Selected article for: "composite endpoint and severe symptom"

Author: Zhang, Wenjing; Li, Lei; Liu, Jihai; Chen, Li; Zhou, Fangfang; Jin, Ting; Jiang, Lin; Li, Xiang; Yang, Ming; Wang, Hongxiang
Title: The characteristics and predictive role of lymphocyte subsets in COVID-19 patients
  • Cord-id: fzzr1b4q
  • Document date: 2020_8_3
  • ID: fzzr1b4q
    Snippet: Abstract Objective To investigate the characteristics and predictive roles of lymphocyte subsets in COVID-19 patients. Method We evaluated lymphocyte subsets and other clinical features of COVID-19 patients and analysed their potential impacts on COVID-19 outcomes. Results 1. Lymphocyte subset counts in the peripheral blood of patients with COVID-19 were significantly reduced, especially in patients with severe disease. 2. In patients with non-severe diseases, the time from symptom onset to hosp
    Document: Abstract Objective To investigate the characteristics and predictive roles of lymphocyte subsets in COVID-19 patients. Method We evaluated lymphocyte subsets and other clinical features of COVID-19 patients and analysed their potential impacts on COVID-19 outcomes. Results 1. Lymphocyte subset counts in the peripheral blood of patients with COVID-19 were significantly reduced, especially in patients with severe disease. 2. In patients with non-severe diseases, the time from symptom onset to hospital admission was positively correlated with total T cell counts. 3. Among COVID-19 patients who did not reach the composite endpoint, lymphocyte subset counts were higher than in patients who had reached the composite endpoint. 4. The Kaplan-Meier survival curves showed significant differences in COVID-19 patients, classified by the levels of total, CD8+ and CD4+ T cells at admission. Conclusion Our study shows that the total, CD8+ and CD4+ T cell counts in patients with COVID-19 were significantly reduced, especially in patients with severe disease. T lymphocyte subsets were significantly associated with a higher occurrence of composite endpoint events. These subsets may help identify patients with a high risk of composite endpoint events.

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