Prognostic Factors for COVID-19 Hospitalized Patients with Preexisting Type 2 Diabetes

Figure 3

Development and performance of a nomogram to predict the survival probability of COVID-19 patients with T2D. (a) Prognostic nomogram for predicting the overall survival probability of COVID-19 patients with T2D. To use the nomogram, an individual patient’s value is located on each variable axis, and a line is drawn upward to determine the number of points received for each variable. The sum of these numbers is located on the total point axis, from where a line can be drawn downward to predict the survival probability at 7, 14, and 21 days of hospitalization. (b) To evaluate the nomogram model, the calibration curves are shown predicting the likelihood of 7-day, 14-day, and 21-day survival. The x-axis displays the predicted probabilities generated by the statistical model, and the y-axis shows the fraction of patients who were alive at the given predicted probability. The diagonal grey line represents a perfect prediction by an ideal model. The solid red line represents the performance of the nomogram, of which a closer fit to the grey line represents a better prediction. As demonstrated, there was an excellent correspondence between the predicted probability of 7-day survival and the observed frequency of survival in COVID-19 patients with T2D.

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