Table V.
Performance of the models for predicting all-cause mortality
| Variable | Model 1 | Model 2 | Model 3 | Model 4 |
|---|---|---|---|---|
| Discrimination: | ||||
| Δ C statistics, 95% CI | Reference | 0.005 (–0.015 to 0.025) | 0.005 (–0.013 to 0.024) | 0.010 (–0.013 to 0.033) |
| Calibration: | ||||
| H-L | χ2 = 15.14 p = 0.08 | χ2 = 15.45 p = 0.08 | χ2 = 13.06 p = 0.16 | χ2 = 15.46 p = 0.08 |
| AIC | 939.29 | 934.58 | 937.23 | 933.94 |
| BIC | 956.71 | 954.49 | 957.14 | 956.34 |
| Reclassification: | ||||
| IDI, 95% CI | Reference | 0.017 (–0.001 to 0.056) | 0.019 (–0.001 to 0.056) | 0.31 (0.003 to 0.082) |
| NRI, 95% CI | Reference | 0.120 (–0.036 to 0.235) | 0.107 (–0.073 to 0.266) | 0.168 (0.004 to 0.312) |
C statistic with only conventional predictors was 0.749. AIC – Akaike information criterion, BIC – Bayesian information criterion, H-L – Hosmer and Lemeshow test, NRI – net reclassification improvement. Model 1 – age, gender, smoking status, diabetes, systolic blood pressure, HDL and total cholesterol. Model 2 – Model 1 + NT-proBNP. Model 3 – Model 1 + RFO. Model 4 – Model 1 + NT-proBNP + RFO.