Plasma levels of human growth differentiation factor 15 (GDF-15) and their effect of alirocumab on major adverse cardiovascular events and all-cause death after acute coronary syndrome
Bibliographic record
Abstract
Abstract Background Human growth differentiation factor 15 (GDF-15) is a stress response cytokine of the transforming growth factor-β superfamily with roles in health and disease, cell survival and inflammation, and whose elevated plasma levels impair muscle metabolism and cause cachexia. GDF-15 also may play multiple roles in the pathophysiology of cardiovascular disease. Methods The ODYSSEY OUTCOMES trial compared the PCSK9 inhibitor alirocumab to placebo added to high-intensity or maximum-tolerated statin in patients post-acute coronary syndrome (ACS). We assessed in >11,000 patients for whom biobank samples were available, the relation between GDF-15 levels (Roche Diagnostics) at baseline and at 4 months with risk of major adverse cardiovascular events (MACE; primary endpoint, comprising coronary heart disease death, non-fatal myocardial infarction, fatal/non-fatal ischaemic stroke, unstable angina requiring hospitalization) and all-cause death, with adjustment for age and sex. Results Median GDF-15 (quartile [Q]1, Q3) at baseline was 1022 (755, 1465) pg/mL and was reduced by a placebo-adjusted median of 22 pg/mL with alirocumab (p=0.0009) at month 4. This lowering of GDF-15 by alirocumab may represent the first such report via pharmacotherapy. In the placebo group, baseline GDF-15 was significantly associated with risks of MACE (Figure Panel A) and death (Panel B). Relative risk reduction with alirocumab did not vary according to baseline GDF-15 levels for MACE (Panel C) and death (Panel D). Four-year MACE absolute risk reduction [ARR (95% CI)] with alirocumab at Q1 and Q3 of baseline GDF-15 was 2.0% (0.1%, 3.9%) and 2.6% (0.2%, 5.0%), respectively. Reduction of GDF-15 with alirocumab at month 4 was not associated with subsequent MACE (p=0.46) but was associated with death (p=0.0009), with greater reductions translating to lower risk. Conclusion In patients with recent ACS, GDF-15 is a strong predictor of both MACE and death. Reduction of GDF-15 with alirocumab at month 4 was not associated with subsequent MACE but was associated with death (p=0.0009), with greater ARR reductions translating to lower risk. Figure. Splines for baseline GDF-15 vs risk of MACE (Panel A; spline p<0.0001) or all-cause death (Panel B; spline p<00001) through 4 years in the placebo group; treatment hazard ratio for MACE (Panel C; spline p=0.52) and all-cause death (Panel D; spline p=0.78). All splines reflect adjustment for age and sexFigure
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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) | 0.000 | 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 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".