Extended spectrum beta‐lactamase‐producing bacteria and <i>Clostridium difficile</i> in patients with pouchitis
Bibliographic record
Abstract
BACKGROUND: Treatment with fluoroquinolones is associated with the development of Clostridium difficile and extended spectrum beta-lactamase-producing bacteria (ESBL). Clostridium difficile and ESBL are resistant to many antibiotics and each may cause pouchitis after restorative proctocolectomy (RPC) refractory to empirical antibiotic therapy. AIM: To assess the prevalence and establish risk factors for the development of ESBL and Clostridium difficile toxins (CDT) in RPC patients with recurrent or refractory pouchitis under follow-up at our institution over a 1-year period. METHOD: An enzyme-linked immunosorbent assay was used to detect CDT and a culture technique was used to identity ESBL in faecal samples. All patients had previously received fluoroquinolone treatment. RESULTS: Forty-eight patients (35 (74%) men; median age 42 years) underwent testing at a median interval from RPC of 8 (range 1-25) years. No patient had a positive CDT result, but ESBL bacteria were identified in 16 (33%) samples. ESBL positivity was significantly related to prepouch ileitis (P = 0.035) and maintenance antibiotic therapy (P = 0.039). CONCLUSIONS: Extended spectrum beta-lactamase, but not CDT, is a common finding in faecal samples from patients with recurrent or refractory pouchitis. Treatment with maintenance antibiotics and prepouch ileitis are risk factors for developing ESBL-producing bacteria.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".