Table 3.

Risk discrimination metrics for all-cause death and cardiovascular events

ModelAll-Cause DeathCardiovascular Events
C Statistic (95% CI)∆C Statistic (95% CI)C Statistic (95% CI)∆C Statistic (95% CI)
Model 1: RFs0.61 (0.58 to 0.63)0.58 (0.55 to 0.61)
Model 2: RFs and suPAR0.63 (0.60 to 0.65)a0.02 (0.00 to 0.03)a0.60 (0.57 to 0.63)a0.03 (0.00 to 0.05)a
Model 3: RFs and clinical0.67 (0.65 to 0.70)0.64 (0.61 to 0.67)
Model 4: RFs, clinical, and suPAR0.68 (0.65 to 0.70)0.01 (−0.00 to 0.01)0.65 (0.62 to 0.67)0.01 (−0.01 to 0.01)
Model 5: RFs, clinical, and inflammation0.68 (0.66 to 0.70)0.65 (0.62 to 0.67)
Model 6: RFs, clinical, inflammation, and suPAR0.68 (0.66 to 0.71)0.00 (−0.00 to 0.01)0.65 (0.62 to 0.67)0.00 (−0.01 to 0.01)
  • All models 1–6 include age, sex, body mass index, hypertension, LDL cholesterol, HDL cholesterol, use of angiotensin-converting enzyme inhibitors, and antiplatelet therapy. Models 3–6 have, in addition, congestive heart failure, coronary artery disease, peripheral vascular disease, use of diuretics, vascular access, hemoglobin levels, and albumin levels. Lastly, C-reactive protein, leukocyte count, and asymmetric dimethyl arginine levels are incorporated in models 5 and 6. The change in C statistic reported is relative to the previous model not including suPAR. 95% CI, 95% confidence interval; RF, risk factor; —, baseline model; suPAR, soluble urokinase plasminogen activator receptor.

  • a Values reflect statistically significant change in C statistic.