Investigation of Clostridioides (Clostridium) difficile in a community hospital in Southern Ontario, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: In response to Clostridioides (Clostridium) difficile infections (CDI), infection prevention and control practices in hospital settings tend to focus on symptomatic patients, potentially neglecting other sources of C. difficile. The purpose of the study was to identify epidemiological connections between C. difficile positive patients to explore the possibility of transmission occurring. This would allow an assessment of IPAC practices to ensure resources were being optimized and targeted to the most appropriate strategies to prevent transmission. Methods: C. difficile was isolated and characterized from 125 patient stool specimens. Isolates were subjected to toxin profiling and ribotyping. Patient locations in the hospital were mapped and epidemiological connections between patients with the same C. difficile ribotype were assessed. Results: A total of 47 distinct ribotypes were identified, with the most common being ribotype 027/NAP1. Of the 41 cases identified as hospital-associated, only four (9.8%) of the cases could be epidemiologically linked to another patient with known CDI. Conclusions: A small minority of hospital-associated infections were found to have an epidemiological link to another known case of CDI suggesting transmission from known cases is rare. This suggested that current IPAC practices were effective in preventing transmission from symptomatic patients, but other sources of C. difficile are potentially unrecognized.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it