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. 2016 Aug 17;1(4):256–268. doi: 10.1016/j.ekir.2016.08.007

Table 2.

Comparison of c-statistic, category-free continuous NRI, and IDI and their 95% confidence intervals in the “training set,” “test set,” and the entire cohort by base models, lipids, and their combinations to predict progression of chronic kidney disease to end-stage kidney disease

Models Training set (Npatient = 134)
Test set (Npatient = 66)
C (95% CI) NRI IDI (95% CI) c (95% CI) NRI IDI (95% CI)
Base (eGFR + UPCR) 0.83 (0.76–0.90) Sensitivity: 31/57 0.78 (0.67–0.89) Sensitivity: 6/22
Specificity: 41/77 Specificity: 18/44
FDR-driven models
 Lipids (n = 3) 0.86 (0.79–0.92)a Event NRI: 31/57 0.22 (0.15–0.29)b 0.81 (0.70–0.93) Event NRI: 10/22 0.28 (0.16–0.40)b
Nonevent NRI: 49/77 Nonevent NRI: 26/44
Overall NRI: 1.18b Overall NRI: 1.05b
 Lipids + base model 0.92 (0.88–0.97)a Event NRI: 53/57 0.23 (0.16–0.30)b 0.91 (0.83–0.99)a Event NRI: 12/22 0.38 (0.25–0.52)b
Nonevent NRI: 49/77 Nonevent NRI: 30/44
Overall NRI: 1.34b Overall NRI: 1.23b
RF-driven models
 Lipids (n = 4) 0.89 (0.83–0.95)a Event NRI: 35/57 0.28 (0.20–0.35)b 0.85 (0.76–0.95)a Event NRI: 10/22 0.28 (0.16–0.41)b
Nonevent NRI: 53/77 Nonevent NRI: 26/44
Overall NRI: 1.30b Overall NRI: 1.05b
 Lipids + base model 0.94 (0.90–0.98)a Event NRI: 41/57 0.30 (0.22–0.39)b 0.93 (0.87–0.99)a Event NRI: 12/22 0.40 (0.26–0.53)b
Nonevent NRI: 59/77 Nonevent NRI: 30/44
Overall NRI: 1.49b Overall NRI: 1.23b
PLS-DA driven models
 Lipids (n = 6) 0.92 (0.87–0.97)a Event NRI: 37/57 0.36 (0.25–0.42)b 0.80 (0.69–0.91) Event NRI: 8/22 0.20 (0.09–0.31)b
Nonevent NRI: 53/77 Nonevent NRI:24/44
Overall NRI: 1.34b Overall NRI: 0.91b
 Lipids + base model 0.95 (0.92–0.99)a Event NRI: 43/57 0.37 (0.28–0.45)b 0.90 (0.82–0.97)a Event NRI: 12/22 0.27 (0.15–0.39)b
Nonevent NRI: 65/77 Nonevent NRI: 24/44
Overall NRI: 1.60b Overall NRI: 1.09b

P values are comparisons with the corresponding base model. The components of FDR-driven model were DAG 36:0, DAG 32:0, MAG 16:0. The components of the RF-driven model were DAG 36:0, DAG 32:0, MAG 16:0, and PC 34:3. The components of the PLS-DA-driven model were DAG 36:0, DAG 32:0, MAG 26:2, MAG 20:0, MAG 16:0, and PC 34:3.

CI, confidence interval; DAG, diacylglycerol; eFGR, estimated glomerular filtration rate; FDR, false discovery rate; IDI, integrated discrimination improvement; MAG, monoacylglycerol; NRI, net reclassification improvement; PC, phosphatidylcholine; PLS-DA, partial least square-discriminant analysis; RF, Random Forest; UPCR, urine protein-to-creatinine ratio.

a

P < 0.05, bP < 0.001.