Table 3.
Equation performance in kidney donor dataset (n = 287).
| Formula | Bias | Precision | Accuracy | |||
|---|---|---|---|---|---|---|
| MPE [95%CI] | R2 [95% CI] | RMSE [95% CI] | MAPE [95% CI] | P15 [95% CI] | P30 [95% CI] | |
| Cockcroft–Gault | − 1.66 [− 1.88; − 1.43] | 0.64 [0.57; 0.70] | 2.57 [2.37; 2.76] | 16.5% [15.3–17.7%] | 47% [41%; 53%] | 90% [86%; 93%] |
| Ix | − 1.08 [− 1.29; − 0.87] | 0.70 [0.64; 0.75] | 2.10 [1.92; 2.27] | 13.1% [12.1–14.2%] | 63% [57%; 68%] | 97% [95%; 99%] |
| CRAFT 1 | − 0.71 [− 0.91; − 0.51] | 0.73 [0.67; 0.78] | 1.86 [1.70; 2.01] | 12.2%[11.1–13.3%] | 70% [65%; 75%] | 97% [94%; 99%] |
| CRAFT 2 | − 0.73 [− 0.94; 0.52] | 0.69 [0.63; 0.74] | 1.97 [1.80; 2.14] | 12.7% [11.6–13.8%] | 67% [62%; 72%] | 95% [93%; 98%] |
Confidence intervals were calculated with the combined variance of multiple imputation (10×) and bootstrap (1000×).
MPE mean prediction error (mmol/day), MAPE mean absolute percentage error, RMSE root mean squared error (mmol/day), R2 the R2-value calculated with linear regression, p15/p30 the percentage of points that fall within 15%/30% of the outcome.