amsterdam, Amsterdam Neuroscience, Meibergdreef, PO Box 22660, 1100DD, Amsterdam, The Netherlands.ORCID http://orcid.org/0009-0004-3414-5184
Merel Kroon *Amsterdam UMC, Department of Neurology, University of Amsterdam, Amsterdam Neuroscience, Meibergdreef, PO Box 22660, 1100DD, Amsterdam, The Netherlands.
Evelien H G M DrostAmsterdam UMC, Department of Neurology, University of Amsterdam, Amsterdam Neuroscience, Meibergdreef, PO Box 22660, 1100DD, Amsterdam, The Netherlands.
Thijs M van SoestAmsterdam UMC, Department of Neurology, University of Amsterdam, Amsterdam Neuroscience, Meibergdreef, PO Box 22660, 1100DD, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-3487-4067
Merijn W BijlsmaAmsterdam UMC, Department of Neurology, University of Amsterdam, Amsterdam Neuroscience, Meibergdreef, PO Box 22660, 1100DD, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-3246-5083
Matthijs C BrouwerAmsterdam UMC, Department of Neurology, University of Amsterdam, Amsterdam Neuroscience, Meibergdreef, PO Box 22660, 1100DD, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-7775-7843
Diederik van de BeekAmsterdam UMC, Department of Neurology, University of Amsterdam, Amsterdam Neuroscience, Meibergdreef, PO Box 22660, 1100DD, Amsterdam, The Netherlands. d.vandebeek@amsterdamumc.nl.ORCID http://orcid.org/0000-0002-4571-044X
Amsterdam Neuroscience · NL

Funding

ZonMw 917.17.308ZonMw 918.19.627
6 · The paper itself

Abstract

backgroundPatients with bacterial meningitis can be severely ill necessitating intensive care unit (ICU) treatment. Here, we describe clinical features and prognostic factors of adults with bacterial meningitis admitted to the ICU in a nationwide prospective cohort study.

methodsWe prospectively assessed clinical features and outcome of adults (age > 16 years) with community-acquired bacterial meningitis included in the MeninGene study between March 1, 2006 and July 1, 2022, that were initially admitted to the ICU. We identified independent predictors for initial ICU admission and for unfavourable outcome (Glasgow Outcome Scale score between 1-4) by multivariable logistic regression.

resultsA total of 2709 episodes of bacterial meningitis were included, of which 1369 (51%) were initially admitted to the ICU. We observed a decrease in proportion of patients being admitted to the ICU during the Covid-19 pandemic in 2020 (decreased to 39%, p = 0.004). Median age of the 1369 patients initially admitted to the ICU was 61 years (IQR 49-69), and the rates of unfavourable outcome (47%) and mortality (22%) were high. During the Covid-19 pandemic, we observed a trend towards an increase in unfavourable outcome. Prognostic factors predictive for initial ICU admission were younger age, immunocompromised state, male sex, factors associated with pneumococcal meningitis, and those indicative of systemic compromise. Independent predictors for unfavourable outcome in the initial ICU cohort were advanced age, admittance to an academic hospital, cranial nerve palsies or seizures on admission, low leukocyte count in blood, high C-reactive protein in blood, low CSF: blood glucose ratio, listerial meningitis, need for mechanical ventilation, circulatory shock and persistent fever. 204 of 1340 episodes (15%) that were initially not admitted to the ICU were secondarily transferred to the ICU. The rates of unfavourable outcome (66%) and mortality (30%) in this group were high.

conclusionsThe majority of patients with community-acquired bacterial meningitis are admitted to the ICU, and the unfavourable outcome and mortality rates of these patients remain high. Patients that are initially admitted to non-ICU wards but secondarily transferred to the ICU also had very high rates of unfavourable outcome.

Indexed as

AdmissionBacterial meningitisIntensive care unitPrognostic factorsUnfavourable outcome

Identifiers

PMID38055180
PMCPMC10700277
OpenAlexW4389381015

What OpenQuestion holds

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LicenceCC BY
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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.