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 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 | 0.004 | 0.001 |
| 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".