Table 1.
Discriminative Ability of Each eGFR Method, Biomarker, and Regression Models, for Cardiovascular Death and Major Bleeding
Cardiovascular Death | Major Bleeding | |||
---|---|---|---|---|
C Index | 95% CI | C Index | 95% CI | |
eGFR method | ||||
Cockcroft‐Gault | 0.608 | 0.582–0.634 | 0.612 | 0.589–0.635 |
MDRD | 0.575 | 0.550–0.600 | 0.575 | 0.551–0.600 |
CKD‐EPICreatinine | 0.579 | 0.553–0.605 | 0.592 | 0.568–0.616 |
CKD‐EPICysC | 0.628 | 0.603–0.653 | 0.611 | 0.588–0.634 |
CKD‐EPICysC+Creatinine | 0.615 | 0.590–0.640 | 0.612 | 0.589–0.636 |
Biomarkers | ||||
Creatinine | 0.584 | 0.558–0.611 | 0.582 | 0.558–0.605 |
CysC | 0.631 | 0.606–0.656 | 0.608 | 0.585–0.631 |
Creatinine+CysC | 0.637 | 0.612–0.661 | 0.619 | 0.597–0.642 |
Regression model | ||||
Age+sex+weight | 0.618 | 0.593–0.642 | 0.627 | 0.605–0.648 |
Regression model and biomarkers | ||||
Age+sex+weight+creatinine | 0.633 | 0.609–0.658 | 0.645 | 0.623–0.667 |
Age+sex+weight+CysC | 0.667 | 0.643–0.692 | 0.649 | 0.627–0.671 |
Age+sex+weight+creatinine+CysC | 0.673 | 0.649–0.696 | 0.656 | 0.634–0.678 |
Regression model and eGFR | ||||
Age+sex+weight+Cockcroft‐Gault | 0.638 | 0.614–0.662 | 0.640 | 0.618–0.662 |
Age+sex+weight+MDRD | 0.633 | 0.609–0.658 | 0.642 | 0.620–0.664 |
Age+sex+weight+CKD‐EPICreatinine | 0.637 | 0.613–0.662 | 0.642 | 0.621–0.664 |
Age+sex+weight+CKD‐EPICysC | 0.666 | 0.642–0.690 | 0.648 | 0.626–0.670 |
Age+sex+weight+CKD‐EPICysC+Creatinine | 0.657 | 0.632–0.681 | 0.650 | 0.628–0.672 |
CKD‐EPI indicates Chronic Kidney Disease Epidemiology Collaboration; CysC, Cystatin C; eGFR, estimated glomerular filtration rate; and MDRD, Modification of Diet in Renal Disease.