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

Hypoalbuminemia Procalcitonin Prothrombin time White blood cell Absolute neutrophil count Aspartate transaminase
DOI: 10.3343/alm.2022.42.1.24 Publication Date: 2021-08-10T08:26:43Z
ABSTRACT
Laboratory parameter abnormalities are commonly observed in COVID-19 patients; however, their clinical significance remains controversial. We assessed the prevalence, characteristics, and impact of laboratory parameters patients hospitalized Daegu, Korea.We investigated 1,952 on admission nine hospitals Korea. The average patient age was 58.1 years, 700 (35.9%) were men. classified into mild (N=1,612), moderate (N=294), severe (N=46) disease groups based severity scores. used chi-square test, multiple comparison analysis, multinomial logistic regression to evaluate correlation between severity.Laboratory three significantly different terms hematologic (Hb, Hct, white blood cell count, lymphocyte%, platelet count), coagulation (prothrombin time activated partial thromboplastin time), biochemical (albumin, aspartate aminotransferase, alanine lactate, urea nitrogen, creatinine, electrolytes), inflammatory (C-reactive protein procalcitonin), cardiac (creatinine kinase MB isoenzyme troponin I), molecular virologic (Ct value SARS-CoV-2 RdRP gene) parameters. Relative lymphopenia, prothrombin prolongation, hypoalbuminemia significant indicators severity. Patients with both lymphopenia had a higher risk COVID-19.Laboratory common, associated severity, can serve as independent predictors Monitoring parameters, including albumin lymphocyte is crucial for timely treatment COVID-19.
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