Table 3.

Comparison of odds ratios, C-statistics and Integrated Discrimination Improvement in the sequence of nested logistic models for risk of early renal decline in patients with Type 2 diabetes.

	Logistic Models for early renal decline
Model	1	2	3	4	5
	OR (95% CI)
ACR	2.15 (1.74; 2.6)	1.92 (1.64; 2.50)	1.73 (1.39; 2.14)	1.58 (1.26; 1.96)	1.44 (1.15; 1.81)
Systolic BP		1.24 (1.11; 1.38)	1.22 (1.09; 1.37)	1.23 (1.10; 1.37)	1.21 (1.08; 1.35)
TNFR1			1.76 (1.42; 2.18)	1.62 (1.31; 2.00)	1.44 (1.16; 1.81)
KIM-1				1.53 (1.23; 1.87)	1.45 (1.16; 1.82)
EGF/MCP-1					0.58 (0.46; 0.74)
C-statistic	0.711	0.734	0.767	0.784	0.808
Δ C-statistic, 95% CI	n.a.	0.023 (0.002; 0.045)	0.033 (0.004; 0.062)	0.017 (−0.002; 0.035)	0.024 (0.002; 0.047)
IDI, 95% CI	n.a.	0.026 (0.012; 0.041)	0.039 (0.025; 0.055)	0.020 (0.010; 0.031)	0.026 (0.013; 0.039)

ACR – urine albumin to urine creatinine ratio, systolic BP – Systolic Blood pressure, IDI - Integrated Discrimination Improvement. Effects for individual markers are presented as odds ratios per 1 quartile increase (or for 10 mmHg increase for systolic BP) from the nested multivariable logistic regression models