Pharmacokinetic Interaction Among Ezetimibe, Rosuvastatin, and Telmisartan
Bibliographic record
Abstract
Abstract To evaluate the pharmacokinetic interactions among rosuvastatin, ezetimibe, and telmisartan, a randomized, open‐label, 3‐period, 6‐sequence crossover study was conducted in healthy subjects. Subjects received one of the following treatments once daily for 7 days in each period with a 1‐week washout: a fixed‐dose combination of ezetimibe/rosuvastatin 10/20 mg, telmisartan 80 mg, combination therapy of ezetimibe/rosuvastatin 10/20 mg, or telmisartan 80 mg. Blood samples were collected up to 24 hours postdose at steady state. Geometric mean ratios (GMRs) and their 90% confidence intervals (CIs) of the combination therapy to monotherapy for the maximum plasma concentration (Cmax,ss), and the area under the time‐concentration curve within a dosing interval at steady state (AUCtau,ss) were estimated. Among the 36 randomized subjects, 31 subjects completed the study. The GMRs and 90%CIs of Cmax,ss and AUCtau,ss of total ezetimibe were not significantly altered. The Cmax,ss of free ezetimibe was increased (GMR, 1.85; 90%CI, 1.56–2.19) but not for the AUCtau,ss (GMR, 1.16; 90%CI, 1.06–1.26). Similarly, the Cmax,ss of rosuvastatin was increased (GMR, 2.13; 90%CI, 1.88–2.43) without a change in the AUCtau,ss (GMR, 1.09; 90%CI, 1.03–1.15). The Cmax,ss (GMR, 1.16; 90%CI, 1.01–1.32) and AUCtau,ss (GMR, 1.26; 90%CI, 1.17–1.37) of telmisartan were slightly increased. Considering the therapeutic range of the components, the interaction would have limited clinical impact.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.000 |
| 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".