- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01644188
Efficacy and Safety of Alirocumab (SAR236553/REGN727) Versus Ezetimibe on Top of Statin in High Cardiovascular Risk Patients With Hypercholesterolemia (ODYSSEY COMBO II)
A Randomized, Double-Blind, Parallel Group Study to Evaluate the Efficacy and Safety of SAR236553/REGN727 Versus Ezetimibe in High Cardiovascular Risk Patients With Hypercholesterolemia Not Adequately Controlled With Their Statin Therapy
Alirocumab (SAR236553/REGN727) is a fully human monoclonal antibody that binds PCSK9 (proprotein convertase subtilisin/kexin type 9).
Primary Objective of the study:
To demonstrate the reduction of low-density lipoprotein cholesterol (LDL-C) by alirocumab as add-on therapy to stable maximally tolerated daily statin therapy in comparison with ezetimibe after 24 weeks of treatment in participants with hypercholesterolemia at high cardiovascular (CV) risk.
Secondary Objectives:
- To evaluate the effect of alirocumab in comparison with ezetimibe on LDL-C at other time points
- To evaluate the effect of alirocumab on other lipid parameters
- To evaluate the safety and tolerability of alirocumab
Study Overview
Status
Conditions
Detailed Description
Study Type
Enrollment (Actual)
Phase
- Phase 3
Contacts and Locations
Study Locations
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Brampton, Canada, L6T 3J1
- Investigational Site Number 124902
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Mirabel, Canada, J7J 2K8
- Investigational Site Number 124914
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Montreal, Canada, H1T 3Y7
- Investigational Site Number 124903
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Toronto, Canada, M9V 4B4
- Investigational Site Number 124918
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Esbjerg, Denmark, 6700
- Investigational Site Number 208913
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Glostrup, Denmark, 2600
- Investigational Site Number 208914
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Hellerup, Denmark, 2900
- Investigational Site Number 208905
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Herlev, Denmark, 2730
- Investigational Site Number 208911
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Hvidovre, Denmark, 2650
- Investigational Site Number 208907
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København S, Denmark, 2300
- Investigational Site Number 208901
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Køge, Denmark, 4600
- Investigational Site Number 208906
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Roskilde, Denmark, 4000
- Investigational Site Number 208908
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Silkeborg, Denmark, 8600
- Investigational Site Number 208903
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Dijon, France, 21079
- Investigational Site Number 250906
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Montpellier Cedex 5, France, 34295
- Investigational Site Number 250907
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Nantes, France, 44093
- Investigational Site Number 250903
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Nimes, France, 30900
- Investigational Site Number 250905
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Budapest, Hungary, 1036
- Investigational Site Number 348908
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Budapest, Hungary, 1134
- Investigational Site Number 348901
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Budapest, Hungary, 1134
- Investigational Site Number 348903
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Debrecen, Hungary, 4032
- Investigational Site Number 348905
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Szekesfehervar, Hungary, 8000
- Investigational Site Number 348906
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Holon, Israel, 58100
- Investigational Site Number 376908
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Kfar Saba, Israel, 44281
- Investigational Site Number 376903
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Ofakim, Israel, 80300
- Investigational Site Number 376906
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Petach Tikva, Israel
- Investigational Site Number 376902
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Rehovot, Israel, 76100
- Investigational Site Number 376904
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Safed, Israel, 13100
- Investigational Site Number 376907
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Tel Aviv, Israel, 64239
- Investigational Site Number 376901
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Anyang-Si, Korea, Republic of, 431-070
- Investigational Site Number 410908
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Busan, Korea, Republic of, 602-715
- Investigational Site Number 410920
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Daegu, Korea, Republic of, 700-712
- Investigational Site Number 410926
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Gwangju, Korea, Republic of, 501-757
- Investigational Site Number 410923
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Seoul, Korea, Republic of, 110-744
- Investigational Site Number 410909
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Seoul, Korea, Republic of, 120-752
- Investigational Site Number 410922
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Seoul, Korea, Republic of, 135-710
- Investigational Site Number 410921
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Seoul, Korea, Republic of, 135-720
- Investigational Site Number 410905
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Seoul, Korea, Republic of, 137-701
- Investigational Site Number 410901
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Seoul, Korea, Republic of, 138-736
- Investigational Site Number 410914
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Seoul, Korea, Republic of, 156-707
- Investigational Site Number 410924
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Suwon, Korea, Republic of, 443-721
- Investigational Site Number 410915
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Uijeongbu, Korea, Republic of, 480-717
- Investigational Site Number 410913
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Wonju, Korea, Republic of, 220-701
- Investigational Site Number 410927
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Barnaul, Russian Federation, 656055
- Investigational Site Number 643906
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Kemerovo, Russian Federation, 650002
- Investigational Site Number 643903
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Moscow, Russian Federation, 111539
- Investigational Site Number 643927
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Moscow, Russian Federation, 111539
- Investigational Site Number 643928
