An analysis of eight family cluster cases in Wuhan, China: Peripheral blood lymphocyte count may predict Covid-19 mortality

Background: Since December 2019, a novel coronavirus (SARSCoV-2) causing COVID-19 has spread across the world in a global pandemic. Tens of thousands of people were infected, several thousand patients died. However, key risk factors for predicting mortality remain unclear. This study aims to analyze the differences in mortal risk factors between fatal and non-fatal cases within each family, to identify the key risk factors for COVID-19 mortality. Method: Retrospective, randomly selected eight family clusters consisting of 21 individual cases who had been confirmed positive for SARS-CoV-2 and admitted to the Wuhan Union Hospital, Wuhan, China, from February 6 to March 3, 2020. Clinical characteristics and demographic data were tracked up to March 3. Results: Among all 8 family cluster cases, 4 families had death cases. All deaths were elderly individuals (range, 77-88 years), all ICU and severe cases were also elderly individuals (72-88 years). Patient 2-M1, who was the oldest of all cases and first confirmed with COVID-19 on January 10, had four critical comorbid conditions including colon cancer, COPD, hypertension, and coronary disease. But he remains in stable condition after more than 50 days of inpatient treatment. We observed that the absolute count of peripheral blood lymphocyte dropped to less than 0.8G/L of all death and ICU cases, ranging from 0.22 G/L to 0.81 G/L. Conclusions: We found that elderly age is one of the main risk factors for mortality, comorbidities were not predictive of mortality due to COVID-19, although they may extend disease duration. Importantly, we discovered that within our study population the absolute count of peripheral blood lymphocyte is a predictive risk factor for mortality due to COVID-19, establishing that it may be a very important factor for judging a patient’s prognosis. Keywords: COVID-19; Family clusters; Mortality; Risk factors.

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An Analysis of Eight Family Cluster Cases in Wuhan, China: Peripheral Blood Lymphocyte Count May Predict COVID-19 Mortality

10.21203/rs.3.rs-20573/v1 ◽

2020 ◽

Author(s):

Wenzhu Wang ◽

Dandan Cui ◽

Lijuan Zhang ◽

Xiwen Zhu ◽

Heng Fan ◽

...

Keyword(s):

Risk Factors ◽

Peripheral Blood Lymphocyte ◽

Peripheral Blood ◽

Lymphocyte Count ◽

Blood Lymphocyte ◽

Family Cluster ◽

Global Pandemic ◽

The World ◽

Union Hospital ◽

Novel Coronavirus

Abstract Importance: Since December 2019, a novel coronavirus (SARS-CoV-2) causing COVID-19 has spread across the world in a global pandemic. Tens of thousands of people were infected, several thousand patients died. However, key risk factors for predicting mortality remain unclear.Objective: To identify the key risk factors for COVID-19 mortality.Design, Setting, Participants: Retrospective, randomly selected eight family clusters consisting of 21 individual cases who had been confirmed positive for SARS-CoV-2 and admitted to the Wuhan Union Hospital, Wuhan, China, from February 6 to March 3 2020. This study aims to analyze the differences in mortal risk factors between fatal and non-fatal cases within each family.

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Effects of Short-Term Low-Dose Glucocorticoids for Patients with Mild COVID-19

BioMed Research International ◽

10.1155/2020/2854186 ◽

2020 ◽

Vol 2020 ◽

pp. 1-10

Author(s):

Hai-Yan Fu ◽

Yu Luo ◽

Jian-Peng Gao ◽

Lin Wang ◽

Hong-Juan Li ◽

...

Keyword(s):

T Cells ◽

T Cell ◽

Nucleic Acid ◽

Peripheral Blood Lymphocyte ◽

Effect Size ◽

Peripheral Blood ◽

Lymphocyte Count ◽

Blood Lymphocyte ◽

Short Term ◽

The Absolute

Objectives. To evaluate the role of short-term low-dose glucocorticoids in mild COVID-19 patients. Methods. We conducted a retrospective, cross-sectional, single-center study in Kunming, China. A total of 33 mild COVID-19 cases were divided into two treatment groups (with and without glucocorticoids, methylprednisolone, were used in this setting), and the absolute value of peripheral blood lymphocyte count; CD3+, CD4+, and CD8+ T cell counts; and the time to achieve negative transformation of a nucleic acid pharyngeal swab were recorded. Peripheral blood lymphocyte and T cell counts were compared between the treatment group and 25 healthy individuals. At the point of time when there was a 50% accumulation conversion rate (positive to negative nucleic acid on pharyngeal swab), and the nucleic acid turned negative in half of the patients in two groups, the peripheral blood lymphocyte and T cell counts were compared between treatment groups. Results. The mean cumulative time for the 50% negative conversion rate of the nucleic acid in the pharyngeal swab was 17.7±5.1 days and 13.9±5.4 days in the glucocorticoid group and the nonglucocorticoid group, respectively. The absolute peripheral blood lymphocyte count and the T cell subset count in the glucocorticoid group were lower than those in the nonglucocorticoid group. When the nucleic acid turned negative in half of the patients, the absolute value of peripheral blood lymphocyte count and CD4+ T cells of the glucocorticoid group and the nonglucocorticoid group was not significantly different; the CD3+ and CD8+ T cells in the glucocorticoid group were lower than those in the nonglucocorticoid group. The absolute peripheral blood lymphocyte count, CD3+ T cells, and CD4+ T cells in the glucocorticoid group were lower than those of the healthy group during the whole disease period, and CD8+ T cells returned to normal at 19-21 days of the disease period. There was no significant difference between the nonglucocorticoid group and the healthy group for absolute peripheral blood lymphocyte and CD8+ T cells; moreover, CD3+ T cells and CD4+ T cells were lower in the nonglucocorticoid group than those in the healthy group from the day of admission to the 18th day and returned to normal at the period of 19-21 days. The absolute peripheral lymphocyte count (P=0.048, effect size d=0.727) and T cell subset count (CD3: P=0.042, effect size d=0.655; CD4: P<0.01, effect size d=0.599; and CD8: P=0.034, effect size d=0.550) in the nonglucocorticoid group were higher than those in the glucocorticoid group, and the difference between the groups was statistically significant. Conclusions. This study found that the use of short-term, low-dose glucocorticoids does not negatively influence the clinical outcome, without affecting the final clearance of viral nucleic acid in mild COVID-19 patients.

