P-19 CHARACTERIZATION, PROGNOSTIC FACTORS, AND SURVIVAL IN MODERATE ALCOHOL-ASSOCIATED HEPATITIS: A MULTICENTER STUDY
Bibliographic record
Abstract
Alcohol-associated hepatitis (AH) corresponds to a severe entity with high short-term mortality; however, few studies have been published in patients with moderate AH. This study aimed to characterize patients with moderate AH in a global study, identifying prognostic factors and survival at 30, 90, and 180 days. Multi-center retrospective cohort study, which included patients with moderate AH (2009-2019). Moderate AH was defined as MELD 20 at presentation. We used competing-risk models with liver transplantation as a competing risk to assess variables associated with mortality. We included 564 patients (24 centers, 12 countries). Median age was 48±11.6 years, 29.2% female, and 46.2.5% Caucasian. 51.7% had cirrhosis, and 1.4% underwent liver transplantation. The MELD score on admission was 17 [6-20]. In the entire cohort, 37.7% used corticosteroids. Survival rates at 30, 90, and 180 days were 93.7% (0.911–0.955), 89.1% (0.860–0.916), and 87% (0.836–0.898), respectively. The most frequent causes of death were multiple organ failure (30.4%) and infections (11.5%). In the univariate analysis, variables associated with mortality were age (sHR 1.035, 95%CI:1.020–1.049; p <0.001), Maddrey's discriminant function (sHR 1.013, 95%CI:1.007–1.020; p<0.001), albumin at admission (sHR 0.837, 95%CI:0.682–1.026; p 0.087), INR (sHR 1.534; 95%CI: 1.070–2.198, p=0.020), renal replacement therapy (RRT) (sHR 7.066; 95%CI:4.381–11.392; p<0.001) and infections during hospitalization (sHR 2.079; 95%CI:1.308–3.306; p=0.002)(Table). However, in the multivariate-adjusted model, only age (sHR 1.042; 95%CI:1.019–1.0656, p<0.001), RRT (sHR 7.796; 95%CI:3.993–15.218, p<0.001) and infections during hospitalization (sHR 1.666; 95%CI:0.999–2.779; p=0.050) were associated with mortality. Of note, corticosteroids did not demonstrate benefit. Patients with moderate AH have a significant mortality at short-term. Infections are associated with higher mortality and are the most important cause of death in these patients. Better models are necessary to predict mortality in moderate AH adequately.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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".