Objectives
The Renal Activity Index for Lupus (RAIL) score was developed in children with lupus nephritis (LN) as a weighted sum of six urine biomarkers (RAIL-UBMs) [neutrophil gelatinase associated lipocalin, monocyte chemotactic protein 1, ceruloplasmin, adiponectin, hemopexin and kidney injury molecule 1] measured in a random urine sample. We aimed at prospectively validating the RAIL in adults with LN.
Methods
Urine from 79 adults was collected at the time of kidney biopsy to assay the RAIL-UBMs. Using Receiver Operating Characteristic curve (ROC) analysis, we evaluated the accuracy of the RAIL to discriminate high LN-activity status [National Institutes of Health Activity Index (NIH-AI) score > 10], from low/moderate LN-activity status [NIH-AI score ≤ 10].
Results
In this mixed racial cohort, high LN-activity was present in 15 patients (19%), and 71% had proliferative LN. Use of the identical RAIL algorithm developed in children (P-RAIL) resulted only in fair prediction of LN-activity status of adults [area-under the ROC-curve (AUC) 0.62]. Alternative weightings of the six RAIL-UBMs as suggested by logistic regression yielded excellent accuracy to predict LN-activity status (A-RAIL; AUC = 0.88). Accuracy of the model did not improve with adjustment of the UBMs for urine creatinine or albumin, and was little influenced by concurrent kidney damage.
Conclusions
The RAIL-UBMs provide excellent prediction of LN-activity in adults. Age-adaption of the RAIL is warranted to optimize its discriminative validity to non-invasively predict high LN-activity status.