Fig. 3: Performances of models with dd-cfDNA and without dd-cfDNA to detect kidney allograft rejection.
From: Cell-free DNA for the detection of kidney allograft rejection
a,b, The ROC curve, which describes the capacity of the models in discriminating rejection in the derivation cohort (a) and in the external validation cohort (b). The orange and blue lines represent the ROC curves of the models with and without dd-cfDNA, respectively. The two models also include the standard of care parameters that were independently associated with rejection in the derivation cohort (eGFR, proteinuria, anti-HLA DSA, previous episode of rejection, kidney graft instability). In those two cohorts, including dd-cfDNA beyond standard of care parameters resulted in better discrimination performances, as the AUC increased from 0.777 to 0.821 in the derivation cohort (P = 0.0011) and from 0.743 to 0.842 in the validation cohort (P < 2.2 × 10−16) using the Delong test.
