Evidence map›Paper›PMID 32544099›Full record

ArticleJCI insight2020

IL-6 and CD8+ T cell counts combined are an early predictor of in-hospital mortality of patients with COVID-19.

Miao Luo, Jing Liu, Weiling Jiang, Shuang Yue, Huiguo Liu, Shuang Wei

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 11 pooled it
3.1field-weighted citation impact, top 5% 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

94 citing papers in PubMed, 11 syntheses or guidelines pooled it, 140 citations in OpenAlex.

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  4. Associations between Serum Interleukins (IL-1BioMed research international · 2022
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  16. Deep insight into cytokine storm: from pathogenesis to treatment.Signal transduction and targeted therapy · 2025
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34 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Miao LuoDepartment of Respiratory and Critical Care Medicine, Tongji Hospital, and.
Jing LiuDepartment of Radiology, Wuhan Pulmonary Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Weiling JiangDepartment of Respiratory and Critical Care Medicine, Tongji Hospital, and.
Shuang YueDepartment of Respiratory and Critical Care Medicine, Tongji Hospital, and.
Huiguo LiuDepartment of Respiratory and Critical Care Medicine, Tongji Hospital, and.
Shuang WeiDepartment of Respiratory and Critical Care Medicine, Tongji Hospital, and.
Tongji Hospital · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUNDFatal cases of COVID-19 are increasing globally. We retrospectively investigated the potential of immunologic parameters as early predictors of COVID-19.METHODSA total of 1018 patients with confirmed COVID-19 were enrolled in our 2-center retrospective study. Clinical feature, laboratory test, immunological test, radiological findings, and outcomes data were collected. Univariate and multivariable logistic regression analyses were performed to evaluate factors associated with in-hospital mortality. Receiver operator characteristic (ROC) curves and survival curves were plotted to evaluate their clinical utility.RESULTSThe counts of all T lymphocyte subsets were markedly lower in nonsurvivors than in survivors, especially CD8+ T cells. Among all tested cytokines, IL-6 was elevated most significantly, with an upward trend of more than 10-fold. Using multivariate logistic regression analysis, IL-6 levels of more than 20 pg/mL and CD8+ T cell counts of less than 165 cells/μL were found to be associated with in-hospital mortality after adjusting for confounding factors. Groups with IL-6 levels of more than 20 pg/mL and CD8+ T cell counts of less than 165 cells/μL had a higher percentage of older and male patients as well as a higher proportion of patients with comorbidities, ventilation, intensive care unit admission, shock, and death. Furthermore, the receiver operating curve of the model combining IL-6 (>20 pg/mL) and CD8+ T cell counts (<165 cells/μL) displayed a more favorable discrimination than that of the CURB-65 score. The Hosmer-Lemeshow test showed a good fit of the model, with no statistical significance.CONCLUSIONIL-6 (>20 pg/mL) and CD8+ T cell counts (<165 cells/μL) are 2 reliable prognostic indicators that accurately stratify patients into risk categories and predict COVID-19 mortality.FundingThis work was supported by funding from the National Natural Science Foundation of China (no. 81772477 and 81201848).

Indexed as

CD8-Positive T-LymphocytesHospital MortalityAgedArea Under CurveBetacoronavirusCoronavirus InfectionsCOVID-19FemaleHumansInterleukin-10Interleukin-6Interleukin-8Logistic ModelsLymphocyte CountLymphopeniaMaleCXCL8 protein, humanIL10 protein, humanIL6 protein, humanInterleukin-10Interleukin-6Interleukin-8Receptors, Interleukin-2TNF protein, humanTumor Necrosis Factor-alphaCytokinesInfectious diseasePulmonologyT cells

Identifiers

PMID32544099
PMCPMC7406244
OpenAlexW3034328076

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.