Effectiveness of a 30% ethanol/4% trisodium citrate locking solution in preventing biofilm formation by organisms causing haemodialysis catheter-related infections
Bibliographic record
Abstract
OBJECTIVES: Antibiotic locks may be used to prevent haemodialysis catheter-related infections (CRIs). This in vitro study tested the effectiveness of a novel 30% ethanol/4% trisodium citrate lock solution in preventing biofilm formation by the most common pathogens causing haemodialysis CRIs. METHODS: Ten clinical isolates of Staphylococcus aureus, Staphylococcus epidermidis, Pseudomonas aeruginosa and Escherichia coli were tested. Bacterial suspensions of each isolate were prepared in a control solution of normal saline/Mueller-Hinton broth (MHB) and in a lock solution of 30% ethanol/4% trisodium citrate and MHB. The bacterial suspensions were placed into the wells of a Calgary Biofilm Device (CBD) and incubated with fresh solution every 24 h for 72 h. The biofilm formation was assessed by removing the CBD pegs, placing them in normal saline and sonicating them for 5 min. The resulting solution was sampled and the colony counts were determined after 24 h of incubation. RESULTS: All controls demonstrated biofilm growth of between 6 x 10(6) and 7.4 x 10(7) cfu/mL over 72 h. In the 30% ethanol/4% trisodium citrate lock solution, no biofilm growth was observed after 72 h of incubation. These results were consistent among duplicates of all isolates. CONCLUSIONS: The 30% ethanol/4% trisodium citrate lock solution prevented the biofilm formation of all isolates of S. aureus, S. epidermidis, P. aeruginosa and E. coli in vitro. Further studies are necessary to determine its efficacy and safety in the haemodialysis population.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".