Evidence map›Paper›PMID 39680217›Full record

Observational studyJournal of neurology2024

Risk factors of long-term brain health outcomes after hospitalization for critical illness.

C Peinkhofer, C S Grønkjær, L E Bang, L Fonsmark, J-U Stæhr Jensen, T L Katzenstein, J Kjaergaard, A Lebech, C Merie, V Nersesjan and 4 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

C PeinkhoferDepartment of Neurology, Copenhagen University Hospital, Rigshospitalet, Inge Lehmanns Vej 8, 2100, Copenhagen, Denmark.
C S GrønkjærBiological and Precision Psychiatry, Copenhagen Research Center for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Bispebjerg Bakke 23, NV 2400, Copenhagen, Denmark.
L E BangDepartment of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
L FonsmarkDepartment of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
J-U Stæhr JensenDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
T L KatzensteinDepartment of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
J KjaergaardDepartment of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
A LebechDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
C MerieDepartment of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
V NersesjanBiological and Precision Psychiatry, Copenhagen Research Center for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Bispebjerg Bakke 23, NV 2400, Copenhagen, Denmark.
P SivapalanDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
P ZarifkarDepartment of Neurology, Copenhagen University Hospital, Rigshospitalet, Inge Lehmanns Vej 8, 2100, Copenhagen, Denmark.
Michael E Benros *Biological and Precision Psychiatry, Copenhagen Research Center for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Bispebjerg Bakke 23, NV 2400, Copenhagen, Denmark.
Daniel Kondziella *Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Inge Lehmanns Vej 8, 2100, Copenhagen, Denmark. daniel.kondziella@regionh.dk.ORCID http://orcid.org/0000-0001-5562-9808

Funding

Lundbeck Foundation R268-2016-3925Lundbeck Foundation R278-2018-1411Lundbeck Foundation R349-2020-658Novo Nordisk Fonden NNF21OC0067769
6 · The paper itself

Abstract

backgroundBrain health may be impaired years after hospitalization for critical illness, and similar impairments occur after hospitalization for COVID-19. However, it remains unclear which patients are most likely to experience long-term brain health consequences and whether these adverse events differ between non-COVID critical illness and COVID-19.

methodsIn a prospective observational study, we enrolled patients hospitalized for (1) non-COVID critical illness (pneumonia, myocardial infarction, or ICU-requiring conditions) or for (2) COVID-19, from March 2020 to June 2021. Brain health was assessed at 18-month follow-up with cognitive, psychiatric, and neurological tests. We used both logistic regression and prediction models to test for associations between different variables and brain health.

resultsWe included 245 patients: 125 hospitalized for non-COVID critical illness and 120 for COVID-19 [mean age 61.2 (± 13.6) years, 42% women]. Brain health was impaired in 76% of patients (72% critical illness, 81% COVID-19; p = 0.14) at 18-month follow-up. The strongest predictive factors associated with impaired brain health were education < 13 years, age ≥ 70 years, and neuroticism traits in the best performing model (AUC = 0.63). When analyzing non-COVID critical illness and COVID-19 patients separately, low education was one of the few factors associated with impaired brain health in both groups (AUCs for best models: 0.66 and 0.69).

conclusionBrain health is comparably impaired after hospitalization for critical illness and COVID-19. Factors like higher age, lower education and neuroticism may help identifying vulnerable individuals, who could benefit from close monitoring to improve brain health after critical illness, regardless of the underlying disease etiology.

Indexed as

COVID-19Critical IllnessHospitalizationAgedBrainFemaleFollow-Up StudiesHumansMaleMiddle AgedNeuroticismProspective StudiesRisk FactorsBrain healthCOVID-19Critical illnessPredictorsRisk factors

Identifiers

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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.