Open-label therapy with alirocumab in patients with heterozygous familial hypercholesterolemia: Results from three years of treatment
Bibliographic record
Abstract
BACKGROUND: PCSK9 inhibition with alirocumab significantly reduced LDL-C levels in trials of up to 78weeks' duration in patients with heterozygous familial hypercholesterolemia (HeFH). We report results from 3years of an ongoing open-label treatment extension (NCT01576484) to a 12-week double-blind trial in HeFH patients (NCT01266876). METHODS: Patients who completed the parent study and were receiving stable daily statin±ezetimibe could enter the open-label extension, where they received alirocumab 150mg every 2 weeks (Q2W) subcutaneously (n=58). The primary endpoint was safety (treatment-emergent adverse events, TEAEs). Efficacy endpoints included the percentage change in LDL-C from baseline at Week 24. Safety and efficacy data were available up to Weeks 156 and 148, respectively. RESULTS: Mean baseline LDL-C was 150.7mg/dL (3.9mmol/L), despite all patients being on a statin (76% on high-intensity statin; 72% also receiving ezetimibe). Over 156weeks, 54 (93.1%) patients experienced a TEAE, 12 (20.7%) experienced a serious TEAE, and two (3.4%) discontinued due to a TEAE. Injection site reactions occurred in 21 (36.2%) patients. Mean (SD) reduction in LDL-C from baseline to Week 24 was 65.4 (21.1)%, with reductions maintained through 148weeks (Week 148 reduction: 56.0 [23.8]%). Mean apolipoprotein B reduction was 50.9% and median lipoprotein (a) reduction was 22.5% at Week 24 (46.1% and 25.6% at Week 148, respectively). CONCLUSIONS: Open-label treatment for 3years with alirocumab 150mg Q2W, administered with background statin±ezetimibe, was generally well-tolerated and had a safety profile comparable with that seen in the overall alirocumab clinical trial program. Alirocumab provided significant, sustained 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 | 0.000 | 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".