Third-Generation Cephalosporin-Resistant Spontaneous Bacterial Peritonitis: A single-Centre Experience and Summary of Existing Studies
Bibliographic record
Abstract
BACKGROUND: Spontaneous bacterial peritonitis (SBP) is the most prevalent bacterial infection in patients with cirrhosis. Although studies from Europe have reported significant rates of resistance to third-generation cephalosporins, there are limited SBP-specific data from centres in North America. OBJECTIVE: To evaluate the prevalence of, predictors for and clinical impact of third-generation cephalosporin-resistant SBP at a Canadian tertiary care centre, and to summarize the data in the context of the existing literature. METHODS: SBP patients treated with both antibiotics and albumin therapy at a Canadian tertiary care hospital between 2003 and 2011 were retrospectively identified. Multivariate logistic regression was used to determine independent predictors of third-generation cephalosporin resistance and mortality. RESULTS: In 192 patients, 25% of infections were nosocomial. Forty per cent (77 of 192) of infections were culture positive; of these, 19% (15 of 77) were resistant to third-generation cephalosporins. The prevalence of cephalosporin resistance was 8% with community-acquired infections, 17% with health care-associated infections and 41% with nosocomial acquisition. Nosocomial acquisition of infection was the only predictor of resistance to third-generation cephalosporins (OR 4.0 [95% CI 1.04 to 15.2]). Thirty-day mortality censored for liver transplantation was 27% (50 of 184). In the 77 culture-positive patients, resistance to third-generation cephalosporins (OR 5.3 [1.3 to 22]) and the Model for End-stage Live Disease score (OR 1.14 [1.04 to 1.24]) were independent predictors of 30-day mortality. CONCLUSIONS: Third-generation cephalosporin-resistant SBP is a common diagnosis and has an effect on clinical outcomes. In an attempt to reduce the mortality associated with resistance to empirical therapy, high-risk subgroups should receive broader empirical antibiotic coverage.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 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".