Diagnosis, Management, and Prevention of Clostridium difficile Infection in Long‐Term Care Facilities: A Review
Bibliographic record
Abstract
Clostridium difficile is a significant healthcare-associated pathogen and the major cause of antibiotic-associated diarrhea. The incidence and severity of C. difficile infection have increased in many parts of North America and Europe in the past few years with the widespread dissemination of a hypervirulent strain of C. difficile, referred to as North American pulsed-field type 1, polymerase chain reaction ribotype 027 (NAP1/027). C. difficile infection appears to affect older adults disproportionately. Long-term care facility (LTCF) residents are at greater risk because of advanced age, the frequent need for hospitalization, and recurrent exposures to antimicrobial agents. Early identification of C. difficile infection and prompt initiation of appropriate therapy are required to reduce morbidity and mortality. Diagnosis is based on the detection of C. difficile toxins A or B in diarrheal stool specimens. The treatment of choice for moderate or severe C. difficile infection (defined as the presence of pseudomembranous colitis, treatment in an intensive care unit, or two of (i) aged 60 and older, (ii) fever greater than 38.3°C, (iii) peripheral leukocytosis (>15,000 cells/mm(3) ), or (iv) hypoalbuminemia (<2.5 mg/dL) should be with oral vancomycin (125 mg four times a day for 10-14 days). Treatment with oral metronidazole should be reserved for those with milder disease. Measures to prevent outbreaks and reduce the risk of C. difficile infection in LCTFs should include antimicrobial stewardship to ensure judicious use of antibiotics, C. difficile infection surveillance, appropriate use of contact or barrier precautions, and careful environmental cleaning and disinfection using sporicidal agents.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".