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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".