Effects of routine early treatment with PCSK9 inhibitors in patients undergoing primary percutaneous coronary intervention for ST-segment elevation myocardial infarction: a randomised, double-blind, sham-controlled trial 
Bibliographic record
Abstract
BACKGROUND: In patients with ST-segment elevation myocardial infarction (STEMI), early initiation of high-intensity statin therapy, regardless of low-density lipoprotein (LDL) cholesterol levels, is the standard of practice worldwide. Aims: We sought to determine the effect of a similar early initiation strategy, using a proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor added to the high-intensity statin, on LDL cholesterol in acute STEMI. METHODS: In a randomised, double-blind trial we assigned 68 patients with STEMI undergoing primary percutaneous coronary intervention (PCI) to early treatment with alirocumab 150 mg subcutaneously or to a matching sham control. The first injection was given before primary PCI regardless of the baseline LDL level, then at 2 and 4 weeks. The primary outcome was the percent reduction in direct LDL cholesterol up to 6 weeks, analysed using a linear mixed model. Results: High-intensity statin use was 97% and 100% in the alirocumab and sham-control groups, respectively. At a median of 45 days, the primary outcome of LDL cholesterol decreased by 72.9% with alirocumab (2.97 mmol/L to 0.75 mmol/L) versus 48.1% with the sham control (2.87 mmol/L to 1.30 mmol/L), for a mean between-group difference of -22.3% (p<0.001). More patients achieved the European Society of Cardiology/European Atherosclerosis Society dyslipidaemia guideline target of LDL ≤1.4 mmol/L in the alirocumab group (92.1% vs 56.7%; p<0.001). Within the first 24 hours, LDL declined slightly more rapidly in the alirocumab group than in the sham-control group (-0.01 mmol/L/hour; p=0.03) with similar between-group mean values. Conclusions: In this randomised trial of routine early initiation of PCSK9 inhibitors in patients undergoing primary PCI for STEMI, alirocumab reduced LDL cholesterol by 22% compared with sham control on a background of high-intensity statin therapy. A large trial is needed to determine if this simplified approach followed by long-term therapy improves cardiovascular outcomes in patients with acute STEMI. (ClinicalTrials.gov: NCT03718286).
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".