Abstract 13991: Angiopoietin-2 in Patients With Atrial Fibrillation - Associations With Clinical Characteristics and Outcomes
Bibliographic record
Abstract
Introduction: Natriuretic peptides and cardiac troponin are associated with clinical outcomes in patients with atrial fibrillation (AF) but the search for disease-specific biomarkers is ongoing. We evaluated a novel candidate biomarker of endothelial remodeling and vascular growth, Angiopoietin-2 (Ang2), and its associations with clinical characteristics and outcomes in patients with AF not receiving oral anticoagulation. Methods: We used a prototype electroimmunoassay (Roche Diagnostics) to measure levels of Ang2 in plasma samples obtained at baseline from patients with AF randomized to aspirin monotherapy in two clinical trials. Associations of Ang2 with clinical characteristics and outcomes were explored using linear and Cox regression models. Results: A total of 2,987 patients were included (median age 71 years, 58% male and 13% with prior stroke). Median (25th-75th percentile) Ang2 plasma level was 3.12 (2.15-4.88) ng/mL. In adjusted analyses, Ang2 showed significant associations with AF-rhythm on the baseline ECG, age, heart failure, non-paroxysmal AF, female sex, active smoking, higher body mass index, creatinine and diabetes. Adjusting for age and other clinical characteristics, Ang2 was associated with subsequent ischemic stroke (third vs. first quartile, hazard ratio [HR] 1.76, 95% confidence interval [CI] 1.19-2.61), heart failure hospitalization (HR 1.75, 95% CI 1.27-2.41), cardiovascular (HR 2.01, 95% CI 1.36-2.97) and all-cause death (HR 1.24, 95% CI 1.01-1.53), but not major bleeding. The association with heart failure remained after additional adjustment for N-terminal pro-B-type natriuretic peptide (p=0.002). There was no interaction with cardiac rhythm at baseline for any of the outcomes. Conclusions: Plasma levels of circulating Ang2 were associated with clinical characteristics and outcomes in patients with AF not receiving oral anticoagulation. Ang2 was a particularly strong predictor of heart failure hospitalization.
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".