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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 4.

A-RAIL and P-RAIL Algorithms used with Cut off (Logit) Values

Name Algorithms for predicting Lupus Nephritis activity Logit Cut-off
A-RAIL
 Creatinine adjusted (1a) 0.21 +0.67*NGAL +0.28*MCP1 −0.12*Ceruloplasmin +0.88*Adiponectin −0.25*Hemopexin −0.05*KIM1 −0.97
 Absolute amounts (1b) −5.05 +0.56*NGAL +0.12*MCP1 −0.29*Ceruloplasmin +0.88*Adiponectin +0.01*Hemopexin +0.02*KIM1 −1.92
 Albumin adjusted (1c) 3.47 +0.43*NGAL +0.16*MCP1 −0.23*Ceruloplasmin +0.81*Adiponectin −0.05*Hemopexin −0.62*KIM1 −2.06

P-RAIL
 Creatinine adjusted (2) −4.29 −0.34*NGAL +0.89* MCP1 −0.06*ceruloplasmin +0.18* Adiponectin −0.65*Hemopexin +0.62*KIM1 −1.87

Parameter estimates used for the algorithms calculated using a logistic regression model with LN activity (NIH-AI) being the dichotomized outcome variable. Please refer to Supplementary Table 1 for details on the parameters ± SE values for individual biomarkers used.

Urine biomarkers include: neutrophil gelatinase associated lipocalin (NGAL) [ng/ml], monocyte chemotactic protein 1 (MCP-1) [pg/ml], ceruloplasmin [μg/ml], adiponectin [ng/ml], hemopexin [mg/ml] and kidney injury molecule 1 (KIM-1) [pg/ml].

For (1a), (1b), (1c) and (2): Please refer to Table 3 for details.