scholarly journals Lymphocyte subset alterations with disease severity, imaging manifestation, and delayed hospitalization in COVID-19 patients

2020 ◽  
Author(s):  
Daxian Wu ◽  
Xiaoping Wu ◽  
Jiansheng Huang ◽  
Qunfang Rao ◽  
Qi Zhang ◽  
...  
Keyword(s):  
T Cell ◽  
B Cell ◽  
Cell Count ◽  
Disease Severity ◽  
Lymphocyte Subsets ◽  
Nk Cell ◽  
Lymphocyte Subset ◽  
Multivariate Logistic Regression ◽  
Cell Counts ◽  
Glutamyl Transpeptidase

Abstract 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.

scholarly journals Lymphocyte subset alterations with disease severity, imaging manifestation, and delayed hospitalization in COVID-19 patients

2021 ◽  
Author(s):  
Daxian Wu ◽  
Xiaoping Wu ◽  
Jiansheng Huang ◽  
Qunfang Rao ◽  
Qi Zhang ◽  
...  
Keyword(s):  
T Cell ◽  
B Cell ◽  
Cell Count ◽  
Disease Severity ◽  
Lymphocyte Subsets ◽  
Nk Cell ◽  
Lymphocyte Subset ◽  
Multivariate Logistic Regression ◽  
Cell Counts ◽  
Glutamyl Transpeptidase

Abstract 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.

scholarly journals Lymphocyte subset alterations with disease severity, imaging manifestation, and delayed hospitalization in COVID-19 patients

2020 ◽  
Author(s):  
Daxian Wu ◽  
Xiaoping Wu ◽  
Jiansheng Huang ◽  
Qunfang Rao ◽  
Qi Zhang ◽  
...  
Keyword(s):  
T Cell ◽  
B Cell ◽  
Cell Count ◽  
Disease Severity ◽  
Lymphocyte Subsets ◽  
Nk Cell ◽  
Lymphocyte Subset ◽  
Multivariate Logistic Regression ◽  
Cell Counts ◽  
Glutamyl Transpeptidase

Abstract 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.

scholarly journals Lymphocyte subset alterations with disease severity, imaging manifestation, and delayed hospitalization in COVID-19 patients

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Daxian Wu ◽  
Xiaoping Wu ◽  
Jiansheng Huang ◽  
Qunfang Rao ◽  
Qi Zhang ◽  
...  
Keyword(s):  
T Cell ◽  
B Cell ◽  
Cell Count ◽  
Disease Severity ◽  
Lymphocyte Subsets ◽  
Nk Cell ◽  
Lymphocyte Subset ◽  
Multivariate Logistic Regression ◽  
Cell Counts ◽  
Glutamyl Transpeptidase

Abstract 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). For severe patients, the counts of T cell, CD4+ T cell, CD8+ T cell gradually decreased with the increased delayed hospitalization (p = 0.001, 0.03, and <  0.001, respectively). The proportions of T cell, CD8+ T cell gradually decreased with the increased delayed hospitalization (both p <  0.001), but the proportions of NK cell, B cell gradually increased with the increased delayed hospitalization (p = 0.007, and 0.002, respectively). For mild patients, only the NK cell count was gradually decreased with the increased delayed hospitalization (p = 0.012). Conclusion T lymphocyte and its subset negatively correlated with disease severity, CT manifestation and delayed hospitalization. The counts of lymphocyte subset were changed more profound than their proportions.

scholarly journals Lymphocyte subset alterations with disease severity, imaging manifestation, and delayed hospitalization in COVID-19 patients

2020 ◽  
Author(s):  
Da Xian Wu ◽  
Xiao Ping Wu ◽  
Jian Sheng Huang ◽  
Qun Fang Rao ◽  
Qi Zhang ◽  
...  
Keyword(s):  
T Cell ◽  
B Cell ◽  
Cell Count ◽  
Disease Severity ◽  
Nk Cell ◽  
Cd8 T Cell ◽  
Lymphocyte Subset ◽  
Cd4 T Cell ◽  
Cell Counts ◽  
Glutamyl Transpeptidase

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.

scholarly journals Lymphocyte subset analysis to evaluate the prognosis of HIV-negative patients with pneumocystis pneumonia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fan Jin ◽  
Jing Xie ◽  
Huan-ling Wang
Keyword(s):  
T Cell ◽  
Cell Count ◽  
Lymphocyte Subsets ◽  
Nk Cell ◽  
Cd8 T Cell ◽  
Pneumocystis Pneumonia ◽  
Lymphocyte Subset ◽  
Cd4 T Cell ◽  
Cell Counts ◽  
Hiv Negative

