A298 HIGH MORTALITY NOTED AMONG PATIENTS ADMITTED WITH ALCOHOL ASSOCIATED HEPATITIS: A DESCRIPTIVE STUDY
Bibliographic record
Abstract
Abstract Background Alcohol associated hepatitis is a syndrome related to alcohol use disorder characterized by jaundice, malaise, decompensated liver disease, and coagulopathy. This is associated with bacterial infections, the development of chronic liver failure, and high short-term mortality. However, the rates at which these events occur is less understood, with a broad range of estimates reported. Aims To understand the demographic profile of those admitted with alcohol associated hepatitis assess its impact on resource utilization, complications in hospital, and mortality. Methods This study examined a subset of individuals with alcohol associated hepatitis who were admitted to the GI and Medicine Wards between 2010 and 2023. Results 70 encounters were identified and interpreted. The average age at admission was 48.3 ± 11.4 years old. 62.8% were male and 22% reported cannabis use. 54% had a previous reported history of alcohol use disorder. The average MELD-Na score at the time of admission was 25.9 ± 7.7. The Median length of stay was 8.5 days (IQR 4.5,15). 63% were provided steroids in hospital and 33.3% developed infectious complications. 36.3% of patients had a GI bleed reported during admission. 4% of patients underwent a transplantation during follow-up. Approximately 44.3% experienced mortality with a 30-day mortality rate found to be 28.6%. Conclusions Alcohol associated hepatitis patients are prone to developing infections and bleeding during admission. This diagnosis also carries a high mortality rate, particularly within the first 30 days. Further studies examining the global impact of alcohol associated hepatitis should be considered. Table 1: Baseline Demographics Funding Agencies None
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.003 | 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".