Al data. Continuous variables of time were also described with median, minimum and maximum value. The Kolmogorov-Smirnov test was used to test the normal distribution of continuous variables. The Chisquare test, Student's t-test and non-parametric equivalent tests were used when appropriate. Regression estimation techniques were applied to replace missing values whenever the number of missing valu
Ory power among predictor models. In assessing cardiovascular events, the Combined model was significantly better than GFR (difference between AUC: 0.150, 95 CI 0.004-0.260, p = 0.008) and showed a trend for a higher discriminatory power than Framingham (difference between AUC: 0.184, p = 0.052), age (difference between AUC: 0.135, p = 0.078 and the Clinical model (difference between AUC: 0.065, p
Age 8 ofTable 9 Receiver operating characteristic (ROC) curve evaluation for CVEV predictionPrediction of CVEV: ROC analysis Framingham Glomerular filtration rate Age Calcium score Clinical model Clinical-CS model CT model Combined model ROC comparisons - Combined model vs: Glomerular filtration rate Framingham Age Calcium score Clinical model Clinical-CS model CT model AUC 0.704 0.262 0.753 0.808