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Moscow, Russian Federation, 115404
- Investigational Site Number 643931
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Moscow, Russian Federation, 119048
- Investigational Site Number 643924
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Moscow, Russian Federation, 121374
- Investigational Site Number 643932
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Moscow, Russian Federation, 121552
- Investigational Site Number 643908
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Moscow, Russian Federation, 129090
- Investigational Site Number 643904
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Orenburg, Russian Federation, 450000
- Investigational Site Number 643911
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Ryazan, Russian Federation, 390026
- Investigational Site Number 643921
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Saint-Petersburg, Russian Federation, 197110
- Investigational Site Number 643925
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Saint-Petersburg, Russian Federation, 198205
- Investigational Site Number 643922
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Saratov, Russian Federation, 410028
- Investigational Site Number 643929
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St-Petersburg, Russian Federation, 199106
- Investigational Site Number 643914
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Alberton, South Africa, 1450
- Investigational Site Number 710917
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Bloemfontein, South Africa, 9301
- Investigational Site Number 710909
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Bloemfontein, South Africa, 9301
- Investigational Site Number 710914
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Cape Town, South Africa, 7500
- Investigational Site Number 710905
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Cape Town, South Africa, 7925
- Investigational Site Number 710904
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Middelburg, South Africa, 1055
- Investigational Site Number 710918
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Pretoria, South Africa, 0002
- Investigational Site Number 710913
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Somerset West, South Africa, 7130
- Investigational Site Number 710915
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Kiev, Ukraine, 02091
- Investigational Site Number 804905
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Uzhhorod, Ukraine, 88009
- Investigational Site Number 804902
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Alabama
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Birmingham, Alabama, United States, 35209
- Investigational Site Number 840980
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Arizona
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Phoenix, Arizona, United States, 85032
- Investigational Site Number 840918
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Tucson, Arizona, United States
- Investigational Site Number 840925
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California
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Anaheim, California, United States, 92801
- Investigational Site Number 840959
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Beverly Hills, California, United States, 90211
- Investigational Site Number 840301
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Chino, California, United States, 91710
- Investigational Site Number 840933
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Lincoln, California, United States, 95648
- Investigational Site Number 840991
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Los Angeles, California, United States, 90057
- Investigational Site Number 840979
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Palm Springs, California, United States, 92262
- Investigational Site Number 840952
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Thousand Oaks, California, United States, 91360
- Investigational Site Number 840930
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Vista, California, United States, 92083
- Investigational Site Number 840921
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Florida
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Boynton Beach, Florida, United States, 33472
- Investigational Site Number 840962
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Bradenton, Florida, United States, 34203
- Investigational Site Number 840987
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Clearwater, Florida, United States, 33756
- Investigational Site Number 840302
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Jacksonville, Florida, United States, 32223
- Investigational Site Number 840935
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Miami, Florida, United States, 33126
- Investigational Site Number 840903
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Miami, Florida, United States
- Investigational Site Number 840920
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Ocala, Florida, United States, 34471
- Investigational Site Number 840943
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Oveido, Florida, United States, 32765
- Investigational Site Number 840981
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Port Orange, Florida, United States, 32127
- Investigational Site Number 840961
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Sarasota, Florida, United States, 34239
- Investigational Site Number 840303
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St. Petersburg, Florida, United States
- Investigational Site Number 840986
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St. Petersburg, Florida, United States
- Investigational Site Number 840988
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Idaho
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Meridian, Idaho, United States, 83646
- Investigational Site Number 840995
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Indiana
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Evansville, Indiana, United States, 47714
- Investigational Site Number 840902
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Kansas
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Topeka, Kansas, United States, 66606
- Investigational Site Number 840960
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Maryland
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Oxon Hill, Maryland, United States, 20745
- Investigational Site Number 840940
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Massachusetts
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Fall River, Massachusetts, United States, 02720
- Investigational Site Number 840966
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Missouri
