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Value of Laboratory Indicators in Predicting Pneumonia in Symptomatic COVID-19 Patients Infected with the SARS-CoV-2 Omicron Variant

BACKGROUND: The pathogenicity of Omicron is different from that of the previous strains. The value of hematological indicators in patients at high risk of Omicron infection remains unclear. We need rapid, inexpensive and widely available biomarkers to guide the early detection of people at risk of p...

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Autores principales: Zhu, Kongbo, Ma, Shaolei, Chen, Hui, Xie, Jianfeng, Huang, Dan, Fu, Cuiping, Ma, Genshan, Huang, Yingzi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985399/
https://www.ncbi.nlm.nih.gov/pubmed/36879854
http://dx.doi.org/10.2147/IDR.S397231
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author Zhu, Kongbo
Ma, Shaolei
Chen, Hui
Xie, Jianfeng
Huang, Dan
Fu, Cuiping
Ma, Genshan
Huang, Yingzi
author_facet Zhu, Kongbo
Ma, Shaolei
Chen, Hui
Xie, Jianfeng
Huang, Dan
Fu, Cuiping
Ma, Genshan
Huang, Yingzi
author_sort Zhu, Kongbo
collection PubMed
description BACKGROUND: The pathogenicity of Omicron is different from that of the previous strains. The value of hematological indicators in patients at high risk of Omicron infection remains unclear. We need rapid, inexpensive and widely available biomarkers to guide the early detection of people at risk of pneumonia and to provide early intervention. We aimed to assess the value of hematological indicators as risk factors for pneumonia in symptomatic COVID-19 patients infected with the SARS-CoV-2 Omicron variant. PATIENTS AND METHODS: The study enrolled 144 symptomatic COVID-19 patients with Omicron infection. We collected available clinical details, including laboratory tests and CT examinations. Univariate and multivariate logistic analyses and receiver operating characteristic (ROC) curve analyses were used to assess the value of laboratory markers in predicting the development of pneumonia. RESULTS: Among the 144 patients, 50 (34.7%) had pneumonia. The ROC analysis revealed that the areas under the ROC curve (AUC) for leukocytes, lymphocytes, neutrophils, and fibrinogen were 0.603 (95% confidence interval (CI): 0.501–0.704, P=0.043), 0.615 (95% CI: 0.517–0.712, P=0.024), 0.632 (95% CI: 0.534–0.730, P=0.009) and 0.635 (95% CI: 0.539–0.730, P=0.008), respectively. The AUC for neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), fibrinogen to lymphocyte ratio (FLR), and fibrinogen to D-dimer ratio (FDR) were 0.670 (95% CI: 0.580–0.760, P=0.001), 0.632 (95% CI: 0.535–0.728, P=0.009), 0.669 (95% CI: 0.575–0.763, P=0.001) and 0.615 (95% CI: 0.510–0.721, P=0.023), respectively. Univariate analysis showed that elevated levels of NLR (odds ratio (OR): 1.219, 95% CI: 1.046–1.421, P=0.011), FLR (OR: 1.170, 95% CI: 1.014–1.349, P=0.031) and FDR (OR: 1.131, 95% CI: 1.039–1.231, P=0.005) were significantly correlated with the presence of pneumonia. Multivariate analysis indicated elevated NLR (OR: 1.248, 95% CI: 1.068–1.459, P=0.005) and FDR (OR: 1.160, 95% CI: 1.054–1.276, P=0.002) levels were associated with the existence of pneumonia. The AUC for the combination of NLR and FDR was 0.701 (95% CI: 0.606–0.796, P<0.001, sensitivity 56.0%, specificity 83.0%). CONCLUSION: NLR and FDR can predict the presence of pneumonia in symptomatic COVID-19 patients infected with the SARS-CoV-2 Omicron variant.
