Selected article for: "Disease severity and retrospective study"

Author: Sun, Da-wei; Zhang, Dong; Tian, Run-hui; Li, Yang; Wang, Yu-shi; Cao, Jie; Tang, Ying; Zhang, Nan; Zan, Tao; Gao, Lan; Huang, Yan-zhu; Cui, Chang-lei; Wang, Dong-xuan; Zheng, Yang; Lv, Guo-yue
Title: The underlying changes and predicting role of peripheral blood inflammatory cells in severe COVID-19 patients: a sentinel?
  • Cord-id: 4nlg26p5
  • Document date: 2020_5_14
  • ID: 4nlg26p5
    Snippet: BACKGROUND: The underlying changes of peripheral blood inflammatory cells (PBICs) in COVID-19 patients are little known. Moreover, the risk factors for the underlying changes of PBICs and their predicting role in severe COVID-19 patients remain uncertain. MATERIAL AND METHODS: This retrospective study including two cohorts: the main cohort enrolling 45 patients of severe type serving as study group, and the secondary cohort enrolling 12 patients of no-severe type serving as control group. The PB
    Document: BACKGROUND: The underlying changes of peripheral blood inflammatory cells (PBICs) in COVID-19 patients are little known. Moreover, the risk factors for the underlying changes of PBICs and their predicting role in severe COVID-19 patients remain uncertain. MATERIAL AND METHODS: This retrospective study including two cohorts: the main cohort enrolling 45 patients of severe type serving as study group, and the secondary cohort enrolling 12 patients of no-severe type serving as control group. The PBICs analysis was based on blood routine and lymphocyte subsets. The inflammatory cell levels were compared among patients according to clinical classifications, disease-associated phases, as well as one-month outcomes. RESULTS: Compared with patients of non-severe type, the patients of severe type suffered from significantly decreased counts of lymphocytes, eosinophils, basophils, but increased counts of neutrophils. These PBICs alterations got improved in recovery phase, but persisted or got worse in aggravated phase. Compared with patients in discharged group, the patients in un-discharged/died group suffered from decreased counts of total T lymphocytes, CD4+T lymphocytes, CD8+T lymphocytes, as well as NK cells at 2 weeks after treatment. Clinical classification-critically severe was the independently risk factor for lymphopenia (OR=7.701, 95%CI:1.265-46.893, P=0.027), eosinopenia (OR=5.595, 95%CI:1.008-31.054, P=0.049) and worse one-month outcome (OR=8.984; 95%CI:1.021-79.061, P=0.048). CONCLUSION: Lymphopenia and eosinopenia may serve as predictors of disease severity and disease progression in COVID-19 patients, and enhancing the cellular immunity may contribute to COVID-19 treatment. Thus, PBICs might become a sentinel of COVID-19, and it deserves attention during COVID-19 treatment.

    Search related documents:
    Co phrase search for related documents
    • absolute number and acute phase: 1
    • absolute number and logistic regression: 1, 2, 3, 4, 5
    • absolute number and logistic regression analysis: 1
    • absolute number and lung disease: 1
    • absolute number and lung function: 1
    • absolute number and lung injury: 1
    • absolute number and lung pathology: 1
    • absolute number and lymphocyte count: 1, 2, 3
    • absolute number and lymphocyte subset: 1, 2
    • acid detection and acute phase: 1, 2, 3
    • acid detection and acute sars cov respiratory syndrome cov: 1, 2, 3, 4
    • acid detection and admission day: 1, 2, 3
    • acid detection and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
    • acid detection and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7
    • acid detection and logistic regression result: 1
    • acid detection and lung disease: 1, 2, 3
    • acid detection and lung function: 1, 2
    • acid detection and lung injury: 1, 2
    • acid detection and lung resolution: 1, 2