<i>Clostridium difficile</i>: Recent Epidemiologic Findings and Advances in Therapy
Bibliographic record
Abstract
Clostridium difficile-associated disease (CDAD) has become an important public health problem. The causative organism is acquired by the oral route from an environmental source or by contact with an infected person or a health care worker who serves as a vector. Disruption of the bowel microflora, generally by antibiotics, creates an environment that allows C. difficile to proliferate. Organisms produce toxins A and B, which cause intense inflammation of the colonic mucosa. The syndrome that results includes severe diarrhea, fever, abdominal pain, and leukocytosis. A new strain of C. difficile has become prevalent in the United States, Canada, and the United Kingdom. Identified by pulsed-field gel electrophoresis (PFGE), this strain is called North America PFGE type 1, abbreviated as NAP-1. Clostridium difficile NAP-1 characteristically generates large amounts of toxins A and B, as well as an additional binary toxin and is associated with enhanced morbidity and a poor response to antibiotic therapy. Mild cases of CDAD may respond to cessation of antibiotic therapy, perhaps related to antibody production by the infected person, but most infected persons require antimicrobial therapy. Vancomycin has been approved by the United States Food and Drug Administration for treatment of CDAD, but reluctance to use this antibiotic in the hospital setting has led to reliance on metronidazole as first-line therapy. Recent studies show a high rate of failure, due either to infection by NAP-1 or to the presence, in hospitals, of older and sicker adults who have been treated with many broad-spectrum antibiotics. Nitazoxanide, bacitracin, teicoplanin, and fusidic acid are additional agents that have published efficacy for this indication in humans. Rifaximin and PAR-101 are under investigation. Other therapies, including polymers that bind C. difficile toxin and monoclonal antibodies to toxins, and preventive measures such as toxoid vaccines are also under study.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 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".