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Peripheral blood lymphocyte subpopulations analysis in unexplained primary recurrent spontaneous abortions

Immunology Letters ◽

10.1016/s0165-2478(97)88381-2 ◽

1997 ◽

Vol 56 (1-3) ◽

pp. 382

Author(s):

C Psarra

Keyword(s):

Peripheral Blood Lymphocyte ◽

Peripheral Blood ◽

Blood Lymphocyte ◽

Lymphocyte Subpopulations ◽

Spontaneous Abortions ◽

Recurrent Spontaneous Abortions

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Faculty Opinions recommendation of Identical beta cell-specific CD8(+) T cell clonotypes typically reside in both peripheral blood lymphocyte and pancreatic islets.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1063892.519132 ◽

2007 ◽

Author(s):

Mark Atkinson

Keyword(s):

T Cell ◽

Beta Cell ◽

Pancreatic Islets ◽

Peripheral Blood Lymphocyte ◽

Peripheral Blood ◽

Blood Lymphocyte ◽

Cd8 T Cell

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Peripheral blood lymphocyte subpopulations in schoolchildren born very preterm

Archives of Disease in Childhood - Fetal and Neonatal Edition ◽

10.1136/fn.81.3.f188 ◽

1999 ◽

Vol 81 (3) ◽

pp. F188-F193 ◽

Cited By ~ 17

Author(s):

A S Pelkonen ◽

H Suomalainen ◽

M Hallman ◽

M Turpeinen

Keyword(s):

Peripheral Blood Lymphocyte ◽

Peripheral Blood ◽

Blood Lymphocyte ◽

Lymphocyte Subpopulations ◽

Very Preterm

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Correlation between lung infection severity and clinical laboratory indicators in patients with COVID-19: a cross-sectional study based on machine learning

BMC Infectious Diseases ◽

10.1186/s12879-021-05839-9 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Xingrui Wang ◽

Qinglin Che ◽

Xiaoxiao Ji ◽

Xinyi Meng ◽

Lang Zhang ◽

...

Keyword(s):

Peripheral Blood Lymphocyte ◽

Peripheral Blood ◽

Blood Lymphocyte ◽

Clinical Laboratory ◽

Lung Infection ◽

Cross Sectional Study ◽

Ct Images ◽

Sectional Study ◽

Laboratory Examination ◽

Cross Sectional

Abstract Background Coronavirus disease 2019 (COVID-19) has caused a global pandemic that has raised worldwide concern. This study aims to investigate the correlation between the extent of lung infection and relevant clinical laboratory testing indicators in COVID-19 and to analyse its underlying mechanism. Methods Chest high-resolution computer tomography (CT) images and laboratory examination data of 31 patients with COVID-19 were extracted, and the lesion areas in CT images were quantitatively segmented and calculated using a deep learning (DL) system. A cross-sectional study method was carried out to explore the differences among the proportions of lung lobe infection and to correlate the percentage of infection (POI) of the whole lung in all patients with clinical laboratory examination values. Results No significant difference in the proportion of infection was noted among various lung lobes (P > 0.05). The POI of total lung was negatively correlated with the peripheral blood lymphocyte percentage (L%) (r = − 0.633, P < 0.001) and lymphocyte (LY) count (r = − 0.555, P = 0.001) but positively correlated with the neutrophil percentage (N%) (r = 0.565, P = 0.001). Otherwise, the POI was not significantly correlated with the peripheral blood white blood cell (WBC) count, monocyte percentage (M%) or haemoglobin (HGB) content. In some patients, as the infection progressed, the L% and LY count decreased progressively accompanied by a continuous increase in the N%. Conclusions Lung lesions in COVID-19 patients are significantly correlated with the peripheral blood lymphocyte and neutrophil levels, both of which could serve as prognostic indicators that provide warning implications, and contribute to clinical interventions in patients.

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