Outcomes of patients with alcohol‐associated hepatitis and acute kidney injury – Results from the HRS Harmony Consortium
Bibliographic record
Abstract
BACKGROUND & AIMS: The development of acute kidney injury (AKI) in the setting of alcohol-associated hepatitis (AH) portends a poor prognosis. Whether the presence of AH itself drives worse outcomes in patients with cirrhosis and AKI is unknown. METHODS: Retrospective cohort study of 11 hospital networks of consecutive adult patients admitted in 2019 with cirrhosis and AKI. AKI phenotypes, clinical course, and outcomes were compared between AH and non-AH groups. RESULTS: A total of 2062 patients were included, of which 303 (15%) had AH, as defined by National Institute on Alcohol Abuse and Alcoholism (NIAAA) criteria. Patients with AH, compared to those without, were younger and had higher Model for End-stage Liver Disease-Sodium (MELD-Na) scores on admission. AKI phenotypes significantly differed between groups (p < 0.001) with acute tubular necrosis occurring more frequently in patients with AH. Patients with AH reached more severe peak AKI stage, required more renal replacement therapy, and had higher 90-day cumulative incidence of death (45% [95% CI: 39%-51%] vs. 38% [95% CI: 35%-40%], p = 0.026). Using no AH as reference, the unadjusted sHR for 90-day mortality was higher for AH (sHR: 1.24 [95% CI: 1.03-1.50], p = 0.024), but was not significant when adjusting for MELD-Na, age and sex. However, in patients with hepatorenal syndrome, AH was an independent predictor of 90-day mortality (sHR: 1.82 [95% CI: 1.16-2.86], p = 0.009). CONCLUSIONS: Hospitalised patients with cirrhosis and AKI presenting with AH had higher 90-day mortality than those without AH, but this may have been driven by higher MELD-Na rather than AH itself. However, in patients with hepatorenal syndrome, AH was an independent predictor of mortality.
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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) | 0.001 | 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".