Abstract Objectives We analysed the peripheral blood lymphocyte subsets of human immunodeficiency virus (HIV)-negative patients infected with pneumocystis pneumonia (PCP) to determine the relationships between the levels of different types of lymphocytes and the prognosis of patients. Methods We retrospectively reviewed HIV-negative patients with PCP diagnosed in our department. All the eligible patients underwent lymphocyte subset analysis on admission. Results A total of 88 HIV-negative PCP patients were enrolled in the study. In univariate analyses, low CD4+ T cell count, low CD8+ T cell count, and low natural killer cell (NK cell) count were associated with higher in-hospital mortality. CD8+ T cell count ≤300/μL was found to be an independent risk factor for poor prognosis in multivariate logistical regression analysis (p = 0.015, OR = 11.526, 95% CI = 1.597–83.158). Although low CD4+ T cell and NK cell counts were not independent risk factors, the mortality rates of PCP patients decreased as the CD4+ T cell and NK cell counts increased. Conclusion The immune process of Pneumocystis jirovecii infection is complex but important. We propose that lymphocyte subsets could give clinicians a better understanding of patient immune status, helping with the early identification of potentially lethal infections and treatment decision making, such as adjusting the immunosuppressive regimen and choosing an appropriate patient monitoring level.

scholarly journals Characteristics of Peripheral Lymphocyte Subsets in Patients With Acute-On-Chronic Liver Failure Associated With Hepatitis B

2021 ◽  
Vol 8 ◽  
Author(s):  
Juan Li ◽  
Chun-Hua Hu ◽  
Yi Chen ◽  
Mi-Mi Zhou ◽  
Zhi-Jie Gao ◽  
...  
Keyword(s):  
T Cell ◽  
Liver Failure ◽  
Cell Count ◽  
Lymphocyte Subsets ◽  
Nk Cell ◽  
Laboratory Data ◽  
Peripheral Lymphocyte ◽  
Chronic Liver ◽  
Chronic Liver Failure ◽  
Cell Counts

Background and Aims: Acute-on-chronic liver failure (ACLF) is a rare, but dramatic clinical syndrome. There is substantial evidence suggesting that immunity-mediated inflammation plays an important role in HBV-ACLF. Our aim was to characterize the proportion and cell counts of peripheral blood lymphocyte subsets in acute-on-chronic liver failure patients caused by HBV infection.Methods: One hundred and seventeen patients were enrolled in this study, including those with HBV-related ACLF (HBV-ACLF; n = 70), and HBV related non-ACLF patients (HBV non-ACLF; n = 47). Demographics, clinical and laboratory data at hospital admission were retrospectively analyzed. The percentage and cell count of peripheral lymphocyte subsets were evaluated by flow cytometry. Comparison analysis was performed by t-test or non-parametric Mann–Whitney U-test. Actuarial probabilities of death were calculated by the Kaplan-Meier method.Results: Both circulating lymphocyte count and lymphocyte percentage were significantly reduced in patients with HBV-ACLF (P &lt; 0.001). The CD8+ T cell, CD4+ T cell, and CD16+CD56+ NK cell counts were significantly decreased in HBV-ACLF. Consistently, flow cytometric analysis showed that CD8+ T cell counts were significantly decreased in non-survivors, while no significant differences were found in CD4+ T cell, CD19+ B cell, or CD56+CD16+ NK cell counts. Furthermore, the group with the lower CD8+ T cell count displayed a significantly higher mortality rate compared with the group with the higher CD8+ T cell count.Conclusions: The abnormal prevalence of lymphocyte subsets may be important in the pathogenesis of HBV-ACLF. The decrease in CD8+ T cell counts may be related to poor survival in HBV-ACLF patients.

scholarly journals Lymphocyte Subsets Analysis in Evaluating Prognosis of HIV Negative Patients with Pneumocystis Pneumonia

2021 ◽  
Author(s):  
Fan Jin ◽  
Jing Xie ◽  
Huan-ling Wang
Keyword(s):  
T Cell ◽  
Cell Count ◽  
Lymphocyte Subsets ◽  
Nk Cell ◽  
Killer Cell ◽  
Cd8 T Cell ◽  
Pneumocystis Pneumonia ◽  
Cd4 T Cell ◽  
Cell Counts ◽  
Hiv Negative

