Evidence map›Paper›PMID 36548347›Full record

ArticlePloS one2022

Delirium in hospitalized COVID-19 patients: Predictors and implications for patient outcome.

Vera Wilke, Mihaly Sulyok, Maria-Ioanna Stefanou, Vivien Richter, Benjamin Bender, Ulrike Ernemann, Ulf Ziemann, Nisar Malek, Katharina Kienzle, Constantin Klein and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 24 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

13 authors at 4 institutions in 2 countries.

Vera WilkeDepartment of Neurology and Stroke, University Hospital Tuebingen, Tuebingen, Germany.
Mihaly SulyokDepartment of Pathology and Neuropathology, Eberhard Karls University of Tuebingen, Tuebingen, Germany.
Maria-Ioanna StefanouSecond Department of Neurology, Medical School, National and Kapodistrian University of Athens, 'Attikon' University General Hospital, Athens, Greece.
Vivien RichterDepartment of Diagnostic and Interventional Neuroradiology, University Hospital Tuebingen, Tuebingen, Germany.
Benjamin BenderDepartment of Diagnostic and Interventional Neuroradiology, University Hospital Tuebingen, Tuebingen, Germany.ORCID 0000-0002-3205-4631
Ulrike ErnemannDepartment of Diagnostic and Interventional Neuroradiology, University Hospital Tuebingen, Tuebingen, Germany.
Ulf ZiemannDepartment of Neurology and Stroke, University Hospital Tuebingen, Tuebingen, Germany.ORCID 0000-0001-8372-3615
Nisar MalekDepartment of Internal Medicine I, University Hospital of Tuebingen, Tuebingen, Germany.
Katharina KienzleClinical Research Unit Tuebingen, German Center of Infectious Diseases (DZIF), Brunswick, Germany.
Constantin KleinDepartment of Internal Medicine I, University Hospital of Tuebingen, Tuebingen, Germany.
Stefanie BunkDepartment of Internal Medicine I, University Hospital of Tuebingen, Tuebingen, Germany.
Siri GoepelDepartment of Internal Medicine I, University Hospital of Tuebingen, Tuebingen, Germany.ORCID 0000-0002-7666-4634
Annerose MengelDepartment of Neurology and Stroke, University Hospital Tuebingen, Tuebingen, Germany.ORCID 0000-0002-2399-3020
University of Tübingen · DEHertie Institute for Clinical Brain Research · DEGerman Center for Infection Research · DENational and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDelirium is recognized as a severe complication of coronavirus-disease-2019 (COVID-19). COVID-19-associated delirium has been linked to worse patient outcomes and is considered to be of multifactorial origin. Here we sought to evaluate the incidence and risk factors of delirium in hospitalized COVID-19 patients, along with its impact on clinical outcome.

methodsConsecutive adult COVID-19 patients admitted to a tertiary academic referral hospital between March 1st and December 31st, 2020 were included. Potential risk factors for delirium were evaluated, including: age, gender, disease severity (as per the highest WHO grading reached during admission), laboratory parameters for infection and renal function (as per their most extreme values), and presence of comorbidities. To assess the relative strength of risk factors for predicting the occurrence of delirium, we performed a random-forest survival analysis.

results347 patients with positive COVID-19 PCR test and median age 68.2 [IQR 55.5, 80.5] years were included. Of those, 79 patients (22.8%) developed delirium, 81 (23.3%) were transferred to ICU, 58 (16.7%) died. 163 (73.8%) patients were discharged home, 13 (5.9%) to another hospital, 32 (14.5%) to nursing homes, 13 (5.9%) to rehabilitation with an overall median admission-to-discharge time of 53 [IQR 14, 195] days. The strongest predictors for the occurrence of delirium were blood urea nitrogen (minimal depth value (MD): 3.33), age (MD: 3.75), disease severity (as captured by WHO grading; MD: 3.93), leukocyte count (MD: 4.22), the presence of a neurodegenerative history (MD: 4.43), ferritin (MD: 4.46) and creatinine (MD: 4.59) levels.

conclusionThe risk of delirium in COVID-19 can be stratified based on COVID-19 disease severity and-similar to delirium associated with other respiratory infections-the factors advanced age, neurodegenerative disease history, and presence of elevated infection and renal-retention parameters. Screening for these risk factors may facilitate early identification of patients at high-risk for COVID-19-associated delirium.

Indexed as

COVID-19DeliriumNeurodegenerative DiseasesAdultAgedHumansRetrospective StudiesSARS-CoV-2Tertiary Care Centers

Identifiers

PMID36548347
PMCPMC9778494
OpenAlexW4312097927

What OpenQuestion holds

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LicenceCC BY
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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.