Terlipressin for Hepatorenal Syndrome in Patients With Early‐Stage Acute‐on‐Chronic Liver Failure
Bibliographic record
Abstract
BACKGROUND & AIMS: Hepatorenal syndrome-acute kidney injury (HRS-AKI) is a life-threatening complication of decompensated cirrhosis. The US Food and Drug Administration approved terlipressin use for HRS-AKI based on the CONFIRM study, which demonstrated a significant improvement in HRS reversal with terlipressin versus placebo. The label notes elevated risk of respiratory failure in patients with volume overload or acute-on-chronic liver failure (ACLF) grade 3 and limited benefit when serum creatinine (SCr) exceeds 5 mg/dL. METHODS: We performed a post hoc analysis of CONFIRM excluding patients with ACLF grade 3 or SCr ≥ 5 mg/dL. This allowed us to assess the efficacy and safety of terlipressin in a population where the benefit-to-risk profile is more favourable. Efficacy outcomes included HRS reversal, renal replacement therapy (RRT), liver transplantation (LT), RRT-free survival, LT-free survival and overall survival. Changes in SCr, Model for End Stage Liver Disease (MELD) and sodium were also assessed. RESULTS: HRS reversal occurred in 43% (60/141) of patients with terlipressin versus 17% (13/75) with placebo (p < 0.001). Terlipressin was associated with significantly larger reductions (vs. placebo) in SCr (p < 0.001) and increases in serum sodium (p < 0.001). Importantly, LT rates were similar even though MELD scores decreased. 90-day survival was similar between treatment arms. Notably, selecting patients with a favourable benefit-to-risk profile led to a similar incidence of respiratory failure between treatment arms (11% with terlipressin vs. 7% with placebo; p = 0.360). CONCLUSIONS: In patients with HRS-AKI without baseline ACLF grade 3 or SCr ≥ 5 mg/dL, terlipressin improved clinical outcomes and was not associated with an increased risk of respiratory failure. TRIAL REGISTRATION: CONFIRM, ClinicalTrials.gov identifier: NCT02770716.
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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".