Identification of Candida auris in a foreign repatriated patient to Ontario, Canada and infection control strategies to prevent transmission
Bibliographic record
Abstract
Background: Candida auris (C. auris) is an emerging fungus which presents a global health threat with increased morbidity and mortality in hospitalized patients. Upon identification of our first case of C. auris on admission from a foreign hospital, we set out to implement infection prevention and control (IPAC) measures to prevent transmission. Methods: We conducted a prospective surveillance of C. auris in a community teaching hospital from April 2019 to November 2020. We also implemented protocols to prevent C. auris infection such as staff education and training; establishing policy/procedures for screening and testing of patients at risk and/or colonized with C. auris; validation of microbiology methodology, cleaning and disinfection protocols to prevent equipment and environmental contamination, and patient and family information. Results: Following this prospective surveillance program, a positive case of C. auris was identified from a high-risk patient admitted to the hospital. After identification of the case of C. auris, over 600 unit mates (patients on the same unit) were screened, and multiple environmental specimens were tested for C. auris, but no additional case was detected or evidence of hospital-acquired transmission over the 19-month hospitalization of the case. Conclusion: Multidisciplinary approach, extra resources and senior management support are necessary to prevent and control transmission of C. auris within the healthcare setting.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".