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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

TABLE 3.

Diagnostic Accuracy of RAIL algorithms that do not adjust for concomitant kidney damage

Measurement properties A-RAIL
P-RAIL
Creatinine adjusted (1a) Absolute amounts (1b) Albumin adjusted (1c) Creatinine adjusted (2)
Accuracy [AUC (95% CI)]# 0.86 (0.76, 0.95) 0.88 (0.80, 0.96) 0.78 (0.66, 0.90) 0.63 (0.46, 0.79)
Sensitivity 80.0% 100.0% 100.0% 86.7%
Specificity 76.3% 67.8% 44.1% 25.9%
Positive likelihood ratio 3.38 3.11 1.79 1.17
Negative likelihood ratio 0.26 0.00 0.00 0.51
Logit cut −0.97 −1.92 −2.06 −1.84
#

The AUC refers to the area under the Receiver Operating Curve (ROC), expressed with its 95% confidence interval (CI).

(1a)

Differential weightings for the 6 RAIL-UBM standardized by urine creatinine and uncorrected for concomitant LN chronicity are used. Weightings were derived by logistic regression using data from the 79 patients enrolled in this study. Please refer to Table 4 for details about the A-RAIL algorithms used.

(1b)

As (1a) but without standardization by urine creatinine and without correction for concomitant LN chronicity.

(1c)

As (1a) but RAIL-UBM levels are standardized by urine albumin and without correction for concomitant LN chronicity.

(2)

RAIL algorithm (reference 7) considering the 6 RAIL-UBM standardized by urine creatinine and uncorrected for concomitant LN chronicity. This algorithm was developed using pediatric data and samples. (− 4.29 −0.34* NGAL + 0.89* MCP-1 −0.06*ceruloplasmin + 0.18* adiponectin − 0.65 * hemopexin + 0.62 * KIM-1).