Table 3.
C-statistics and internal validation of CKD prediction model incorporating GDF-15 at different time points in the 4C cohort
| Time point | C-statistic (95% CI) |
Leave-1-out cross-validation |
Bootstrapping |
||||
|---|---|---|---|---|---|---|---|
| Model 0 | Model 1 | ΔC-statistic | Model 0 | Model 1 | Model 0 | Model 1 | |
| 1-yr | 0.851 (0.815–0.887) | 0.858 (0.825–0.892) | 0.007 (−0.001 to 0.015) | 0.849 | 0.855 | 0.849 | 0.855 |
| 2-yr | 0.814 (0.785–0.844) | 0.819 (0.790–0.847) | 0.004 (−0.001 to 0.010) | 0.812 | 0.815 | 0.812 | 0.815 |
| 3-yr | 0.799 (0.769–0.828) | 0.803 (0.774–0.831) | 0.004 (−0.001 to 0.010) | 0.796 | 0.799 | 0.796 | 0.800 |
CI, confidence interval; CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate; GDF-15, growth differentiation factor 15; SDS, SD score; uPCR, urinary protein-to-creatinine ratio.
Model 0 includes sex, age, log-transformed uPCR, systolic blood pressure SDS, and log-transformed eGFR. Model 1 includes all variables of model 0 and log-transformed GDF-15.