Table 5. Factors associated with disease activity in MAC.
Predictors of log-transformed 18F-fluoride TBRmax in multiple linear regression model.
| Model 1 (n=98) | Model 2 (n=68) | |||||
|---|---|---|---|---|---|---|
| beta | 95% CI | p | beta | 95% CI | p | |
| Age (per 10 years) | -0.002 | -0.070, 0.066 | 0.953 | 0.065 | -0.019, 0.148 | 0.127 |
| Sex | -0.172 | -0.289, -0.054 | 0.005* | -0.082 | -0.229, 0.066 | 0.273 |
| AVC (per 100 AU) | 0.003 | -0.000, 0.005 | 0.052 | 0.002 | -0.002, 0.005 | 0.318 |
| eGFR (per 10 ml/min) | -0.032 | -0.061, -0.003 | 0.030* | -0.001 | -0.039, 0.038 | 0.988 |
| MAC (per 100 AU) | 0.014 | 0.011, 0.018 | <0.001* | 0.010 | 0.005, 0.015 | <0.001* |
| 18F-FDG TBRmax (per 0.1) | -- | -- | -- | 0.049 | 0.021, 0.077 | 0.001* |
Model 1 includes age, sex, hypertension, diabetes, smoking, LDL, prior CVD, and to variables with p>0.2 in bivariate comparisons, followed by backwards stepwise elimination process.
Model 2 includes 18F-FDG TBRmax in addition to variables in model 1.