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Published in: Infection 5/2020

01-10-2020 | COVID-19 | Original Paper

Prognostic value of serum amyloid A in patients with COVID-19

Authors: Li Cheng, Jian-Zhong Yang, Wen-Hui Bai, Zhuan-Yun Li, Li-Fang Sun, Juan-Juan Yan, Chen-Liang Zhou, Bao-Peng Tang

Published in: Infection | Issue 5/2020

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Abstract

Objective

To investigate the prognostic value of serum amyloid A (SAA) in the patients with Corona Virus Disease 2019 (COVID-19).

Methods

The medical data of 89 COVID-19 patients admitted to Renmin Hospital of Wuhan University from January 3, 2020 to February 26, 2020 were collected. Eighty-nine cases were divided into survival group (53 cases) and non-survival group (36 cases) according to the results of 28-day follow-up. The SAA levels of all patients were recorded and compared on 1 day after admission (before treatment) and 3 days, 5 days, and 7 days after treatment. The ROC curve was drawn to analyze the prognosis of patients with COVID-19 by SAA.

Results

The difference of comparison of SAA between survival group and non-survival group before treatment was not statistically significant, Z1 = − 1.426, P = 0.154. The Z1 values (Z1 is the Z value of the rank sum test) of the two groups of patients at 3 days, 5 days, and 7 days after treatment were − 5.569, − 6.967, and − 7.542, respectively. The P values were all less than 0.001, and the difference was statistically significant. The ROC curve results showed that SAA has higher sensitivity to the prognostic value of 1 day (before treatment), 3 days, 5 days, and 7 days after treatment, with values of 0.806, 0.972, 0.861, and 0.961, respectively. Compared with SAA on the 7th day and C-reactive protein, leukocyte count, neutrophil count, lymphocyte count, and hemoglobin on the 7th day, the sensitivities were: 96.1%, 83.3%, 88.3%, 83.3%, 67.9%, and 83.0%, respectively, of which SAA has the highest sensitivity.

Conclusion

SAA can be used as a predictor of the prognosis in patients with COVID-19.
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Metadata
Title
Prognostic value of serum amyloid A in patients with COVID-19
Authors
Li Cheng
Jian-Zhong Yang
Wen-Hui Bai
Zhuan-Yun Li
Li-Fang Sun
Juan-Juan Yan
Chen-Liang Zhou
Bao-Peng Tang
Publication date
01-10-2020
Publisher
Springer Berlin Heidelberg
Keyword
COVID-19
Published in
Infection / Issue 5/2020
Print ISSN: 0300-8126
Electronic ISSN: 1439-0973
DOI
https://doi.org/10.1007/s15010-020-01468-7

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