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Comprehensive Laboratory Data Analysis to Predict the Clinical Severity of Coronavirus Disease 2019 in 1,952 Patients in Daegu, Korea
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:...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society for Laboratory Medicine
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8368228/ https://www.ncbi.nlm.nih.gov/pubmed/34374346 http://dx.doi.org/10.3343/alm.2022.42.1.24 |
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author | Yoo, Eun-Hyung Chang, Soon Hee Song, Do-Young Lee, Chae Hoon Cheong, Gyu Young Park, Sunggyun Lee, Jae Hee Lee, Sooin Kwak, Sang-Gyu Jeon, Chang-Ho Song, Kyung Eun |
author_facet | Yoo, Eun-Hyung Chang, Soon Hee Song, Do-Young Lee, Chae Hoon Cheong, Gyu Young Park, Sunggyun Lee, Jae Hee Lee, Sooin Kwak, Sang-Gyu Jeon, Chang-Ho Song, Kyung Eun |
author_sort | Yoo, Eun-Hyung |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8368228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Korean Society for Laboratory Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-83682282022-01-01 Comprehensive Laboratory Data Analysis to Predict the Clinical Severity of Coronavirus Disease 2019 in 1,952 Patients in Daegu, Korea Yoo, Eun-Hyung Chang, Soon Hee Song, Do-Young Lee, Chae Hoon Cheong, Gyu Young Park, Sunggyun Lee, Jae Hee Lee, Sooin Kwak, Sang-Gyu Jeon, Chang-Ho Song, Kyung Eun Ann Lab Med Original Article 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. Korean Society for Laboratory Medicine 2022-01-01 2022-01-01 /pmc/articles/PMC8368228/ /pubmed/34374346 http://dx.doi.org/10.3343/alm.2022.42.1.24 Text en © Korean Society for Laboratory Medicine https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Yoo, Eun-Hyung Chang, Soon Hee Song, Do-Young Lee, Chae Hoon Cheong, Gyu Young Park, Sunggyun Lee, Jae Hee Lee, Sooin Kwak, Sang-Gyu Jeon, Chang-Ho Song, Kyung Eun Comprehensive Laboratory Data Analysis to Predict the Clinical Severity of Coronavirus Disease 2019 in 1,952 Patients in Daegu, Korea |
title | Comprehensive Laboratory Data Analysis to Predict the Clinical Severity of Coronavirus Disease 2019 in 1,952 Patients in Daegu, Korea |
title_full | Comprehensive Laboratory Data Analysis to Predict the Clinical Severity of Coronavirus Disease 2019 in 1,952 Patients in Daegu, Korea |
title_fullStr | Comprehensive Laboratory Data Analysis to Predict the Clinical Severity of Coronavirus Disease 2019 in 1,952 Patients in Daegu, Korea |
title_full_unstemmed | Comprehensive Laboratory Data Analysis to Predict the Clinical Severity of Coronavirus Disease 2019 in 1,952 Patients in Daegu, Korea |
title_short | Comprehensive Laboratory Data Analysis to Predict the Clinical Severity of Coronavirus Disease 2019 in 1,952 Patients in Daegu, Korea |
title_sort | comprehensive laboratory data analysis to predict the clinical severity of coronavirus disease 2019 in 1,952 patients in daegu, korea |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8368228/ https://www.ncbi.nlm.nih.gov/pubmed/34374346 http://dx.doi.org/10.3343/alm.2022.42.1.24 |
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