Chemical disinfectant resistance in multiple antibiotic resistant and susceptible bacteria
Bibliographic record
Abstract
Chemical disinfectants are used extensively in hospitals and other health care settings for a variety of hard-surface applications. The widespread use of chemical disinfectants has prompted some speculation that there may be a link between disinfectant resistance and antibiotic resistance. This type of link could have significant implications regarding nosocomial infections. The aim of the study was to evaluate whether such a link exists in bacterial strains that have been responsible for hospital outbreaks. We acquired several different bacterial species that were resistant to multiple antibiotics and had caused severe nosocomial outbreaks. These were compared to counterparts of the same species that were antibiotic susceptible strains. The comparison was performed using surface carrier as well as suspension testing. Because patient secretions may protect survival of organisms in the hospital setting, we incorporated an organic challenge in our test model. Our data for surface carrier and suspension tests indicated that even in the presence of an organic challenge, the multiple antibiotic resistant pathogens were not any more resistant to disinfectant killing compared to susceptible strains of the same species. (Abstract shortened by UMI.)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".