Safety and efficacy of alirocumab in a real-life setting: the ODYSSEY APPRISE study
Bibliographic record
Abstract
AIMS: To obtain safety and efficacy data of alirocumab, a proprotein convertase subtilisin/kexin type 9 inhibitor, in a real-life setting in high cardiovascular (CV) risk patients with heterozygous familial hypercholesterolaemia (HeFH) or very-high low-density lipoprotein cholesterol (LDL-C) levels despite maximally tolerated dose of statin ± other lipid-lowering therapies (MTD ± LLTs). ODYSSEY APPRISE was a prospective, single-arm, Phase 3b open-label (≥12 weeks to ≤ 30 months) European/Canadian study with alirocumab. METHODS AND RESULTS: Patients received alirocumab 75 or 150 mg every 2 weeks, with dose adjustment based on physician's judgment. In total, 994 patients were enrolled and treated. The mean [standard deviation (SD)] duration of alirocumab exposure was 72.4 (42.5) weeks. Patients with HeFH were younger [mean (SD) age of 53.8 (11.6) vs. 61.6 (10.1) years], more likely to be female (41.7% vs. 29.1%) and had higher baseline LDL-C compared with non-familial hypercholesterolaemia (non-FH) patients [mean (SD) of 5.1 (1.7) vs. 4.1 (1.1) mmol/L]. The overall incidence of treatment-emergent adverse events (TEAEs) was 71.6%; common TEAEs included nasopharyngitis (7.8%), myalgia (7.1%), and headache (6.2%). At Week 12, mean (SD) LDL-C was reduced by 54.8 (20.1)% from baseline [2.6 (1.2) mmol/L], maintained for the trial duration. LDL-C was reduced below 1.8 mmol/L and/or by ≥50% reduction from baseline in 69.1% of patients overall, and for 64.7 and 77.4% of the HeFH and non-FH subgroups, respectively. CONCLUSION: In a real-life setting in patients with hypercholesterolaemia and high CV risk, alirocumab was generally well tolerated and resulted in clinically significant LDL-C reductions.
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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 | 0.003 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".