Department of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China.
Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China.
Med Clin (Barc). 2021 Apr 9;156(7):324-331. doi: 10.1016/j.medcli.2020.11.030. Epub 2020 Dec 25.
The aim of this study was to evaluate hyperferritinemia could be a predicting factor of mortality in hospitalized patients with coronavirus disease-2019 (COVID-19).
A total of 100 hospitalized patients with COVID-19 in intensive care unit (ICU) were enrolled and classified into moderate (n=17), severe (n=40) and critical groups (n=43). Clinical information and laboratory results were collected and the concentrations of ferritin were compared among different groups. The association between ferritin and mortality was evaluated by logistic regression analysis. Moreover, the efficiency of the predicting value was assessed using receiver operating characteristic (ROC) curve.
The amount of ferritin was significantly higher in critical group compared with moderate and severe groups. The median of ferritin concentration was about three times higher in death group than survival group (1722.25μg/L vs. 501.90μg/L, p<0.01). The concentration of ferritin was positively correlated with other inflammatory cytokines, such as interleukin (IL)-8, IL-10, C-reactive protein (CRP) and tumor necrosis factor (TNF)-α. Logistic regression analysis demonstrated that ferritin was an independent predictor of in-hospital mortality. Especially, high-ferritin group was associated with higher incidence of mortality, with adjusted odds ratio of 104.97 [95% confidence interval (CI) 2.63-4185.89; p=0.013]. Moreover, ferritin had an advantage of discriminative capacity with the area under ROC (AUC) of 0.822 (95% CI 0.737-0.907) higher than procalcitonin and CRP.
The ferritin measured at admission may serve as an independent factor for predicting in-hospital mortality in patients with COVID-19 in ICU.
本研究旨在评估高血清铁蛋白是否可作为预测 2019 年冠状病毒病(COVID-19)住院患者死亡率的指标。
共纳入 100 例入住重症监护病房(ICU)的 COVID-19 住院患者,分为中度(n=17)、重度(n=40)和危重症组(n=43)。收集临床资料和实验室结果,并比较不同组间铁蛋白浓度。采用 logistic 回归分析评估铁蛋白与死亡率的相关性。此外,采用受试者工作特征(ROC)曲线评估预测价值的效率。
危重症组铁蛋白含量明显高于中、重度组。死亡组铁蛋白浓度中位数明显高于存活组(1722.25μg/L vs. 501.90μg/L,p<0.01)。铁蛋白浓度与其他炎症细胞因子呈正相关,如白细胞介素(IL)-8、IL-10、C 反应蛋白(CRP)和肿瘤坏死因子(TNF)-α。logistic 回归分析表明,铁蛋白是住院死亡率的独立预测指标。特别是,高铁蛋白组死亡率更高,校正比值比为 104.97[95%可信区间(CI)2.63-4185.89;p=0.013]。此外,铁蛋白的判别能力优于降钙素原和 CRP,ROC 曲线下面积(AUC)为 0.822(95%CI 0.737-0.907)。
入院时的铁蛋白测定可作为预测 ICU 中 COVID-19 患者住院死亡率的独立因素。