UNASSIGNED: The research study lasted for 3 months and involved 88 COVID-19 patients. According to the chest radiological examination, 47 (53.41%) individuals were found to have no PF, while 41 (46.59%) showed PF. Clinical data such as inflammation markers, imaging findings, blood gas analysis, and hospital stay length were collected.
UNASSIGNED: With area under the curve values of 0.7413, 0.7741, and 0.7048, respectively, and the study of the receiver operating characteristic curve demonstrated that mucin 1 (MUC1), carcinoembryonic antigen (CEA), and CXC chemokine receptor 10 (CXCL10) could diagnose the presence of COVID-19 PF. To evaluate the possibility of PF following severe acute respiratory syndrome coronavirus-2 infection, we established particular values for MUC1, CEA, and CXCL10 (1.296 ng/ml, 4.315 ng/ml, and 32.77 ng/ml, respectively). The survival curve for hospital days indicated that the length of hospital stays positively correlated with these three factors (P < 0.01). Transforming growth factor-beta did not correlate significantly with the severity of COVID-19 or PF.
UNASSIGNED: The results of this study suggested that the MUC1, CEA, and CXCL10 can be employed to explore the severity of secondary PF in COVID-19.
■这项研究持续了3个月,涉及88名COVID-19患者。根据胸部放射学检查,47人(53.41%)没有PF,41例(46.59%)显示PF。临床数据,如炎症标志物,影像学发现,血气分析,并收集住院时间。
■曲线下面积值分别为0.7413、0.7741和0.7048,对受试者工作特性曲线的研究表明,粘蛋白1(MUC1),癌胚抗原(CEA),CXC趋化因子受体10(CXCL10)可以诊断COVID-19PF的存在。评估严重急性呼吸综合征冠状病毒-2感染后PF的可能性,我们建立了MUC1、CEA、和CXCL10(1.296ng/ml,4.315ng/ml,和32.77ng/ml,分别)。住院天数的生存曲线表明住院时间与这三个因素呈正相关(P<0.01)。转化生长因子-β与COVID-19或PF的严重程度没有显着相关。
■这项研究的结果表明,MUC1,CEA,和CXCL10可用于探索COVID-19继发性PF的严重程度。