Inter-individual variability in LDL-C reductions with inclisiran – data from ORION-10 and ORION-11
Bibliographic record
Abstract
Abstract Introduction Inclisiran, an investigational siRNA, has been shown to effectively and durably lower LDL-C in Phase 3 trials. Inter-individual variability in LDL-C reductions has been documented for statin therapy and ezetimibe. Purpose To evaluate the inter-individual variability in LDL-C lowering with inclisiran. Methods The Phase 3 ORION-10 and ORION-11 trials randomized patients with established ASCVD (or risk-equivalents) who had LDL-C >70 mg/dl despite maximally tolerated statins to inclisiran or placebo (1:1). Inclisiran sodium 300 mg was administered s.c. at baseline, three months later, then every six months. Co-primary endpoints were the LDL-C reduction from baseline to Day 510 and the time adjusted average % change in LDL-C reduction after Day 90 and up to Day 540. Measures of response variability were pre-specified secondary endpoints. This analysis examines the inter-individual variability of LDL-C reductions at day 510 using pooled data from both trials. Results The analysis included 3178 individuals (92% on statins). At Day 90, 97% of inclisiran-treated patients had an LDL-C reduction. At Day 510, the median percent reduction in LDL-C levels from baseline was 57.3% in the inclisiran group (interquartile range, 44%-70%). An LDL-C reduction ≥50% was reached by 1359 (86.6%) inclisiran-treated patients versus 97 (6.2%) placebo patients at any visit (odds ratio [OR] 97.6, 95% confidence interval [CI] 76–126). An LDL-C reduction ≥30% was reached by 1523 (97.0%) inclisiran-treated patients versus 371 (23.7%) placebo patients (OR 104.5, 95% CI 76–143). At Day 510, 921 patients (65.1%) in the inclisiran group had a reduction ≥50% in LDL-C compared to 34 patients (2.4%) in the placebo group, and 1228 (86.8%) had a reduction ≥30% compared to 148 (10.5%), respectively. Among placebo-treated patients, there was a substantial proportion with notable increases in LDL-C at Day 510 (figure). Conclusion In Phase 3 trials, inclisiran on top of maximally tolerated statins provided reliable, consistent and durable reductions in LDL-C. A large percentage of subjects randomized to inclisiran achieved substantial reductions (>50%) in LDL-C and nearly all achieved at least a 30% reduction suggesting inclisiran is potentially a promising novel therapy for patients needing sustained LDL-C reductions. Waterfall plot of pooled trials Funding Acknowledgement Type of funding source: Private company. Main funding source(s): The Medicines Company
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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 | 0.015 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".