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Kansas City, Missouri, United States, 64114
- Investigational Site Number 840917
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St. Louis, Missouri, United States, 63131
- Investigational Site Number 840998
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Montana
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Butte, Montana, United States, 59701
- Investigational Site Number 840946
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Nebraska
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Lincoln, Nebraska, United States, 68510
- Investigational Site Number 840914
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New Mexico
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Albuquerque, New Mexico, United States, 87106
- Investigational Site Number 840949
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New York
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New Windsor, New York, United States, 12553
- Investigational Site Number 840974
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North Carolina
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Greenville, North Carolina, United States, 27834
- Investigational Site Number 840955
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Lexington, North Carolina, United States, 27292
- Investigational Site Number 840938
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Smithfield, North Carolina, United States, 27577
- Investigational Site Number 840976
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Winston-Salem, North Carolina, United States, 27103
- Investigational Site Number 840985
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Ohio
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Cincinnati, Ohio, United States, 45219
- Investigational Site Number 840963
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Lyndhust, Ohio, United States, 44124
- Investigational Site Number 840970
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Marion, Ohio, United States, 43302
- Investigational Site Number 840906
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Marion, Ohio, United States, 43302
- Investigational Site Number 840997
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Perrysburg, Ohio, United States, 43551
- Investigational Site Number 840964
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South Carolina
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Charleston, South Carolina, United States, 29412
- Investigational Site Number 840913
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Greer, South Carolina, United States, 29651
- Investigational Site Number 840912
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Summerville, South Carolina, United States, 29485
- Investigational Site Number 840992
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Tennessee
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Bristol, Tennessee, United States, 37620
- Investigational Site Number 840932
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Nashville, Tennessee, United States, 37205
- Investigational Site Number 840944
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Texas
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Fort Worth, Texas, United States, 76104
- Investigational Site Number 840994
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Houston, Texas, United States, 77070
- Investigational Site Number 840973
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Houston, Texas, United States, 77074
- Investigational Site Number 840939
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Sugar Land, Texas, United States, 77479
- Investigational Site Number 840945
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Tomball, Texas, United States, 77375
- Investigational Site Number 840971
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Utah
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Orem, Utah, United States, 84058
- Investigational Site Number 840982
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Virginia
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Norfolk, Virginia, United States, 23502
- Investigational Site Number 840931
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Richmond, Virginia, United States, 23227
- Investigational Site Number 840984
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Washington
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Renton, Washington, United States, 98055
- Investigational Site Number 840928
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Spokane, Washington, United States, 99204
- Investigational Site Number 840990
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion criteria:
Participants with hypercholesterolemia and established coronary heart disease (CHD) or CHD risk equivalents who were not adequately controlled with a maximally tolerated daily dose of statin at stable dose for at least 4 weeks prior to the screening visit (Week -2).
Exclusion criteria:
- Age < 18 or legal age of adulthood, whichever was greater
- Participants without established CHD or CHD risk equivalents
- LDL-C <70 mg/dL (<1.81 mmol/L) and participants with a history of documented cardiovascular disease
- LDL-C <100 mg/dL (<2.59 mmol/L) and participants without a history of documented CV disease
- Fasting serum triglycerides >400 mg/dL (>4.52 mmol/L)
The above information was not intended to contain all considerations relevant to a participant's potential participation in a clinical trial.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Quadruple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
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Experimental: Alirocumab 75 /up to 150 mg Q2W
Alirocumab 75 mg every 2 weeks (Q2W) and oral placebo capsule for ezetimibe daily added to stable Lipid Modifying Therapy (LMT) for 104 weeks.
Alirocumab dose up-titrated to 150 mg from Week 12 when LDL-C level ≥70 mg/dL (1.81 mmol/L) at Week 8.
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1 mL subcutaneous injection in the abdomen, thigh, or outer area of the upper arm by self-injection or by another designated person using the autoinjector.
Other Names:
One capsule once daily orally at approximately the same time of the day with or without food.
Statin (rosuvastatin, simvastatin or atorvastatin) at stable dose.
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Active Comparator: Ezetimibe 10 mg
Ezetimibe 10 mg capsule daily and subcutaneous placebo for alirocumab Q2W added to stable LMT for 104 weeks.
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One over-encapsulated tablet orally once daily at approximately the same time of the day with or without food.
Statin (rosuvastatin, simvastatin or atorvastatin) at stable dose.
