Safety and efficacy of continuous terlipressin infusion in HRS-AKI in a transplant population
Bibliographic record
Abstract
Hepatorenal syndrome-acute kidney injury (HRS-AKI) is associated with significant morbidity and mortality. While liver transplantation is the definitive treatment, continuous terlipressin infusion for HRS-AKI may provide benefit and, as such, was assessed in a population composed of candidates for liver transplant (LT). Fifty hospitalized LT-eligible patients with HRS-AKI received a single bolus followed by continuous terlipressin infusion. Acute-on-chronic liver failure grade 3, serum creatinine (SCr)>5.0 mg/dL, or Model for End-Stage Liver Disease (MELD) ≥35 were exclusions. Fifty hospitalized patients who received midodrine and octreotide or norepinephrine for HRS-AKI served as a historical comparator cohort. Complete response (CR) was defined as a ≥30% decrease in SCr with end-of-treatment (EOT) SCr≤1.5, partial response as a ≥30% decrease in SCr with EOT SCr>1.5, and nonresponse as a <30% decrease in SCr. CR rate was significantly higher in the terlipressin cohort compared to the historical cohort (64% vs. 16%, p <0.001). Survival, while numerically higher in those who received terlipressin, was statistically similar (D30: 94% vs. 82%, p =0.12; D90: 78% vs. 68%, p =0.37). Renal replacement therapy (RRT) was more common among terlipressin NR than CR and PR (70% vs. 3% vs. 13%, p < 0.001). EOT MELD and SCr were significantly lower within terlipressin cohort (MELD: 19 vs. 25, SCr: 1.4 vs. 2.1 mg/dL, p <0.001). Sixteen of 40 terlipressin-treated patients received LT-alone (terlipressin CR in 10/16). One patient on terlipressin had a hypoxic respiratory failure that responded to diuretics; one possibly had drug-related rash. With continuous terlipressin infusion, a CR rate of 64% was observed with a favorable safety profile. Terlipressin use was associated with lower EOT MELD and SCr than the historical midodrine and octreotide/norepinephrine cohort; LT-alone was accomplished in a high proportion of complete terlipressin responders.
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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 | 0.001 | 0.002 |
| 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 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".