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. Author manuscript; available in PMC: 2017 Nov 1.
Published in final edited form as: Kidney Int. 2016 Sep 19;90(5):1090–1099. doi: 10.1016/j.kint.2016.07.018

Table 6.

Performance of the multivariable Cox regression models for death

MODEL 1 MODEL 2 MODEL 3 MODEL 4
Performance measure Clinical Clinical + Classification MODEL 2 + SCysC MODEL 2 + pNGAL
OVERALL

(a) LR statistic 20.24 41.00 24.53
(b)% of explained variation 17.0% 18.98% 19.87% 19.72%

DISCRIMINATION

C statistic 0.738 0.755 0.758 0.753

CALIBRATION

slope shrinkage estimate 0.956 0.925 0.906 0.915

ADDED VALUE (c1) (c2) (c3)

NRI events % (CI) −13.2 (−28.8 – 2.3) 12.1 (−3.5 – 27.7) 26.6 (11.0 – 42.2)
NRI non-events % (CI) 50.3 (41.1 – 59.5) 8.4 (−0.1 – 17.8) 4.8 (−4.6 – 14.1)

IDI 0.034 (0.017 – 0.050) 0.014 (0.002 – 0.027) 0.009 (0.003 – 0.014)
IDI events 0.026 (0.011 – 0.041) 0.017 (0.006 – 0.029) 0.012 (0.007 – 0.017)
IDI non-events 0.008 (0.000 – 0.015) −0.003 (−0.008 – 0.002) −0.004 (−0.006 – −0.001)
(a)

For all likelihood-ratio tests: MODEL 1 nested in MODEL 2, and MODEL 2 nested in MODEL 3 and MODEL 4, p<0.001 was obtained;

(b)

Nagelkerke R2;

(c1) corresponds to the added value to the clinical model attained by Classification, on the developed sample; (c2) and (c3) correspond, respectively, to the added value to the clinical + Classification model attained by SCysC and pNGAL, on the developed sample.