Effect of ultraviolet light C on bacterial colonization in chronic wounds.
Bibliographic record
Abstract
Ultraviolet light C (light wavelength 200 nm to 290 nm) has been shown to kill cultures of antibiotic resistant strains of bacteria such as methicillin-resistant Staphylococcus aureus. To evaluate the ability of ultraviolet light C to reduce the amount and type of bacteria present in chronically infected ulcers, as well as to establish the test-retest reliability of the semi-quantitative swab technique, a prospective, one-group, pre-post treatment study was conducted among patients receiving treatment in several in- and outpatient facilities and nursing homes. Individuals with chronic ulcers exhibiting at least two signs of infection and critically colonized with bacteria (n = 22) received a single 180-second treatment using an ultraviolet light C lamp (wavelength = 254 nm) placed 1 inch from the wound bed. Semi-quantitative swabs taken immediately before and after UVC treatment were used to assess changes in the bacterial bioburden present within the wound bed. Results demonstrated excellent test-retest reliability of the semi-quantitative swab technique used to evaluate the type and amount of bacteria present in chronic wounds (Cohen's kappa = 0.92). Assessment of wound bioburden using semi-quantitative swabs revealed a statistically significant (P <0.0001) reduction in the relative amount of bacteria following a single treatment of ultraviolet light C. The greatest reduction in semi-quantitative swab scores following ultraviolet light C treatment were observed for wounds colonized with the bacteria Pseudomonas aeruginosa and wounds colonized with only one species of bacteria. Significant (P <0.05) reductions in the relative amount of bacteria also were observed in 12 ulcers in which methicillin-resistant Staphylococcus aureus was present. These results confirm previous laboratory studies and demonstrate that ultraviolet light C can kill bacteria such as Pseudomonas aeruginosa, Staphylococcus aureus, and methicillin-resistant Staphylococcus aureus present in superficial layers of chronic wounds.
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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 | 0.000 | 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) | 0.000 | 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".