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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:...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Laboratory Medicine 2022
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.
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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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