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Differential diagnosis and prospective grading of COVID-19 at the early stage with simple hematological and biochemical variables
We evaluated simple laboratory variables to discriminate COVID-19 from bacterial pneumonia or influenza and for the prospective grading of COVID-19. Multivariate logistic regression and receiver operating characteristic curve were used to estimate the diagnostic performance of the significant discri...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577249/ https://www.ncbi.nlm.nih.gov/pubmed/33202303 http://dx.doi.org/10.1016/j.diagmicrobio.2020.115169 |
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author | Song, Lin Liang, En-Yu Wang, Hong-Mei Shen, Yan Kang, Chun-Min Xiong, Yu-Juan He, Min Fu, Wen-Jin Ke, Pei-Feng Huang, Xian-Zhang |
author_facet | Song, Lin Liang, En-Yu Wang, Hong-Mei Shen, Yan Kang, Chun-Min Xiong, Yu-Juan He, Min Fu, Wen-Jin Ke, Pei-Feng Huang, Xian-Zhang |
author_sort | Song, Lin |
collection | PubMed |
description | We evaluated simple laboratory variables to discriminate COVID-19 from bacterial pneumonia or influenza and for the prospective grading of COVID-19. Multivariate logistic regression and receiver operating characteristic curve were used to estimate the diagnostic performance of the significant discriminating variables. A comparative analysis was performed with different severity. The leukocytosis (P = 0.017) and eosinopenia (P = 0.001) were discriminating variables between COVID-19 and bacterial pneumonia with area under the curve (AUC) of 0.778 and 0.825. Monocytosis (P = 0.003), the decreased lymphocyte-to-monocyte ratio (P < 0.001), and the increased neutrophil-to-lymphocyte ratio (NLR) (P = 0.028) were predictive of influenza with AUC of 0.723, 0.895, and 0.783, respectively. Serum amyloid protein, lactate dehydrogenase, CD3(+) cells, and the fibrinogen degradation products had a good correlation with the severity of COVID-19 graded by age (≥50) and NLR (≥3.13). Simple laboratory variables are helpful for rapid diagnosis on admission and hierarchical management of COVID-19 patients. |
format | Online Article Text |
id | pubmed-7577249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75772492020-10-22 Differential diagnosis and prospective grading of COVID-19 at the early stage with simple hematological and biochemical variables Song, Lin Liang, En-Yu Wang, Hong-Mei Shen, Yan Kang, Chun-Min Xiong, Yu-Juan He, Min Fu, Wen-Jin Ke, Pei-Feng Huang, Xian-Zhang Diagn Microbiol Infect Dis Virology We evaluated simple laboratory variables to discriminate COVID-19 from bacterial pneumonia or influenza and for the prospective grading of COVID-19. Multivariate logistic regression and receiver operating characteristic curve were used to estimate the diagnostic performance of the significant discriminating variables. A comparative analysis was performed with different severity. The leukocytosis (P = 0.017) and eosinopenia (P = 0.001) were discriminating variables between COVID-19 and bacterial pneumonia with area under the curve (AUC) of 0.778 and 0.825. Monocytosis (P = 0.003), the decreased lymphocyte-to-monocyte ratio (P < 0.001), and the increased neutrophil-to-lymphocyte ratio (NLR) (P = 0.028) were predictive of influenza with AUC of 0.723, 0.895, and 0.783, respectively. Serum amyloid protein, lactate dehydrogenase, CD3(+) cells, and the fibrinogen degradation products had a good correlation with the severity of COVID-19 graded by age (≥50) and NLR (≥3.13). Simple laboratory variables are helpful for rapid diagnosis on admission and hierarchical management of COVID-19 patients. Elsevier Inc. 2021-02 2020-10-21 /pmc/articles/PMC7577249/ /pubmed/33202303 http://dx.doi.org/10.1016/j.diagmicrobio.2020.115169 Text en © 2020 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Virology Song, Lin Liang, En-Yu Wang, Hong-Mei Shen, Yan Kang, Chun-Min Xiong, Yu-Juan He, Min Fu, Wen-Jin Ke, Pei-Feng Huang, Xian-Zhang Differential diagnosis and prospective grading of COVID-19 at the early stage with simple hematological and biochemical variables |
title | Differential diagnosis and prospective grading of COVID-19 at the early stage with simple hematological and biochemical variables |
title_full | Differential diagnosis and prospective grading of COVID-19 at the early stage with simple hematological and biochemical variables |
title_fullStr | Differential diagnosis and prospective grading of COVID-19 at the early stage with simple hematological and biochemical variables |
title_full_unstemmed | Differential diagnosis and prospective grading of COVID-19 at the early stage with simple hematological and biochemical variables |
title_short | Differential diagnosis and prospective grading of COVID-19 at the early stage with simple hematological and biochemical variables |
title_sort | differential diagnosis and prospective grading of covid-19 at the early stage with simple hematological and biochemical variables |
topic | Virology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577249/ https://www.ncbi.nlm.nih.gov/pubmed/33202303 http://dx.doi.org/10.1016/j.diagmicrobio.2020.115169 |
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