Abstract 13567: Comparison of Change in Lipoprotein(a) Mass and Molar Concentrations by Alirocumab and Risk of Subsequent Cardiovascular Events in ODYSSEY OUTCOMES
Bibliographic record
Abstract
Background: Baseline (BL) lipoprotein(a) (Lp(a)) concentration is similarly related to cardiovascular (CV) risk when measured in either mass or molar units by immunoassay (IA). Because of Lp(a) isoform variation in mass, differences may exist between Lp(a) measurement methods in terms of relating change to risk reduction. We determined whether the reduction in major adverse cardiovascular events (MACE) by PCSK9 inhibitor alirocumab (ALI) had a similar relationship to the reduction in Lp(a) concentration as measured by 3 different methods. Methods: Lp(a) was measured by IA-mass (Siemens), IA-molar (Roche), and mass spectrometry (MS)-molar assays at BL and month 4 (M4) in a subgroup of patients in the ODYSSEY OUTCOMES trial which compared PCSK9 inhibitor ALI with placebo in patients with recent acute coronary syndrome. Changes in Lp(a) from BL to M4 were related to subsequent risk of MACE (coronary heart disease (CHD) death, nonfatal myocardial infarction (NFMI), fatal + nonfatal ischemic stroke, or unstable angina hospitalization) in the ALI group. Proportional hazards models were adjusted for BL Lp(a), BL LDL-C and its change from BL to M4, and other patient characteristics. Hazard ratios (HR) were calculated for the median change of each Lp(a) assay. All analyses were by intention-to-treat. Results: Among 5500 patients randomized to ALI with available data from all 3 Lp(a) assays, 443 experienced a subsequent MACE. Changes in Lp(a) IA-mass and MS-molar concentration were significantly related to reduced MACE risk, while change in IA-molar concentration was marginally significant; associations were more evident with CHD death + NFMI ( Figure ). MACE HRs for median change were similar across tests. Conclusion: With caveats of a modest number of MACE for analysis, moderately elevated Lp(a) levels, and intra-patient variability in serial values, 3 Lp(a) assay methods appeared similarly predictive of ALI MACE reduction.
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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 | 0.003 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".