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Clinical analysis of prolonged viral clearance time in patients with lymphoma combined with novel coronavirus infection

Objective: To compare the period of viral clearance and its influencing factors after severe acute respiratory syndrome coronavirus (SARS-CoV-2) infection between patients with lymphoma and lung cancer. Methods: We retrospectively collected the clinical data of patients with lymphoma and lung cancer...

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Autores principales: Li, Ying, Wu, Chao, Fei, Liming, Xu, Qin, Shao, Xianru, Chen, Bangjie, Sun, Gengyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584143/
https://www.ncbi.nlm.nih.gov/pubmed/37860581
http://dx.doi.org/10.3389/fmolb.2023.1240175
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author Li, Ying
Wu, Chao
Fei, Liming
Xu, Qin
Shao, Xianru
Chen, Bangjie
Sun, Gengyun
author_facet Li, Ying
Wu, Chao
Fei, Liming
Xu, Qin
Shao, Xianru
Chen, Bangjie
Sun, Gengyun
author_sort Li, Ying
collection PubMed
description Objective: To compare the period of viral clearance and its influencing factors after severe acute respiratory syndrome coronavirus (SARS-CoV-2) infection between patients with lymphoma and lung cancer. Methods: We retrospectively collected the clinical data of patients with lymphoma and lung cancer (118 cases) diagnosed with SARS-CoV-2 infection and hospitalized in the First Affiliated Hospital of Anhui Medical University between 1 December 2022, and 15 March 2023. Finally, 87 patients with prolonged virus clearance times were included and divided into lymphoma (40 cases) and lung cancer (47 cases) groups. We used the Kaplan-Meier method to draw a negative turn curve. We performed a univariate analysis of the prolongation of virus clearance time and a Cox regression model for multivariate analysis. Results: The median times for viral clearance in the lung cancer and lymphoma groups were 18 (95% confidence interval [CI] 15.112–20.888) and 32 (95%CI 27.429–36.571) days, respectively. Log-rank analysis showed a statistically significant difference (p = 0.048), and the lymphocyte count in the lymphoma group was lower than that in the lung cancer group (p = 0.044). We used the Cox regression model to conduct a multivariate analysis, which revealed that in lymphoma patients, the interval between the time of diagnosis and the time of SARS-CoV-2 infection <24 months (hazard ratio [HR]: 0.182, 95%CI: 0.062–0.535, p = 0.02), an interval between the last anti-CD20 monoclonal antibody treatment and the time of SARS-CoV-2 infection of <2 months (HR: 0.101, 95%CI: 0.029–0.358, p < 0.001), and a decrease in peripheral blood lymphocyte levels (HR: 0.380, 95%CI: 0.179–0.808, p = 0.012) were independent risk factors for prolonged viral clearance time. Conclusion: Patients with lymphoma combined with SARS-CoV-2 infection had a longer virus clearance time than did patients with lung cancer. Moreover, the lymphocyte count in the lymphoma group was lower than that in the lung cancer group; therefore, the immune status of patients with lymphoma is lower than that of patients with lung cancer. An interval between lymphoma diagnosis and SARS-CoV-2 infection of <2 years, anti-CD20 monoclonal antibody treatment within the past 2 months, and a decrease in lymphocyte levels in the peripheral blood prolonged the virus clearance time in the patients in this study.
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spelling pubmed-105841432023-10-19 Clinical analysis of prolonged viral clearance time in patients with lymphoma combined with novel coronavirus infection Li, Ying Wu, Chao Fei, Liming Xu, Qin Shao, Xianru Chen, Bangjie Sun, Gengyun Front Mol Biosci Molecular Biosciences Objective: To compare the period of viral clearance and its influencing factors after severe acute respiratory syndrome coronavirus (SARS-CoV-2) infection between patients with lymphoma and lung cancer. Methods: We retrospectively collected the clinical data of patients with lymphoma and lung cancer (118 cases) diagnosed with SARS-CoV-2 infection and hospitalized in the First Affiliated Hospital of Anhui Medical University between 1 December 2022, and 15 March 2023. Finally, 87 patients with prolonged virus clearance times were included and divided into lymphoma (40 cases) and lung cancer (47 cases) groups. We used the Kaplan-Meier method to draw a negative turn curve. We performed a univariate analysis of the prolongation of virus clearance time and a Cox regression model for multivariate analysis. Results: The median times for viral clearance in the lung cancer and lymphoma groups were 18 (95% confidence interval [CI] 15.112–20.888) and 32 (95%CI 27.429–36.571) days, respectively. Log-rank analysis showed a statistically significant difference (p = 0.048), and the lymphocyte count in the lymphoma group was lower than that in the lung cancer group (p = 0.044). We used the Cox regression model to conduct a multivariate analysis, which revealed that in lymphoma patients, the interval between the time of diagnosis and the time of SARS-CoV-2 infection <24 months (hazard ratio [HR]: 0.182, 95%CI: 0.062–0.535, p = 0.02), an interval between the last anti-CD20 monoclonal antibody treatment and the time of SARS-CoV-2 infection of <2 months (HR: 0.101, 95%CI: 0.029–0.358, p < 0.001), and a decrease in peripheral blood lymphocyte levels (HR: 0.380, 95%CI: 0.179–0.808, p = 0.012) were independent risk factors for prolonged viral clearance time. Conclusion: Patients with lymphoma combined with SARS-CoV-2 infection had a longer virus clearance time than did patients with lung cancer. Moreover, the lymphocyte count in the lymphoma group was lower than that in the lung cancer group; therefore, the immune status of patients with lymphoma is lower than that of patients with lung cancer. An interval between lymphoma diagnosis and SARS-CoV-2 infection of <2 years, anti-CD20 monoclonal antibody treatment within the past 2 months, and a decrease in lymphocyte levels in the peripheral blood prolonged the virus clearance time in the patients in this study. Frontiers Media S.A. 2023-10-04 /pmc/articles/PMC10584143/ /pubmed/37860581 http://dx.doi.org/10.3389/fmolb.2023.1240175 Text en Copyright © 2023 Li, Wu, Fei, Xu, Shao, Chen and Sun. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Li, Ying
Wu, Chao
Fei, Liming
Xu, Qin
Shao, Xianru
Chen, Bangjie
Sun, Gengyun
Clinical analysis of prolonged viral clearance time in patients with lymphoma combined with novel coronavirus infection
title Clinical analysis of prolonged viral clearance time in patients with lymphoma combined with novel coronavirus infection
title_full Clinical analysis of prolonged viral clearance time in patients with lymphoma combined with novel coronavirus infection
title_fullStr Clinical analysis of prolonged viral clearance time in patients with lymphoma combined with novel coronavirus infection
title_full_unstemmed Clinical analysis of prolonged viral clearance time in patients with lymphoma combined with novel coronavirus infection
title_short Clinical analysis of prolonged viral clearance time in patients with lymphoma combined with novel coronavirus infection
title_sort clinical analysis of prolonged viral clearance time in patients with lymphoma combined with novel coronavirus infection
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584143/
https://www.ncbi.nlm.nih.gov/pubmed/37860581
http://dx.doi.org/10.3389/fmolb.2023.1240175
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