Selected article for: "cc ND international license and clinical outcome"
Author: Xiaomin Luo; Wei Zhou; Xiaojie Yan; Tangxi Guo; Benchao Wang; Hongxia Xia; Lu Ye; Jun Xiong; Zongping Jiang; Yu Liu; Bicheng Zhang; Weize Yang
Title: Prognostic value of C-reactive protein in patients with COVID-19
  • Document date: 2020_3_23
    • ID: m76ic66s_18
    Snippet: The independent predictors were identified from risk factors relating to adverse clinical outcome by logistic regression model. As indicated in table 2, age, neutrophil count, platelet count, and CRP were found to be independent predictors of adverse outcome. Hosmer and Lemeshow test showed a good model adequacy (χ 2 =6.64, p=0.576). To determine and compare the accuracy of these factors in adverse outcome prediction, ROC curve analysis was perf.....
    Document: The independent predictors were identified from risk factors relating to adverse clinical outcome by logistic regression model. As indicated in table 2, age, neutrophil count, platelet count, and CRP were found to be independent predictors of adverse outcome. Hosmer and Lemeshow test showed a good model adequacy (χ 2 =6.64, p=0.576). To determine and compare the accuracy of these factors in adverse outcome prediction, ROC curve analysis was performed and the difference in AUCs was tested. Figure 1 ). The AUC of CRP was significantly higher than that of age (z=2.05, p=0.041), neutrophil count (z = 2.09, p =0.028), and platelet count (z = 5.65, p <0.001) for adverse outcome prediction. With a cut-off . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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