Factors predicting vancomycin therapy outcomes in hemodialysis outpatients and the role of the nephrology stewardship pharmacist
Bibliographic record
Abstract
BACKGROUND: Vancomycin is the default antibiotic to treat methicillin-resistant Staphylococcus aureus (MRSA) in hemodialysis (HD) units. Current guidelines recommend a vancomycin trough range of 15 to 20 mg/L for serious infections. Data regarding the clinical success of these recommendations are scarce in HD patients. PURPOSE: The purpose of this studies is to evaluate the treatment outcomes of vancomycin in HD patients. METHODS: A retrospective chart review of HD outpatients who received parenteral vancomycin for suspected or documented MRSA infections in a community hospital in southwestern Ontario, Canada. Stepwise binary logistic regression analysis was conducted to identify the independent predictors of the treatment outcomes. RESULTS: Of 77 HD patients, 113 vancomycin treatment courses were identified. The unadjusted bivariate comparisons suggested that there was no difference between treatment success and failure groups in terms of: mean loading dose (1663.6 ± 451.9 mg vs. 1614.3 ± 471 mg, P = 0.621), mean pre-HD concentration after loading dose (12.78 ± 4.4 mg/L vs. 13.34 ± 4.5 mg/L, P = 0.601), and mean maintenance dose (1012.1 ± 108 mg vs. 1069.7 ± 227 mg, P = 0.093). The groups were, however, different on their mean pre-HD drug concentration after maintenance dose (15.99 ± 4.6 mg/L vs. 19.9 ± 5.8 mg/L, P = 0.002). The adjusted logistic regression results, however, suggested that the type of infection was the only independent predictor of vancomycin success (OR = 11.07; 95% confidence interval [CI] = 3.2-38.48). Specifically, patients treated for bacteremia were 11 times more likely to experience cure as compared with diabetic foot infection and/or osteomyelitis. Similarly, those with skin and soft tissue infections were 10.7 times more likely to experience cure than those with diabetic foot infection and/or osteomyelitis (OR = 10.7; 95% CI = 3.63-31.58). CONCLUSION: The suggested vancomycin pre-HD concentration in the guidelines did not predict the treatment outcomes. Patients with bacteremia and/or skin or soft tissue infections were more likely to achieve clinical cure than patients with diabetic foot/osteomyelitis infections.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".