Figures & data
Table 1 Baseline Characteristics of Patients in Training Cohort and Validation Cohort
Table 2 Univariate and Multivariable Logistic Regression Analysis of the Training Cohort
Figure 1 ROC curves of the nomogram, FPG, PLT, D-dimer, and cTnI in the training and validation cohorts. (A) ROC curve in training cohort. (B) ROC curve in validation cohort.
![Figure 1 ROC curves of the nomogram, FPG, PLT, D-dimer, and cTnI in the training and validation cohorts. (A) ROC curve in training cohort. (B) ROC curve in validation cohort.](/cms/asset/66cdf403-2352-4692-a3c1-1007351f58bb/didr_a_12166007_f0001_c.jpg)
Figure 2 The nomogram predicts the probability of hospitalized COVID-19 patients progressing to ARDS. The score for each value is assigned by drawing a line upward to the points line, and the sum of the four scores is plotted on the Total points line.
![Figure 2 The nomogram predicts the probability of hospitalized COVID-19 patients progressing to ARDS. The score for each value is assigned by drawing a line upward to the points line, and the sum of the four scores is plotted on the Total points line.](/cms/asset/bcedecd2-265d-47c0-b31f-5ef335a7b39b/didr_a_12166007_f0002_b.jpg)