Therapeutic Drug Monitoring for Evaluation of the Efficacy and Safety of Vancomycin in Patients with Orthopaedic Infections
Bibliographic record
Abstract
Vancomycin is a drug of choice for the infections caused by methicillin-resistant strains of staphylococci. Its use requires individualised dosing and renal function monitoring. The aim of the study was to evaluate, using therapeutic drug monitoring (TDM), the frequency of reaching target trough serum concentrations (TSCs) and the frequency of renal function impairment in orthopaedic infection patients receiving vancomycin therapy. Materials and methods: the authors carried out a retrospective analysis of vancomycin TSC test results of 457 patients admitted to a purulent osteology department in 2019–2021. The results were grouped according to the number of TSC determination performed as part of TDM (tests 1, 2, and 3). Each of the 3 groups was further divided into 4 subgroups according to the TSCs of vancomycin: ≤9.9 µg/ml (extremely low), 10–14.9 µg/ml (recommended for mild infections), 15–19.9 µg/ml (recommended for bone and joint infections), ≥20 µg/ml (potentially toxic). The results obtained in each group were analysed separately. Results: according to the 1st TDM test, only 9.6% of patients achieved the TSCs of vancomycin recommended for bone and joint infections. Extremely low TSCs, insufficient for treatment of the infections, were found in 64.8% of patients. According to the 2nd and 3rd TSC determinations, dose corrections decreased the percentage of patients with extremely low TSCs to 49.9% and 41.2%, respectively. Potentially toxic TSCs of vancomycin were detected in 48 (10.5%) patients, but renal dysfunction was observed only in 8 (1.75%) of them. The authors exemplify the use of TDM to control the efficacy and safety of vancomycin in patients with pronounced signs of renal function impairment by two clinical cases. Conclusion: with a standard dose of vancomycin, the concentrations recommended for bone and joint infections were reached only in every tenth patient. There was a large percentage of patients with extremely low serum concentrations of the medicinal product (64.8%), but it decreased after dose adjustments. Monitoring of vancomycin concentrations allows for individualised dosing, efficacy control and significant reduction of the risk of adverse kidney reactions.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".