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Comprehensive Laboratory Data Analysis to Predict the Clinical Severity of Coronavirus Disease 2019 in 1,952 Patients in Daegu, Korea

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Affiliated Author(s)
박성균
Alternative Author(s)
Park, Sung Gyun
Journal Title
Ann Lab Med
ISSN
2234-3814
Issued Date
2022
Keyword
HypoalbuminemiaLymphopeniaProthrombin timeCoronavirus disease 2019SeverityLaboratory parameters
Abstract
Background:
Laboratory parameter abnormalities are commonly observed in COVID-19 patients; however, their clinical significance remains controversial. We assessed the prevalence, characteristics, and clinical impact of laboratory parameters in COVID-19 patients hospitalized in Daegu, Korea.

Methods:
We investigated the clinical and laboratory parameters of 1,952 COVID-19 patients on admission in nine hospitals in Daegu, Korea. The average patient age was 58.1 years, and 700 (35.9%) patients were men. The patients were classified into mild (N=1,612), moderate (N=294), and severe (N=46) disease groups based on clinical severity scores. We used chi-square test, multiple comparison analysis, and multinomial logistic regression to evaluate the correlation between laboratory parameters and disease severity.

Results:
Laboratory parameters on admission in the three disease groups were significantly different in terms of hematologic (Hb, Hct, white blood cell count, lymphocyte%, and platelet count), coagulation (prothrombin time and activated partial thromboplastin time), biochemical (albumin, aspartate aminotransferase, alanine aminotransferase, lactate, blood urea nitrogen, creatinine, and electrolytes), inflammatory (C-reactive protein and procalcitonin), cardiac (creatinine kinase MB isoenzyme and troponin I), and molecular virologic (Ct value of SARS-CoV-2 RdRP gene) parameters. Relative lymphopenia, prothrombin time prolongation, and hypoalbuminemia were significant indicators of COVID-19 severity. Patients with both hypoalbuminemia and lymphopenia had a higher risk of severe COVID-19.

Conclusions:
Laboratory parameter abnormalities on admission are common, are significantly associated with clinical severity, and can serve as independent predictors of COVID-19 severity. Monitoring the laboratory parameters, including albumin and lymphocyte count, is crucial for timely treatment of COVID-19.
Department
Dept. of Laboratory Medicine (진단검사의학)
Publisher
School of Medicine (의과대학)
Citation
Eun-Hyung Yoo et al. (2022). Comprehensive Laboratory Data Analysis to Predict the Clinical Severity of Coronavirus Disease 2019 in 1,952 Patients in Daegu, Korea. Ann Lab Med, 42(1), 24–35. doi: 10.3343/alm.2022.42.1.24
Type
Article
ISSN
2234-3814
DOI
10.3343/alm.2022.42.1.24
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/44000
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학)
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