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Table 1 Summary of Baseline Risk Models. Regression coefficients for continuous variables represent the hazard for a one unit change in each independent variable with the following units: creatinine (mg/dl), bmi (kg/m^2), age (years), DBP (mm Hg)

From: Can risk modelling improve treatment decisions in asymptomatic carotid stenosis?

 Baseline Model — Ipsilateral Stroke/TIASecondary Outcome - ipsilateral strokeSecondary Outcome — All Stroke/TIASecondary Outcome - All Stroke
Hazard Ratiop-valueHazard Ratiop-valueHazard Ratiop-valueHazard Ratiop-value
Risk Factor
 Contralateral Stenosis 60-80% (ref 0-60%)1.430.131.570.181.370.071.490.09
 Contralateral Stenosis 80-100% (ref 0-60%)0.650.120.840.420.810.260.770.34
 Creatinine1.460.01  1.310.05  
 BMI1.050.021.050.05    
 Abnormal Heart Rhythm  0.40.12    
 Any prior vascular disease (CVD, PVD)  0.590.11.280.08  
 Diabetes    1.30.1  
 Age    1.010.271.020.19
 Smoking    1.60.0021.920.001
 Mean Diastolic BP    1.010.051.020.04
Model Parameters
 N1551 1575 1622 1648 
 Number Outcomes115 56 215 113 
 c-statistic0.59 [0.54-0.65] 0.63 [0.57-0.71] 0.60 [0.56-0.64] 0.62 [0.56-0.67] 
 Model LR test<0.01 0.03 <0.01 <0.01 
 Shrinkage Coefficient0.85       
 External validation c-statistic (ARIC)0.58 [0.49-0.67] 0.57 [0.47-0.68] 0.49 [0.40-0.59] 0.58 [0.48-0.68]