Effect of inclisiran on lipids in primary prevention: the ORION-11 trial
Bibliographic record
Abstract
AIMS: Patients often require combination therapies to achieve LDL cholesterol (LDL-C) targets for the primary prevention of atherosclerotic cardiovascular disease. This study investigates the effect of inclisiran, a small interfering ribonucleic acid targeting hepatic proprotein convertase subtilisin/kexin type 9 production, in primary prevention patients with elevated LDL-C despite statins. METHODS AND RESULTS: This pre-specified analysis of the placebo-controlled, randomized ORION-11 trial included 203 individuals at risk of, but without prior, cardiovascular events and LDL-C ≥2.6 mmol/L, despite maximally tolerated statins. Inclisiran 284 mg or placebo was administered on Days 1, 90, and thereafter every 6 months up to 540 days. Co-primary endpoints were percentage LDL-C change from baseline to Day 510 and time-adjusted change from baseline after Day 90 and up to Day 540. Key secondary endpoints included percentage and absolute changes in atherogenic lipoproteins. Safety was assessed over 540 days. The mean baseline (SD) LDL-C was 3.6 (1.5) mmol/L. At Day 510, the placebo-corrected LDL-C change with inclisiran was -43.7% [95% confidence interval (CI): -52.8 to -34.6] with a corresponding time-adjusted change of -41.0% (95% CI: -47.8 to -34.2); (P < 0.0001). The placebo-corrected absolute change in LDL-C at Day 510 with inclisiran was -1.5 mmol/L (95% CI: -1.8 to -1.2), with a respective time-adjusted change of -1.3 mmol/L (95% CI: -1.6 to -1.1). Inclisiran significantly lowered non-HDL cholesterol and apolipoprotein B (apoB) at Day 510 vs. placebo (P < 0.0001 for both), with a greater likelihood of attaining lipoprotein and apoB goals, and was well-tolerated except for mainly mild, treatment-emergent adverse events at the injection site. CONCLUSION: Inclisiran was generally well-tolerated in primary prevention patients with elevated LDL-C, who derived significant reductions in atherogenic lipoprotein levels with twice-yearly maintenance dosing.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".