Table 4.
Results of multivariable logistic regression, with statin use as the dependent variable
| Variable | Odds ratio | 95 % CI | P-value |
|---|---|---|---|
| Model 1 | |||
| Age (per year) | 1.00 | 0.96, 1.05 | 0.86 |
| Female | 1.09 | 0.52, 2.32 | 0.81 |
| History of hypertensiona | 0.81 | 0.36, 1.80 | 0.60 |
| BMI (per kg/m2) | 1.03 | 0.94, 1.13 | 0.56 |
| HbA1c (per %) | 1.19 | 0.85, 1.66 | 0.31 |
| Total cholesterol (per mmol/L) | 0.39 | 0.25, 0.59 | <0.001* |
| Microvascular complication | 1.55 | 9.64, 3.73 | 0.33 |
| Absence of CVD history | 0.38 | 0.15, 0.95 | 0.04* |
| ASA | 1.80 | 0.89, 3.63 | 0.10 |
| RASi | 1.75 | 0.78, 3.93 | 0.17 |
| Model 2 | |||
| Absence of CVD history | 0.28 | 0.12, 0.63 | 0.002* |
| Total cholesterol (per mmol/L) | 0.39 | 0.26, 0.56 | <0.001* |
237 (77 %) out of 309 possible observations had sufficient data to be included in this analysis
Model 1: All significant variables from univariable analysis included, with the exception of LDL and HDL, due to multicollinearity with total cholesterol. All microvascular complications were represented by presence of microvascular complication and ARB/ACEi were represented by RASi in the multivariable model. Age and HbA1c were forced into the model
Model 2: As a sensitivity analysis, stepwise selection process was used to decide on final model, with choice of variables the same as Model 1
aSensitivity analysis using SBP instead of history of hypertension resulted in an adjusted odds ratio for absence of CVD history of 0.36 (95 % CI 0.11, 1.13, p = 0.07)
* Statistically significant p < 0.05