One‐year outcome of patients with cirrhosis who developed spontaneous bacterial empyema: A cohort study
Bibliographic record
Abstract
OBJECTIVE: This study aimed to evaluate outcomes in cirrhotic patients diagnosed with spontaneous bacterial empyema (SBE) compared with those without this complication. METHODS: We performed a retrospective cohort study of cirrhotic patients from a tertiary care center. The primary outcome was time to death or liver transplantation (LT) within one year after diagnosis of infection. We integrated three groups: patients with SBE (group A), patients with spontaneous bacterial peritonitis (SBP; group B), and cirrhotic patients without SBP or SBE (group C), matched by age, model for end-stage liver disease-sodium (MELD-Na) score and year of infection. Outcomes were analyzed using a Cox regression model adjusted for cardiovascular risk factors and MELD-Na score. RESULTS: Between January 1999 and February 2019, 4829 cirrhotic patients were identified. Among them, 73 (1.5%) had hepatic hydrotorax, of whom 22 (30.1%) were diagnosed with SBE. Median age in group A was 58 years, 50% were men, and median MELD-Na was 21.5. Compared with group C, the hazard ratio of death or LT during the first year after infection was 2.98 (95% confidence interval [CI] 1.43-6.22, P = 0.004) for group A and 1.23 (95% CI 0.65-2.32, P = 0.522) for group B. CONCLUSIONS: Our results suggest that patients with SBE have a worse outcome during the first year after infection is diagnosed. Patients who develop SBE should be promptly referred for transplant evaluation. SBE may emerge as new indication that could benefit from MELD exception points.
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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) | 0.000 | 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 | 0.001 | 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".