Clinical and microbiological characteristics associated with mortality in spontaneous bacterial peritonitis: a multicenter cohort study
Bibliographic record
Abstract
OBJECTIVES: Spontaneous bacterial peritonitis (SBP) is a prevalent and high mortality complication of cirrhosis. We aimed to describe these patients' clinical and microbiological characteristics and evaluate their impact on outcomes. METHODS: This was a retrospective cohort study including 139 consecutive patients with positive culture SBP from three Portuguese centers diagnosed between 2009 and 2014. Multivariate logistic regression was used to study associations with 30-day mortality. RESULTS: The mean age of the patients was 62 years and 81% of patients were men. The mean model for end-stage liver disease score was 19. Hepatic encephalopathy, hepatorenal syndrome, and variceal bleeding developed in 47, 30, and 21% of patients, respectively. Gram-positive bacteria were isolated in the ascitic fluid of 42% of patients. Resistance to quinolones and multiresistance were found in 33 and 17% of patients, respectively. C-reactive protein level (adjusted odds ratio, 1.16 per 1 mg/l increment) and development of hepatorenal syndrome (adjusted odds ratio, 2.86) were associated independently with 30-day mortality (model's area under the curve, 0.78). CONCLUSION: In this cohort, SBP portended high early mortality. Gram-positive bacteria, bacteria resistant to quinolones, and multiresistant bacteria were identified in considerable proportions of patients. In the setting of the high early mortality and changing microbiological profile, SBP management strategies need to be improved.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".