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spelling pubmed-99853992023-03-05 Value of Laboratory Indicators in Predicting Pneumonia in Symptomatic COVID-19 Patients Infected with the SARS-CoV-2 Omicron Variant Zhu, Kongbo Ma, Shaolei Chen, Hui Xie, Jianfeng Huang, Dan Fu, Cuiping Ma, Genshan Huang, Yingzi Infect Drug Resist Original Research BACKGROUND: The pathogenicity of Omicron is different from that of the previous strains. The value of hematological indicators in patients at high risk of Omicron infection remains unclear. We need rapid, inexpensive and widely available biomarkers to guide the early detection of people at risk of pneumonia and to provide early intervention. We aimed to assess the value of hematological indicators as risk factors for pneumonia in symptomatic COVID-19 patients infected with the SARS-CoV-2 Omicron variant. PATIENTS AND METHODS: The study enrolled 144 symptomatic COVID-19 patients with Omicron infection. We collected available clinical details, including laboratory tests and CT examinations. Univariate and multivariate logistic analyses and receiver operating characteristic (ROC) curve analyses were used to assess the value of laboratory markers in predicting the development of pneumonia. RESULTS: Among the 144 patients, 50 (34.7%) had pneumonia. The ROC analysis revealed that the areas under the ROC curve (AUC) for leukocytes, lymphocytes, neutrophils, and fibrinogen were 0.603 (95% confidence interval (CI): 0.501–0.704, P=0.043), 0.615 (95% CI: 0.517–0.712, P=0.024), 0.632 (95% CI: 0.534–0.730, P=0.009) and 0.635 (95% CI: 0.539–0.730, P=0.008), respectively. The AUC for neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), fibrinogen to lymphocyte ratio (FLR), and fibrinogen to D-dimer ratio (FDR) were 0.670 (95% CI: 0.580–0.760, P=0.001), 0.632 (95% CI: 0.535–0.728, P=0.009), 0.669 (95% CI: 0.575–0.763, P=0.001) and 0.615 (95% CI: 0.510–0.721, P=0.023), respectively. Univariate analysis showed that elevated levels of NLR (odds ratio (OR): 1.219, 95% CI: 1.046–1.421, P=0.011), FLR (OR: 1.170, 95% CI: 1.014–1.349, P=0.031) and FDR (OR: 1.131, 95% CI: 1.039–1.231, P=0.005) were significantly correlated with the presence of pneumonia. Multivariate analysis indicated elevated NLR (OR: 1.248, 95% CI: 1.068–1.459, P=0.005) and FDR (OR: 1.160, 95% CI: 1.054–1.276, P=0.002) levels were associated with the existence of pneumonia. The AUC for the combination of NLR and FDR was 0.701 (95% CI: 0.606–0.796, P<0.001, sensitivity 56.0%, specificity 83.0%). CONCLUSION: NLR and FDR can predict the presence of pneumonia in symptomatic COVID-19 patients infected with the SARS-CoV-2 Omicron variant. Dove 2023-02-28 /pmc/articles/PMC9985399/ /pubmed/36879854 http://dx.doi.org/10.2147/IDR.S397231 Text en © 2023 Zhu et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Zhu, Kongbo
Ma, Shaolei
Chen, Hui
Xie, Jianfeng
Huang, Dan
Fu, Cuiping
Ma, Genshan
Huang, Yingzi
Value of Laboratory Indicators in Predicting Pneumonia in Symptomatic COVID-19 Patients Infected with the SARS-CoV-2 Omicron Variant
title Value of Laboratory Indicators in Predicting Pneumonia in Symptomatic COVID-19 Patients Infected with the SARS-CoV-2 Omicron Variant
title_full Value of Laboratory Indicators in Predicting Pneumonia in Symptomatic COVID-19 Patients Infected with the SARS-CoV-2 Omicron Variant
title_fullStr Value of Laboratory Indicators in Predicting Pneumonia in Symptomatic COVID-19 Patients Infected with the SARS-CoV-2 Omicron Variant
title_full_unstemmed Value of Laboratory Indicators in Predicting Pneumonia in Symptomatic COVID-19 Patients Infected with the SARS-CoV-2 Omicron Variant
title_short Value of Laboratory Indicators in Predicting Pneumonia in Symptomatic COVID-19 Patients Infected with the SARS-CoV-2 Omicron Variant
title_sort value of laboratory indicators in predicting pneumonia in symptomatic covid-19 patients infected with the sars-cov-2 omicron variant
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985399/
https://www.ncbi.nlm.nih.gov/pubmed/36879854
http://dx.doi.org/10.2147/IDR.S397231
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