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. Author manuscript; available in PMC: 2018 Aug 1.
Published in final edited form as: Lupus. 2016 Dec 19;26(9):927–936. doi: 10.1177/0961203316684212

FIGURE 1. Accuracy of RAIL algorithms after adjustment for renal damage (NIH-CI).

FIGURE 1

Accuracy of the A-RAIL and P-RAIL Algorithms: Using receiver operating characteristic analysis, the accuracy of the A-RAIL and P-RAIL were assessed by determining the area under the curve (AUC), sensitivity (SENS) and specificity (SPEC) for each model at its optimal cut point. The data are adjusted for renal damage (NIH-CI). The models show the P-RAIL and A-RAIL adjusted for urine creatinine (Panel A and B, respectively), A-RAIL using the concentrations of the UBMs without adjustment, (Panel C), and A-RAIL with UBMs adjusted for urine albumin (Panel D). Please refer to Table 3 for additional details on the performance of the algorithms.