alirocumab SAR236553 (REGN727)
DrugPharmaceutical form:solution Route of administration: subcutaneous injection
Other names: Praluent
NCT Number: NCT03510884
Primary Objective:
To evaluate the efficacy of alirocumab administered every 2 weeks (Q2W) and every 4 weeks (Q4W) versus placebo after 24 weeks of double-blind (DB) treatment on low-density lipoprotein cholesterol (LDL-C) levels in participants with heterozygous familial hypercholesterolemia (heFH) 8 to 17 years of age on optimal stable daily dose of statin therapy ± other lipid modifying therapies (LMTs) or a stable dose of non-statin LMTs in case of intolerance to statins.
Secondary Objectives:
* To evaluate the efficacy of alirocumab versus placebo on LDL-C levels. * To evaluate the effects of alirocumab versus placebo on other lipid parameters. * To evaluate the safety and tolerability of alirocumab in comparison with placebo. * To evaluate the efficacy, safety, and tolerability of alirocumab after open label treatment. * To evaluate the development of anti-alirocumab antibodies.
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Notify Me8 year–17 year
All sexes
Interventional
Phase 3
Investigational Site Number :0320001, Buenos Aires, Argentina
The study duration was approximately up to 110 weeks (run-in period [if needed]: up to 4 weeks [+2 days], screening period: up to 2 weeks [+5 days], double-blind treatment period: 24 weeks, open label (OL) treatment period: 80 weeks).
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The above information was not intended to contain all considerations relevant to a participant's potential participation in a clinical trial.
Pharmaceutical form:solution Route of administration: subcutaneous injection
Other names: Praluent
Pharmaceutical form:tablet Route of administration: oral
Pharmaceutical form:Tablet Route of administration: Oral
Pharmaceutical form:Tablet Route of administration: Oral
Pharmaceutical form:Tablet Route of administration: Oral
Pharmaceutical form:Tablet Route of administration: Oral
Pharmaceutical form:Capsule Route of administration: Oral
Pharmaceutical form:Tablet Route of administration: Oral
Pharmaceutical form:oral suspension Route of administration: oral
Pharmaceutical form:Tablet Route of administration: Oral
Pharmaceutical form:Tablet Route of administration: Oral
Pharmaceutical form:capsule Route of administration: oral
Pharmaceutical form:solution Route of administration: subcutaneous injection
Time frame: Baseline, Week 24
Adjusted least square (LS) means and standard errors (SE) were obtained from mixed-effect model with repeated measures (MMRM) model. All post-baseline data available up to Week 24 were used and missing data were accounted for by the MMRM model. MMRM model was run on participants with a Baseline value and a post-baseline value for at least one timepoint used in the model.
Time frame: Baseline, Week 12
Adjusted LS means and SE were obtained from MMRM model including all available post-baseline data. All post-baseline data available up to Week 12 were used and missing data were accounted for by the MMRM model. MMRM model was run on participants with a Baseline value and a post-baseline value for at least one timepoint used in the model.
Time frame: Baseline, Week 24
Adjusted LS means and SE were obtained from MMRM model including all available post-baseline data. All post-baseline data available up to Week 24 were used and missing data were accounted for by the MMRM model. MMRM model was run on participants with a Baseline value and a post-baseline value for at least one timepoint used in the model.
Time frame: Baseline, Week 24
Adjusted LS means and SE were obtained from MMRM model including all available post-baseline data. All post-baseline data available up to Week 24 were used and missing data were accounted for by the MMRM model. MMRM model was run on participants with a Baseline value and a post-baseline value for at least one timepoint used in the model.
Time frame: Baseline, Week 24
Adjusted LS means and SE were obtained from MMRM model including all available post-baseline data. All post-baseline data available up to Week 24 were used and missing data were accounted for by the MMRM model. MMRM model was run on participants with a Baseline value and a post-baseline value for at least one timepoint used in the model.
Time frame: Baseline, Week 12
Adjusted LS means and SE were obtained from MMRM model including all available post-baseline data. All post-baseline data available up to Week 12 were used and missing data were accounted for by the MMRM model. MMRM model was run on participants with a Baseline value and a post-baseline value for at least one timepoint used in the model.
Time frame: Baseline, Week 12
Adjusted LS means and SE were obtained from MMRM model including all available post-baseline data. All post-baseline data available up to Week 12 were used and missing data were accounted for by the MMRM model. MMRM model was run on participants with a Baseline value and a post-baseline value for at least one timepoint used in the model.
Time frame: Baseline, Week 12
Adjusted LS means and SE were obtained from MMRM model including all available post-baseline data. All post-baseline data available up to Week 12 were used and missing data were accounted for by the MMRM model. MMRM model was run on participants with a Baseline value and a post-baseline value for at least one timepoint used in the model.
