Long-term safety and efficacy of alirocumab in patients with heterozygous familial hypercholesterolemia: An open-label extension of the ODYSSEY program
Bibliographic record
Abstract
BACKGROUND AND AIMS: ODYSSEY OLE (open-label extension; NCT01954394) included patients diagnosed with heterozygous familial hypercholesterolemia (HeFH), receiving maximally tolerated statins, who had completed one of four Phase 3 double-blind parent studies (all 18 months' duration), with the aim to assess longer-term safety and efficacy of alirocumab. METHODS: Patients received starting dose alirocumab 75 mg every 2 weeks (Q2W; patients from FH I, FH II, and LONG TERM) or alirocumab 150 mg Q2W (patients from HIGH FH). Low-density lipoprotein cholesterol (LDL-C) levels were blinded to the patient and physician until Week 8; from Week 8, LDL-C levels were communicated to physicians. From Week 12, dose adjustment from 75 to 150 mg Q2W, or vice versa, was possible per physician's clinical judgment according to patient's LDL-C levels. RESULTS: Patients who had received alirocumab (n = 655) compared with placebo (n = 330) in the parent studies exhibited similar rates of treatment-emergent adverse events (TEAEs; 87.3% vs. 83.9%) during OLE (2.5 years median alirocumab exposure). Overall, 33 patients (3.4%) experienced TEAEs leading to permanent treatment discontinuation. At Week 8, alirocumab reduced mean LDL-C by 44.2% (reduction from 151.9 mg/dL at parent study baseline to 84.9 mg/dL); reduction in LDL-C was consistent to Week 96 of OLE. Reductions in lipid parameters were similar regardless of treatment allocation in the parent study. CONCLUSIONS: In patients with HeFH, no unexpected long-term safety concerns were observed with alirocumab compared with previously published data; durability of LDL-C-lowering over 3 years (including 1.5 years of parent trials) was demonstrated.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".