Abstract Objectives We analyzed the peripheral blood lymphocyte subsets of human immunodeficiency virus (HIV) negative patients infected with pneumocystis pneumonia (PCP), aimed to find out the relationship between the levels of different types of lymphocytes with the prognosis of patients. Methods We retrospectively reviewed HIV negative patients with PCP diagnosed in our department, all the eligible patients underwent lymphocyte subsets analysis on admission. Results A total of 88 HIV negative PCP patients were enrolled in the study. In univariate analyses, low CD4+ T cell count, low CD8+ T cell count, and low natural killer cell (NK cell) count were associated with in-hospital mortality. CD8+ T cell count≤300/μL was found to be an independent risk factor for poor prognosis in multivariate logistical regression analysis (p=0.015, OR=11.526, 95%CI=1.597-83.158). Although low CD4+ T cell and NK cell counts were not independent risk factors, the mortality rates of PCP patients decreased sequentially with the increased levels of CD4+ T cell and NK cell counts. Conclusion The immunity process of Pneumocystis jirovecii infection is complex and crucial. We proposed that lymphocyte subsets give clinicians better understandings of patients 3 immune status, early identification of potential lethal patients and decision making, such as adjusting immunosuppressive regimen and choosing appropriate patient monitoring level.

Peripheral Blood CD3+CD4+ and CD3−CD56+ Cell Counts and Circulating Lymphoma Cells Are Significant Predictors of Overall Survival in Newly Diagnosed Follicular Lymphoma.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 2607-2607
Author(s):  
Danielle Shafer ◽  
Mitchell R. Smith ◽  
Samuel Litwin ◽  
Tianyu Li ◽  
Hossein Borghaei ◽  
...  
Keyword(s):  
Overall Survival ◽  
Cell Count ◽  
Peripheral Blood ◽  
Lymphocyte Subsets ◽  
Nk Cell ◽  
Cd4 Count ◽  
Newly Diagnosed ◽  
Original Diagnosis ◽  
Cell Counts

Abstract BACKGROUND: Interaction between the immune system and follicular lymphoma (FL) is well recognized from immunohistochemical as well as microarray studies, but is not yet fully elucidated. A recent report suggested that a higher absolute lymphocyte count (ALC) predicted a longer time to progression and improved response to rituximab in FL (Behl et al, Br J Haem2007). The GELA group reported a correlation between peripheral blood natural killer cell count and event free survival in diffuse large B cell lymphoma (Plonquet et al Ann Oncol2007). The influence of lymphocyte subsets in the peripheral blood (PB) on FL outcome has not been reported. PATIENTS AND METHODS: We retrospectively analyzed the immunophenotype from peripheral blood flow cytometry (PBFC) at Fox Chase Cancer Center in FL patients (pts). We identified 127 pts (82 newly diagnosed and 45 previously treated). We recorded the presence or absence of circulating monoclonal B cells (CLC) and survival in all as well as a complete PBFC panel in &gt; 90% of pts. FLIPI and IPI scores were calculated from data at the time of diagnosis. Overall survival and time to treatment from date of original diagnosis and from date of PBFC were analyzed in relation to ALC, CLC, the lymphocyte subsets CD3+CD4+, CD3+CD8+, CD3−CD56+/CD16+ (NK cells) and FLIPI and IPI scores. A low CD4 count was defined as &lt;500 cells/mm3, a low NK cell count as &lt;150 cells/mm3 and a low ALC as &lt;1500 cells/mm3. RESULTS: There were 63 females and 64 males; median age at presentation was 56 yrs (range 31–88). Median follow up intervals from original diagnosis and from PBFC were 46 months (range 3.5 – 207) and 24 months (range 0.7–138), respectively. This abstract deals principally with the 82 newly diagnosed pts. Median follow up in the newly diagnosed subset was 27.8 months (range 0.7 to – 138); thirty-five pts were subsequently treated, and 47 pts remained under observation. FLIPI scores at diagnosis were: low - 48 pts, intermediate - 25, high - 7 and unknown - 2. IPI scores were: low - 52 pts, low-intermediate - 24, high-intermediate/high - 4 and unknown - 2. CLC were present in 21% of pts. At last follow up, 74 pts were still alive. By univariate analysis, the most significant predictors for inferior overall survival (OS) from time of PBFC were low CD4 count (P = 0.03), low NK cell count (P = 0.02), and presence of CLC (P = 0.03). There was insufficient power for significance in multivariate analysis. At last follow up, survival for the low vs. high CD4 and NK cell groups was 85% vs. 97% and 85% vs.98%, respectively. FLIPI and IPI scores, low ALC, and low CD8 did not correlate with OS from time of diagnosis or time of PBFC. With respect to time to initial treatment, only a low ALC (P&lt;0.001) and FLIPI (P&lt;0.001) were significant. In multivariate analysis for OS of all 127 pts, low NK cell count remained significant (P = 0.03), while low CD4 count was marginally significant (P = 0.08). CONCLUSION: Analysis of PB lymphocytes by PBFC has prognostic value in previously untreated FL pts. Low CD4 and NK cell counts as well as the presence of CLC are the most significant predictors for OS in newly diagnosed FL. Our findings suggest the importance of an intact immune system. They merit further prospective studies to ascertain the impact of treatment on subsets of pts with specific immunophenotypes and may prove useful in FL management.

