Evidence map›Paper›PMID 38586093›Full record

ArticleAmerican journal of translational research2024

Changes in TNF-α, IL-33, and MIP-1α before and after artificial liver support treatment and their prognostic value.

Jian Zhou, Zhengmao Yang, Xiaoqing Yang, Zhaoxun Wang

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Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jian ZhouDepartment of Infection/Liver Disease, The No. 2 People's Hospital of Lanzhou No. 100 Yanbei Road, Chengguan District, Lanzhou 730010, Gansu, China.
Zhengmao YangDepartment of Infection/Liver Disease, The No. 2 People's Hospital of Lanzhou No. 100 Yanbei Road, Chengguan District, Lanzhou 730010, Gansu, China.
Xiaoqing YangDepartment of Infection/Liver Disease, The No. 2 People's Hospital of Lanzhou No. 100 Yanbei Road, Chengguan District, Lanzhou 730010, Gansu, China.
Zhaoxun WangDepartment of Infection/Liver Disease, The No. 2 People's Hospital of Lanzhou No. 100 Yanbei Road, Chengguan District, Lanzhou 730010, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the effect of ALST (artificial liver support treatment) on inflammatory factors and prognosis in patients with ACLF (acute-on-chronic liver failure).

methodsData of ACLF patients admitted to the No. 2 People's Hospital of Lanzhou from June 2020 to January 2023 were retrospectively analyzed. Patients were compared before and after ALST in terms of ALT (Alanine Aminotransferase), AST (Aspartate Aminotransferase), TBil (Total Bilirubin), Cr (Creatinine), INR (International Normalized Ratio), MELD (Model for End-Stage Liver Disease) scores, as well as TNF-α (Tumor Necrosis Factor-α), IL-33 (Interleukin-33), and MIP-1α (Macrophage Inflammatory Protein-1 α) levels. The ROC (receiver operating characteristic) curve was used to analyze the efficacy of the above indicators in predicting 90-day mortality in patients.

resultsAfter the treatment, the levels of ALT, AST, TBil, Cr, INR, and MELD score were significantly lower than those before treatment (all P<0.001). Also, the levels of TNF-α, IL-33, and MIP-1α were substantially lower than those before treatment (all P<0.001). TNF-α, IL-33, and MIP-1α were positively correlated with MELD score before and after the treatment (all P<0.01). TNF-α, IL-33, MIP-1α, and MELD score were significantly higher in the death group than in the survival group (all P<0.01). The ROC curves showed that MELD (AUC=0.857), TNF-α (AUC=0.836), IL-33 (AUC=0.749), and MIP-1α (AUC=0.746) had high efficacy in predicting patients' 90-day mortality.

conclusionALST can significantly reduce TNF-α, IL-33, and MIP-1α levels in patients with ACLF, and postoperative TNF-α, IL-33, and MIP-1α levels have a high predictive value for patients' prognosis.

Indexed as

acute on chronic liver failureartificial liver therapiesIL-33MIP-1αTNF-α

Identifiers

PMID38586093
PMCPMC10994792

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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.