Selected article for: "logistic regression analysis and lymphocyte count"
Author: Hou, Wei; Zhang, Wei; Jin, Ronghua; Liang, Lianchun; Xu, Bin; Hu, Zhongjie
Title: Risk factors for disease progression in hospitalized patients with COVID-19: a retrospective cohort study
  • Cord-id: 27l6l67n
  • Document date: 2020_5_6
    • ID: 27l6l67n
    Snippet: Background: To investigate the risk factors related to aggravation and clinical outcomes in coronavirus disease 2019 (COVID-19) patients. Methods: We performed a retrospective study on the risk factors for disease progression of cases with COVID-19. Based on the clinical types, the patients were divided into a progression group and an improvement group. Multivariable logistic regression and ROC curve analysis were performed to explore the risk factors for disease progression. Results: A total of
    Document: Background: To investigate the risk factors related to aggravation and clinical outcomes in coronavirus disease 2019 (COVID-19) patients. Methods: We performed a retrospective study on the risk factors for disease progression of cases with COVID-19. Based on the clinical types, the patients were divided into a progression group and an improvement group. Multivariable logistic regression and ROC curve analysis were performed to explore the risk factors for disease progression. Results: A total of 101 patients were included in this study; diseases progression occurred in 17 patients, 84 patients improved, 6 were transferred to intensive care unit (ICU), and 5 died. The mean time to obtain negative nucleic acid results was 12.5 ± 5.0 days. Multivariate logistic analysis indicated that age (OR, 0.104; p = .002), C-reactive protein (CRP) (OR, 0.093; p < .001) and lymphocyte count (OR, 3.397; p = .022) were risk factors for disease progression. ROC curve analysis revealed that the AUC of age, CRP and lymphocyte count for disease progression were 0.873, 0.911 and 0.817, respectively. Conclusions: Older age increased CRP and decreased lymphocyte count resulted in potential risk factors for COVID-19 progression. This may be helpful in identifying patients whose condition worsens at an early stage.

    Search related documents:
    Co phrase search for related documents
    • abnormal increase and logistic analysis: 1, 2
    • abnormal increase and logistic regression: 1, 2
    • abnormal increase and lymphocyte count: 1, 2
    • acid detection and logistic analysis: 1, 2, 3, 4, 5, 6, 7
    • acid detection and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
    • acid detection and lymphocyte count: 1, 2, 3, 4, 5, 6, 7, 8, 9
    • acid result and logistic analysis: 1, 2, 3, 4, 5
    • acid result and logistic regression: 1, 2, 3, 4, 5, 6, 7
    • acid result and lymphocyte count: 1, 2
    • acute ards respiratory distress syndrome and liver injury: 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 liver injury kidney injury: 1, 2, 3, 4, 5, 6
    • acute ards respiratory distress syndrome and logistic 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, 25
    • 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 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 develop and logistic analysis: 1
    • acute ards respiratory distress syndrome develop and logistic regression: 1
    • acute ards respiratory distress syndrome develop and lymphocyte count: 1, 2
    • acute renal injury and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
    • acute renal injury and lymphocyte count: 1, 2