Randomized controlled trial of chlorhexidine gluconate, intranasal mupirocin, rifampin, and doxycycline versus chlorhexidine gluconate and intranasal mupirocin alone for the eradication of methicillin-resistant <i>Staphylococcus aureus</i> (MRSA) colonization
Bibliographic record
Abstract
Background: Several decolonization regimens have been studied to prevent recurrent methicillin-resistant Staphylococcus aureus (MRSA) infections. Clinical equipoise remains with regard to the role of MRSA decolonization. We compared initial MRSA clearance and subsequent MRSA recolonization rates over a 12-month period after standard decolonization (using topical chlorhexidine gluconate, and intranasal mupirocin) or systemic decolonization (using topical chlorhexidine gluconate, intranasal mupirocin, oral rifampin, and oral doxycycline). Methods: MRSA-colonized patients were randomized to receive either standard or systemic decolonization. Follow-up with MRSA screening was obtained at approximately 3, 6, and 12 months after completion of therapy. Kaplan–Meier survival curves were calculated and assessed for significant differences using log-rank tests. Results: Of 98 enrolled patients (25 standard decolonization, 73 systemic decolonization), 24 patients (7 standard decolonization, 17 systemic decolonization) did not complete the study. Univariate analysis showed a marginally significant difference in the probability of remaining MRSA-negative post-treatment ( p = 0.043); patients who received standard decolonization had a 31.9% chance of remaining MRSA-negative compared with a 49.9% chance among those who received systemic decolonization. With multivariate analysis, there was no difference in the probability of remaining MRSA-negative between systemic and standard decolonization ( p = 0.165). Initial MRSA clearance was more readily achieved with systemic decolonization (79.1%; 95% CI 32.4% to 71.6%) than with standard decolonization (52.0%; 95% CI 69.4% to 88.8%; p = 0.0102). Conclusions: Initial MRSA clearance is more readily achieved with systemic decolonization than with standard decolonization. There is no significant difference in the probability of sustained MRSA clearance.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".