Long term effect of infection control practices and associated factors during a major Clostridium difficile outbreak in Costa Rica
Bibliographic record
Abstract
INTRODUCTION: The C. difficile BI/NAP 1 hyper virulent strain has been responsible for the nosocomial outbreaks in several countries. The present study describes the infection control strategies utilized to achieve outbreak control as well as the factors associated with a C. difficile BI/NAP 1 hyper virulent strain outbreak in Costa Rica. METHODOLOGY: A descriptive analysis of the C. difficile outbreak was completed for the period of January 2007 to December 2010 in one affected hospital. An unmatched case-control study was subsequently performed to evaluate the association of exposure factors with C. difficile infection. RESULTS: The pattern of the outbreak was characterized by a sharp increase in the incidence rate during the initial weeks of the outbreak, which was followed by a reduction in the incidence curve as several infection control measures were implemented. The C. difficile BI/NAP1 infection was associated with the prescription of antibiotics, in particular levofloxacin (OR: 9.3; 95%CI: 2.1-40.2), meropenem (OR: 4.9, 95%CI: 1.0-22.9), cefotaxime (OR: 4.3, 95%CI: 2.4-7.7), as well as a medical history of diabetes mellitus (OR: 2.9, 95%CI: 1.5-5.8). CONCLUSIONS: The infection control strategies implemented proved to be effective in achieving outbreak control and in maintaining the baseline C. difficile incidence rate following it. The reported C. difficile outbreak was associated with the prescription of broad-spectrum antibiotics and a medical history of diabetes.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".