Growth Differentiation Factor-15 is Not Modified by Sacubitril/Valsartan and is an Independent Marker of Risk in Patients with Heart Failure and Reduced Ejection Fraction: The PARADIGM-HF Trial
Bibliographic record
Abstract
Abstract Aims Growth differentiation factor-15 (GDF-15) is associated with adverse prognosis in cardiovascular (CV) and non-CV diseases. We evaluated the association of GDF-15 with CV and non-CV outcomes in the PARADIGM-HF trial. Methods and results In 1935 patients with heart failure and reduced ejection fraction (HFrEF) in PARADIGM-HF, median GDF-15 values were elevated and similar in sacubitril/valsartan and enalapril patients (1626 ng/L and 1690 ng/L, respectively). Diabetes, age, creatinine, high-sensitive troponin T, N-terminal pro-B-type natriuretic peptide, and New York Heart Association class III/IV were most strongly associated with elevated GDF-15 values (all P < 0.001) (adjusted R2 = 0.3857). Baseline GDF-15 and changes in GDF-15 at both 1 month and 8 months (log-transformed) were associated with subsequent mortality and CV events. Each 20% increment in baseline GDF-15 value was associated with a higher risk of mortality [adjusted hazard ratio (HR) 1.13, 95% confidence interval (CI) 1.08–1.18, P < 0.001], the combined endpoint of CV death or hospitalization for heart failure (adjusted HR 1.09, 95% CI 1.05–1.14, P < 0.001) and heart failure death (adjusted HR 1.16, 95% CI 1.05–1.28, P < 0.001). Changes in GDF-15 were not influenced by assigned therapy (all P-values ≥ 0.1). Conclusion In patients with ambulatory HFrEF, GDF-15 is not modified by sacubitril/valsartan and is strongly associated with mortality and CV outcomes, suggesting that GDF-15 is a marker of poor outcomes in these patients. Clinical Trial Registration: ClinicalTrials.gov Identifier NCT01035255.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".