Table 4.
Final adjusted hierarchical multivariable logistic models: A model with gender as independent variable. B: model with FRS and VA as independent variable. C: model with FRS and CA as independent variable
| Variable | B | OR | 95%CI | p |
|---|---|---|---|---|
| A: Model with male gender as independent variable | ||||
| Triglycerides | 0.006 | 1.006 | 1.002–1.010 | 0.003 |
| Retinopathy (yes) | 2.038 | 7.674 | 1.591–37.005 | 0.011 |
| Gender, male | 1.978 | 7.228 | 1.382–37.798 | 0.019 |
| B: Model with Framingham risk score with VA as independent variable | ||||
| Triglycerides | 0.005 | 1.005 | 1.001–1.010 | 0.008 |
| Retinopathy, yes | 1.993 | 7.340 | 1.494–36.062 | 0.014 |
| FRS with VA on worst side | 1.978 | 7.228 | 1.382–37.798 | 0.019 |
| C: Model with Framingham risk score with CA as independent variable | ||||
| Triglycerides | 0.006 | 1.006 | 1.002–1.010 | 0.002 |
| Retinopathy, yes | 1.568 | 4.796 | 1.161–19.812 | 0.030 |
A: Variable(s) entered in Step 1: total cholesterol, triglycerides, uric acid, retinopathy, albuminuria, and sex
B: Variable(s) entered in step 1: total cholesterol, triglycerides, uric acid, retinopathy, albuminuria, and FRS with VA on the worst side
C: Variable(s) entered in Step 1: total cholesterol, triglycerides, uric acid, retinopathy, albuminuria, and FRS with CA