The Use of Therapeutic Drug Monitoring in Complex Antituberculous and Antiretroviral Drug Dosing in HIV/Tuberculosis-Coinfected Patients
Bibliographic record
Abstract
UNLABELLED: We report 2 cases coinfected with HIV and tuberculosis (HIV/TB), requiring drug dose adjustments guided by therapeutic drug monitoring (TDM) and/or serum drug concentrations. CASE 1: Over the course of the 9-months of TB treatment, drugs that required increased doses due to low concentrations included efavirenz (800 mg), rifampin (900 mg), and isoniazid (450 mg). Higher drug doses were well tolerated until the end of treatment. CASE 2: Over the 12-month course of TB therapy, drugs that required increased doses due to incomplete and/or delayed absorption were rifampin (1500 mg), moxifloxacin (800 mg), and ethambutol (1600 mg). Higher drug doses were well tolerated until the end of treatment. Due to delayed/incomplete drug absorption and weight gain during therapy, higher antituberculous doses may be required in patients coinfected with HIV/TB. A daily dose of efavirenz 800 mg was well tolerated in both patients (weight over 70 kg). Managing patients coinfected with HIV/TB is complex, and, therefore, TDM of drug concentrations can help guide clinical decision making.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".