Prediction model for rapid estimated glomerular filtration rate decline in type 2 diabetes mellitus

Table 3 Comparison with established diabetic kidney disease risk prediction models

Performance metric	Our nomogram	KFRE-8	KFRE-4	KDIGO stratification
Discrimination
AUC (95%CI)	0.876 (0.836-0.916)	0.811 (0.769-0.853)	0.782 (0.738-0.826)	0.758 (0.713-0.803)
P value (vs nomogram)	-	0.018	0.002	< 0.001
Sensitivity (%)	81.5	73.0	68.5	61.8
Specificity (%)	79.8	76.1	74.6	78.4
Reclassification
NRI	-	0.312 (< 0.001)	0.428 (< 0.001)	-
IDI	-	0.089 (< 0.001)	0.156 (< 0.001)	-
Calibration
Hosmer-Lemeshow χ²	6.34	11.28	15.76	18.92
P value	0.61	0.19	0.046	0.015
Clinical utility
Net benefit (30% threshold)	0.31	0.18	0.14	0.09

CI: Confidence interval; KFRE: Kidney failure risk equation; KDIGO: Kidney Disease: Improving Global Outcomes; AUC: Area under the curve; NRI: Net reclassification improvement; IDI: Integrated discrimination improvement.