Time frame: At Week 24
Adjusted percentages at Week 24 were obtained from multiple imputation approach for handling of missing data. All available post-baseline data up to Week 24 were included in the imputation model.
Time frame: At Week 12
Adjusted percentages at Week 12 were obtained from multiple imputation approach for handling of missing data. All available post-baseline data up to Week 12 were included in the imputation model.
Time frame: At Week 24
Adjusted percentages at Week 24 were obtained from multiple imputation approach for handling of missing data. All available post-baseline data up to Week 24 were included in the imputation model.
Time frame: At Week 12
Adjusted percentages at Week 12 were obtained from multiple imputation approach for handling of missing data for Q4W. All available post-baseline data up to Week 12 were included in the imputation model. For Q2W, adjusted percentages at Week 12 were obtained from last observation carried forward approach (LOCF) to handle missing on-treatment LDL-C values as well as missing post-treatment LDL-C values in participants who discontinued treatment due to the coronavirus disease-2019 pandemic. Other post-treatment missing values were considered as failure.
Time frame: Baseline, Week 24
Adjusted means and standard errors were obtained from a multiple imputation approach followed by a robust regression model including all available post-baseline data up to Week 24. Combined estimates and SE were obtained by combining adjusted means and SE from robust regression model analyses of the different imputed data sets.
Time frame: Baseline, Week 12
Adjusted means and standard errors were obtained from a multiple imputation approach followed by a robust regression model including all available post-baseline data up to Week 12. Combined estimates and SE were obtained by combining adjusted means and SE from robust regression model analyses of the different imputed data sets.
Time frame: Baseline, Week 24
Adjusted LS means and SE were obtained from MMRM model. All post-baseline data available up to Week 24 were used and missing data were accounted for by the MMRM model. MMRM model was run on participants with a Baseline value and a post-baseline value for at least one timepoint used in the model.
Time frame: Baseline, Week 24
Adjusted means and standard errors were obtained from a multiple imputation approach followed by a robust regression model including all available post-baseline data up to Week 24. Combined estimates and SE were obtained by combining adjusted means and SE from robust regression model analyses of the different imputed data sets.
Time frame: Baseline, Week 24
Adjusted LS means and SE were obtained from MMRM model. All post-baseline data available up to Week 24 were used and missing data were accounted for by the MMRM model. MMRM model was run on participants with a Baseline value and a post-baseline value for at least one timepoint used in the model.
Time frame: Baseline, Week 12
Adjusted LS means and SE were obtained from MMRM model. All post-baseline data available up to Week 12 were used and missing data were accounted for by the MMRM model. MMRM model was run on participants with a Baseline value and a post-baseline value for at least one timepoint used in the model.
Time frame: Baseline, Week 12
Adjusted means and standard errors were obtained from a multiple imputation approach followed by a robust regression model including all available post-baseline data up to Week 12. Combined estimates and SE were obtained by combining adjusted means and SE from robust regression model analyses of the different imputed data sets.
Time frame: Baseline, Week 12
Adjusted LS means and SE were obtained from MMRM model. All post-baseline data available up to Week 12 were used and missing data were accounted for by the MMRM model. MMRM model was run on participants with a Baseline value and a post-baseline value for at least one timepoint used in the model.
Time frame: Baseline, Weeks 12, and 24
Adjusted LS means and SE were obtained from MMRM model. All post-baseline on-treatment data available up to Week 12 and Week 24 were used for the MMRM model, i.e., for Q2W data: from 1st investigational medicinal product (IMP) injection up to last IMP injection + 21 days and for Q4W data: from 1st IMP injection up to last IMP injection + 35 days for who stopped IMP before switch to Q2W regimen, + 21 days otherwise. MMRM model was run on participants with a Baseline value and at one on-treatment post-baseline value for a timepoint used in the model.
Time frame: Baseline, Weeks 12 and 24
Adjusted LS means and SE were obtained from MMRM model. All post-baseline on-treatment data available up to Week 12 and Week 24 were used for the MMRM model, i.e., for Q2W data: from 1st IMP injection up to last IMP injection + 21 days and for Q4W data: from 1st IMP injection up to last IMP injection + 35 days for who stopped IMP before switch to Q2W regimen, + 21 days otherwise. MMRM model was run on participants with a Baseline value and at one on-treatment post-baseline value for a timepoint used in the model.
Time frame: Baseline, Weeks 12 and 24
Adjusted LS means and SE were obtained from MMRM model. All post-baseline on-treatment data available up to Week 12 and Week 24 were used for the MMRM model, i.e., for Q2W data: from 1st IMP injection up to last IMP injection + 21 days and for Q4W data: from 1st IMP injection up to last IMP injection + 35 days for who stopped IMP before switch to Q2W regimen, + 21 days otherwise. MMRM model was run on participants with a Baseline value and at one on-treatment post-baseline value for a timepoint used in the model.