1 mL subcutaneous injection in the abdomen, thigh, or outer area of the upper arm by self-injection or by another designated person using the autoinjector.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Percent Change From Baseline in Calculated LDL-C at Week 24 - Intent-to-treat (ITT) Analysis
Time Frame: From Baseline to Week 52
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Adjusted Least-squares (LS) means and standard errors at Week 24 were obtained from a mixed-effect model with repeated measures (MMRM) to account for missing data.
All available post-baseline data from week 4 to week 52 regardless of status on- or off-treatment were used in the model (ITT analysis).
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From Baseline to Week 52
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Percent Change From Baseline in Non-High Density Lipoprotein Cholesterol (Non-HDL-C) at Week 24 - ITT Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 24 from MMRM model including all available post-baseline data from Week 4 to Week 52 regardless of status on- or off-treatment.
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From Baseline to Week 52
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Percent Change From Baseline in Total Cholesterol (Total-C) at Week 24 - ITT Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 24 from MMRM model including all available post-baseline data from Week 4 to Week 52 regardless of status on- or off-treatment.
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From Baseline to Week 52
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Percent Change From Baseline in Non-HDL-C at Week 12 - ITT Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 12 from MMRM model including all available post-baseline data from Week 4 to Week 52 regardless of status on- or off-treatment.
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From Baseline to Week 52
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Percent Change From Baseline in Total-C at Week 12 - ITT Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 12 from MMRM model including all available post-baseline data from Week 4 to Week 52 regardless of status on- or off-treatment.
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From Baseline to Week 52
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Percent Change From Baseline in HDL-C at Week 24 - ITT Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 24 from MMRM model including all available post-baseline data from Week 4 to Week 52 regardless of status on- or off-treatment.
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From Baseline to Week 52
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Percent Change From Baseline in HDL-C at Week 12 - ITT Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 12 from MMRM model including all available post-baseline data from Week 4 to Week 52 regardless of status on- or off-treatment.
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From Baseline to Week 52
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Percent Change From Baseline in Lipoprotein(a) at Week 24 - ITT Analysis
Time Frame: From baseline to Week 52
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Adjusted means and standard errors at Week 24 were obtained from multiple imputation approach followed by robust regression model for handling of missing data.
All available post-baseline data from Week 4 to Week 52 regardless of status on- or off-treatment were included in the imputation model.
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From baseline to Week 52
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Percent Change From Baseline in Apo A-1 at Week 12 - ITT Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 12 from MMRM model including all available post-baseline data from Week 4 to Week 52 regardless of status on- or off-treatment.
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From Baseline to Week 52
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Percent Change From Baseline in Fasting Triglycerides at Week 24 - ITT Analysis
Time Frame: From Baseline to Week 52
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Adjusted means and standard errors at Week 24 from multiple imputation approach followed by robust regression model including all available post-baseline data from Week 4 to Week 52 regardless of status on- or off-treatment.
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From Baseline to Week 52
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Percent Change From Baseline in Apolipoprotein A-1 (Apo A-1) at Week 24 - ITT Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 24 from MMRM model including all available post-baseline data from Week 4 to Week 52 regardless of status on- or off-treatment.
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From Baseline to Week 52
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Percent Change From Baseline in Fasting Triglycerides at Week 12 - ITT Analysis
Time Frame: From Baseline to Week 52
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Adjusted means and standard errors at Week 12 from multiple imputation approach followed by robust regression model including all available post-baseline data from Week 4 to Week 52 regardless of status on- or off-treatment.
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From Baseline to Week 52
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Percent Change From Baseline in Calculated LDL--C at Week 24 - On--Treatment Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 24 were obtained from MMRM model including available post-baseline on-treatment data from Week 4 to Week 52 (i.e. up to 21 days after last injection or 3 days after the last capsule, whichever came first).
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From Baseline to Week 52
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Percent Change From Baseline in Calculated LDL-C at Week 12 - ITT Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 12 from a MMRM including all available post-baseline data from week 4 to week 52 regardless of status on- or off-treatment.
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From Baseline to Week 52
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Percent Change From Baseline in Calculated LDL-C at Week 12 - On-Treatment Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 12 from MMRM model including available post-baseline on-treatment data from Week 4 to Week 52 (i.e. up to 21 days after last injection or 3 days after the last capsule, whichever came first).
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From Baseline to Week 52
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Percent Change From Baseline in Apolipoprotein B (Apo-B) at Week 24 - ITT Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 24 from MMRM model including all available post-baseline data from Week 4 to Week 52 regardless of status on- or off-treatment.
