Comprehensive Laboratory Data Analysis to Predict the Clinical Severity of Coronavirus Disease 2019 in 1,952 Patients in Daegu, Korea
Annals of Laboratory Medicine 2022³â 42±Ç 1È£ p.24 ~ p.35
À¯ÀºÇü(Yoo Eun-Hyung) - Daegu Catholic University School of Medicine Department of Laboratory Medicine
Àå¼øÈñ(Chang Soon-Hee) - Kyungpook National University School of Medicine Department of Clinical Pathology
¼Ûµµ¿µ(Song Do-Young) - Daegu Fatima Hospital Department of Laboratory Medicine
ÀÌäÈÆ(Lee Chae-Hoon) - Yeungnam University College of Medicine Department of Laboratory Medicine
Á¤±Ô¿µ(Cheong Gyu-Young) - Daegu Medical Center Department of Laboratory Medicine
¹Ú¼º±Õ(Park Sung-Gyun) - Keimyung University School of Medicine Department of Laboratory Medicine
ÀÌÀçÈñ(Lee Jae-Hee) - Keimyung University Dongsan Hospital Department of Laboratory Medicine
À̼öÀÎ(Lee Soo-In) - Daegu Veterans Hospital Department of Laboratory Medicine
°û»ó±Ô(Kwak Sang-Gyu) - Daegu Catholic University School of Medicine Department of Medical Statistics
Àüâȣ(Jeon Chang-Ho) - Daegu Catholic University School of Medicine Department of Laboratory Medicine
¼Û°æÀº(Song Kyung-Eun) - Kyungpook National University School of Medicine Department of Clinical Pathology
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.
Å°¿öµå
Hypoalbuminemia, Lymphopenia, Prothrombin time, Coronavirus disease 2019, Severity, Laboratory parameters
¿ø¹® ¹× ¸µÅ©¾Æ¿ô Á¤º¸
µîÀçÀú³Î Á¤º¸
À¯È¿¼º°á°ú(Recomendation)
Various laboratory parameters, including hematologic, coagulation, biochemical, inflammatory, and cardiac markers, can be used to predict the severity of COVID-19.