Table 4.
Youden’s J | Sensitivitya | Specificitya | AUCc | SEd of AUCc | 95% CIe of AUCc | ||
---|---|---|---|---|---|---|---|
Model 1 | 0.62 | 0.80 | 0.82 | 0.84 | 0.03 | 0.79, 0.91 | 2=77.00 P <0.001 |
Model 2 | 0.56 | 0.80 | 0.76 | 0.83 | 0.03 | 0.78, 0.90 | |
Model 3 | 0.57 | 0.75 | 0.81 | 0.83 | 0.03 | 0.77, 0.89 | |
Model 4 | 0.07 | 0.11 | 0.96 | 0.49 | 0.05 | 0.40, 0.58 | |
Model 5 | 0.07 | 0.28 | 0.79 | 0.47 | 0.05 | 0.38, 0.56 | |
Model 6 | 0.18 | 0.60 | 0.58 | 0.59 | 0.04 | 0.52, 0.66 |
Model 1 covariates: ASA, age, logMorbidity POSSUM, logMortality POSSUM, surgery indication, PRB transfusion, cancer, systolic blood pressure, surgical procedure
Model 2 covariates: ASA, age, logMortality POSSUM, surgery indication, PRB transfusion, cancer, systolic blood pressure, surgical procedure
Model 3 covariates: ASA, age, logMorbidity POSSUM, surgery indication, PRB transfusion, cancer, systolic blood pressure, surgical procedure
Model 4 covariate: logMortality POSSUM
Model 5 covariate: logMorbidity POSSUM
Model 6 covariate: Osteopenia
At optimum cut-off point based on Youden’s J statistic;
ROC: Receiver operating characteristic,
AUC: Area under ROC curve,
SE: Standard error, CI: Confidence interval