Comprehensive laboratory data analysis to predict the clinical severity of coronavirus disease 2019 in 1,952 patients in daegu, korea

Eun Hyung Yoo, Soon Hee Chang, Do Young Song, Chae Hoon Lee, Gyu Young Cheong, Sunggyun Park, Jae Hee Lee, Sooin Lee, Sang Gyu Kwak, Chang Ho Jeon, Kyung Eun Song

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

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.

Original languageEnglish
Pages (from-to)24-35
Number of pages12
JournalAnnals of Laboratory Medicine
Volume42
Issue number1
DOIs
StatePublished - 2021

Keywords

  • Coronavirus disease 2019
  • Hypoalbuminemia
  • Laboratory parameters
  • Lymphopenia
  • Prothrombin time
  • Severity

Fingerprint

Dive into the research topics of 'Comprehensive laboratory data analysis to predict the clinical severity of coronavirus disease 2019 in 1,952 patients in daegu, korea'. Together they form a unique fingerprint.

Cite this