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血清胱抑素 C 水平对 COVID-19 严重程度的预测价值。

The predictive value of serum level of cystatin C for COVID-19 severity.

机构信息

Department of Infectious Disease, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China.

Department of Infectious Disease, Fujian Medical University Union Hospital, Fuzhou, China.

出版信息

Sci Rep. 2021 Nov 9;11(1):21964. doi: 10.1038/s41598-021-01570-2.

DOI:10.1038/s41598-021-01570-2
PMID:34754069
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8578213/
Abstract

To investigate the potential prognostic value of Serum cystatin C (sCys C) in patients with COVID-19 and determine the association of sCys C with severe COVID-19 illness. We performed a retrospective review of medical records of 162 (61.7 ± 13.5 years) patients with COVID-19. We assessed the predictive accuracy of sCys C for COVID-19 severity by the receiver operating characteristic (ROC) curve analysis. The participants were divided into two groups based on the sCys C cut-off value. We evaluated the association between high sCys C level and the development of severe COVID-19 disease, using a COX proportional hazards regression model. The area under the ROC curve was 0.708 (95% CI 0.594-0.822), the cut-off value was 1.245 (mg/L), and the sensitivity and specificity was 79.1% and 60.7%, respectively. A multivariable Cox analysis showed that a higher level of sCys C (adjusted HR 2.78 95% CI 1.25-6.18, p = 0.012) was significantly associated with an increased risk of developing a severe COVID-19 illness. Patients with a higher sCys C level have an increased risk of severe COVID-19 disease. Our findings suggest that early assessing sCys C could help to identify potential severe COVID-19 patients.

摘要

目的

探讨血清胱抑素 C(sCys C)在 COVID-19 患者中的潜在预后价值,并确定 sCys C 与严重 COVID-19 疾病的关系。

方法

我们对 162 例(61.7±13.5 岁)COVID-19 患者的病历进行了回顾性分析。我们通过受试者工作特征(ROC)曲线分析评估了 sCys C 对 COVID-19 严重程度的预测准确性。根据 sCys C 截断值将参与者分为两组。我们使用 COX 比例风险回归模型评估了高 sCys C 水平与严重 COVID-19 疾病发生之间的关系。ROC 曲线下面积为 0.708(95%CI 0.594-0.822),截断值为 1.245(mg/L),灵敏度和特异性分别为 79.1%和 60.7%。多变量 Cox 分析表明,较高的 sCys C 水平(调整后的 HR 2.78,95%CI 1.25-6.18,p=0.012)与发生严重 COVID-19 疾病的风险增加显著相关。

结论

sCys C 水平较高的患者发生严重 COVID-19 疾病的风险增加。我们的研究结果表明,早期评估 sCys C 可能有助于识别潜在的严重 COVID-19 患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f5/8578213/104914aae7a9/41598_2021_1570_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f5/8578213/8275232f1656/41598_2021_1570_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f5/8578213/d25862ffb8fd/41598_2021_1570_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f5/8578213/104914aae7a9/41598_2021_1570_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f5/8578213/8275232f1656/41598_2021_1570_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f5/8578213/d25862ffb8fd/41598_2021_1570_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f5/8578213/104914aae7a9/41598_2021_1570_Fig3_HTML.jpg

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