Serum Hyaluronan as a Predictor of Severity in COVID-19: A Retrospective Study.

IF 1.1 4区 医学 Q4 MEDICAL LABORATORY TECHNOLOGY
Yao Hu, Qiuyi Xia, Yao Lin, Yi Cen, Yanwen Chen, Ming Guan
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引用次数: 0

Abstract

Objective: We conducted this study to determine the impact of serum glycosaminoglycan hyaluronan (HA) on the prognosis of coronavirus disease 2019 (COVID-19).

Methods: A total of 497 hospitalized patients with COVID-19 were included. Patients were divided into two subgroups based on the severity of infection: mild (n=344) and severe (n=153). The levels of HA, lymphocyte count, C-reactive protein (CRP), ferritin, interleukin 6 (IL-6), and D-dimer were measured and the correlation of these parameters with the prognosis of COVID-19 was assessed.

Results: The mean HA level of the severe group was significantly higher than that of the mild group (204.4 ng/mL versus 850.6 ng/mL, P<0.01). In receiver operating characteristic curve analysis, an HA level ≥607.8 ng/mL predicted severe COVID-19 with a sensitivity of 62.3% and specificity of 88.6%. Multivariate regression analysis demonstrated that serum HA level was a significant predictor of disease severity (odds ratio=60.56, P<0.01).

Conclusion: Our findings show that higher serum HA concentrations are associated with severe COVID-19 disease. Early analysis of HA level in patients with COVID-19 might effectively predict disease severity.

预测 COVID-19 严重程度的血清透明质酸:一项回顾性研究
研究目的我们开展了这项研究,以确定血清糖胺聚糖透明质酸(HA)对冠状病毒病 2019(COVID-19)预后的影响:方法:共纳入497例COVID-19住院患者。根据感染严重程度将患者分为两组:轻度(344 人)和重度(153 人)。测量了HA、淋巴细胞计数、C反应蛋白(CRP)、铁蛋白、白细胞介素6(IL-6)和D-二聚体的水平,并评估了这些参数与COVID-19预后的相关性:结果:重度组的平均HA水平明显高于轻度组(204.4纳克/毫升对850.6纳克/毫升,PPC结论:我们的研究结果表明,较高的血清HA浓度与严重的COVID-19疾病相关。对COVID-19患者的HA水平进行早期分析可有效预测疾病的严重程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annals of clinical and laboratory science
Annals of clinical and laboratory science 医学-医学实验技术
CiteScore
1.60
自引率
0.00%
发文量
112
审稿时长
6-12 weeks
期刊介绍: The Annals of Clinical & Laboratory Science welcomes manuscripts that report research in clinical science, including pathology, clinical chemistry, biotechnology, molecular biology, cytogenetics, microbiology, immunology, hematology, transfusion medicine, organ and tissue transplantation, therapeutics, toxicology, and clinical informatics.
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