Effect of a novel catheter locking solution for the prevention of hemodialysis catheter-related infection
Bibliographic record
Abstract
Catheter'-related infections (CRIs) are a grorving problern in the hernodialysis population.There is therefore an increased need for an effective catheter locking solution for CRI prevention.Cunent antibiotic locking solutions can prevent infection, but rniclobial resistance nray be a significant lirnitation.Our solution containing ethanol and trisodiurn citrate (TSC) should eliminate this concern while providing anticoagulation in the catheter between tleahnents.In this í¡r vín'o sludy, we hypothesized that our novel ethanol/TSC solution would kill bacteria in culture and prevent biofilm formation by organisms that cause hernodialysis CRL Using a t.,vo pafi expedmental procedule, testing a suspension ofbacteria in culture and testing biofilm growth using the Calgary Biofihn Device, we confimed that our ethanol/TSC catheter locking solution kills olganisms in culture within I hour and prevents biofilm fonnation.These results are very promising and further clinical investigations are wan'anted in the hemodialysis population.Acknorvledgements Thank you to Dr. Vercaigne, my advisor', fol teaching rne so much throughout my Master's program.I would especially like to thank hirn for his patience and for always having a rnotivating word to say.I'd also like to thank my committee members
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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".