Efficacy, safety, and tolerability of evolocumab in pediatric patients with heterozygous familial hypercholesterolemia: Rationale and design of the HAUSER-RCT study
Bibliographic record
Abstract
BACKGROUND: Evolocumab, a fully human monoclonal antibody to proprotein convertase subtilisin/kexin type 9, is safe and effective in reducing low-density lipoprotein cholesterol in adults with familial hypercholesterolemia. A dedicated study, HAUSER-RCT, is being conducted to examine the efficacy and safety of evolocumab in pediatric patients with heterozygous familial hypercholesterolemia (HeFH). OBJECTIVE: To present the rationale and design of the HAUSER-RCT study. METHODS: The HAUSER-RCT study is a double-blind, randomized, multicenter, placebo-controlled study designed to characterize the efficacy, safety, and tolerability of evolocumab treatment as an add-on to diet and lipid-lowering therapy, including a stable, optimized dose of statin, in pediatric patients aged 10 to 17 years with HeFH. Approximately, 150 patients will be randomized in a 2:1 ratio to receive 24 weeks of monthly evolocumab or placebo. The study will include approximately 51 sites located in North America, South America, Europe, South Africa, Australia, and New Zealand. The primary efficacy endpoint is the percent change in low-density lipoprotein cholesterol from baseline to week 24. A key secondary efficacy endpoint is the percent change in other lipid parameters from baseline to week 24. Other assessments include Tanner staging, carotid intima-media thickness, and cognitive tests. At the end of the study, consenting patients can participate in an 18-month open-label extension study (HAUSER-OLE). RESULTS: The study is ongoing and the results will be communicated at the end of the study. CONCLUSIONS: The HAUSER-RCT study, the largest randomized, placebo-controlled study with proprotein convertase subtilisin/kexin type 9 inhibitors being conducted in the pediatric HeFH population, aims to provide efficacy, safety, and tolerability data of evolocumab as an add-on therapy in these patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".