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Research article
Wenfeng Zhang
The First Affiliated Hospital, Nanchang University
Corresponding Author
ORCiD: https://orcid.org/0000-0003-1868-4642
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: COVID-19 continuously threated public health heavily. Present study aimed to investigate the lymphocyte subset alterations with disease severity, imaging manifestation, and delayed hospitalization in COVID-19 patients.
Methods: Lymphocyte subsets was classified using flow cytometry with peripheral blood collected from 106 patients.
Results: Multivariate logistic regression showed that chest tightness, lymphocyte count, and γ-glutamyl transpeptidase were the independent predictors for severe COVID-19. The T cell, CD4+ T cell and B cell counts in severe patients were significantly lower than that in mild patients (p = 0.004, 0.003 and 0.046, respectively). Only the T cell count was gradually decreased with the increase of infiltrated quadrants of lesions in computed tomography (CT) (p = 0.043). The T cell, CD4+ T cell, and CD8+ T cell counts were gradually decreased with the increase of infiltrated area of the maximum lesion in CT (p = 0.002, 0.003, 0.028; respectively). The T cell count, as well as CD4+ T cell, CD8+ T cell, and NK cell counts were gradually decreased with the increased delayed hospitalization (p = 0.003, 0.002, 0.013, and 0.012; respectively). The proportion of T cell was gradually decreased but B cell was gradually increased with the increased delayed hospitalization (p = 0.031 and 0.003, respectively).
Conclusion: T cell and CD4+ T cell counts negatively correlated with disease severity, CT manifestation and delayed hospitalization. CD4+ T cell was mainstay of immunity response in COVID-19 patients.
Keywords
COVID-19, delayed hospitalization, computed tomography, lymphocyte subsets, flow cytometry
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Peer Review Timeline
CURRENT STATUS: Under Review
Version 3
Posted 04 Jan, 2021
No community comments so far
Editorial decision: Major revision
On 06 May, 2021
Review #1 received
Received 01 May, 2021
Reviewer #1 agreed
On 18 Apr, 2021
Reviewers invited
Invitations sent on 30 Mar, 2021
Editor assigned
On 15 Dec, 2020
Submission checks complete
On 15 Dec, 2020
Editor invited
On 15 Dec, 2020
No comments provided
Editorial decision: Major revision
On 04 Nov, 2020
Editor assigned
On 13 Oct, 2020
Submission checks complete
On 12 Oct, 2020
Editor invited
On 12 Oct, 2020
No comments provided
Editorial decision: Major revision
On 13 Sep, 2020
Editor assigned
On 03 Sep, 2020
Submission checks complete
On 24 Aug, 2020
Editor invited
On 24 Aug, 2020
First submitted
On 30 Jul, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Infectious Diseases
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
This preprint is under consideration at BMC Infectious Diseases. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Wenfeng Zhang
The First Affiliated Hospital, Nanchang University
Corresponding Author
ORCiD: https://orcid.org/0000-0003-1868-4642
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 3
Posted 04 Jan, 2021
No community comments so far
Editorial decision: Major revision
On 06 May, 2021
Review #1 received
Received 01 May, 2021
Reviewer #1 agreed
On 18 Apr, 2021
Reviewers invited
Invitations sent on 30 Mar, 2021
Editor assigned
On 15 Dec, 2020
Submission checks complete
On 15 Dec, 2020
Editor invited
On 15 Dec, 2020
No comments provided
Editorial decision: Major revision
On 04 Nov, 2020
Editor assigned
On 13 Oct, 2020
Submission checks complete
On 12 Oct, 2020
Editor invited
On 12 Oct, 2020
No comments provided
Editorial decision: Major revision
On 13 Sep, 2020
Editor assigned
On 03 Sep, 2020
Submission checks complete
On 24 Aug, 2020
Editor invited
On 24 Aug, 2020
First submitted
On 30 Jul, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Infectious Diseases
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: COVID-19 continuously threated public health heavily. Present study aimed to investigate the lymphocyte subset alterations with disease severity, imaging manifestation, and delayed hospitalization in COVID-19 patients.
Methods: Lymphocyte subsets was classified using flow cytometry with peripheral blood collected from 106 patients.
Results: Multivariate logistic regression showed that chest tightness, lymphocyte count, and γ-glutamyl transpeptidase were the independent predictors for severe COVID-19. The T cell, CD4+ T cell and B cell counts in severe patients were significantly lower than that in mild patients (p = 0.004, 0.003 and 0.046, respectively). Only the T cell count was gradually decreased with the increase of infiltrated quadrants of lesions in computed tomography (CT) (p = 0.043). The T cell, CD4+ T cell, and CD8+ T cell counts were gradually decreased with the increase of infiltrated area of the maximum lesion in CT (p = 0.002, 0.003, 0.028; respectively). The T cell count, as well as CD4+ T cell, CD8+ T cell, and NK cell counts were gradually decreased with the increased delayed hospitalization (p = 0.003, 0.002, 0.013, and 0.012; respectively). The proportion of T cell was gradually decreased but B cell was gradually increased with the increased delayed hospitalization (p = 0.031 and 0.003, respectively).
Conclusion: T cell and CD4+ T cell counts negatively correlated with disease severity, CT manifestation and delayed hospitalization. CD4+ T cell was mainstay of immunity response in COVID-19 patients.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
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