2019年冠状病毒疾病患者肺纤维化生物标志物的诊断和预测价值

IF 1 Q4 INFECTIOUS DISEASES Journal of Global Infectious Diseases Pub Date : 2024-05-24 DOI:10.4103/jgid.jgid_150_23
Jiapei Lv, Liping Chen, Huaying Wang
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引用次数: 0

摘要

在冠状病毒病 2019(COVID-19)中,尤其是在老年人中,免疫反应失调和异常修复可导致不同程度的继发性肺纤维化(PF)。通过检测一些指标,可以衡量肺纤维化的发生和预后,为COVID-19的治疗提供方向。 该研究历时3个月,共有88名COVID-19患者参与。胸部放射学检查结果显示,47例(53.41%)患者无肺纤维化,41例(46.59%)患者有肺纤维化。研究人员收集了炎症指标、影像学检查结果、血气分析和住院时间等临床数据。 曲线下面积值分别为 0.7413、0.7741 和 0.7048,接收者操作特征曲线研究表明,粘蛋白 1 (MUC1)、癌胚抗原 (CEA) 和 CXC 趋化因子受体 10 (CXCL10) 可以诊断 COVID-19 PF 的存在。为了评估严重急性呼吸综合征冠状病毒-2 感染后出现 PF 的可能性,我们确定了 MUC1、CEA 和 CXCL10 的特定值(分别为 1.296 ng/ml、4.315 ng/ml 和 32.77 ng/ml)。住院天数生存曲线显示,住院时间与这三个因子呈正相关(P < 0.01)。转化生长因子-β与 COVID-19 或 PF 的严重程度无明显相关性。 本研究结果表明,MUC1、CEA和CXCL10可用于探讨COVID-19继发性PF的严重程度。
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The Diagnostic and Predictive Value of Biomarkers for Pulmonary Fibrosis in Patients with Coronavirus Disease 2019
In coronavirus disease 2019 (COVID-19), particularly in older people, dysregulated immune response and aberrant repair can result in varied severity secondary pulmonary fibrosis (PF). By detecting some indicators, the occurrence and prognosis of fibrosis can be measured, providing directions for COVID-19 treatment. 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. 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. 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.
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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
31
审稿时长
29 weeks
期刊介绍: JGID encourages research, education and dissemination of knowledge in the field of Infectious Diseases across the world thus promoting translational research by striking a synergy between basic science, clinical medicine and public health. The Journal intends to bring together scientists and academicians in Infectious Diseases to promote translational synergy between Laboratory Science, Clinical Medicine and Public Health. The Journal invites Original Articles, Clinical Investigations, Epidemiological Analysis, Data Protocols, Case Reports, Clinical Photographs, review articles and special commentaries. Students, Residents, Academicians, Public Health experts and scientists are all encouraged to be a part of this initiative by contributing, reviewing and promoting scientific works and science.
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