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From Baseline to Week 52
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Percent Change From Baseline in Apo B at Week 24 - On-Treatment Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 24 from MMRM model including available post-baseline on-treatment data from Week 4 to Week 52 (i.e. up to 21 days after last injection or 3 days after the last capsule, whichever came first).
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From Baseline to Week 52
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Percent Change From Baseline in Non-HDL-C at Week 24 - On-Treatment Analysis
Time Frame: From Baseline up to Week 52
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Adjusted LS means and standard errors at Week 24 from MMRM model including available post-baseline on-treatment data from Week 4 to Week 52 (i.e. up to 21 days after last injection or 3 days after the last capsule, whichever came first).
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From Baseline up to Week 52
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Percent Change From Baseline in Apo-B at Week 12 - ITT Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 12 from MMRM model including all available post-baseline data from Week 4 to Week 52 regardless of status on- or off-treatment.
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From Baseline to Week 52
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Percent Change From Baseline in Calculated LDL-C at Week 52 - ITT Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 52 from a MMRM model including all available post-baseline data from week 4 to week 52 regardless of status on- or off-treatment.
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From Baseline to Week 52
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Percentage of Participants Achieving Calculated LDL-C <70 mg/dL (1.81 mmol/L) at Week 24 - ITT Analysis
Time Frame: Up to Week 52
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Adjusted percentages at Week 24 were obtained from multiple imputation approach for handling of missing data.
All available post-baseline data from week 4 to week 52 regardless of status on- or off-treatment were included in the imputation model.
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Up to Week 52
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Percentage of Participants Achieving Calculated LDL-C <70 mg/dL (1.81 mmol/L) at Week 24 - On-Treatment Analysis
Time Frame: Up to Week 52
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Adjusted percentages at Week 24 from multiple imputation approach including available post-baseline on-treatment data from week 4 to week 52 (i.e. up to 21 days after last injection or 3 days after the last capsule, whichever came first).
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Up to Week 52
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Percent Change From Baseline in Lipoprotein(a) at Week 12 - ITT Analysis
Time Frame: From Baseline to Week 52
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Adjusted means and standard errors at Week 12 from multiple imputation approach followed by robust regression model including all available post-baseline data from Week 4 to Week 52 regardless of status on- or off-treatment.
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From Baseline to Week 52
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Percent Change From Baseline in Calculated LDL-C at Week 52 - On-Treatment Analysis
Time Frame: From Baseline to Week 52
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Adjusted LS means and standard errors at Week 52 from MMRM model including available post-baseline on-treatment data from Week 4 to Week 52 (i.e. up to 21 days after last injection or 3 days after the last capsule, whichever came first).
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From Baseline to Week 52
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Percent Change From Baseline in Calculated LDL-C at Week 104 - ITT Analysis
Time Frame: From Baseline to Week 104
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Adjusted LS means and standard errors at Week 104 from MMRM including all available post-baseline data from Week 4 to Week 104 regardless of status on-or off-treatment.
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From Baseline to Week 104
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Percent Change From Baseline in Calculated LDL-C at Week 104 - On-Treatment Analysis
Time Frame: From Baseline to Week 104
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Adjusted LS means and standard errors at Week 104 from MMRM model including available post-baseline on-treatment data from Week 4 to Week 104 (i.e. up to 21 days after last injection or 3 days after the last capsule, whichever came first).
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From Baseline to Week 104
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Collaborators and Investigators
Sponsor
Collaborators
Publications and helpful links
General Publications
- Mahmood T, Minnier J, Ito MK, Li QH, Koren A, Kam IW, Fazio S, Shapiro MD. Discordant responses of plasma low-density lipoprotein cholesterol and lipoprotein(a) to alirocumab: A pooled analysis from 10 ODYSSEY Phase 3 studies. Eur J Prev Cardiol. 2021 Jul 23;28(8):816-822. doi: 10.1177/2047487320915803. Epub 2020 Apr 10.
- Leiter LA, Tinahones FJ, Karalis DG, Bujas-Bobanovic M, Letierce A, Mandel J, Samuel R, Jones PH. Alirocumab safety in people with and without diabetes mellitus: pooled data from 14 ODYSSEY trials. Diabet Med. 2018 Dec;35(12):1742-1751. doi: 10.1111/dme.13817. Epub 2018 Oct 9.
- Ray KK, Ginsberg HN, Davidson MH, Pordy R, Bessac L, Minini P, Eckel RH, Cannon CP. Reductions in Atherogenic Lipids and Major Cardiovascular Events: A Pooled Analysis of 10 ODYSSEY Trials Comparing Alirocumab With Control. Circulation. 2016 Dec 13;134(24):1931-1943. doi: 10.1161/CIRCULATIONAHA.116.024604. Epub 2016 Oct 24.
