Initial Vancomycin Dosing Protocol to Achieve Therapeutic Serum Concentrations in Patients Undergoing Hemodialysis
Bibliographic record
Abstract
BACKGROUND: Although recent consensus guidelines proposed more aggressive vancomycin troughs of >10 or 15-20 mg/L for complicated Staphylococcus aureus infections, dosing information to achieve these targets in patients undergoing hemodialysis (HD) is scarce. METHODS: We used Monte Carlo simulation (MCS) methods with a previously published population-pharmacokinetic model and relevant patient demographics to evaluate and revise our existing vancomycin dosing protocol (1000-mg load followed by 500-mg maintenance dose, with doses infused during the last hour of dialysis). A new protocol (1000-mg load followed by 500-mg maintenance dose for patients <70 kg, 1250-mg followed by 750-mg for those 70-100 kg, and 1500-mg followed by 1000-mg for those >100 kg) was developed and prospectively validated to achieve therapeutic serum troughs in patients undergoing high-flux HD. RESULTS: MCSs predicted that our existing protocol would be suboptimal in more than one-third of patients. Simulations predicted that the new vancomycin dosing protocol would achieve maintenance (pre-HD) troughs of 10-20 mg/L in 86.0% of cases including 15-20 mg/L in 35.2%. In prospective validation, the observed postload trough (pre-HD session 2) was 13.5 ± 3.4 mg/L with 76.9% of levels (20 of 26) between 10 and 20 mg/L. The observed maintenance trough was 17.3 ± 4.0 mg/L with 65.5% (19 of 29) between 10 and 20 mg/L and 89.7% (26 of 29) within 10% of the upper limit (ie, 10-22 mg/L). CONCLUSIONS: In this study, a practical vancomycin dosing protocol for patients undergoing HD was developed and prospectively validated to achieve therapeutic serum concentrations in the clinical setting.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".