The purpose of this study is to determine if bempedoic acid (ETC-1002) added-on to ezetimibe therapy is effective and safe versus placebo in patients with elevated LDL cholesterol.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
TRIPLE
Enrollment
269
bempedoic acid 180 mg tablet
ezetimibe 10 mg tablet
matching placebo tablet
Unnamed facility
Georgetown, Texas, United States
Percent Change From Baseline to Week 12 in Low-Density Lipoprotein Cholesterol (LDL-C)
Blood samples were drawn after a minimum 10-hour fast (water was allowed) at pre-specified intervals. Samples were collected and analyzed for LDL-C. Baseline was defined as the mean of the LDL-C values from the last two non-missing values on or prior to Day 1. Percent change from baseline was calculated as: (\[LDL-C value at Week 12 minus Baseline value\] divided by \[Baseline Value\]) multiplied by 100. Bempedoic Acid = BA. Percent change from Baseline in LDL-C was analyzed using an analysis of covariance (ANCOVA) model with percent change from Baseline as the dependent variable, treatment as a fixed effects and Baseline as a covariate. In the ANCOVA model, missing LDL-C data at Week 12 were imputed using multiple imputation method taking into account adherence to treatment.
Time frame: Week 12
Percent Change From Baseline to Week 12 in Non-high-density Lipoprotein Cholesterol (Non-HDL-C)
Blood samples were drawn after a minimum 10-hour fast (water was allowed) at pre-specified intervals. Samples were collected and analysed for non-HDL-C. Baseline was defined as the mean of the non-HDL-C values from the last two non-missing values on or prior to Day 1. Percent change from baseline was calculated as: (\[non-HDL-C value at Week 12 minus Baseline value\] divided by \[Baseline Value\]) multiplied by 100. Percent change from Baseline in non-HDL-C was analyzed using an ANCOVA model with percent change from Baseline as the dependent variable, treatment as a fixed effects and Baseline as a covariate. In the ANCOVA model, missing non-HDL-C data at Week 12 were imputed using multiple imputation method taking into account adherence to treatment.
Time frame: Week 12
Percent Change From Baseline to Week 12 in Total Cholesterol (TC)
Blood samples were drawn after a minimum 10-hour fast (water was allowed) at pre-specified intervals. Samples were collected and analysed for TC. Baseline was defined as the mean of the TC values from the last two non-missing values on or prior to Day 1. Percent change from baseline was calculated as: (\[TC value at Week 12 minus Baseline value\] divided by \[Baseline Value\]) multiplied by 100. Percent change from Baseline in TC was analyzed using an ANCOVA model with percent change from Baseline as the dependent variable, treatment as a fixed effects and Baseline as a covariate. In the ANCOVA model, missing TC data at Week 12 were imputed using multiple imputation method taking into account adherence to treatment.
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Time frame: Week 12
Percent Change From Baseline to Week 12 in Apolipoprotein B (apoB)
Blood samples were drawn after a minimum 10-hour fast (water was allowed) at pre-specified intervals. Samples were collected and analysed for apoB. Baseline was defined as the last non-missing value on or prior to Day 1. Percent change from baseline was calculated as: \[(apoB value at Week 12 minus Baseline value) divided by (Baseline Value)\] multiplied by 100. Percent change from Baseline in apoB was analyzed using an ANCOVA model with percent change from Baseline as the dependent variable, treatment as a fixed effects and Baseline as a covariate. In the ANCOVA model, missing apoB data at Week 12 were imputed using multiple imputation method taking into account adherence to treatment.
Time frame: Week 12
Percent Change From Baseline to Week 12 in High-sensitivity C-reactive Protein (hsCRP)
Blood samples were drawn after a minimum 10-hour fast (water was allowed) at pre-specified intervals. Samples were collected and analysed for hsCRP. Baseline was defined as the last non-missing value on or prior to Day 1. Percent change from baseline was calculated as: \[(hsCRP value at Week 12 minus Baseline value) divided by (Baseline Value)\] multiplied by 100.
Time frame: Week 12
Percent Change From Baseline to Week 12 in Triglycerides (TGs)
Blood samples were drawn after a minimum 10-hour fast (water was allowed) at pre-specified intervals. Samples were collected and analyzed for TGs. Baseline was defined as the mean of the TGs values from the last two non-missing values on or prior to D 1. Percent change from baseline was calculated as: \[(TGs value at Week 12 minus Baseline value) divided by (Baseline Value)\] multiplied by 100. Percent change from Baseline in TGs was analyzed using an ANCOVA model with percent change from Baseline as the dependent variable, treatment as a fixed effects and Baseline as a covariate.
Time frame: Week 12
Percent Change From Baseline to Week 12 in High-density Lipoprotein Cholesterol (HDL-C)
Blood samples were drawn after a minimum 10-hour fast (water was allowed) at pre-specified intervals. Samples were collected and analyzed for HDL-C. Baseline was defined as the mean of the HDL-C values from the last two non-missing values on or prior to Day 1. Percent change from baseline was calculated as: \[(HDL-C value at Week 12 minus Baseline value) divided by (Baseline Value)\] multiplied by 100. Percent change from Baseline in HDL-C was analyzed using an ANCOVA model with percent change from Baseline as the dependent variable, treatment as a fixed effects and Baseline as a covariate.
Time frame: Week 12
Number of Participants With Treatment-emergent Adverse Events (TEAEs)
TEAEs, defined as an adverse events (AEs) that began or worsened in severity after the first dose of double-blind study drug and prior to the last dose of double-blind study drug + 30 days, were collected and reported.
Time frame: Up to approximately 16 weeks