4114Efficacy of alirocumab treatment after acute coronary syndrome according to new ACC/AHA guidelines for lipid-lowering therapy
Bibliographic record
Abstract
Abstract Background The 2018 ACC/AHA cholesterol management guidelines recommend additional lipid-lowering therapies for secondary prevention in patients with LDL-C ≥1.8 mmol/L despite maximally tolerated statin therapy who are considered “very high-risk” on the basis of history of multiple ischaemic events or an ischaemic event and multiple high-risk conditions. Purpose We examined the frequency of major adverse cardiovascular events (MACE) and efficacy of PCSK9 inhibition with alirocumab to reduce MACE in patients with recent acute coronary syndrome (ACS) categorized as very high-risk or not very high-risk by guideline criteria. Methods Patients in ODYSSEY OUTCOMES (n=18,924) with recent ACS and residual dyslipidaemia despite optimal statin therapy were randomized to alirocumab or placebo and followed for median 2.8 years. The primary MACE outcome was a composite of coronary heart disease death, non-fatal myocardial infarction (MI), ischaemic stroke, or hospitalization for unstable angina. Results Of 18,924 randomized patients, 11,935 (63.1%) were categorized as very high-risk and 6989 (36.9%) as not very high risk (per ACC/AHA guidelines criteria). In the very high-risk category, 4450 (37.3%) had a prior ischaemic event plus the trial-qualifying index ACS (MI, 3633; stroke, 524; peripheral artery disease, 759); 7485 (62.7%) had no ischaemic event before the index ACS but had ≥2 high-risk conditions (diabetes, 3319; age ≥65 years, 3087; current smoking, 2371; chronic kidney disease, 1583). In the placebo group, the incidence of MACE was higher among those in the very high-risk category (14.4%) vs those not at very high-risk (5.6%). Overall, alirocumab reduced the risk of MACE vs placebo (9.5% vs 11.1%, hazard ratio [HR] 0.85, 95% confidence interval [CI] 0.78–0.93; P=0.003), with consistent relative reductions in both risk categories (very high risk HR 0.84, 95% CI 0.76–0.92; not very high risk HR 0.86, 95% CI 0.70–1.06). However, the absolute reduction in MACE with alirocumab was greater among patients classified as very high-risk (2.1%) vs not very high risk (0.8%), and greater in particular among those classified as very high risk based on multiple ischaemic events (2.4%, Figure). Conclusions Application of 2018 ACC/AHA cholesterol guidelines criteria accurately identifies patients with ACS and dyslipidaemia who are at very high risk for recurrent MACE, and who derive a large absolute benefit from alirocumab treatment. Patients categorized as very high-risk based upon multiple ischaemic events derive a particularly large absolute benefit from treatment with alirocumab. Acknowledgement/Funding Supported by Sanofi and Regeneron Pharmaceuticals
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".