Low-density lipoprotein cholesterol <50 mg/dL is an appropriate target after acute coronary syndrome: propensity score-matched analysis of the ODYSSEY OUTCOMES trial
Bibliographic record
Abstract
Abstract Background New ESC/EAS guidelines advise a low-density lipoprotein cholesterol (LDL-C) target level <55 mg/dL for patients with acute coronary syndromes (ACS), and a level <40 mg/dL for those with recurrent events. Previous analyses of clinical trials have sought to define an optimal LDL-C target range to prevent major adverse cardiovascular events (MACE). However, those analyses are limited because patients who achieve lower versus higher LDL-C levels on lipid-lowering therapy differ in other characteristics that are prognostic for MACE, including baseline LDL-C, lipoprotein(a), and medication adherence. Aim To overcome these limitations, we performed a propensity score-matching (PSM) analysis of the ODYSSEY OUTCOMES trial, which compared the PCSK9 inhibitor alirocumab with placebo in 18,924 patients with recent ACS. Methods Patients on alirocumab were classified in 1 of 3 pre-specified categories according to Month 4 LDL-C <25 (n=3357), 25–50 (n=3692) or >50 mg/dL (n=2197). Within each category, MACE after Month 4 was compared with patients on placebo using 1:1 PSM on demographic, clinical, and adherence variables. Because the trial design involved blinded substitution of placebo for alirocumab when consecutive LDL-C levels were <15 mg/dL on alirocumab, we also evaluated MACE in those patients (n=730) in comparison with patients chosen from the placebo group by 1:3 PSM. Results Patients in the three achieved LDL-C categories of the alirocumab group differed by baseline age, sex, geographic region; history of diabetes, smoking, peripheral artery disease, cerebrovascular disease, coronary revascularization, heart failure, obstructive pulmonary disease, or malignancy; type of index ACS event; baseline LDL-C, lipoprotein(a), estimated glomerular filtration rate, body mass index, systolic blood pressure; use of intensive statin therapy; and adherence with study medication. After PSM, patients in each LDL-C category on alirocumab were well matched to patients on placebo for these characteristics. Treatment hazard ratios (HRs) for MACE (Figure) were similar in those with achieved LDL-C <25 mg/dL or 25–50 mg/dL. Patients with achieved LDL-C >50 mg/dL achieved less benefit. Patients who achieved consecutive LDL-C levels <15 mg/dL and were switched to placebo nonetheless had a robust HR (0.71, 95% CI 0.52–0.98) and thus did not dilute efficacy of alirocumab among those in the <25 mg/dL achieved LDL-C category. Conclusion After accounting for differences in baseline characteristics and adherence, reduction in risk of MACE with alirocumab was similar in patients who achieved LDL-C <25 or 25–50 mg/dL. These data suggest that an LDL-C target of less than 50 mg/dL may be reasonable after ACS and is essentially congruent with new ESC/EAS guidelines. Funding Acknowledgement Type of funding source: Private company. Main funding source(s): Sanofi and Regeneron Pharmaceuticals, Inc
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".