Hospital-acquired antibiotic-resistant organisms among patients with COVID-19
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: We sought to use existing in-patient surveillance data to investigate the risk of hospital-acquired antimicrobial-resistant organisms (ARO) among patients with COVID-19 infection. Methods: Prospective case capture was done for patients admitted with COVID-19, as well as those admitted with ARO and Clostridioides difficile infections (CDI). Odds ratios (OR) were used to measure the strength of association between COVID-19 infection and the risk of acquiring hospital-acquired ARO and CDI. Results: The odds of acquiring ARO/CDI were statistically higher among patients with hospital-acquired and community-acquired COVID-19 infections (OR=2.68 and 1.79 respectively) compared to persons without COVID-19 (OR=0.53). Conclusions: Our results show an association between COVID-19 infection and the acquisition of ARO/CDI in the in-patient setting. This finding suggests that prolonged hospitalization may expose patients to hospital-acquired infections, and this may have relevance in the management of patients requiring hospitalization for extended periods of time.
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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 | 0.000 | 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 | 0.001 | 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) | 0.002 | 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