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Comparative analysis of the main haematological indexes and RNA detection for the diagnosis of SARS-CoV-2 infection

Authors :
Jialin Xiang
Zuyi Chen
Jie Zhou
Di Tian
Xiusheng Ran
Zhimin Zhang
Shi Shi
Daimin Xiao
Yuanzhong Zhou
Source :
BMC Infectious Diseases, Vol 20, Iss 1, Pp 1-7 (2020)
Publication Year :
2020
Publisher :
BMC, 2020.

Abstract

Abstract Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has become a public health emergency of international concern. SARS-CoV-2 RNA detection is the diagnostic criterion for coronavirus disease 2019 (COVID-19). Nevertheless, RNA detection has many limitations, such as being time-consuming and cost-prohibitive, and it must be performed in specialized laboratories. Virus antibody detection is a routine method for screening for multiple viruses, but data about SARS-CoV-2 antibody detection are limited. Method Throat swabs and blood were collected from 67 suspected SARS-CoV-2 infection patients at the Affiliated Hospital of Zunyi Medical University and Zunyi Fourth People’s Hospital isolated observation departments. Throat swab samples were subjected to SARS-CoV-2 RNA detection by real-time PCR. Blood was used subjected to SARS-CoV-2 IgG/IgM detection by an enzyme-linked immunosorbent assay (ELISA) and gold immunochromatography assay (GICA). Blood underwent C-reactive protein detection by immunoturbidimetry, and white blood cells, neutrophil percentages and lymphocyte percentages were counted and calculated, respectively. Clinical symptoms, age and lifestyle habits (smoking and drinking) in all patients were recorded. Data were analysed using SPSS version 19. The results were confirmed by T and χ2 tests; correlations with detection results were analysed by kappa coefficients. Odds ratio (OR) and corrected OR values were analysed by logistic regression. P

Details

Language :
English
ISSN :
14712334
Volume :
20
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Infectious Diseases
Publication Type :
Academic Journal
Accession number :
edsdoj.1b23965ab3524d6c9e118cc6fbd15192
Document Type :
article
Full Text :
https://doi.org/10.1186/s12879-020-05489-3