Clinical use of the nomogram
The DCA curve was performed to determine clinical practice of this nomogram by quantifying the net benefits at different threshold probabilities. (Net benefit is defined as the proportion of true positives minus the proportion of false positives, weighted by the relative harm of false-positive and false-negative results.) The decision curve showed that if the threshold probability of a patient or doctor is 10–60%, using the nomogram to predict RRT adds more benefit than either the treat-all-patients scheme or the treat-none scheme and produced greater net benefit than sCr, and BUN (Fig. Decision curve analysis of the nomogram, Scr, and BUN for the risk of RRT in the training cohort (