Hepatorenal Dysfunction Identifies High-Risk Patients with Acute Heart Failure: Insights from the RELAX-AHF Trial
Bibliographic record
Abstract
AIMS: Episodes of acute heart failure (AHF) may lead to end-organ dysfunction. In this post hoc analysis of the Relaxin in Acute Heart Failure trial, we used the MELD-XI (Model of End-Stage Liver Dysfunction) score to examine hepatorenal dysfunction in patients with AHF. METHODS AND RESULTS: On admission, the MELD-XI score was elevated (abnormal) in 918 (82%) patients, with 638 (57%) having isolated renal dysfunction (creatinine > 1 mg/dL), 73 (6.5%) isolated liver dysfunction (bilirubin > 1 mg/dL), and 207 (18.5%) coexisting dysfunction of the kidneys and the liver (both creatinine and bilirubin > 1 mg/dL). The percentage of patients with elevated MELD-XI score remained constant through a 60 day follow-up, as we observed a gradual decrease of liver dysfunction prevalence, counterbalanced by an increase in renal dysfunction. Serelaxin treatment was associated with a lower MELD-XI score on Day 2 and Day 5 (both P < 0.05), but this difference vs. placebo disappeared during longer follow-up. In the multivariable model, an elevated MELD-XI score on admission was associated with higher 180 day mortality: hazard ratios (95% confidence interval) for cardiovascular death were 3.10 (1.22-7.87), and for all-cause death 2.47 (1.19-5.15); both P < 0.05. The addition of the MELD-XI score to a prespecified prognostic model increased the discrimination of the model for all-cause death, but the increment in the C-index was only modest: 0.013 (P = 0.02). CONCLUSIONS: In patients with AHF, hepatorenal dysfunction is prevalent and related to poor outcome. The MELD-XI score is a useful prognosticator in AHF.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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; both teacher heads agree on what is shown here.
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".