Healthcare-associated (HA) bloodstream infections (BSI) secondary top surgical site infections: surveillance program across Quebec hospitals (2007 to 2010)
Bibliographic record
Abstract
Acute care centers with ≥ 1000 admissions/year were invited to participate voluntarily and declare via a web portal all HA-BSIs secondary to a SSI between 2007 and 2010.The surveillance program also included outpatients and paediatric patients. 56 of the 89 eligible centers participated (67% of short-term hospital beds), 64 % of those beds were in teaching hospitals. Of the 7709 episodes of HA-BSIs, 874 (11 %) were secondary to a SSI. Gastrointestinal surgeries were, by far, the leading cause of BSIs (244 – 28%) followed by cardiac surgery (132 – 15%), and orthopaedic surgery (98 – 11%). Implants were present in 25 cases (19%). The majority of SSIs (496 -57%) were organ space infections. S. aureus was the organism most often isolated in 28% (274), followed by E. coli in 13% (130) of patients. Overall, 79% of patients were admitted on a general/specialised ward upon onset, compared to 15% in ICU, and 6% in ambulatory care. The mean time to infection was 21 days with a median of 10 days (median time to infection for cardiac compared to gastrointestinal surgery: 11 and 8 days respectively). 75% of BSIs occurred in teaching hospitals. The Quebec surveillance program for HA-BSIs is a convenient way to survey the most severe SSIs, awaiting the development of a complete SSI surveillance program. Further analyses are needed to better understand the correlation between this targeted program and a complete SSI surveillance program.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".