Liver Function and Prognosis, and Influence of Sacubitril/Valsartan in Patients with Heart Failure with Reduced Ejection Fraction
Bibliographic record
Abstract
AIMS: The prevalence of liver function abnormalities is common in patients with heart failure (HF) with reduced ejection fraction (HFrEF). We assessed the impact of liver function on prognosis and the effect of sacubitril/valsartan on measures of liver function in patients with HFrEF. METHODS AND RESULTS: The PARADIGM-HF trial was a randomized, double-blind, active treatment-controlled trial. We included 8232 HFrEF patients with available measures of liver function, including transaminases, alkaline phosphatase (ALP) and bilirubin; the primary endpoint was a composite of HF hospitalization and cardiovascular (CV) death. At screening, 11.6% of study patients had total bilirubin above the upper limit of normal (20.5 μmol/L) and 9.2% had ALP above the upper limit of normal (123 IU/L). Although ALP and albumin were associated with an increased risk of outcomes, among conventional test of liver function, total bilirubin was the strongest predictor for the primary endpoint [hazard ratio (HR) 1.10; 95% confidence interval (CI) 1.04-1.15; P < 0.001], HF hospitalization (HR 1.14; 95% CI 1.07-1.22; P < 0.001); CV death (HR 1.07; 95% CI 1.00-1.14; P = 0.040), and all-cause death (HR 1.08; 95% CI 1.02-1.14; P = 0.009). All conventional measures of liver function were significantly improved in the sacubitril/valsartan group compared with the enalapril group after randomization (between-group reduction: total bilirubin 2.4%, 95% CI 0.7-4.2%, P = 0.007; aspartate aminotransferase 7.9%, 95% CI 6.7-9.0%, P < 0.001; alanine aminotransferase 7.7%; 95% CI 6.2-9.3%, P < 0.001; ALP 5.4%, 95% CI 4.4-6.4%, P < 0.001). CONCLUSION: Total bilirubin was a significant and independent predictor of CV death or HF hospitalization and all-cause mortality in patients with HFrEF enrolled in PARADIGM-HF. Sacubitril/valsartan improved measures of liver function compared with enalapril.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".