Effect of 1 or 2 Doses of Inclisiran on Low-Density Lipoprotein Cholesterol Levels
Bibliographic record
Abstract
Importance: Sustained reductions in low-density lipoprotein cholesterol (LDL-C) with lipid-lowering therapies that require frequent dosing are reliant on patient adherence, and poor adherence is associated with worse clinical outcomes. Objective: To determine whether inclisiran, a small interfering RNA, reduces mean LDL-C exposure with an infrequent dosing regimen. Design, Setting, and Participants: Prespecified analysis of a randomized, double-blind, placebo-controlled multicenter phase 2 clinical trial. Participants were followed up monthly for LDL-C levels and proprotein convertase subtilisin-kexin type 9 (PCSK9) measurements as well as safety until their LDL-C levels had returned to within 20% of their change from baseline (maximum 360 days). The study included patients with elevated LDL-C despite maximally tolerated statin therapy. Data were analyzed between January 11, 2016, and June 7, 2017. Interventions: One dose (200, 300, or 500 mg on day 1) or 2 doses (100, 200, or 300 mg on days 1 and 90) of inclisiran sodium or placebo. Main Outcomes and Measures: Duration of time to return to within 20% of change from baseline for LDL-C levels and time-averaged LDL-C reductions over 1 year. Results: At baseline, among the 501 participants, 65% were men (n = 326 of 501), mean age was 63 years, 6% had familial hypercholesterolemia (n = 28 of 501), and 69% had established ASCVD (n = 347 of 501). Baseline LDL-C was 128 mg/dL among 501 randomized participants. The percentage of participants who were followed up to day 360 because their LDL-C levels had not returned to within 20% of their change from baseline ranged from 48.3% to 65.0% for those receiving a single dose and between 55.9% and 83.1% of those receiving 2 doses, with similar effects observed for PCSK9. Time-averaged reduction in LDL-C levels over 1 year after a single dose ranged from 29.5% to 38.7% (P < .001 between groups) and from 29.9% to 46.4% (P < .001 between groups) for those who received 2 doses. The 2-dose 300-mg regimen produced the highest proportion of responders at day 360 and the greatest mean reduction in LDL-C over 1 year. Incidence of adverse events was similar through to 1 year. Conclusions and Relevance: Treatment with inclisiran resulted in durable reductions in LDL-C over 1 year. Inclisiran may offer a novel approach to LDL-C reduction with the convenience of infrequent dosing. Trial Registration: ClinicalTrials.gov identifier: NCT02597127.
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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 | 0.002 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".