Table 4.

Prediction of ESRD among 402 patients with kidney biopsies

VariablesAll Patients with CKD, n=402Subgroup with CKD Due to Cause Other Than Diabetes, n=301Subgroup with CKD Due to Diabetes, n=101
Model 1Model 1 + Log10 (Urinary Fibrinogen to Cr)Model 1Model 1 + Log10 (Urinary Fibrinogen to Cr)Model 1Model 1 + Log10 (Urinary Fibrinogen to Cr)
AUC0.730.760.840.850.710.74
LR test0.003a0.07a0.02a
AIC333.6326.9b141.1139.9133.9130.6b
IDI0.02 (95% CI, 0.01 to 0.04); P<0.01a0.01 (95% CI, <−0.01 to 0.01); P=0.20a0.05 (95% CI, <0.01 to 0.09); P=0.04a
NRI0.43 (95% CI, 0.17 to 0.69); P=0.001a0.13 (95% CI, −0.27 to 0.53); P=0.34a0.48 (95% CI, 0.07 to 0.88); P=0.02a
  • Model 1 included eGFR, urine protein, and BP (adjusted for age and sex); model 2 included panel + log10 (urinary fibrinogen to Cr). Cr, creatinine; AUC, area under the curve; LR, likelihood ratio; AIC, Akaike information criterion; IDI, integrated discrimination improvement; 95% CI, confidence interval; NRI, net reclassification improvement.

  • a P value (model 1 versus model 2).

  • b Significant between models 1 and 2.