Evidence map›Paper›PMID 39187469›Full record

ArticleThe clinical respiratory journal2024

Prediction of Clinical Severity of COVID-19 Using a Combination of Heparin-Binding Protein, Interleukin-6, and C-Reactive Protein: A Retrospective Study.

Yidan Gao, Ke Zhao, Jing Liu, Xiangbo Zhang, Ling Gong, Xiang Zhou, Gongying Chen

Abstract read
In one paragraph

Article in The clinical respiratory journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

7 authors.

Yidan GaoDepartment of Hepatology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0003-2217-9710
Ke ZhaoDepartment of Immunology and Pathogen Biology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Jing LiuDepartment of Hepatology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Xiangbo ZhangDepartment of Hepatology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Ling GongDepartment of Hepatology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Xiang ZhouDepartment of Hepatology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Gongying ChenDepartment of Hepatology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystemic inflammation stands as a pivotal factor tightly interwoven with the progression of COVID-19. This study endeavors to elucidate the significance of three key inflammatory molecules, that is, heparin-binding protein (HBP), interleukin-6 (IL-6), and C-reactive protein (CRP), in assessing the severity and prognostic implications of COVID-19.

methodsThe demographic, clinical, and laboratory data were retrospectively collected from a cohort of 214 adult patients diagnosed with COVID-19. Patients were divided into two groups: nonsevere (n = 93; 43.5%) and severe (n = 121; 56.5%). Additionally, based on their organ function, patients were categorized into nonorgan failure (n = 137) and organ failure (n = 77) groups. The levels of inflammation-related cytokines were then compared among these defined groups.

resultsThe severe group was characterized by a higher proportion of males, older age, and longer hospital stays compared to nonsevere cases. Additionally, severe cases exhibited a higher prevalence of underlying diseases and organ failure. Statistical analysis revealed significantly elevated levels of HBP, IL-6, and CRP in the severe group. HBP, IL-6, and CRP were identified as independent risk factors for severe COVID-19. Furthermore, a combined assessment of these biomarkers demonstrated superior diagnostic sensitivity (85.10%) and specificity (95.70%) for predicting COVID-19 severity. A positive relationship between elevated HBP, IL-6, and CRP levels and impaired organ function was also observed. The predictive efficiency significantly increased (hazard ratio = 3.631, log-rank p = 0.003) when two or more of them were combinedly used. Notably, elevated levels of HBP, IL-6, and CRP were associated with an increased risk of mortality.

conclusionsIn conclusion, the combined assessment of HBP, IL-6, and CRP offers enhanced accuracy and specificity in predicting the severity, organ failure, and mortality risk associated with COVID-19.

Indexed as

BiomarkersCOVID-19C-Reactive ProteinInterleukin-6Severity of Illness IndexAdultAgedAntimicrobial Cationic PeptidesBlood ProteinsCarrier ProteinsFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisAntimicrobial Cationic PeptidesAZU1 protein, humanBiomarkersBlood ProteinsCarrier ProteinsC-Reactive ProteinIL6 protein, humanInterleukin-6COVID‐19C‐reactive proteinheparin‐binding proteininterleukin‐6prognostic markerSARS‐CoV‐2

Identifiers

PMID39187469
PMCPMC11347126

What Socratic holds

Textmetadata
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 Socratic graph.