Effect of rifaximin on infections, acute‐on‐chronic liver failure and mortality in alcoholic hepatitis: A pilot study (RIFA‐AH)
Bibliographic record
Abstract
BACKGROUND & AIMS: Alcoholic hepatitis (AH) is associated with a high incidence of infection and mortality. Rifaximin reduces bacterial overgrowth and translocation. We aimed to study whether the administration of rifaximin as an adjuvant treatment to corticosteroids decreases the number of bacterial infections at 90 days in patients with severe AH compared to a control cohort. METHODS: This was a multicentre, open, comparative pilot study of the addition of rifaximin (1200 mg/day/90 days) to the standard treatment for severe AH. The results were compared with a carefully matched historical cohort of patients treated with standard therapy and matching by age and model of end-stage liver disease (MELD). We evaluated bacterial infections, liver-related complications, mortality and liver function tests after 90 days. RESULTS: Twenty-one and 42 patients were included in the rifaximin and control groups respectively. No significant baseline differences were found between groups. The mean number of infections per patient was 0.29 and 0.62 in the rifaximin and control groups, respectively (p = .049), with a lower incidence of acute-on-chronic liver failure (ACLF) linked to infections within the treatment group. Liver-related complications were lower within the rifaximin group (0.43 vs. 1.26 complications/patient respectively) (p = .01). Mortality was lower in the treated versus the control groups (14.2% vs. 30.9, p = .15) without significant differences. No serious adverse events were associated with rifaximin treatment. CONCLUSIONS: Rifaximin is safe in severe AH with a significant reduction in clinical complications. A lower number of infections and a trend towards a lower ACLF and mortality favours its use in these patients.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".