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肿瘤坏死因子-α、白细胞介素-1β和单核细胞趋化蛋白-1对COVID-19患者生存的潜在预测作用

The Potential Predictive Role of Tumour Necrosis Factor-α, Interleukin-1β, and Monocyte Chemoattractant Protein-1 for COVID-19 Patients Survival.

作者信息

Kumboyono Kumboyono, Chomsy Indah Nur, Iskandar Agustin, Aryati Aryati, Parwati Ida, Wihastuti Titin Andri

机构信息

Nursing Department, Faculty of Health Sciences, University of Brawijaya, Malang, 65151, Indonesia.

Doctoral Program of Medical Science, Faculty of Medicine, University of Brawijaya, Malang, 65145, Indonesia.

出版信息

Infect Drug Resist. 2022 Mar 4;15:821-829. doi: 10.2147/IDR.S348392. eCollection 2022.

DOI:10.2147/IDR.S348392
PMID:35281571
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8904436/
Abstract

BACKGROUND

Tumour necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and monocyte chemoattractant protein-1 (MCP-1) are early phase cytokines often encountered when the body is exposed to severe acute respiratory syndrome-associated-coronavirus-2. TNF-α, IL-1β, and MCP-1 are pro-inflammatory cytokines critical in the defence response against systemic infection and injury. Therefore, TNF-α, IL-1β, and MCP-1 are the most aggressive responses to viral infections in the acute phase, so they can be used to determine the survival of coronavirus disease 2019 (COVID-19) patients.

PURPOSE

The study aimed to determine the levels of TNF-α, IL-1β, and MCP-1 as predictors of survival for COVID-19 patients.

PATIENTS AND METHODS

A prospective cohort study was conducted on confirmed COVID-19 by a reverse-transcriptase-polymerase-chain-reaction (RT-PCR) in 84 adults admitted to the hospital in Indonesia. TNF-α, IL-1β, and MCP-1 level were measured from serum subjects using the enzyme-linked immunosorbent assay.

RESULTS

The results from logistic regression modelling of the survival status of COVID-19 patients based on TNF-α, IL-1β, and MCP-1 levels were significant (p-value=0.024). The predictors of all cytokines had P Wald <0.05, so the three cytokines could be used simultaneously to predict the survival status of COVID-19 patients. MCP-1 has the most dominant risk relative value (2.76; 95% CI; 2.53-4.68) compared to TNF-α and IL-1β in predicting patient survival.

CONCLUSION

TNF-α, IL-1β, and MCP-1 as markers of acute systemic inflammatory cytokines can be measured at the beginning of hospitalisation of COVID-19 patients for early diagnosis of disease severity so that healthcare professionals can determine clinical guidance needs for therapeutic programs.

摘要

背景

肿瘤坏死因子-α(TNF-α)、白细胞介素-1β(IL-1β)和单核细胞趋化蛋白-1(MCP-1)是机体暴露于严重急性呼吸综合征冠状病毒2时常见的早期细胞因子。TNF-α、IL-1β和MCP-1是促炎细胞因子,在针对全身感染和损伤的防御反应中起关键作用。因此,TNF-α、IL-1β和MCP-1是急性期对病毒感染最强烈的反应,可用于判定2019冠状病毒病(COVID-19)患者的生存情况。

目的

本研究旨在测定TNF-α、IL-1β和MCP-1水平,作为COVID-19患者生存情况的预测指标。

患者与方法

对印度尼西亚一家医院收治的84例确诊为COVID-19的成年患者进行前瞻性队列研究,通过逆转录聚合酶链反应(RT-PCR)确诊。采用酶联免疫吸附测定法检测血清样本中TNF-α、IL-1β和MCP-1水平。

结果

基于TNF-α、IL-1β和MCP-1水平对COVID-19患者生存状态进行逻辑回归建模的结果具有显著性(p值=0.024)。所有细胞因子预测指标的P Wald<0.05,因此这三种细胞因子可同时用于预测COVID-19患者的生存状态。在预测患者生存方面,与TNF-α和IL-1β相比,MCP-1具有最显著的风险相对值(2.76;95%置信区间;2.53 - 4.68)。

结论

TNF-α、IL-1β和MCP-1作为急性全身炎症细胞因子的标志物,可在COVID-19患者入院时进行检测,以早期诊断疾病严重程度,从而使医护人员能够确定治疗方案的临床指导需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40ab/8904436/714249ce11be/IDR-15-821-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40ab/8904436/a5f0c7f0069b/IDR-15-821-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40ab/8904436/f146984b1e00/IDR-15-821-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40ab/8904436/714249ce11be/IDR-15-821-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40ab/8904436/a5f0c7f0069b/IDR-15-821-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40ab/8904436/f146984b1e00/IDR-15-821-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40ab/8904436/714249ce11be/IDR-15-821-g0003.jpg

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