Respiratory Diseases and Lung Transplant Unit, Department of Medical and Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy.
Respiratory Diseases and Lung Transplant Unit, Department of Medical and Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy.
Cytokine. 2021 May;141:155455. doi: 10.1016/j.cyto.2021.155455. Epub 2021 Jan 28.
Severe acute respiratory syndrome caused by novel coronavirus 2 (SARS-CoV-2) emerged in Wuhan (China) in December 2019. Here we evaluated a panel of biomarkers to phenotype patients and to define the role of immuno-inflammatory mediators as biomarkers of severity.
Serum samples were obtained from 24 COVID-19 patients on admission to hospital, before any treatment or infusion of intravenous steroids or invasive ventilation. KL-6 IL-6 and C-peptide were measured by chemiluminescent enzyme immunoassay. IL-6 assay was validated for accuracy and precision. The validity of variables used to distinguish severe from mild-to-moderate patients was assessed by areas under curves (AUC) of the receiver operating characteristic (ROC) and logistic regression was performed to combine parameters of the two groups.
In the severe group, IL-6, CRP and KL-6 concentrations were significantly higher than in mild-to-moderate patients. KL-6, IL-6 and CRP concentrations were directly correlated with each other. ROC curve analysis of the logistic regression model including IL-6, KL-6 and CRP showed the best performance with an AUC of 0.95.
Besides corroborating previous reports of over-expression of IL-6 in severe COVID-19 patients requiring mechanical ventilation, analytical determination of other mediators showed that IL-6 concentrations were correlated with those of KL-6 and CRP. The combination of these three prognostic bioindicators made it possible to distinguish severe COVID-19 patients with poor prognosis from mild-to-moderate patients.
新型冠状病毒 2(SARS-CoV-2)引起的严重急性呼吸综合征于 2019 年 12 月在中国武汉爆发。在这里,我们评估了一组生物标志物,以表型患者,并确定免疫炎症介质作为严重程度的生物标志物的作用。
在接受静脉类固醇或有创通气治疗或输注之前,从 24 名 COVID-19 患者入院时获得血清样本。通过化学发光酶免疫测定法测量 KL-6、IL-6 和 C 肽。IL-6 测定法的准确性和精密度得到验证。通过接受者操作特性(ROC)曲线下面积(AUC)评估区分重症和轻中度患者的变量的有效性,并通过逻辑回归对两组参数进行组合。
在重症组中,IL-6、CRP 和 KL-6 浓度明显高于轻中度患者。KL-6、IL-6 和 CRP 浓度彼此直接相关。包括 IL-6、KL-6 和 CRP 的逻辑回归模型的 ROC 曲线分析显示 AUC 为 0.95,表现最佳。
除了证实以前关于需要机械通气的重症 COVID-19 患者中 IL-6 过度表达的报道外,对其他介质的分析测定表明,IL-6 浓度与 KL-6 和 CRP 浓度相关。这三种预后生物标志物的组合可区分预后不良的重症 COVID-19 患者与轻度至中度患者。