Abstract 12156: Greater Regression of Coronary Atherosclerosis With the Pre-Beta High-Density Lipoprotein Mimetic CER-001 in Patients With More Extensive Plaque Burden
Bibliographic record
Abstract
Introduction: Infusing high-density lipoprotein (HDL) has been shown to promote plaque regression in patients with acute coronary syndrome (ACS). The factors associated with a greater propensity to regression have not been elucidated. We hypothesized greater plaque regression with HDL infusion would be observed in patients with greater baseline plaque burden. Methods: The CHI-SQUARE study compared the effect of infusing the pre-beta HDL mimetic CER-001 (3 to 12 mg/kg) versus placebo weekly for 5 weeks in patients with a recent ACS on plaque burden using serial intravascular ultrasound. Receiver operating characteristics curve analysis determined that a baseline percent atheroma volume (PAV) ≥30% optimally associated with greater regression. Clinical and imaging characteristics were compared in patients with baseline PAV <30% (n=74) or ≥30% (n=271). Results: There were no differences between the groups apart from greater use of statin in patients with baseline PAV ≥30% (100 v. 90%, p=0.01). Patients with a greater baseline PAV were more likely to demonstrate echolucency (20 v. 9%, p=0.02) and ultrasound attenuation (21 v. 7%, p=0.01), consistent with lipidic and inflammatory material. On serial evaluation, PAV decreased with CER-001 infusion in patients with baseline PAV ≥30% by -0.27% (p=0.01 v. baseline), but not in those with baseline PAV <30% (+0.43%, p=0.15 v. baseline, p=0.01 between plaque burden groups). The greatest PAV regression was observed with infusing CER-001 3 mg/kg in patients with baseline PAV ≥30% by 0.96% (p=0.04 v. baseline, p=0.02 v. placebo) (Table), but not in those patients with baseline PAV <30% (+0.08%, p=0.55 v. baseline, p=0.004 for comparison between plaque burden groups). Conclusions: Greater plaque regression with CER-001 3 mg/kg was observed in ACS patients with greater atheroma burden and more vulnerable features. The findings identify ACS patients with high-risk plaque features most likely to benefit from HDL mimetic therapy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".