scholarly journals Immune dysfunction following COVID-19, especially in severe patients

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Cong-Ying Song ◽  
Jia Xu ◽  
Jian-Qin He ◽  
Yuan-Qiang Lu
Keyword(s):  
Risk Factors ◽  
T Cell ◽  
Blood Cell ◽  
Cell Count ◽  
Nk Cell ◽  
Multivariate Logistic Regression Analysis ◽  
Immune Dysfunction ◽  
Early Screening ◽  
Cell Counts ◽  
D Dimer

Abstract The coronavirus disease 2019 (COVID-19) has been spreading worldwide. Severe cases quickly progressed with unfavorable outcomes. We aim to investigate the clinical features of COVID-19 and identify the risk factors associated with its progression. Data of confirmed SARS-CoV-2-infected patients and healthy participants were collected. Thirty-seven healthy people and 79 confirmed patients, which include 48 severe patients and 31 mild patients, were recruited. COVID-19 patients presented with dysregulated immune response (decreased T, B, and NK cells and increased inflammatory cytokines). Also, they were found to have increased levels of white blood cell, neutrophil count, and D-dimer in severe cases. Moreover, lymphocyte, CD4+ T cell, CD8+ T cell, NK cell, and B cell counts were lower in the severe group. Multivariate logistic regression analysis showed that CD4+ cell count, neutrophil-to-lymphocyte ratio (NLR) and D-dimer were risk factors for severe cases. Both CT score and clinical pulmonary infection score (CPIS) were associated with disease severity. The receiver operating characteristic (ROC) curve analysis has shown that all these parameters and scores had quite a high predictive value. Immune dysfunction plays critical roles in disease progression. Early and constant surveillance of complete blood cell count, T lymphocyte subsets, coagulation function, CT scan and CPIS was recommended for early screening of severe cases.

scholarly journals Clinical Investigations. T-Lymphocyte Subset Absolute Counts in the Peripheral Blood of Mediterranean Spotted Fever Patients: Relations to Disease Severity / Абсолютное Количество Субпопуляций Т-Лимфоцитов В Перифери- Ческой Крови Пациентов Со Средиземноморской Пятнистой Лихо- Радкой: Установление Связи С Тяжестью Заболевания

Folia Medica ◽  
2015 ◽  
Vol 57 (2) ◽  
pp. 93-103 ◽  
Author(s):  
Ivan G. Baltadzhiev ◽  
Pavel I. Pavlov
Keyword(s):  
T Cell ◽  
Disease Severity ◽  
T Lymphocyte ◽  
Lymphocyte Subsets ◽  
Spotted Fever ◽  
Lymphocyte Subset ◽  
T Cell Subsets ◽  
Mediterranean Spotted Fever ◽  
T Lymphocyte Subsets ◽  
The Absolute

AbstractINTRODUCTION: Mediterranean spotted fever (MSF) in Bulgaria is caused by Rickettsia conorii conorii. Aim: This study aims at investigating the absolute counts of T-lymphocyte subsets in the peripheral blood of patients with MSF in order to establish relationships with disease severity. MATERIALS AND METHODS: The absolute counts of T-lymphocyte subsets were tested in the blood of 62 patients in the acute stage of MSF. They were assigned into three age and sex matched groups, based on the severity of disease - with mild, moderate or severe forms. Controls were 32 age and sex matched healthy individuals. The diagnosis was confirmed by an immunofluorescence assay. Immunophenotyping was performed using Epics XL-MCL Coulter, USA flow-cytometer. RESULTS: The absolute counts of immune competent (CD3+) cells, as well as the counts of helper/inducer (CD3+CD4+) and suppressor/ cytotoxic (CD3+CD8+) T-cell subsets decreased in parallel with disease severity. Naïve (CD4+CD45RA+) and activated memory (CD4+CD45RO+) T-cell subsets were reduced, particularly in severe MSF. Taken as a whole, the counts of activated (CD3+HLA-DR+) and that of presenting accessory (CD28+) or stimulatory (CD38+) molecules Т-cell subsets was increased, but in the first two subsets the trend from mild to severe forms of the disease was descending. CONCLUSION: Reduced T-lymphocyte subset counts are likely related to trans-migration into perivascular inflammatory foci. The increased number of T-lymphocytes bearing activation molecules reflects a mobilization of the cell-mediated immune response. An important issue of this study is the possible prognostic value of T-cell subsets counting, predicting the evolution of a clinical condition to clinical forms, according to the disease severity.

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