Evidence map›Paper›PMID 33162345›Full record

ArticleInternational immunopharmacology2021

Application value of artificial liver support system in the treatment of cytokine storm in patients with COVID-19.

Qi Xia, Kaijin Xu, Liang Yu, Huafen Zhang, Lanjuan Li

Abstract read
In one paragraph

Article in International immunopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Qi XiaDepartment of Infectious Disease, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang, China; Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Zhejiang University, Hangzhou, Zhejiang 310003, China. Electronic address: xiaqi@zju.edu.cn.
Kaijin XuDepartment of Infectious Disease, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang, China.
Liang YuDepartment of Infectious Disease, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang, China.
Huafen ZhangDepartment of Infectious Disease, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang, China.
Lanjuan LiDepartment of Infectious Disease, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang, China; Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Zhejiang University, Hangzhou, Zhejiang 310003, China. Electronic address: ljli@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the application value of artificial liver support system in the clinical treatment of coronavirus disease 2019 (COVID-19) patients with cytokine storm.

methodsSix cases of severe or critically severe COVID-19 patients treated in The First Affiliated Hospital, College of Medicine, Zhejiang University from January 22 to February 4, 2020 were recruited, and all of them received artificial liver support treatment. Statistical analysis was carried out on the change of cytokines (TNF-α, IL-10, IL-6, IFN-γ, IL-2, IL-4), inflammation-related indicators (white blood cell, neutrophil, lymphocyte, C-reactive protein and procalcitonin), immune-related indicators (B lymphocyte percentage, natural killer cell percentage, CD3

resultsThe levels of cytokines (IL-6 and IL-10) were effectively reduced in the 6 patients after treatment with the artificial liver support system. Meanwhile, the proportions of patients with abnormal TNF-α, IL-10, IL-6 and IFN-γ were all decreased (p < 0.05). The levels of inflammation-related indicators including white blood cell, C-reactive protein and procalcitonin, and the proportions of patients with these abnormal indicators were both significantly reduced (p < 0.05). The level of neutrophil was not effectively reduced before and after the treatment, but the proportion was significantly reduced (p < 0.05). However, the abnormality of lymphocyte in the patients was not improved. There was no significant difference in immune-related indicators, AST and ALT before and after the treatment (p > 0.05). CT imaging showed that the artificial liver support treatment contributed to absorption of pulmonary lesions.

conclusionsThe artificial liver support system had a great clinical effect in the treatment of cytokine storm and inflammation in COVID-19 patients, and it could promote the absorption of infected lesions.

Indexed as

Liver, ArtificialAgedAlanine TransaminaseAspartate AminotransferasesCOVID-19Cytokine Release SyndromeCytokinesFemaleHumansLife Support CareLungLymphocytesMaleMiddle AgedSARS-CoV-2Alanine TransaminaseAspartate AminotransferasesCytokinesArtificial liver support systemCOVID-19Cytokine stormPlasma exchange

Identifiers

PMID33162345
PMCPMC7604162

What OpenQuestion holds

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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.