Bempedoic acid safety analysis: Pooled data from four phase 3 clinical trials
Bibliographic record
Abstract
BACKGROUND: An ongoing need exists for safe and effective lipid-lowering therapies (LLTs) for patients unable to achieve desired lipid levels with current treatment options. OBJECTIVE: The objective of this study was to describe the safety profile of bempedoic acid, an oral, first-in-class, adenosine triphosphate (ATP)-citrate lyase inhibitor that significantly reduces low-density lipoprotein cholesterol (LDL-C) levels by 17.4%-28.5% vs placebo. METHODS: This was a pooled analysis of four phase 3, randomized (2:1), double-blind, placebo-controlled studies in patients with hypercholesterolemia who required additional LDL-C lowering, despite stable maximally-tolerated LLT. Patients received 180 mg of bempedoic acid (n = 2424) or placebo (n = 1197) once daily for 12 to 52 weeks. Assessments included treatment-emergent adverse events (TEAEs) and clinical laboratory tests. RESULTS: Of 3621 patients (the median drug exposure: 363 days), exposure-adjusted TEAE rates were 87.1/100 and 82.9/100 person-years (PY) for bempedoic acid and placebo, respectively. No single TEAE influenced the difference in rates. TEAEs leading to discontinuation occurred at rates of 13.4/100 and 8.9/100 PY for bempedoic acid vs placebo, with the most common cause being myalgia, which occurred less frequently with bempedoic acid vs placebo (1.5/100 vs 2.0/100 PY). Rates of myalgia and muscle weakness were comparable vs placebo. Bempedoic acid was associated with mild increases in blood urea nitrogen, creatinine, and uric acid and decreases in hemoglobin. These laboratory abnormalities were apparent by week 4, stable over time, and reversible after treatment cessation. Gout incidence was 1.6/100 vs 0.5/100 PY in the bempedoic acid vs placebo groups. New-onset diabetes/hyperglycemia occurred less frequently with bempedoic acid vs placebo (4.7/100 vs 6.4/100 PY). The safety profile was consistent across subgroups. CONCLUSIONS: Bempedoic acid is generally safe and well tolerated among patients with hypercholesterolemia who require additional LLT.
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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 | 0.020 | 0.016 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.012 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| 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".