C-反应蛋白、降钙素原、白细胞介素-6 和中性粒细胞/淋巴细胞比值作为 COVID-19 实验室生物标志物的作用。

Rusul S F Al-Juboori, Y. J. Al-bayaa
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摘要

白细胞介素-6(IL-6)、降钙素原(PCT)、C反应蛋白(CRP)和中性粒细胞-淋巴细胞比值(NLR)等生物标志物在2019年重症冠状病毒病(COVID-19)的发病机制中发挥作用。本研究旨在探讨严重和非严重COVID-19病例血清中此类生物标志物水平的差异,并与正常人进行比较,同时评估社会人口学变量和慢性疾病对COVID-19严重程度的影响。该研究包括 160 名受试者,分为两组,一组是由 80 名患者组成的病例组,另一组是由 80 名正常人组成的对照组。病例组分为两个亚组:40 名重症 COVID-19 患者和 40 名非重症患者。通过酶联免疫吸附测定法(ELISA)评估血液中的 IL-6,通过免疫测定法评估 PCT,通过免疫比浊测定法评估 CRP,通过全血细胞计数法评估 NLR。病例组的 IL-6、PCT、CRP 和 NLR 水平明显高于对照组(P=0.001)。然而,非重度 COVID-19 亚组与对照组的这些生物标志物水平没有差异(均 p>0.05)。在年龄大于 50 岁的患者和慢性病患者中,重度 COVID-19 的比例明显更高(分别为 p=0.046 和 p=0.001)。我们还发现,此类生物标志物与高龄、慢性病与疾病严重程度之间存在很强的相关性。在患者亚组和对照组之间,三种生物标志物(IL-6、PCT、CRP 和 NLR)的水平存在明显差异。总之,由于这些生物标志物的水平与 COVID-19 疾病的严重程度相关,且严重症状组和非严重症状组之间的水平存在差异,我们认为这些生物标志物在预测 COVID-19 疾病的严重程度及其不良预后方面发挥了作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The role of C-reactive protein, procalcitonin, interleukin-6 and neutrophil / lymphocyte ratio as a laboratory biomarker in COVID-19.
Biomarkers such as Interleukin-6 (IL-6), Procalcitonin (PCT), C-reactive protein (CRP) and Neutrophil-Lymphocyte Ratio (NLR) have a role in the pathogenesis of severe coronavirus disease 2019 (COVID-19). The aim of this study was to explore the differences between serum levels of such biomarkers in severe and non-severe COVID-19 cases and compare them with normal people and to evaluate the sociodemographic variables and chronic diseases effect on the severity of COVID-19. The study included 160 subjects, divided into two groups, a case group of 80 patients, and a control group of 80 normal persons. The case group was divided into two subgroups: 40 severe COVID-19 patients and 40 patients with non-severe disease. Blood IL-6 was assessed by an enzyme-linked immunosorbent assay (ELISA), PCT by an immunoassay, CRP by an immunoturbidimetric assay and NLR from CBC. The levels of IL-6, PCT, CRP, and NLR were significantly higher in the case group than in control group (p= 0.001, for all). However, there was no difference between these biomarkers level in the non-severe COVID-19 subgroup and the control group (p>0.05 for all). The proportion of severe COVID-19 was significantly higher in patients aged >50 years, and in patients with chronic diseases (p=0.046 and p=0.001, respectively). We also found a strong correlation between such biomarkers and old age, and chronic diseases with the disease severity. There was a significant difference in the level of the three biomarkers (IL-6, PCT, CRP, and NLR) between patients' subgroups and the control group. In conclusion, since the levels of these biomarkers are correlated with the severity of the COVID-19 disease, and there was a difference in the levels between the groups with severe and non-severe symptoms, we suggest a role of these biomarkers in predicting the severity COVID-19 disease and its poor prognosis.
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