Épidémiologie des infections à Clostridium difficile chez les patients hospitalisés dans un centre hospitalo-universitaire
Bibliographic record
Abstract
Clostridium difficile is responsible for almost all cases of pseudomembranous colitis and for 15%-25% of cases of post-antibiotic (ATB) diarrhea. Since 2003 and the emergence of 027 strain, CDI epidemiology is changing, with evidence of rising incidence and severity. In response to the alarming situation we decided to conduct a prospective study at Eduard Herriot Hospital to explore in details this infection. Patient’s inclusion has started in February 2011 and will end in February 2014. In a meta-analysis we found that the risk profiles for antimicrobial classes as risk factors for community-acquired CDI are similar to those described for nosocomial CDI. We used the ORION statement (Outbreak Reports and Intervention Studies Of Nosocomial infection) to synthesize knowledge of interventions to reduce and to control CDI in hospitals. Then in a retrospective study, we found that male gender, rising serum C-reactive protein level, and previous exposure to fluoroquinolones were independently associated with severe CDI in ICU. Between 2011 and 2013, 430 patients were included in our prospective cohort study. Data analysis of 118 cases of CDI showed an inefficient knowledge of current recommendations of CDI treatment. The crude mortality rate within 30 days after CDI diagnosis was 19.5%, with 15 deaths (65.7% of deceased patients) related to CDI. In a multivariate cox regression model, gender, serum albumin, antidiarrheal medications, cephalosporins, peritonitis and septic shock were independently associated with mortality in CDI patients. When diarrhea was not related to C. difficile, mortality was rather associated with cancer and high WBC level
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 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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".