Table 3.
AUC (95% Cl) a (n=262) | |
---|---|
Univariable models of biomarkers | |
Urinary sCD163 at biopsy | 0.732 (0.658-0.807) |
Urinary IL6 at biopsy | 0.661 (0.586-0.735) |
Urinary MCP-1 at biopsy | 0.638 (0.560-0.716) |
Clinical models | |
Clinical data at biopsy b | 0.768 (0.688-0.849) |
Clinical data at biopsy + MEST-C c | 0.769 (0.690-0.848) |
Models containing clinical data and biomarkers | |
Clinical data at biopsy + MEST-C + urinary sCD163 | 0.788 (0.717-0.860) |
Clinical data at biopsy + MEST-C + urinary IL6 | 0.774 (0.697-0.851) |
Clinical data at biopsy + MEST-C + urinary MCP-1 | 0.778 (0.704-0.851) |
Models containing clinical data and multiple biomarkers | |
Clinical data at biopsy + MEST-C + urinary sCD163 + IL6 + MCP-1 | 0.784 (0.711-0.858) |
AUC, Area under the Curve of ROC; Cl, confidence interval; MCP-1, monocyte chemoattractant protein-1; MEST-C, histologic score based on mesangial hypercellularity, the presence of endocapillary proliferation, segmental glomerulosclerosis/adhesion, and severity of tubular atrophy/interstitial fibrosis, and crescents formation.
Expressed as AUC, continuous biomarkers were used in the model.
Comprising mean arterial blood pressure, 24 hour proteinuria, and estimated glomerular filtration rate at biopsy.
Oxford histologic classification.