A comprehensive analysis of systematically screened laboratory tests: based on a COVID-19 cohort

Lei Chen; Gaojing Qu; Guoxin Huang; Meiling Zhang; Junwen Chen; Dengru Wang; Ying Liu; Bin Pei

doi:10.3855/jidc.16691

A comprehensive analysis of systematically screened laboratory tests: based on a COVID-19 cohort

Authors

Lei Chen Department of Evidence-Based Medicine, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China
Gaojing Qu Department of Evidence-Based Medicine, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China
Guoxin Huang Department of Evidence-Based Medicine, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China
Meiling Zhang Department of Evidence-Based Medicine, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China
Junwen Chen Department of Respiratory and Critical Care Medicine, Xiangyang No. 1 People’s Hospital, Hubei University of Medicine, Xiangyang, China
Dengru Wang Yunnan Yanling Biological Technology Co. Ltd., Kunming, China
Ying Liu Department of Cell Therapy, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China
Bin Pei Department of Evidence-Based Medicine, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China

DOI:

https://doi.org/10.3855/jidc.16691

Keywords:

COVID-19, laboratory test, respiratory disease

Abstract

Introduction: The study aimed at screening indicators with differential diagnosis values and investigating the characteristics of laboratory tests in COVID-19 patients.

Methodology: All the laboratory tests from COVID-19 patients and non-COVID-19 patients in this cohort were included. Test values from the groups during the course, days 1-7, and days 8-14 were analyzed. Mann-Whitney U test, univariate logistic regression analysis, and multivariate regression analysis were performed. Regression models were established to verify the diagnostic performance of indicators.

Results: 302 laboratory tests were included in this cohort, and 115 indicators were analyzed; the values of 61 indicators had significant differences (p < 0.05) between groups, and 23 indicators were independent risk factors of COVID-19. During days 1-7, the values of 40 indicators had significant differences (p < 0.05) between groups, while 20 indicators were independent risk factors of COVID-19. During days 8-14, the values of 45 indicators had significant differences (p < 0.05) between groups, and 23 indicators were independent risk factors of COVID-19. About 10, 12, and 12 indicators showed significant differences (p < 0.05) in multivariate regression analysis in different courses respectively, and the diagnostic performance of the model from them was 74.9%, 80.3%, and 80.8% separately.

Conclusions: The indicators obtained through systematic screening have preferable differential diagnosis values. Compared with non-COVID-19 patients, the screened indicators indicated that COVID-19 patients had more severe inflammatory responses, organ damage, electrolyte and metabolism disturbance, and coagulation disorders. This screening approach could find valuable indicators from a large number of laboratory test indicators.

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Published

2023-05-31

How to Cite

Chen L, Qu G, Huang G, Zhang M, Chen J, Wang D, Liu Y, Pei B (2023) A comprehensive analysis of systematically screened laboratory tests: based on a COVID-19 cohort. J Infect Dev Ctries 17:588–596. doi: 10.3855/jidc.16691

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Issue

Vol. 17 No. 05: May 2023

Section

Coronavirus Pandemic

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