Evidence map›Paper›PMID 34991059›Full record

ArticleCytokine2022

Role of immune mediators in predicting hospitalization of SARS-CoV-2 positive patients.

S Ashrafzadeh-Kian, M R Campbell, J C Jara Aguirre, J Walsh, A Kumanovics, G Jenkinson, P Rinaldo, M R Snyder, A Algeciras-Schimnich

Open access · greenAbstract read
In one paragraph

Article in Cytokine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 13 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

9 authors at 4 institutions in 1 country.

S Ashrafzadeh-KianDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
M R CampbellDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
J C Jara AguirreDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA; Division of Pathology and Laboratory Medicine, Children's National Hospital, Washington, DC, USA.
J WalshDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
A KumanovicsDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
G JenkinsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
P RinaldoDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
M R SnyderDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
A Algeciras-SchimnichDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA. Electronic address: Algeciras.Alicia@mayo.edu.
Mayo Clinic in Arizona · USMayo Clinic in Florida · USWinnMed · USMayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral immune mediators (IM) including cytokines, chemokines, and their receptors have been suggested to play a role in COVID-19 pathophysiology and severity.

aimTo determine if early IM profiles are predictive of clinical outcome and which of the IMs tested possess the most clinical utility.

methodsA custom bead-based multiplex assay was used to measure IM concentrations in a cohort of SARS-CoV-2 PCR positive patients (n = 326) with varying disease severities as determined by hospitalization status, length of hospital stay, and survival. Patient groups were compared, and clinical utility was assessed. Correlation plots were constructed to determine if significant relationships exist between the IMs in the setting of COVID-19.

resultsIn PCR positive SARS-CoV-2 patients, IL-6 was the best predictor of the need for hospitalization and length of stay. Additionally, MCP-1 and sIL-2Rα were moderate predictors of the need for hospitalization. Hospitalized PCR positive SARS-CoV-2 patients displayed a notable correlation between sIL-2Rα and IL-18 (Spearman's ρ = 0.48, P=<0.0001).

conclusionsIM profiles between non-hospitalized and hospitalized patients were distinct. IL-6 was the best predictor of COVID-19 severity among all the IMs tested.

Indexed as

HospitalizationSARS-CoV-2AdultArea Under CurveBiomarkersChemokinesCOVID-19C-Reactive ProteinCytokinesFemaleFerritinsFibrin Fibrinogen Degradation ProductsHospital MortalityHumansInterleukin-6Length of StayBiomarkersChemokinesC-Reactive ProteinCytokinesFerritinsFibrin Fibrinogen Degradation Productsfibrin fragment DIL6 protein, humanInterleukin-6Receptors, ChemokineReceptors, CytokineCOVID-19HospitalizationIL-6Immune mediatorMultiplex assaySARS-CoV-2

Identifiers

PMID34991059
PMCPMC8709828
OpenAlexW4200219961

What OpenQuestion holds

Textmetadata
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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.