Table 3 Predictors of mortality in multivariable logistic regression by eGFR estimating equation
Variable | Odds Ratio | 95%CI | P-value | AIC | |
|---|---|---|---|---|---|
CG | Male | 0.97 | 0.66 to 1.44 | 0.882 | 852.4 |
Age | 1.01 | 0.99 to 1.03 | 0.229 | ||
eGFR < 90 | 1.53 | 0.99 to 2.34 | 0.049 | ||
Proteinuria | 2.69 | 1.85 to 3.91 | 0.000 | ||
Diabetes | 3.26 | 1.37 to 7.71 | 0.008 | ||
BMI | 0.93 | 0.90 to 0.97 | 0.002 | ||
CKD-EPI[ASR] | Male | 0.98 | 0.66 to 1.45 | 0.912 | 838.1 |
Age | 1.01 | 0.99 to 1.03 | 0.510 | ||
eGFR < 90 | 2.97 | 1.86 to 4.76 | 0.000 | ||
Proteinuria | 2.47 | 1.66 to 3.64 | 0.000 | ||
Diabetes | 3.09 | 1.28 to 7.48 | 0.012 | ||
BMI | 0.92 | 0.89 to 0.96 | 0.000 | ||
CKD-EPI [AS] | Male | 0.95 | 0.64 to 1.41 | 0.806 | 844.1 |
Age | 1.01 | 0.99 to 1.03 | 0.381 | ||
eGFR < 90 | 2.14 | 1.42 to 3.23 | 0.000 | ||
Proteinuria | 2.59 | 1.78 to 3.75 | 0.000 | ||
Diabetes | 3.38 | 1.43 to 8.02 | 0.006 | ||
BMI | 0.92 | 0.88 to 0.95 | 0.000 |