Effect of omega-3-acid ethyl esters on steady-state plasma pharmacokinetics of atorvastatin in healthy adults
Bibliographic record
Abstract
BACKGROUND: Prescription omega-3-acid ethyl esters (P-OM3) have been used as adjunctive therapy to statin drugs in patients with mixed hyperlipidemia. OBJECTIVE: To assess the effect of concomitant administration of 4 g P-OM3 on the steady-state pharmacokinetics of the maximum recommended daily dose of atorvastatin (80 mg) in healthy volunteers. METHODS: This was a randomized, open-label, repeated-dose, two-way crossover, drug interaction study of two treatments: 4 g of P-OM3 with 80 mg atorvastatin daily or 80 mg atorvastatin daily, each administered for 14 days under fasting conditions to 50 healthy adults. MAIN OUTCOME MEASURES: The primary determinants of drug interaction were the ln-transformed area under the plasma concentration versus time curve (AUCtau) and maximum measured steady-state plasma concentration (C(max,ss)) over the final 24 h dosing interval (day 14) for atorvastatin and 2-hydroxyatorvastatin. Safety assessment included clinical laboratory evaluations and adverse event reporting. RESULTS: The extent and rate of exposure (AUCtau, C(max,ss)) to atorvastatin and its active metabolites following daily administration of P-OM3 with atorvastatin (80 mg) were similar to those following the administration of atorvastatin (80 mg) alone. Both treatments were well tolerated. CONCLUSIONS: After 14 days of dosing, the rate and extent of exposure (AUCtau, C(max,ss)) to atorvastatin and its active metabolites were similar with both treatments, indicating that administration of P-OM3 did not affect the steady-state bioavailability of orally administered atorvastatin.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".