Time frame: Baseline, Weeks 12 and 24
Adjusted LS means and SE were obtained from MMRM model. All post-baseline on-treatment data available up to Week 12 and Week 24 were used for the MMRM model, i.e., for Q2W data: from 1st IMP injection up to last IMP injection + 21 days and for Q4W data: from 1st IMP injection up to last IMP injection + 35 days for who stopped IMP before switch to Q2W regimen, + 21 days otherwise. MMRM model was run on participants with a Baseline value and at one on-treatment post-baseline value for a timepoint used in the model.
Time frame: Weeks 12 and 24
Adjusted percentages at Weeks 12 and 24 were obtained from multiple imputation approach for handling of missing data followed by logistic regression model. All available post-baseline on-treatment data up to Week 12 and Week 24 were included in the imputation model, i.e., for Q2W data: from 1st IMP injection up to last IMP injection + 21 days and for Q4W data: from 1st IMP injection up to last IMP injection + 35 days for those who stopped IMP before switch to Q2W regimen, + 21 days otherwise.
Time frame: Weeks 12 and 24
Adjusted percentages at Weeks 12 and 24 were obtained from multiple imputation approach for handling of missing data followed by logistic regression model. All available post-baseline on-treatment data up to Week 12 and Week 24 were included in the imputation model, i.e., for Q2W data: from 1st IMP injection up to last IMP injection + 21 days and for Q4W data: from 1st IMP injection up to last IMP injection + 35 days for those who stopped IMP before switch to Q2W regimen, + 21 days otherwise.
Time frame: Baseline, Weeks 12 and 24
Adjusted means and standard errors were obtained from a multiple imputation approach followed by a robust regression model including all available post-baseline on-treatment data up to Week 12 and Week 24, i.e., for Q2W data: from 1st IMP injection up to last IMP injection + 21 days and for Q4W data: from 1st IMP injection up to last IMP injection + 35 days for those who stopped IMP before switch to Q2W regimen, + 21 days otherwise. Combined estimates and SE were obtained by combining adjusted means and SE from robust regression model analyses of the different imputed data sets.
Time frame: Baseline, Weeks 12 and 24
Adjusted LS means and SE were obtained from MMRM model. All post-baseline on-treatment data available up to Week 12 and Week 24 were used for the MMRM mode, i.e., for Q2W data: from 1st IMP injection up to last IMP injection + 21 days and for Q4W data: from 1st IMP injection up to last IMP injection + 35 days for who stopped IMP before switch to Q2W regimen, + 21 days otherwise. MMRM model was run on participants with a Baseline value and at one on-treatment post-baseline value for a timepoint used in the model.
Time frame: Baseline, Weeks 12, and 24
Adjusted LS means and SE were obtained from MMRM model. All post-baseline on-treatment data available up to Week 12 and Week 24 were used for the MMRM model, i.e., for Q2W data: from 1st IMP injection up to last IMP injection + 21 days and for Q4W data: from 1st IMP injection up to last IMP injection + 35 days for who stopped IMP before switch to Q2W regimen, + 21 day otherwise. MMRM model was run on participants with a Baseline value and at one on-treatment post-baseline value for a timepoint used in the model.
Time frame: Baseline, Weeks 12, and 24
Adjusted means and standard errors were obtained from a multiple imputation approach followed by a robust regression model including all available post-baseline on-treatment data up to Week 12 and Week 24, i.e., for Q2W data: from 1st IMP injection up to last IMP injection + 21 days and for Q4W data: from 1st IMP injection up to last IMP injection + 35 days for those who stopped IMP before switch to Q2W regimen, + 21 days otherwise. Combined estimates and SE were obtained by combining adjusted means and SE from robust regression model analyses of the different imputed data sets.
Time frame: Baseline, Weeks 12, and 24
Adjusted LS means and SE were obtained from MMRM model. All post-baseline data available up to Week 12 and Week 24 were used and missing data were accounted for by the MMRM model. MMRM model was run on participants with a Baseline value and a post-baseline value for at least one timepoint used in the model.
Time frame: Baseline, Weeks 12, and 24
Adjusted LS means and SE were obtained from MMRM model. All post-baseline on-treatment data available up to Week 12 and Week 24 were used for the MMRM model, i.e., for Q2W data: from 1st IMP injection up to last IMP injection + 21 days and for Q4W data: from 1st IMP injection up to last IMP injection + 35 days for who stopped IMP before switch to Q2W regimen, + 21 days otherwise. MMRM model was run on participants with a Baseline value and at one on-treatment post-baseline value for a timepoint used in the model.
