Alcohol-associated Liver Disease Is Now the Most Common Indication for Liver Transplant Waitlisting Among Young American Adults
Bibliographic record
Abstract
BACKGROUND: Mortality from cirrhosis is increasing and is the highest among young adults with alcohol-associated liver disease (ALD). The aim of this study was to describe rates of liver transplant (LT) waitlisting stratified by age, sex, and cirrhosis etiology. METHODS: Retrospective population-based study from 2003 to 2018 using the Scientific Registry of Transplant Recipients database. Adults newly registered on the LT waitlist were included, and age at listing was dichotomized to ±40 y. Annual standardized incidence proportions of LT waitlisting by age group, sex, and etiology were calculated using census data. Changes in annual rates were described with Poisson regression. RESULTS: A total of 209 399 unique individuals were included, 10 326 (5%) <40 y at listing. In those <40 y of age, listing increased most for ALD (4-fold increase) followed by nonalcoholic fatty liver disease (NAFLD; 2-fold increase). Compared to young adult males, young females were more likely to be listed for ALD and less likely to be listed for NAFLD. In those ≥40 y of age, listings increased most for ALD (2-fold increase) and NAFLD (2-fold increase). Hepatitis C virus increased from 2003 to 2013 and declined post-2014 in the ≥40-y age group. CONCLUSIONS: LT waitlisting is increasing substantially in young Americans, driven primarily by ALD. These data support ongoing efforts to identify adolescents and young adults with early stages of ALD where interventions can be implemented to prevent the development of cirrhosis and liver-related complications.
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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 | 0.001 | 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".