- Colhoun HM, Robinson JG, Farnier M, Cariou B, Blom D, Kereiakes DJ, Lorenzato C, Pordy R, Chaudhari U. Efficacy and safety of alirocumab, a fully human PCSK9 monoclonal antibody, in high cardiovascular risk patients with poorly controlled hypercholesterolemia on maximally tolerated doses of statins: rationale and design of the ODYSSEY COMBO I and II trials. BMC Cardiovasc Disord. 2014 Sep 20;14:121. doi: 10.1186/1471-2261-14-121.
- Cannon CP, Cariou B, Blom D, McKenney JM, Lorenzato C, Pordy R, Chaudhari U, Colhoun HM; ODYSSEY COMBO II Investigators. Efficacy and safety of alirocumab in high cardiovascular risk patients with inadequately controlled hypercholesterolaemia on maximally tolerated doses of statins: the ODYSSEY COMBO II randomized controlled trial. Eur Heart J. 2015 May 14;36(19):1186-94. doi: 10.1093/eurheartj/ehv028. Epub 2015 Feb 16.
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Metabolic Diseases
- Lipid Metabolism Disorders
- Hyperlipidemias
- Dyslipidemias
- Hypercholesterolemia
- Physiological Effects of Drugs
- Molecular Mechanisms of Pharmacological Action
- Antimetabolites
- Immunologic Factors
- Anticholesteremic Agents
- Hypolipidemic Agents
- Lipid Regulating Agents
- Antibodies, Monoclonal
- Ezetimibe
Other Study ID Numbers
- EFC11569
- U1111-1121-4315 (Other Identifier: UTN)
- 2011-004130-34 (EudraCT Number)
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Hypercholesterolemia
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National Medical Research Center for Therapy and...Moscow State University of Medicine and DentistryActive, not recruitingMedication Adherence | Adherence, Medication | Treatment Adherence | Familial Hypercholesterolemia | Motivational Interviewing | Adherence, Patient | Treatment Adherence and Compliance | Patient Compliance | Adherence | Hypercholesterolemia, Familial | Patient Adherence | Hypercholesterolemia, Autosomal Dominant and other conditionsRussian Federation
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Institut Investigacio Sanitaria Pere VirgiliRecruitingFamilial Hypercholesterolemia | Familial Hypercholesterolemia - Homozygous | Familial Hypercholesterolemia - HeterozygousSpain
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Direct PlantesUnknownHYPERCHOLESTEROLEMIAFrance
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Novartis PharmaceuticalsNot yet recruitingDyslipidemia, Hypercholesterolemia
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Shanghai General Hospital, Shanghai Jiao Tong University...Accuredit Therapeutics US LimitedNot yet recruitingHeterozygous Familial HypercholesterolemiaChina
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Hangzhou Dinovate Biotech Co., LtdNot yet recruitingPrimary Hypercholesterolemia
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Addpharma Inc.Not yet recruitingPrimary Hypercholesterolemia
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Chong Kun Dang PharmaceuticalRecruitingPrimary HypercholesterolemiaKorea, Republic of
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Shenzhen Salubris Pharmaceuticals Co., Ltd.Salubris (Chengdu) Biotechnology Co., Ltd.CompletedHypercholesterolemia and Mixed DyslipidemiaChina
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Provident Clinical ResearchGlaxoSmithKlineCompletedPrimary HypercholesterolemiaUnited States
Clinical Trials on Ezetimibe
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AstraZenecaNot yet recruiting
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Sin Gon KimHanmi Pharmaceutical Company Limited; Yuhan Corporation; Severance HospitalRecruitingDyslipidemia Associated With Type II Diabetes MellitusSouth Korea
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JW PharmaceuticalActive, not recruitingHypercholesterolemiaSouth Korea
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Organon and CoCompletedCoronary Disease | Hypercholesterolemia
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Organon and CoCompletedCoronary Disease | Hypercholesterolemia
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Organon and CoCompletedCoronary Disease | Hypercholesterolemia
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Organon and CoCompletedCoronary Disease | Hypercholesterolemia
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Daiichi SankyoActive, not recruitingMixed Dyslipidemia | Primary HypercholesterolaemiaBrazil
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Cao YuRecruiting
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The Affiliated Hospital of Qingdao UniversityCompleted