Formulation Dependent Pharmacokinetics–Does the Dosage Form Matter for Nifedipine?
Bibliographic record
Abstract
This was an open-label, randomized, 3-way crossover study that compared in 25 healthy male subjects, the pharmacokinetics of a single 60-mg dose of nifedipine GITS tablet versus (1) 20-mg doses of nifedipine prolonged action tablets given q12h for a total of two doses and (2) 2 x 10 mg doses of nifedipine capsules given q8h for a total of three doses. Following capsule administration, there was a rapid rise in plasma concentration of drug achieving a peak concentration of 196(35) ng/mL (mean and coefficient of variation) within 0.7 (105) hours and an AUC(infinity) of 973(39) ng.hr/mL. After nifedipine PA there was also a rapid rise in plasma concentration of drug achieving a Cmax of 85.5 (36) ng/mL with a tmax of 1.7(58) hours and an AUC(infinity) of 879(46) ng.hr/mL. For the nifedipine GITS formulation, there was a lag in the plasma concentration time profile for approximately 2 to 3 hours, then it rose gradually achieving a Cmax of of 686(54) 30.5(63) ng/mL with a tmax of 15.0(50) hours and an AUC(infinity) ng.hr/mL. The AUC(infinity) and Cmax were significantly (P = 0.0001) greater in the capsule and PA formulations than for the GITS; however, the tmax for the GITS formulation was significantly (P = 0.001) longer than for the other formulations. This study suggests marked formulation-dependent pharmacokinetics, which may have important clinical implications.
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".