Growth Differentiation Factor-15, Treatment with Liraglutide, and Clinical Outcomes Among Patients with Heart Failure
Bibliographic record
Abstract
AIMS: Associations between growth differentiation factor-15 (GDF-15), cardiovascular outcomes, and exercise capacity among patients with a recent hospitalization for heart failure (HHF) and heart failure with reduced ejection fraction (HFrEF) are unknown. We utilized data from the 'Functional Impact of GLP-1 for Heart Failure Treatment' (FIGHT) study to address these knowledge gaps. METHODS AND RESULTS: FIGHT was a randomized clinical trial testing the effect of liraglutide (vs. placebo) among 300 participants with HFrEF and a recent HHF. Multivariable regression models evaluated associations between baseline GDF-15 and change in GDF-15 (per 1000 pg/mL increase from baseline to 30 days) with clinical outcomes (at 180 days) and declines in exercise capacity (6 min walk distance ≥ 45 m). At baseline (n = 249), median GDF-15 value was 3221 pg/mL (interquartile range 1938-5511 pg/mL). Participants in the highest tertile of baseline GDF-15 were more likely to be male and have more co-morbidities. After adjustment, an increase in GDF-15 over 30 days was associated with higher risk of death or HHF [hazard ratio 1.35, 95% confidence interval (CI) 1.11-1.64]. In addition, higher baseline GDF-15 (per 1000 pg/mL until 6000 pg/mL) and an increase in GDF-15 over 30 days were associated with declining 6 min walk distance (odds ratio 1.26, 95% CI 1.02-1.55 and odds ratio 1.37, 95% CI 1.12-1.69, respectively). GDF-15 levels remained stable among participants randomized to liraglutide. CONCLUSIONS: An increase in GDF-15 over 30 days among patients in HFrEF was independently associated with an increased risk of cardiovascular events and declining exercise capacity. These results support the value of longitudinal GDF-15 trajectory in informing risk of heart failure disease progression.
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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) | 0.001 | 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".