Lopinavir/Ritonavir Pharmacokinetics in a Substitution of High‐Dose Soft‐Gelatin Capsule to Tablet Formulation
Bibliographic record
Abstract
Guidelines recommend that when soft-gelatin capsules of lopinavir/ritonavir are co-administered with CYP3A4-inducing agents, doses should be increased to 4 capsules (533 mg/133 mg) twice daily. No evidence is available to guide dosing of lopinavir/ritonavir in tablet formulation in this setting. A single-center study is conducted to compare the pharmacokinetics of high-dose lopinavir/ritonavir in 34 patients on stable HAART regimens including 4 soft-gelatin capsules twice daily who then switch to 3 tablets (600 mg/150 mg) twice daily. Median C(min) on soft-gelatin capsule and tablets is 4700 ng/mL (interquartile range [IQR] 2310, 6000 ng/mL) and 5640 ng/mL (IQR 4290, 8080 ng/mL), respectively, for those on inducing agents (n = 17). For patients not on inducing agents (n = 17), median C(min) on soft-gelatin capsule and tablets is 5170 ng/mL (IQR 3640, 6210 ng/mL) and 5640 ng/mL (IQR 4290, 8080 ng/mL), respectively. Among treatment-experienced patients on lopinavir/ritonavir capsules 533/133 mg twice daily, a switch to tablets 600/150 mg twice daily produces comparable pharmacokinetics, regardless of whether they receive concomitant CYP3A4-inducing antiretroviral agents.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".