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OpenTrials
Completed

NCT Number: NCT03001076

Evaluation of the Efficacy and Safety of Bempedoic Acid (ETC-1002) as Add-on to Ezetimibe Therapy in Patients With Elevated LDL-C (CLEAR Tranquility)

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.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Phase 3

Primary location

Georgetown, Texas, 78626, United States

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Fasting LDL-cholesterol greater than or equal to 100 mg/dL at screening
  • Men and nonpregnant, nonlactating women
  • Use of stable lipid-modifying therapy for at least 4 weeks prior to screening that includes ezetimibe 10mg daily

Exclusion criteria

  • Fasting blood triglycerides greater than or equal to 500 mg/dL
  • Body Mass Index (BMI) greater than or equal to 50 kg/m2
  • Recent history of clinically significant cardiovascular disease
  • Use of statin therapy where doses are greater than those defined as "low-dose" within 4 weeks prior to screening; where "low-dose" is defined as an average daily dose of rosuvastatin 5 mg, atorvastatin 10 mg, simvastatin 10 mg, lovastatin 20 mg, pravastatin 40 mg, fluvastatin 40 mg, or pitavastatin 2 mg.

Treatment and study plan

Bempedoic acid

Drug

bempedoic acid 180 mg tablet

Other names: ETC-1002

ezetimibe

Drug

ezetimibe 10 mg tablet

Other names: Zetia

Placebo

Other

matching placebo tablet

Other names: placebo control

Primary outcomes

  1. Percent Change From Baseline to Week 12 in Low-Density Lipoprotein Cholesterol (LDL-C)

    Time frame: Week 12

    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.

Secondary outcomes

  1. Percent Change From Baseline to Week 12 in Non-high-density Lipoprotein Cholesterol (Non-HDL-C)

    Time frame: Week 12

    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.

  2. Percent Change From Baseline to Week 12 in Total Cholesterol (TC)

    Time frame: Week 12

    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.

  3. Percent Change From Baseline to Week 12 in Apolipoprotein B (apoB)

    Time frame: Week 12

    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.

  4. Percent Change From Baseline to Week 12 in High-sensitivity C-reactive Protein (hsCRP)

    Time frame: Week 12

    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.

  5. Percent Change From Baseline to Week 12 in Triglycerides (TGs)

    Time frame: Week 12

    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.

  6. Percent Change From Baseline to Week 12 in High-density Lipoprotein Cholesterol (HDL-C)

    Time frame: Week 12

    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.

  7. Number of Participants With Treatment-emergent Adverse Events (TEAEs)

    Time frame: Up to approximately 16 weeks

    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.

Other outcomes

  1. Percent Change From Baseline to Weeks 4 and 8 in LDL-C

    Time frame: Week 4 and Week 8

    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 4 or 8 minus Baseline value) divided by (Baseline Value)] multiplied by 100. Percent change from Baseline in LDL-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.

  2. Percent Change From Baseline to Weeks 4 and 8 in Non-HDL-C

    Time frame: Week 4 and Week 8

    Blood samples were drawn after a minimum 10-hour fast (water was allowed) at pre-specified intervals. Samples were collected and analyzed 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 4 or 8 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.

  3. Percent Change From Baseline to Weeks 4 and 8 in TC

    Time frame: Week 4 and Week 8

    Blood samples were drawn after a minimum 10-hour fast (water was allowed) at pre-specified intervals. Samples were collected and analyzed 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 4 or 8 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.

  4. Percent Change From Baseline to Weeks 4 and 8 in TGs

    Time frame: Week 4 and Week 8

    Blood samples were drawn after a minimum 10-hour fast (water was allowed) at pre-specified intervals. Samples were collected and analysed for TGs. Baseline was defined as the mean of the TGs values from the last two non-missing values on or prior to Day 1. Percent change from baseline was calculated as: [(TGs value at Week 4 or 8 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.

  5. Percent Change From Baseline to Weeks 4 and 8 in HDL-C

    Time frame: Week 4 and Week 8

    Blood samples were drawn after a minimum 10-hour fast (water was allowed) at pre-specified intervals. Samples were collected and analysed 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 4 or 8 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.

  6. Absolute Change From Baseline to Weeks 4, 8, and 12 in LDL-C

    Time frame: Week 4, Week 8 and Week 12

    Blood samples were drawn after a minimum 10-hour fast (water was allowed) at pre-specified intervals. Samples were collected and analysed 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. Absolute change from baseline was calculated as: LDL-C value at Week 4, 8, or 12 minus Baseline value.

Sponsors and collaborators

Lead sponsor

Esperion Therapeutics, Inc.

Industry

Registry information

Official study title

A Randomized, Double-Blind, Placebo-Controlled, Parallel Group, Multicenter Study to Evaluate the Efficacy and Safety of Bempedoic Acid (ETC 1002) 180 mg/Day as Add-on to Ezetimibe Therapy in Patients With Elevated LDL-C

Important dates

Study start
2016
Primary completion
2018
Study completion
2018
First posted
Dec 22, 2016
Registry last updated
May 11, 2020

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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