Superior Wait‐List Outcomes in Patients with Alcohol‐Associated Liver Disease Compared With Other Indications for Liver Transplantation
Bibliographic record
Abstract
Alcohol-associated liver disease (ALD) is the most common indication for liver transplantation (LT) in the United States and Europe. A 6-month alcohol abstinence period has been required by many transplant programs prior to listing, which may influence wait-list (WL) outcomes. Therefore, we examined WL events in patients with ALD versus non-ALD with a special interest in whether these outcomes differed by sex. All US adults listed for LT from January 2002 to December 2016 were eligible except status 1 patients, Model for End-Stage Liver Disease exceptions, retransplants and those with acute alcoholic hepatitis. The outcomes of interest were cumulative WL death or being too sick and WL removal for improvement within 2 years of listing. Competing risk regression models were used to evaluate recipient factors associated with the outcomes. Among the 83,348 eligible WL patients, 23% had ALD. Unadjusted cumulative WL removal within 2 years was 19.0% for ALD versus 21.1% for non-ALD (P < 0.001). In fully adjusted models, ALD was associated with a significantly lower risk of WL removal for death or being too sick (subhazard ratio [SHR], 0.84; 95% confidence interval [CI], 0.81-0.87; P < 0.001) and a higher risk of removal for improvement (SHR, 2.91; 95% CI, 2.35-3.61; P < 0.001) versus non-ALD patients. After adjusting for potential confounders, women with ALD had a higher risk of removal for death or being too sick (SHR, 1.09; 95% CI, 1.00-1.08; P < 0.001) and a higher chance for improvement (SHR, 2.91; 95% CI, 2.35-3.61; P < 0.001) than men with ALD. In conclusion, WL candidates with ALD have more favorable WL outcomes than non-ALD patients with a 16% lower risk of removal for deterioration and 191% higher risk of removal for improvement. This result likely reflects the benefits of alcohol abstinence, but it suggests that listing criteria for ALD may be too restrictive, with patients who might derive benefit from LT not being listed.
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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 | 0.000 | 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".