 Statistical analysis All parameters will be checked for normality with the Kolmogorov-Smirnov test and non-normal-distributed variables will be log-transformed. Linear regression analysis will be used for the assessment of the relationships between study variables, whereas multivariate analysis will be used for the determination of the independent predictors of study parameter change. The paired-samples t-test will be used for assessing the effect of treatment in each group. Analysis of covariance ANOVA, adjusted for baseline values, will be used for comparisons between treatment groups. Significance will be defined as p0.05 and Bonferroni correction will be applied in the case of multiple comparisons. All analyses will be carried out with SPSS 13.0 SPSS Inc., 1989-2004, Chicago, IL. It was estimated that a sample size of 90 would give a 94 power to detect a 15 difference in the reduction of sdLDL-C concentration between the 2 groups at a 2-sided alpha of 0.05. We will include 100 patients allowing for a drop-out rate of 10. 