Characteristics of lymphocyte subsets and cytokine profiles of patients with COVID-19
Cytokine Storm
DOI:
10.1186/s12985-022-01786-2
Publication Date:
2022-03-29T02:04:48Z
AUTHORS (10)
ABSTRACT
Abnormalities of lymphocyte subsets and cytokine profiles have been observed in most patients with coronavirus disease (COVID-19). Here, we explore the role cytokines on hospital admission predicting severity COVID-19.This study included 214 COVID-19 who were treated at Chongqing University Three Gorges Hospital from January 19, 2020 to April 30, 2020. Any mutants not detected studied patients. Patients divided into non-intensive care unit (ICU) (mild/moderate) group ICU (severe/critical) group, according disease. Clinical laboratory data, including peripheral cytokines, analyzed compared. Logistic regression was used analyze predictive factors for admission. Receiver operating characteristic (ROC) curves drawn evaluate value selected indicators COVID-19.Of enrolled, 161 non-ICU 53 Lymphopenia nearly all (96.2%) 84.5% The absolute number lymphocytes, CD3+ T cells, CD4+ CD8+ CD19+ B natural killer (NK) cells lower (659.00 × 106/L, 417.00 261.00 140.00 109.00 102.00 respectively) than (1063.00 109/L, 717.00 432.00 271.00 133.00 143.00 respectively). Interleukin (IL)-6 significantly higher (18.08 pg/mL vs. 3.13 pg/mL, P < 0.001). Multivariate logistic analysis showed that age (odds ratio: 1.067 [1.034-1.101]), diabetes mellitus 9.154 [2.710-30.926]), 0.996 [0.994-0.997]), IL-6 1.006 [1.000-1.013]) independent predictors development severe ROC curve area under (AUC) 0.806 (0.737-0.874) 0.785 (0.705-0.864), respectively, cutoff values 510.50 106/L (sensitivity, 71.7%; specificity, 79.5%) 6.58 (77.4%, 74.5%), respectively. There no statistical differences among tested between (n = 38) critical 15) or admission, respectively.The levels decreased level increased compared Therefore, may serve as identifying wild-type virus infection will
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