Time frame: At Weeks 12 and 24
Adjusted percentages at Weeks 12 and 24 were obtained from multiple imputation approach for handling of missing data followed by logistic regression model. All available post-baseline on-treatment data up to Week 12 and Week 24 were included in the imputation model.
Time frame: At Weeks 12 and 24
Adjusted percentages at Weeks 12 and 24 were obtained from multiple imputation approach for handling of missing data followed by logistic regression model. All available post-baseline on-treatment data up to Week 12 and Week 24 were included in the imputation model, i.e., for Q2W data: from 1st IMP injection up to last IMP injection + 21 days and for Q4W data: from 1st IMP injection up to last IMP injection + 35 days for those who stopped IMP before switch to Q2W regimen, + 21 days otherwise.
Time frame: At Weeks 12 and 24
Adjusted percentages at Weeks 12 and 24 were obtained from multiple imputation approach for handling of missing data followed by logistic regression model. All available post-baseline on-treatment data up to Week 12 and Week 24 were included in the imputation model.
Time frame: At Weeks 12 and 24
Adjusted percentages at Weeks 12 and 24 were obtained from multiple imputation approach for handling of missing data followed by logistic regression model. All available post-baseline on-treatment data up to Week 12 and Week 24 were included in the imputation model, i.e., for Q2W data: from 1st IMP injection up to last IMP injection + 21 days and for Q4W data: from 1st IMP injection up to last IMP injection + 35 days for those who stopped IMP before switch to Q2W regimen, + 21 days otherwise.
Time frame: Baseline to Weeks 8, 12 and 24
Adjusted LS means and SE were obtained from MMRM model. All post-baseline data available up to Week 8, Week 12 and Week 24 were used and missing data were accounted for by the MMRM model.
Time frame: Baseline to Weeks 8, 12 and 24
Adjusted LS means and SE were obtained from MMRM model. All post-baseline on-treatment data available up to Week 8, Week 12 and Week 24 were used for the MMRM model, i.e., for Q2W data: from 1st IMP injection up to last IMP injection + 21 days and for Q4W data: from 1st IMP injection up to last IMP injection + 35 days for who stopped IMP before switch to Q2W regimen, + 21 days otherwise.
Time frame: Baseline, Week 104
Percent Change in LDL-C from Baseline to Week 104 was reported in this outcome measure.
Time frame: Baseline, Week 104
Percent Change in LDL-C from Baseline to Week 104 was reported in this outcome measure.
Time frame: Baseline, Weeks 24, 68 and 104
Cogstate battery test (cognitive testing system) consisted of detection test (DET), identification test (IDN), one card learning test (OCL) and Groton maze learning test (GML) to assess processing speed, attention, visual learning and executive functioning, respectively. For each test, Z-scores were computed based on participant's age at Baseline and Weeks 24, 68 and 104. Composite score: calculated as mean of Z-scores equally weighted, provided that at least 3 of 4 tests were available and if all of these domains were covered as: attention, through either DET or IDN, visual learning, through OCL and executive function, through GML. There is not minimum/maximum since values were reported as z-score but z-score of 0 means result equals to mean with negative numbers indicating values lower than mean and positive values higher. Positive change in z-score = an improvement in cognition, i.e., a better outcome; and negative change in z-score = worsening in cognition, i.e., a worse outcome.
Time frame: Baseline, Weeks 24, 68 and 104
Tanner stage defines physical measurements of development in children and adolescent based on external primary and secondary sex characteristics. Participants were evaluated for pubic hair distribution, breast development (only females) and genital development (only males) and classified in 3 categories as: Prepubescent (defined as a person just before start of the development of adult sexual characteristics), Pubescent (defined as a person at or approaching the age of puberty), Postpubescent (sexually mature or a person who has completed puberty).
Time frame: Up to 24 weeks
Anti-drug (alirocumab) antibodies samples were analyzed using a validated non-quantitative, titer-based bridging immunoassay. Number of participants with positive ADA during 24-week treatment period is reported. Treatment-emergent positive ADA response was defined as 1) participants with no ADA positive response at baseline but with any positive response in the post-baseline period or 2) participants with a positive ADA response at baseline and at least a 4- fold increase in titer in the post-baseline period. A persistent positive response was defined as a TE ADA positive response detected in at least 2 consecutive post-baseline samples separated by at least a 12-week period. Persistent positive response was only analyzed for participants with positive TE ADA response.
Sanofi
Industry
A Randomized, Double-Blind, Placebo-Controlled Study Followed by an Open Label Treatment Period to Evaluate the Efficacy and Safety of Alirocumab in Children and Adolescents With Heterozygous Familial Hypercholesterolemia
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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