Selected article for: "disease progression and peripheral blood"

Author: Gong, Jing; Dong, Hui; Xia, Qing-Song; Huang, Zhao-yi; Wang, Ding-kun; Zhao, Yan; Liu, Wen-hua; Tu, Sheng-hao; Zhang, Ming-min; Wang, Qi; Lu, Fu-er
Title: Correlation analysis between disease severity and inflammation-related parameters in patients with COVID-19: a retrospective study
  • Cord-id: 080h6auv
  • Document date: 2020_12_21
  • ID: 080h6auv
    Snippet: BACKGROUND: COVID-19 is highly contagious, and the crude mortality rate could reach 49% in critical patients. Inflammation concerns on disease progression. This study analyzed blood inflammation indicators among mild, severe and critical patients, helping to identify severe or critical patients early. METHODS: In this cross-sectional study, 100 patients were included and divided into mild, severe or critical groups according to disease condition. Correlation of peripheral blood inflammation-rela
    Document: BACKGROUND: COVID-19 is highly contagious, and the crude mortality rate could reach 49% in critical patients. Inflammation concerns on disease progression. This study analyzed blood inflammation indicators among mild, severe and critical patients, helping to identify severe or critical patients early. METHODS: In this cross-sectional study, 100 patients were included and divided into mild, severe or critical groups according to disease condition. Correlation of peripheral blood inflammation-related indicators with disease criticality was analyzed. Cut-off values for critically ill patients were speculated through the ROC curve. RESULTS: Significantly, disease severity was associated with age (R = -0.564, P < 0.001), interleukin-2 receptor (IL2R) (R = -0.534, P < 0.001), interleukin-6 (IL-6) (R = -0.535, P < 0.001), interleukin-8 (IL-8) (R = -0.308, P < 0.001), interleukin-10 (IL-10) (R = -0.422, P < 0.001), tumor necrosis factor α (TNFα) (R = -0.322, P < 0.001), C-reactive protein (CRP) (R = -0.604, P < 0.001), ferroprotein (R = -0.508, P < 0.001), procalcitonin (R = -0.650, P < 0.001), white cell counts (WBC) (R = -0.54, P < 0.001), lymphocyte counts (LC) (R = 0.56, P < 0.001), neutrophil count (NC) (R = -0.585, P < 0.001) and eosinophil counts (EC) (R = 0.299, P < 0.001). With IL2R > 793.5 U/mL or CRP > 30.7 ng/mL, the progress of COVID-19 to critical stage should be closely observed and possibly prevented. CONCLUSIONS: Inflammation is closely related to severity of COVID-19, and IL-6 and TNFα might be promising therapeutic targets.

    Search related documents:
    Co phrase search for related documents
    • accurate value and logistic regression analysis: 1
    • acid analysis and acute ards respiratory distress syndrome: 1, 2
    • acid analysis and logistic regression: 1, 2, 3
    • acid analysis and logistic regression analysis: 1, 2, 3
    • acid analysis and lung tissue: 1, 2
    • acute ards respiratory distress syndrome and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute ards respiratory distress syndrome and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
    • acute ards respiratory distress syndrome and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
    • acute ards respiratory distress syndrome and long period: 1, 2
    • acute ards respiratory distress syndrome and lung imaging: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
    • acute ards respiratory distress syndrome and lung tissue: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute ards respiratory distress syndrome and lymphocyte count: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute ards respiratory distress syndrome dyspnea and logistic regression: 1
    • acute ards respiratory distress syndrome dyspnea and logistic regression analysis: 1
    • acute ards respiratory distress syndrome dyspnea and lung tissue: 1
    • acute cardiac injury and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17
    • acute cardiac injury and logistic regression analysis: 1, 2, 3, 4, 5, 6
    • acute cardiac injury and long period: 1
    • acute cardiac injury and lung tissue: 1