Evidence map›Paper›PMID 39692539›Full record

ArticleImmunity, inflammation and disease2024

Blood Inflammatory Markers and Cytokines in COVID-19 Patients With Bacterial Coinfections.

Qingqing Bi, Jie Zhu, Jinju Zheng, Qingyun Xu, Juan Chen, Lei Zhang, Xiaofeng Mu

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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.

Qingqing BiDepartment of Laboratory Medicine, Qingdao Central Hospital, Qingdao, China.
Jie ZhuDepartment of Laboratory Medicine, Qingdao Central Hospital, Qingdao, China.
Jinju ZhengDepartment of Laboratory Medicine, Qingdao Central Hospital, Qingdao, China.
Qingyun XuDepartment of Laboratory Medicine, Qingdao Central Hospital, Qingdao, China.
Juan ChenDepartment of Laboratory Medicine, Qingdao Central Hospital, Qingdao, China.
Lei ZhangDepartment of Laboratory Medicine, Qingdao Central Hospital, Qingdao, China.
Xiaofeng MuDepartment of Laboratory Medicine, Qingdao Central Hospital, Qingdao, China.ORCID 0000-0002-2091-3267

Funding

The authors received no specific funding for this work.
6 · The paper itself

Abstract

backgroundBacterial coinfection in patients with SARS-CoV-2 infection is an important risk factor for death. This study investigated whether there were differences in levels of serum inflammatory markers in COVID-19 patients with bacterial coinfections compared with those without bacterial infection.

methodsA total of 235 inpatients with SARS-CoV-2 infection admitted to Qingdao Central Hospital from December 7, 2022, to August 7, 2024, were included. Patients were divided into a bacteria-positive group (115 cases) and a bacteria-negative group (120 cases) according to whether they had bacterial coinfections. PCT, CRP, and 12 kinds of cytokines were compared between groups, and the distribution of bacterial species in the positive group was statistically analyzed.

resultsThe serum levels of CRP (Z = 8.94, p < 0.001), PCT (Z = 5.59, p < 0.001), IL-1β (t = 4.863, p < 0.001), IL-2 (t = 5.810, p < 0.001), IL-5 (t = 3.837, p < 0.001), IL-6 (t = 4.910, p < 0.001), IL-8 (t = 3.325, p < 0.001), ILIL-12p70 (t = 4.722, p < 0.001), IL-17 (t = 3.315, p = 0.001) and TNF-α (t = 4.251, p < 0.001) between the two groups were significantly different. IL-4, IL-10, IFN-α, and IFN-γ were not statistically significant (p > 0.05). Among the 115 bacteria-positive patients, 56 patients were positive for one species and 59 patients were multiple infections. Acinetobacter baumannii, Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphylococcus aureus, and Haemophilus influenzae were common species.

conclusionsSerum PCT and CRP levels in COVID-19 patients with bacterial coinfection are higher than those without bacterial infection. Cytokines such as IL-1β, IL-2, IL-5, IL-6, IL-8, IL-12p70, IL-17, and TNF-α may be involved in the progression of COVID-19 combined with bacterial infection. They can be used as potential markers to evaluate the disease condition and prognosis.

Indexed as

Bacterial InfectionsBiomarkersCoinfectionCOVID-19CytokinesSARS-CoV-2AdultAgedC-Reactive ProteinFemaleHumansMaleMiddle AgedBiomarkersC-Reactive ProteinCytokinesbacterial coinfectionCOVID‐19cytokinesinflammatory markers

Identifiers

PMID39692539
PMCPMC11653711

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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.